IEEE Transactions on Medical Imaging

1. Zeng Q, Xie Y, Lu Z, Lu M, Zhang J, Zhou Y, Xia Y. Consistency-guided differential decoding for enhancing semi-supervised medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Aug 1. link 

2. Liu J, Li H, Zeng B, Wang H, Kikinis R, Joskowicz L, Chen X. An end-to-end geometry-based pipeline for automatic preoperative surgical planning of pelvic fracture reduction and fixation. IEEE Transactions on Medical Imaging. 2024 Jul 16. link 

3. Ye Y, Zhang J, Chen Z, Xia Y. CADS: A self-supervised learner via cross-modal alignment and deep self-distillation for CT volume segmentation. IEEE Transactions on Medical Imaging. 2024 Jul 22. link 

4. Quan Q, Yao Q, Zhu H, Zhou SK. IGU-Aug: Information-guided unsupervised augmentation and pixel-wise contrastive learning for medical image analysis. IEEE Transactions on Medical Imaging. 2024 Aug 1. link 

5. Kim B, Zhuang Y, Mathai TS, Summers RM. OTMorph: Unsupervised Multi-domain Abdominal Medical Image Registration Using Neural Optimal Transport. IEEE Transactions on Medical Imaging. 2024 Aug 2. link 

6. Xu Z, Liu Y, Xu G, Lukasiewicz T. Self-supervised medical image segmentation using deep reinforced adaptive masking. IEEE Transactions on Medical Imaging. 2024 Aug 1. link 

7. Chen M, Bian Y, Chen N, Qiu A. Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach. IEEE Transactions on Medical Imaging. 2024 Jul 30. link 

8. Müller P, Meissen F, Kaissis G, Rueckert D. Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling. IEEE Transactions on Medical Imaging. 2024 Jul 29. link 

9. Yang X, Xu L, Yu S, Xia Q, Li H, Zhang S. Segmentation and vascular vectorization for coronary artery by geometry-based cascaded neural network. IEEE Transactions on Medical Imaging. 2024 Jul 30. link 

10. Zhang S, Shen X, Chen X, Yu Z, Ren B, Yang H, Zhang XY, Zhou Y. CQformer: Learning Dynamics Across Slices in Medical Image Segmentation. IEEE Transactions on Medical Imaging. 2024 Oct 10. link 

11. Zhang J, Huang C, Lok UW, Dong Z, Liu H, Gong P, Song P, Chen S. Enhancing Row-column array (RCA)-based 3D ultrasound vascular imaging with spatial-temporal similarity weighting. IEEE transactions on medical imaging. 2024 Aug 6. link 

12. Gao J, Lao Q, Kang Q, Liu P, Du C, Li K, Zhang L. Boosting your context by dual similarity checkup for in-context learning medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Aug 8. link 

13. Zhang M, Hu X, Gu L, Liu L, Kobayashi K, Harada T, Yan Y, Summers RM, Zhu Y. A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images with Multi-Relationship Graph Learning. IEEE Transactions on Medical Imaging. 2024 Aug 9. link 

14. Yan S, Yu Z, Liu C, Ju L, Mahapatra D, Betz-Stablein B, Mar V, Janda M, Soyer P, Ge Z. Prompt-driven latent domain generalization for medical image classification. IEEE Transactions on Medical Imaging. 2024 Aug 13. link 

15. Valiuddin MA, Viviers CG, Van Sloun RJ, De With PH, van der Sommen F. Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. IEEE Transactions on Medical Imaging. 2024 Aug 19. link 

16. Xu C, Song Y, Zhang D, Bittencourt LK, Tirumani SH, Li S. Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents. Medical Image Analysis. 2023 Dec 1;90:102980. link 

17. La Barbera G, Rouet L, Boussaid H, Lubet A, Kassir R, Sarnacki S, Gori P, Bloch I. Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: assessment, comparison and improvement. Medical Image Analysis. 2023 Dec 1;90:102986. link 

18. Zhou B, Xie H, Liu Q, Chen X, Guo X, Feng Z, Hou J, Zhou SK, Li B, Rominger A, Shi K. FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. Medical image analysis. 2023 Dec 1;90:102993. link 

19. Tian Y, Liu F, Pang G, Chen Y, Liu Y, Verjans JW, Singh R, Carneiro G. Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical image analysis. 2023 Dec 1;90:102930. link 

20. He W, Zhang C, Dai J, Liu L, Wang T, Liu X, Jiang Y, Li N, Xiong J, Wang L, Xie Y. A statistical deformation model-based data augmentation method for volumetric medical image segmentation. Medical image analysis. 2024 Jan 1;91:102984. link 

21. Shahin AH, Zhao A, Whitehead AC, Alexander DC, Jacob J, Barber D. CenTime: Event-conditional modelling of censoring in survival analysis. Medical Image Analysis. 2024 Jan 1;91:103016. link 

22. Liu B, Dolz J, Galdran A, Kobbi R, Ayed IB. Do we really need dice? the hidden region-size biases of segmentation losses. Medical Image Analysis. 2024 Jan 1;91:103015. link 

23. Adiga S, Dolz J, Lombaert H. Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Analysis. 2024 Jan 1;91:103011. link 

24. Islam NU, Zhou Z, Gehlot S, Gotway MB, Liang J. Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. Medical image analysis. 2024 Jan 1;91:102988. link 

25. Wang Y, Luo Y, Zu C, Zhan B, Jiao Z, Wu X, Zhou J, Shen D, Zhou L. 3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical Image Analysis. 2024 Jan 1;91:102983. link 

26. Liu P, Ji L, Ye F, Fu B. Advmil: Adversarial multiple instance learning for the survival analysis on whole-slide images. Medical Image Analysis. 2024 Jan 1;91:103020. link 

27. Park S, Lee ES, Shin KS, Lee JE, Ye JC. Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology. Medical Image Analysis. 2024 Jan 1;91:103021. link 

28. Mahapatra D, Yepes AJ, Bozorgtabar B, Roy S, Ge Z, Reyes M. Multi-label generalized zero shot chest xray classification by combining image-text information with feature disentanglement. IEEE transactions on medical imaging. 2024 Jul 17. link 

29. Zeng Q, Xie Y, Lu Z, Lu M, Zhang J, Xia Y. Consistency-guided differential decoding for enhancing semi-supervised medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Aug 1;44(1):44-56. link 

30. Liu J, Li H, Zeng B, Wang H, Kikinis R, Joskowicz L, Chen X. An end-to-end geometry-based pipeline for automatic preoperative surgical planning of pelvic fracture reduction and fixation. IEEE Transactions on Medical Imaging. 2024 Jul 16. link 

31. Ye Y, Zhang J, Chen Z, Xia Y. CADS: A self-supervised learner via cross-modal alignment and deep self-distillation for CT volume segmentation. IEEE Transactions on Medical Imaging. 2024 Jul 22. link 

32. Quan Q, Yao Q, Zhu H, Zhou SK. IGU-Aug: Information-guided unsupervised augmentation and pixel-wise contrastive learning for medical image analysis. IEEE Transactions on Medical Imaging. 2024 Aug 1. link 

33. Kim B, Zhuang Y, Mathai TS, Summers RM. Otmorph: unsupervised multi-domain abdominal medical image registration using neural optimal transport. IEEE Transactions on Medical Imaging. 2024 Aug 2. link 

34. Xu Z, Liu Y, Xu G, Lukasiewicz T. Self-supervised medical image segmentation using deep reinforced adaptive masking. IEEE Transactions on Medical Imaging. 2024 Aug 1. link 

35. Chen M, Bian Y, Chen N, Qiu A. Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach. IEEE Transactions on Medical Imaging. 2024 Jul 30. link 

36. Müller P, Meissen F, Kaissis G, Rueckert D. Weakly supervised object detection in chest x-rays with differentiable roi proposal networks and soft roi pooling. IEEE Transactions on Medical Imaging. 2024 Jul 29. link 

37. Yang X, Xu L, Yu S, Xia Q, Li H, Zhang S. Segmentation and vascular vectorization for coronary artery by geometry-based cascaded neural network. IEEE Transactions on Medical Imaging. 2024 Jul 30. link 

38. Zhang S, Shen X, Chen X, Yu Z, Ren B, Yang H, Zhang XY, Zhou Y. Cqformer: Learning dynamics across slices in medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Oct 10. link 

39. Zhang J, Huang C, Lok UW, Dong Z, Liu H, Gong P, Song P, Chen S. Enhancing Row-column array (RCA)-based 3D ultrasound vascular imaging with spatial-temporal similarity weighting. IEEE transactions on medical imaging. 2024 Aug 6. link 

40. Gao J, Lao Q, Kang Q, Liu P, Du C, Li K, Zhang L. Boosting your context by dual similarity checkup for In-Context learning medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Aug 8. link 

41. Zhang M, Hu X, Gu L, Liu L, Kobayashi K, Harada T, Yan Y, Summers RM, Zhu Y. A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. IEEE Transactions on Medical Imaging. 2024 Aug 9. link 

42. Yan S, Yu Z, Liu C, Ju L, Mahapatra D, Betz-Stablein B, Mar V, Janda M, Soyer P, Ge Z. Prompt-driven latent domain generalization for medical image classification. IEEE Transactions on Medical Imaging. 2024 Aug 13. link 

43. Valiuddin MA, Viviers CG, Van Sloun RJ, De With PH, van der Sommen F. Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. IEEE Transactions on Medical Imaging. 2024 Aug 19. link 

44. Chen Z, Bian Y, Shen E, Fan L, Zhu W, Shi F, Shao C, Chen X, Xiang D. Moment-consistent contrastive CycleGAN for cross-domain pancreatic image segmentation. IEEE Transactions on Medical Imaging. 2024 Aug 21. link 

45. Kyung S, Won J, Pak S, Kim S, Lee S, Park K, Hong GS, Kim N. Generative adversarial network with robust discriminator through multi-task learning for low-dose ct denoising. IEEE Transactions on Medical Imaging. 2024 Aug 26. link 

46. Liu C, Cheng S, Shi M, Shah A, Bai W, Arcucci R. Imitate: Clinical prior guided hierarchical vision-language pre-training. IEEE Transactions on Medical Imaging. 2024 Aug 26. link 

47. Borazjani K, Khosravan N, Ying L, Hosseinalipour S. Multi-modal federated learning for cancer staging over non-iid datasets with unbalanced modalities. IEEE Transactions on Medical Imaging. 2024 Aug 28. link 

48. Zhou H, Zhou F, Chen H. Cohort-individual cooperative learning for multimodal cancer survival analysis. IEEE Transactions on Medical Imaging. 2024 Sep 6. link 

49. Yue Z, Jiang J, Hou W, Zhou Q, Spence JD, Fenster A, Qiu W, Ding M. Prior-knowledge embedded u-net based fully automatic vessel wall volume measurement of the carotid artery in 3d ultrasound image. IEEE Transactions on Medical Imaging. 2024 Sep 10. link 

50. Siebert H, Großbröhmer C, Hansen L, Heinrich MP. Convexadam: Self-configuring dual-optimisation-based 3d multitask medical image registration. IEEE Transactions on Medical Imaging. 2024 Sep 16. link 

51. Huang W, Hu J, Xiao J, Wei Y, Bi X, Xiao B. Prototype-guided graph reasoning network for few-shot medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Sep 13. link 

52. Kadry K, Olender ML, Schuh A, Karmakar A, Petersen K, Schaap M, Marlevi D, UpdePac A, Mizukami T, Taylor C, Edelman ER. Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. IEEE transactions on medical imaging. 2024 Oct 7. link 

53. Zhang R, Mo H, Wang J, Jie B, He Y, Jin N, Zhu L. UTSRMorph: a unified transformer and superresolution network for unsupervised medical image registration. IEEE Transactions on Medical Imaging. 2024 Sep 25. link 

54. Zhang J, Pei J, Xu D, Jin Y, Heng PA. DC 2 T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation. IEEE Transactions on Medical Imaging. 2024 Sep 27. link 

55. You X, He J, Yang J, Gu Y. Learning with explicit shape priors for medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Sep 27. link 

56. Liu Y, Tian Y, Wang C, Chen Y, Liu F, Belagiannis V, Carneiro G. Translation consistent semi-supervised segmentation for 3d medical images. IEEE Transactions on Medical Imaging. 2024 Sep 26. link 

57. Chen H, Cai Y, Wang C, Chen L, Zhang B, Han H, Guo Y, Ding H, Zhang Q. Multi-organ foundation model for universal ultrasound image segmentation with task prompt and anatomical prior. IEEE Transactions on Medical Imaging. 2024 Oct 3. link 

58. Chi J, Sun Z, Meng L, Wang S, Yu X, Wei X, Yang B. Low-dose CT image super-resolution with noise suppression based on prior degradation estimator and self-guidance mechanism. IEEE Transactions on Medical Imaging. 2024 Sep 4. link 

59. Shen C, Zhu H, Zhou Y, Liu Y, Yi S, Dong L, Zhao W, Brady DJ, Cao X, Ma Z, Lin Y. Continuous 3D Myocardial Motion Tracking via Echocardiography. IEEE Transactions on Medical Imaging. 2024 Jun 27;43(12):4236-52. link 

60. Xu C, Zhang T, Zhang D, Zhang D, Han J. Deep generative adversarial reinforcement learning for semi-supervised segmentation of low-contrast and small objects in medical images. IEEE Transactions on Medical Imaging. 2024 Apr 1;43(9):3072-84. link 

61. Wu J, Guo D, Wang G, Yue Q, Yu H, Li K, Zhang S. FPL+: Filtered pseudo label-based unsupervised cross-modality adaptation for 3D medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Apr 11;43(9):3098-109. link 

62. Chen X, Zhou B, Guo X, Xie H, Liu Q, Duncan JS, Sinusas AJ, Liu C. DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT. IEEE transactions on medical imaging. 2024 Apr 5;43(9):3110-25. link 

63. Han B, Sun L, Li C, Yu Z, Jiang W, Liu W, Tao D, Liu B. Deep location soft-embedding-based network with regional scoring for mammogram classification. IEEE Transactions on Medical Imaging. 2024 Apr 16;43(9):3137-48. link 

64. Ye S, Xu Y, Chen D, Han S, Liao J. Learning a single network for robust medical image segmentation with noisy labels. IEEE Transactions on Medical Imaging. 2024 Apr 18;43(9):3188-99. link 

65. Chen Y, Gao Y, Zhu L, Shao W, Lu Y, Han H, Xie Z. PCNet: Prior category network for CT universal segmentation model. IEEE Transactions on Medical Imaging. 2024 Apr 30;43(9):3319-30. link 

66. Wu J, Zhang Y, Fang H, Duan L, Tan M, Yang W, Wang C, Liu H, Jin Y, Xu Y. Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle. IEEE Transactions on Medical Imaging. 2024 Apr 26;43(9):3331-42. link 

67. Shaker A, Maaz M, Rasheed H, Khan S, Yang MH, Khan FS. UNETR++: delving into efficient and accurate 3D medical image segmentation. IEEE Transactions on Medical Imaging. 2024 May 9;43(9):3377-90. link 

68. Jiang X, Missel R, Toloubidokhti M, Gillette K, Prassl AJ, Plank G, Horáček BM, Sapp JL, Wang L. Hybrid neural state-space modeling for supervised and unsupervised electrocardiographic imaging. IEEE Transactions on Medical Imaging. 2024 Mar 13;43(8):2733-44. link 

69. Wang Z, Yang Y, Chen Y, Yuan T, Sermesant M, Delingette H, Wu O. Mutual information guided diffusion for zero-shot cross-modality medical image translation. IEEE Transactions on Medical Imaging. 2024 Mar 29;43(8):2825-38. link 

70. Mineo R, Salanitri FP, Bellitto G, Kavasidis I, De Filippo O, Millesimo M, De Ferrari GM, Aldinucci M, Giordano D, Palazzo S, D’Ascenzo F. A convolutional-transformer model for ffr and ifr assessment from coronary angiography. IEEE Transactions on Medical Imaging. 2024 Jul 2;43(8):2866-77. link 

71. Cui H, Li Y, Wang Y, Xu D, Wu LM, Xia Y. Toward accurate cardiac MRI segmentation with variational autoencoder-based unsupervised domain adaptation. IEEE Transactions on Medical Imaging. 2024 Mar 28;43(8):2924-36. link 

72. Huang X, Huang J, Zhao K, Zhang T, Li Z, Yue C, Chen W, Wang R, Chen X, Zhang Q, Fu Y. Sasan: Spectrum-axial spatial approach networks for medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Apr 1;43(8):3044-56. link 

73. Chaudhary MF, Gerard SE, Christensen GE, Cooper CB, Schroeder JD, Hoffman EA, Reinhardt JM. LungViT: ensembling cascade of texture sensitive hierarchical vision transformers for cross-volume chest CT image-to-image translation. IEEE transactions on medical imaging. 2024 Feb 19;43(7):2448-65. link 

74. Li L, Camps J, Wang ZJ, Beetz M, Banerjee A, Rodriguez B, Grau V. Toward enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference. IEEE transactions on medical imaging. 2024 Feb 19;43(7):2466-78. link 

75. Hou Q, Wang Y, Cao P, Cheng S, Lan L, Yang J, Liu X, Zaiane OR. A collaborative self-supervised domain adaptation for low-quality medical image enhancement. IEEE Transactions on Medical Imaging. 2024 Feb 19;43(7):2479-94. link 

76. Zhang J, Pei J, Xu D, Jin Y, Heng PA. DC 2 T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation. IEEE Transactions on Medical Imaging. 2024 Sep 27. link 

77. You X, He J, Yang J, Gu Y. Learning with explicit shape priors for medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Sep 27. link 

78. Liu Y, Tian Y, Wang C, Chen Y, Liu F, Belagiannis V, Carneiro G. Translation consistent semi-supervised segmentation for 3d medical images. IEEE Transactions on Medical Imaging. 2024 Sep 26. link 

79. Chen H, Cai Y, Wang C, Chen L, Zhang B, Han H, Guo Y, Ding H, Zhang Q. Multi-organ foundation model for universal ultrasound image segmentation with task prompt and anatomical prior. IEEE Transactions on Medical Imaging. 2024 Oct 3. link 

80. Chi J, Sun Z, Meng L, Wang S, Yu X, Wei X, Yang B. Low-dose CT image super-resolution with noise suppression based on prior degradation estimator and self-guidance mechanism. IEEE Transactions on Medical Imaging. 2024 Sep 4. link 

81. Shen C, Zhu H, Zhou Y, Liu Y, Yi S, Dong L, Zhao W, Brady DJ, Cao X, Ma Z, Lin Y. Continuous 3D Myocardial Motion Tracking via Echocardiography. IEEE Transactions on Medical Imaging. 2024 Jun 27;43(12):4236-52. link 

82. Xu C, Zhang T, Zhang D, Zhang D, Han J. Deep generative adversarial reinforcement learning for semi-supervised segmentation of low-contrast and small objects in medical images. IEEE Transactions on Medical Imaging. 2024 Apr 1;43(9):3072-84. link 

83. Wu J, Guo D, Wang G, Yue Q, Yu H, Li K, Zhang S. FPL+: Filtered pseudo label-based unsupervised cross-modality adaptation for 3D medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Apr 11;43(9):3098-109. link 

84. Chen X, Zhou B, Guo X, Xie H, Liu Q, Duncan JS, Sinusas AJ, Liu C. DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT. IEEE transactions on medical imaging. 2024 Apr 5;43(9):3110-25. link 

85. Han B, Sun L, Li C, Yu Z, Jiang W, Liu W, Tao D, Liu B. Deep location soft-embedding-based network with regional scoring for mammogram classification. IEEE Transactions on Medical Imaging. 2024 Apr 16;43(9):3137-48. link 

86. Ye S, Xu Y, Chen D, Han S, Liao J. Learning a single network for robust medical image segmentation with noisy labels. IEEE Transactions on Medical Imaging. 2024 Apr 18;43(9):3188-99. link 

87. Chen Y, Gao Y, Zhu L, Shao W, Lu Y, Han H, Xie Z. PCNet: Prior category network for CT universal segmentation model. IEEE Transactions on Medical Imaging. 2024 Apr 30;43(9):3319-30. link 

88. Wu J, Zhang Y, Fang H, Duan L, Tan M, Yang W, Wang C, Liu H, Jin Y, Xu Y. Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle. IEEE Transactions on Medical Imaging. 2024 Apr 26;43(9):3331-42. link 

89. Shaker A, Maaz M, Rasheed H, Khan S, Yang MH, Khan FS. UNETR++: delving into efficient and accurate 3D medical image segmentation. IEEE Transactions on Medical Imaging. 2024 May 9;43(9):3377-90. link 

90. Jiang X, Missel R, Toloubidokhti M, Gillette K, Prassl AJ, Plank G, Horáček BM, Sapp JL, Wang L. Hybrid neural state-space modeling for supervised and unsupervised electrocardiographic imaging. IEEE Transactions on Medical Imaging. 2024 Mar 13;43(8):2733-44. link 

91. Wang Z, Yang Y, Chen Y, Yuan T, Sermesant M, Delingette H, Wu O. Mutual information guided diffusion for zero-shot cross-modality medical image translation. IEEE Transactions on Medical Imaging. 2024 Mar 29;43(8):2825-38. link 

92. Mineo R, Salanitri FP, Bellitto G, Kavasidis I, De Filippo O, Millesimo M, De Ferrari GM, Aldinucci M, Giordano D, Palazzo S, D’Ascenzo F. A convolutional-transformer model for ffr and ifr assessment from coronary angiography. IEEE Transactions on Medical Imaging. 2024 Jul 2;43(8):2866-77. link 

93. Cui H, Li Y, Wang Y, Xu D, Wu LM, Xia Y. Toward accurate cardiac MRI segmentation with variational autoencoder-based unsupervised domain adaptation. IEEE Transactions on Medical Imaging. 2024 Mar 28;43(8):2924-36. link 

94. Huang X, Huang J, Zhao K, Zhang T, Li Z, Yue C, Chen W, Wang R, Chen X, Zhang Q, Fu Y. Sasan: Spectrum-axial spatial approach networks for medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Apr 1;43(8):3044-56. link 

95. Chaudhary MF, Gerard SE, Christensen GE, Cooper CB, Schroeder JD, Hoffman EA, Reinhardt JM. LungViT: ensembling cascade of texture sensitive hierarchical vision transformers for cross-volume chest CT image-to-image translation. IEEE transactions on medical imaging. 2024 Feb 19;43(7):2448-65. link 

96. Li L, Camps J, Wang ZJ, Beetz M, Banerjee A, Rodriguez B, Grau V. Toward enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference. IEEE transactions on medical imaging. 2024 Feb 19;43(7):2466-78. link 

97. Hou Q, Wang Y, Cao P, Cheng S, Lan L, Yang J, Liu X, Zaiane OR. A collaborative self-supervised domain adaptation for low-quality medical image enhancement. IEEE Transactions on Medical Imaging. 2024 Feb 19;43(7):2479-94. link 

98. Wang J, Qiao L, Zhou S, Zhou J, Wang J, Li J, Ying S, Chang C, Shi J. Weakly supervised lesion detection and diagnosis for breast cancers with partially annotated ultrasound images. IEEE Transactions on Medical Imaging. 2024 Feb 19;43(7):2509-21. link 

99. Thandiackal K, Piccinelli L, Gupta R, Pati P, Goksel O. Multi-scale feature alignment for continual learning of unlabeled domains. IEEE Transactions on Medical Imaging. 2024 Feb 21;43(7):2599-609. link 

100. Liu A, Guo Y, Yong JH, Xu F. Multi-grained radiology report generation with sentence-level image-language contrastive learning. IEEE Transactions on Medical Imaging. 2024 Mar 5;43(7):2657-69. link 

101. Chen K, Qin T, Lee VH, Yan H, Li H. Learning robust shape regularization for generalizable medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Mar 4;43(7):2693-706. link 

102. Zhang D, Liu X, Wang A, Zhang H, Yang G, Zhang H, Gao Z. Constraint-aware learning for fractional flow reserve pullback curve estimation from invasive coronary imaging. IEEE Transactions on Medical Imaging. 2024 Jun 11;43(12):4091-104. link 

103. Huang Z, Sun J, Shao Y, Wang Z, Wang S, Li Q, Li J, Yu Q. PolarFormer: a transformer-based method for multi-lesion segmentation in intravascular OCT. IEEE Transactions on Medical Imaging. 2024 Jun 20;43(12):4190-9. link 

104. Agarwal S, Arya KV, Meena YK. Cnn-o-elmnet: Optimized lightweight and generalized model for lung disease classification and severity assessment. IEEE Transactions on Medical Imaging. 2024 Jun 19;43(12):4200-10. link 

105. Wang P, Zhang H, Yuan Y. Mcpl: Multi-modal collaborative prompt learning for medical vision-language model. IEEE Transactions on Medical Imaging. 2024 Jun 24;43(12):4224-35. link 

106. Li S, Qiao P, Wang L, Ning M, Yuan L, Zheng Y, Chen J. An organ-aware diagnosis framework for radiology report generation. IEEE Transactions on Medical Imaging. 2024 Jul 1;43(12):4253-65. link 

107. Wang P, Guo D, Zheng D, Zhang M, Yu H, Sun X, Ge J, Gu Y, Lu L, Ye X, Jin D. Accurate airway tree segmentation in ct scans via anatomy-aware multi-class segmentation and topology-guided iterative learning. IEEE transactions on medical imaging. 2024 Jun 26;43(12):4294-306. link 

108. Yang W, Gao S, Zhang H, Yu H, Xu M, Chong P, Zhang W, Wang H, Zhang W, Qian A. PtbNet: Based on local few-shot classes and small objects to accurately detect PTB. IEEE Transactions on Medical Imaging. 2024 Jun 26;43(12):4331-43. link 

109. Cai L, Fang H, Xu N, Ren B. Counterfactual causal-effect intervention for interpretable medical visual question answering. IEEE Transactions on Medical Imaging. 2024 Jul 9. link 

110. Zhu E, Feng H, Chen L, Lai Y, Chai S. Mp-net: A multi-center privacy-preserving network for medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Mar 13;43(7):2718-29. link 

111. Yin Y, Clark AR, Collins SL. 3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound. IEEE Transactions on Medical Imaging. 2024 Mar 13;43(7):2707-17. link 

112. Li X, Ouyang X, Zhang J, Ding Z, Zhang Y, Xue Z, Shi F, Shen D. Carotid vessel wall segmentation through domain aligner, topological learning, and segment anything model for sparse annotation in mr images. IEEE Transactions on Medical Imaging. 2024 Jul 8;43(12):4483-95. link 

113. Zhang K, Yang Y, Yu J, Fan J, Jiang H, Huang Q, Han W. Attribute prototype-guided iterative scene graph for explainable radiology report generation. IEEE Transactions on Medical Imaging. 2024 Jul 8. link 

114. Van Herten RL, Hampe N, Takx RA, Franssen KJ, Wang Y, Suchá D, Henriques JP, Leiner T, Planken RN, Išgum I. Automatic coronary artery plaque quantification and CAD-RADS prediction using mesh priors. IEEE transactions on medical imaging. 2023 Oct 20;43(4):1272-83. link 

115. Yang H, Wang Q, Zhang Y, An Z, Liu C, Zhang X, Zhou SK. Lung nodule segmentation and uncertain region prediction with an uncertainty-aware attention mechanism. IEEE Transactions on Medical Imaging. 2023 Nov 15;43(4):1284-95. link 

116. Yao Q, He Z, Li Y, Lin Y, Ma K, Zheng Y, Zhou SK. Adversarial medical image with hierarchical feature hiding. IEEE Transactions on Medical Imaging. 2023 Nov 23;43(4):1296-307. link 

117. Li H, Lin Z, Qiu Z, Li Z, Niu K, Guo N, Fu H, Hu Y, Liu J. Enhancing and adapting in the clinic: Source-free unsupervised domain adaptation for medical image enhancement. IEEE Transactions on Medical Imaging. 2023 Nov 28;43(4):1323-36. link 

118. Miao J, Zhou SP, Zhou GQ, Wang KN, Yang M, Zhou S, Chen Y. Sc-ssl: Self-correcting collaborative and contrastive co-training model for semi-supervised medical image segmentation. IEEE Transactions on Medical Imaging. 2023 Nov 23;43(4):1347-64. link 

119. Jung W, Jeon E, Kang E, Suk HI. EAG-RS: a novel explainability-guided ROI-selection framework for ASD Diagnosis via inter-regional relation learning. IEEE Transactions on Medical Imaging. 2023 Nov 28;43(4):1400-11. link 

120. Liu J, Desrosiers C, Yu D, Zhou Y. Semi-supervised medical image segmentation using cross-style consistency with shape-aware and local context constraints. IEEE Transactions on Medical Imaging. 2023 Nov 30;43(4):1449-61. link 

121. Lin W, Gao Z, Liu H, Zhang H. A deformable constraint transport network for optimal aortic segmentation from ct images. IEEE Transactions on Medical Imaging. 2023 Dec 4;43(4):1462-75. link 

122. Liu P, Huang G, Jing J, Bian S, Cheng L, Lu XY, Rao C, Liu Y, Hua Y, Wang Y, He K. An energy matching vessel segmentation framework in 3-D medical images. IEEE Transactions on Medical Imaging. 2023 Dec 4;43(4):1476-88. link 

123. Meng Q, Bai W, O’Regan DP, Rueckert D. DeepMesh: Mesh-based cardiac motion tracking using deep learning. IEEE transactions on medical imaging. 2023 Dec 8;43(4):1489-500. link 

124. Chen J, Li M, Han H, Zhao Z, Chen X. Surgnet: Self-supervised pretraining with semantic consistency for vessel and instrument segmentation in surgical images. IEEE transactions on medical imaging. 2023 Dec 12;43(4):1513-25. link 

125. Li Y, Feng J, Xiang J, Li Z, Liang D. Airport: A data consistency constrained deep temporal extrapolation method to improve temporal resolution in contrast enhanced ct imaging. IEEE transactions on medical imaging. 2023 Dec 22;43(4):1605-18. link 

126. Pei C, Wu F, Yang M, Pan L, Ding W, Dong J, Huang L, Zhuang X. Multi-source domain adaptation for medical image segmentation. IEEE Transactions on Medical Imaging. 2023 Dec 22;43(4):1640-51. link 

127. Elbatel M, Martí R, Li X. FoPro-KD: fourier prompted effective knowledge distillation for long-tailed medical image recognition. IEEE Transactions on Medical Imaging. 2023 Oct 25;43(3):954-65. link 

128. Wu W, Wang Y, Liu Q, Wang G, Zhang J. Wavelet-improved score-based generative model for medical imaging. IEEE transactions on medical imaging. 2023 Oct 19;43(3):966-79. link 

129. Pang Y, Liang J, Huang T, Chen H, Li Y, Li D, Huang L, Wang Q. Slim UNETR: Scale hybrid transformers to efficient 3D medical image segmentation under limited computational resources. IEEE Transactions on Medical Imaging. 2023 Oct 20;43(3):994-1005. link 

130. van Gogh S, Mukherjee S, Rawlik M, Pereira A, Spindler S, Zdora MC, Stauber M, Varga Z, Stampanoni M. Data-driven gradient regularization for quasi-newton optimization in iterative grating interferometry CT reconstruction. IEEE Transactions on Medical Imaging. 2023 Oct 19;43(3):1033-44. link 

131. Guo J, Lu S, Jia L, Zhang W, Li H. Encoder-decoder contrast for unsupervised anomaly detection in medical images. IEEE transactions on medical imaging. 2023 Oct 26;43(3):1102-12. link 

132. Park MA, Zaha VG, Badawi RD, Bowen SL. Supplemental transmission aided attenuation correction for quantitative cardiac PET. IEEE transactions on medical imaging. 2023 Nov 10;43(3):1125-37. link 

133. Huang P, Zhang C, Zhang X, Li X, Dong L, Ying L. Self-supervised deep unrolled reconstruction using regularization by denoising. IEEE transactions on medical imaging. 2023 Nov 14;43(3):1203-13. link 

134. Liang Y, Tang W, Wang T, Ng WW, Chen S, Jiang K, Wei X, Jiang X, Guo Y. HRadNet: A Hierarchical Radiomics-based Network for Multicenter Breast Cancer Molecular Subtypes Prediction. IEEE Transactions on Medical Imaging. 2023 Nov 8;43(3):1225-36. link 

135. Liu J, Liu H, Fu H, Ye Y, Chen K, Lu Y, Mao J, Xu RX, Sun M. Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data. IEEE Transactions on Medical Imaging. 2023 Nov 13;43(3):1237-46. link 

136. Qiao M, Wang S, Qiu H, De Marvao A, O’Regan DP, Rueckert D, Bai W. Cheart: A conditional spatio-temporal generative model for cardiac anatomy. IEEE transactions on medical imaging. 2023 Nov 10;43(3):1259-69. link 

137. Wu H, Zhang B, Chen C, Qin J. Federated semi-supervised medical image segmentation via prototype-based pseudo-labeling and contrastive learning. IEEE Transactions on Medical Imaging. 2023 Sep 13;43(2):649-61. link 

138. Ling Y, Wang Y, Dai W, Yu J, Liang P, Kong D. Mtanet: Multi-task attention network for automatic medical image segmentation and classification. IEEE Transactions on Medical Imaging. 2023 Sep 19;43(2):674-85. link 

139. Zhang X, Sun K, Wu D, Xiong X, Liu J, Yao L, Li S, Wang Y, Feng J, Shen D. An anatomy-and topology-preserving framework for coronary artery segmentation. IEEE Transactions on Medical Imaging. 2023 Sep 27;43(2):723-33. link 

140. Gao Q, Li Z, Zhang J, Zhang Y, Shan H. CoreDiff: Contextual error-modulated generalized diffusion model for low-dose CT denoising and generalization. IEEE Transactions on Medical Imaging. 2023 Sep 29;43(2):745-59. link 

141. Zhong L, Chen Z, Shu H, Zheng K, Li Y, Chen W, Wu Y, Ma J, Feng Q, Yang W. Multi-scale tokens-aware transformer network for multi-region and multi-sequence MR-to-CT synthesis in a single model. IEEE transactions on medical imaging. 2023 Oct 2;43(2):794-806. link 

142. Ji W, Chung AC. Unsupervised domain adaptation for medical image segmentation using transformer with meta attention. IEEE Transactions on Medical Imaging. 2023 Oct 6;43(2):820-31. link 

143. Huang X, Gong H. A dual-attention learning network with word and sentence embedding for medical visual question answering. IEEE Transactions on Medical Imaging. 2023 Oct 9;43(2):832-45. link 

144. Spieker V, Eichhorn H, Hammernik K, Rueckert D, Preibisch C, Karampinos DC, Schnabel JA. Deep learning for retrospective motion correction in MRI: a comprehensive review. IEEE Transactions on Medical Imaging. 2023 Oct 13;43(2):846-59. link 

145. Xie Q, Li Y, He N, Ning M, Ma K, Wang G, Lian Y, Zheng Y. Unsupervised domain adaptation for medical image segmentation by disentanglement learning and self-training. IEEE Transactions on Medical Imaging. 2022 Jul 19;43(1):4-14. link 

146. Chen Z, Zheng Y, Gee JC. Transmatch: A transformer-based multilevel dual-stream feature matching network for unsupervised deformable image registration. IEEE transactions on medical imaging. 2023 Jun 21;43(1):15-27. link 

147. Fu S, Xu J, Chang S, Yang L, Ling S, Cai J, Chen J, Yuan J, Cai Y, Zhang B, Huang Z. Robust vascular segmentation for raw complex images of laser speckle contrast based on weakly supervised learning. IEEE Transactions on Medical Imaging. 2023 Jun 19;43(1):39-50. link 

148. Zhang R, Qin B, Zhao J, Zhu Y, Lv Y, Ding S. Locating X-ray coronary angiogram keyframes via long short-term spatiotemporal attention with image-to-patch contrastive learning. IEEE Transactions on Medical Imaging. 2023 Jun 16;43(1):51-63. link 

149. Zhang J, Zhang S, Shen X, Lukasiewicz T, Xu Z. Multi-ConDoS: Multimodal contrastive domain sharing generative adversarial networks for self-supervised medical image segmentation. IEEE Transactions on Medical Imaging. 2023 Jun 28;43(1):76-95. link 

150. Li Z, Li Y, Li Q, Wang P, Guo D, Lu L, Jin D, Zhang Y, Hong Q. Lvit: language meets vision transformer in medical image segmentation. IEEE transactions on medical imaging. 2023 Jul 3;43(1):96-107. link 

151. Zhang Q, Hu Y, Zhao Y, Cheng J, Fan W, Hu D, Shi F, Cao S, Zhou Y, Yang Y, Liu X. Deep generalized learning model for PET image reconstruction. IEEE Transactions on Medical Imaging. 2023 Jul 10;43(1):122-34. link 

152. Zhou L, Yu L, Wang L. RECIST-induced reliable learning: Geometry-driven label propagation for universal lesion segmentation. IEEE Transactions on Medical Imaging. 2023 Jul 12;43(1):149-61. link 

153. Lei W, Su Q, Jiang T, Gu R, Wang N, Liu X, Wang G, Zhang X, Zhang S. One-shot weakly-supervised segmentation in 3D medical images. IEEE Transactions on Medical Imaging. 2023 Jul 13;43(1):175-89. link 

154. Zhu M, Liao J, Liu J, Yuan Y. Fedoss: Federated open set recognition via inter-client discrepancy and collaboration. IEEE Transactions on Medical Imaging. 2023 Jul 10;43(1):190-202. link 

155. Pak DH, Liu M, Kim T, Liang L, Caballero A, Onofrey J, Ahn SS, Xu Y, McKay R, Sun W, Gleason R. Patient-specific heart geometry modeling for solid biomechanics using deep learning. IEEE transactions on medical imaging. 2023 Jul 11;43(1):203-15. link 

156. Park J, Chłędowski J, Jastrzębski S, Witowski J, Xu Y, Du L, Gaddam S, Kim E, Lewin A, Parikh U, Plaunova A. An efficient deep neural network to classify large 3D images with small objects. IEEE transactions on medical imaging. 2023 Aug 17;43(1):351-65. link 

157. Ahmadi N, Tsang MY, Gu AN, Tsang TS, Abolmaesumi P. Transformer-based spatio-temporal analysis for classification of aortic stenosis severity from echocardiography cine series. IEEE Transactions on Medical Imaging. 2023 Aug 15;43(1):366-76. link 

158. Acciavatti RJ, Choi CJ, Vent TL, Barufaldi B, Cohen EA, Wileyto EP, Maidment AD. Non-isocentric geometry for next-generation tomosynthesis with super-resolution. IEEE transactions on medical imaging. 2023 Aug 21;43(1):377-91. link 

159. Wang C, Chen Y, Liu F, Elliott M, Kwok CF, Pena-Solorzano C, Frazer H, McCarthy DJ, Carneiro G. An interpretable and accurate deep-learning diagnosis framework modeled with fully and semi-supervised reciprocal learning. IEEE transactions on medical imaging. 2023 Aug 21;43(1):392-404. link 

160. Wu L, Gao X, Hu Z, Zhang S. Pattern-aware transformer: Hierarchical pattern propagation in sequential medical images. IEEE Transactions on Medical Imaging. 2023 Aug 18;43(1):405-15. link 

161. Li Y, Qian G, Jiang X, Jiang Z, Wen W, Zhang S, Li K, Lao Q. Hierarchical-instance contrastive learning for minority detection on imbalanced medical datasets. IEEE Transactions on Medical Imaging. 2023 Aug 31;43(1):416-26. link 

162. Sewani A, Roa CF, Zhou JJ, Alawneh Y, Quadri A, Gilliland-Rocque R, Chérin E, Dueck A, Demore C, Wright G, Tavallaei MA. The CathEye: A forward-looking ultrasound catheter for image-guided cardiovascular procedures. IEEE Transactions on Medical Imaging. 2023 Aug 29;43(1):449-58. link 

163. Wang H, Xie Q, Zeng D, Ma J, Meng D, Zheng Y. Oscnet: Orientation-shared convolutional network for ct metal artifact learning. IEEE Transactions on Medical Imaging. 2023 Sep 1;43(1):489-502. link 

164. Nguyen HH, Blaschko MB, Saarakkala S, Tiulpin A. Clinically-inspired multi-agent transformers for disease trajectory forecasting from multimodal data. IEEE transactions on medical imaging. 2023 Sep 6;43(1):529-41. link 

165. Jin L, Gu S, Wei D, Adhinarta JK, Kuang K, Zhang YJ, Pfister H, Ni B, Yang J, Li M. Ribseg v2: A large-scale benchmark for rib labeling and anatomical centerline extraction. IEEE Transactions on Medical Imaging. 2023 Sep 11;43(1):570-81. link 

166. Li W, Liu GH, Fan H, Li Z, Zhang D. Self-supervised multi-scale cropping and simple masked attentive predicting for lung CT-scan anomaly detection. IEEE Transactions on Medical Imaging. 2023 Sep 11;43(1):594-607. link 

167. Khan MO, Seresti AA, Menon K, Marsden AL, Nieman K. Quantification and Visualization of CT Myocardial Perfusion Imaging to Detect Ischemia-Causing Coronary Arteries. IEEE Transactions on Medical Imaging. 2024 May 15;43(11):3690-7. link 

168. Huang W, Zhang L, Wang Z, Wang L. Exploring inherent consistency for semi-supervised anatomical structure segmentation in medical imaging. IEEE Transactions on Medical Imaging. 2024 May 14;43(11):3731-41. link 

169. Zhao Z, Wang S, Gu J, Zhu Y, Mei L, Zhuang Z, Cui Z, Wang Q, Shen D. ChatCAD+: Toward a universal and reliable interactive CAD using LLMs. IEEE Transactions on Medical Imaging. 2024 May 8;43(11):3755-66. link 

170. Bayasi N, Hamarneh G, Garbi R. Gc 2: Generalizable continual classification of medical images. IEEE Transactions on Medical Imaging. 2024 May 8;43(11):3767-79. link 

171. Fu W, Hu H, Li X, Guo R, Chen T, Qian X. A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels. IEEE Transactions on Medical Imaging. 2024 May 13;43(11):3794-806. link 

172. Lin J, Xie W, Kang L, Wu H. Dynamic-guided spatiotemporal attention for echocardiography video segmentation. IEEE Transactions on Medical Imaging. 2024 May 21;43(11):3843-55. link 

173. Chen F, Han H, Wan P, Chen L, Kong W, Liao H, Wen B, Liu C, Zhang D. Do as sonographers think: Contrast-enhanced ultrasound for thyroid nodules diagnosis via microvascular infiltrative awareness. IEEE Transactions on Medical Imaging. 2024 May 27;43(11):3881-94. link 

174. Geng H, Fan J, Yang S, Chen S, Xiao D, Ai D, Fu T, Song H, Yuan K, Duan F, Wang Y. DSC-Recon: Dual-Stage Complementary 4-D Organ Reconstruction From X-Ray Image Sequence for Intraoperative Fusion. IEEE Transactions on Medical Imaging. 2024 May 28;43(11):3909-23. link 

175. Lu Y, Xu Z, Choi MH, Kim J, Jung SW. Cross-domain denoising for low-dose multi-frame spiral computed tomography. IEEE Transactions on Medical Imaging. 2024 May 24;43(11):3949-63. link 

176. Ding S, Li J, Wang J, Ying S, Shi J. Multimodal co-attention fusion network with online data augmentation for cancer subtype classification. IEEE Transactions on Medical Imaging. 2024 May 27;43(11):3977-89. link 

177. Wu Q, Chen Y, Liu W, Yue X, Zhuang X. Deep closing: Enhancing topological connectivity in medical tubular segmentation. IEEE Transactions on Medical Imaging. 2024 May 27;43(11):3990-4003. link 

178. Yang Y, Yu J, Fu Z, Zhang K, Yu T, Wang X, Jiang H, Lv J, Huang Q, Han W. Token-mixer: Bind image and text in one embedding space for medical image reporting. IEEE Transactions on Medical Imaging. 2024 Jun 11;43(11):4017-28. link 

179. Zhang Y, Li H, Gao Y, Duan H, Huang Y, Zheng Y. Prototype correlation matching and class-relation reasoning for few-shot medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Jun 11;43(11):4041-54. link 

180. Li Z, Chang D, Zhang Z, Luo F, Liu Q, Zhang J, Yang G, Wu W. Dual-domain collaborative diffusion sampling for multi-source stationary computed tomography reconstruction. IEEE Transactions on Medical Imaging. 2024 Jun 28;43(10):3398-411. link 

181. Xu K, Lu S, Huang B, Wu W, Liu Q. Stage-by-stage wavelet optimization refinement diffusion model for sparse-view CT reconstruction. IEEE Transactions on Medical Imaging. 2024 Jan 18;43(10):3412-24. link 

182. Liu Y, Zhou X, Wei C, Xu Q. Sparse-view spectral CT reconstruction and material decomposition based on multi-channel SGM. IEEE Transactions on Medical Imaging. 2024 Jun 12;43(10):3425-35. link 

183. Zhang J, Mao H, Wang X, Guo Y, Wu W. Wavelet-inspired multi-channel score-based model for limited-angle CT reconstruction. IEEE Transactions on Medical Imaging. 2024 Feb 19;43(10):3436-48. link 

184. Wang Y, Li Z, Wu W. Time-reversion fast-sampling score-based model for limited-angle CT reconstruction. IEEE Transactions on Medical Imaging. 2024 Jun 24;43(10):3449-60. link

185. Wu W, Pan J, Wang Y, Wang S, Zhang J. Multi-channel optimization generative model for stable ultra-sparse-view CT reconstruction. IEEE Transactions on Medical Imaging. 2024 Mar 11;43(10):3461-75. link 

186. Karageorgos GM, Zhang J, Peters N, Xia W, Niu C, Paganetti H, Wang G, De Man B. A denoising diffusion probabilistic model for metal artifact reduction in CT. IEEE Transactions on Medical Imaging. 2024 Jul 4;43(10):3521-32. link 

187. Shi Y, Xia W, Wang G, Mou X. Blind ct image quality assessment using ddpm-derived content and transformer-based evaluator. IEEE Transactions on Medical Imaging. 2024 Jun 24;43(10):3559-69. link 

188. Chen T, Wang C, Chen Z, Lei Y, Shan H. HiDiff: Hybrid diffusion framework for medical image segmentation. IEEE Transactions on Medical Imaging. 2024 Jul 8. link 

189. Wang K, Chen Z, Zhu M, Li Z, Weng J, Gu T. Score-based counterfactual generation for interpretable medical image classification and lesion localization. IEEE transactions on medical imaging. 2024 Mar 14;43(10):3596-607. link 

190. Deshpande R, Özbey M, Li H, Anastasio MA, Brooks FJ. Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context. IEEE transactions on medical imaging. 2024 Jun 14;43(10):3608-20. link 

191. Zhang Y, Li C, Zhong L, Chen Z, Yang W, Wang X. DoseDiff: distance-aware diffusion model for dose prediction in radiotherapy. IEEE Transactions on Medical Imaging. 2024 Apr 2;43(10):3621-33. link 

192. Xu Y, Sun L, Peng W, Jia S, Morrison K, Perer A, Zandifar A, Visweswaran S, Eslami M, Batmanghelich K. MedSyn: text-guided anatomy-aware synthesis of high-fidelity 3-D CT images. IEEE Transactions on Medical Imaging. 2024 Jun 20;43(10):3648-60. link 

193. Yin Y, Clark AR, Collins SL. 3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound. IEEE Transactions on Medical Imaging. 2024 Mar 13;43(7):2707-17. link 

194. Jang SI, Pan T, Li Y, Heidari P, Chen J, Li Q, Gong K. Spach Transformer: Spatial and channel-wise transformer based on local and global self-attentions for PET image denoising. IEEE transactions on medical imaging. 2023 Nov 23;43(6):2036-49. link 

195. Penso C, Frenkel L, Goldberger J. Confidence calibration of a medical imaging classification system that is robust to label noise. IEEE Transactions on Medical Imaging. 2024 Jan 15;43(6):2050-60. link 

196. Zhou C, Wang J, Xiang S, Liu F, Huang H, Qian D. A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images. IEEE Transactions on Medical Imaging. 2024 Jan 15;43(6):2086-97. link 

197. Yang B, Gong K, Liu H, Li Q, Zhu W. Anatomically guided pet image reconstruction using conditional weakly-supervised multi-task learning integrating self-attention. IEEE Transactions on Medical Imaging. 2024 Jan 19;43(6):2098-112. link 

198. Wang P, Zhang H, Zhu M, Jiang X, Qin J, Yuan Y. MGIML: Cancer grading with incomplete radiology-pathology data via memory learning and gradient homogenization. IEEE Transactions on Medical Imaging. 2024 Jan 17;43(6):2113-24. link 

199. Wang H, He J, Cui H, Yuan B, Xia Y. Robust stochastic neural ensemble learning with noisy labels for thoracic disease classification. IEEE Transactions on Medical Imaging. 2024 Jan 24;43(6):2180-90. link 

200. Cheng Z, Wang S, Xin T, Zhou T, Zhang H, Shao L. Few-shot medical image segmentation via generating multiple representative descriptors. IEEE Transactions on Medical Imaging. 2024 Jan 24;43(6):2202-14. link 

201. Zhang Z, Yu C, Zhang H, Gao Z. Embedding tasks into the latent space: Cross-space consistency for multi-dimensional analysis in echocardiography. IEEE Transactions on Medical Imaging. 2024 Feb 8;43(6):2215-28. link 

202. Guo Z, Tan Z, Feng J, Zhou J. 3D vascular segmentation supervised by 2D annotation of maximum intensity projection. IEEE Transactions on Medical Imaging. 2024 Feb 6;43(6):2241-53. link 

203. Li K, Zhu Y, Yu L, Heng PA. A dual enrichment synergistic strategy to handle data heterogeneity for domain incremental cardiac segmentation. IEEE Transactions on Medical Imaging. 2024 Feb 12;43(6):2279-90. link 

204. Zhou Q, Yu B, Xiao F, Ding M, Wang Z, Zhang X. Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning. IEEE Transactions on Medical Imaging. 2024 Feb 6;43(6):2317-31. link 

205. Ren Z, Sidky EY, Barber RF, Kao CM, Pan X. Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization. IEEE Transactions on Medical Imaging. 2024 Feb 14;43(6):2347-57. link 

206. Onishi Y, Hashimoto F, Ote K, Ota R. Whole reconstruction-free system design for direct positron emission imaging from image generation to attenuation correction. IEEE Transactions on Medical Imaging. 2023 Dec 18;43(5):1654-63. link 

207. Li X, Jing K, Yang Y, Wang Y, Ma J, Zheng H, Xu Z. Noise-generating and imaging mechanism inspired implicit regularization learning network for low dose ct reconstrution. IEEE Transactions on Medical Imaging. 2023 Dec 25;43(5):1677-89. link 

208. He A, Li T, Yan J, Wang K, Fu H. Bilateral supervision network for semi-supervised medical image segmentation. IEEE Transactions on Medical Imaging. 2023 Dec 28;43(5):1715-26. link 

209. Zhu J, Wang C, Zhang Y, Zhan M, Zhao W, Teng S, Lu L, Teng GJ. 3D/2D vessel registration based on Monte Carlo tree search and manifold regularization. IEEE Transactions on Medical Imaging. 2023 Dec 28;43(5):1727-39. link 

210. Chen Y, Guo X, Xia Y, Yuan Y. Disentangle then calibrate with gradient guidance: A unified framework for common and rare disease diagnosis. IEEE Transactions on Medical Imaging. 2024 Jan 2;43(5):1816-27. link 

211. Li Z, Gao Q, Wu Y, Niu C, Zhang J, Wang M, Wang G, Shan H. Quad-Net: Quad-domain network for CT metal artifact reduction. IEEE Transactions on Medical Imaging. 2024 Jan 9;43(5):1866-79. link 

212. Chen Z, Niu C, Gao Q, Wang G, Shan H. LIT-Former: Linking in-plane and through-plane transformers for simultaneous CT image denoising and deblurring. IEEE Transactions on Medical Imaging. 2024 Jan 9;43(5):1880-94. link 

213. Chen Q, Zhang J, Meng R, Zhou L, Li Z, Feng Q, Shen D. Modality-specific information disentanglement from multi-parametric MRI for breast tumor segmentation and computer-aided diagnosis. IEEE Transactions on Medical Imaging. 2024 Jan 11;43(5):1958-71. link 

214. Chai Z, Luo L, Lin H, Heng PA, Chen H. Deep omni-supervised learning for rib fracture detection from chest radiology images. IEEE Transactions on Medical Imaging. 2024 Jan 12;43(5):1972-82. link 

215. Liu H, Xu Z, Gao R, Li H, Wang J, Chabin G, Oguz I, Grbic S. Cosst: Multi-organ segmentation with partially labeled datasets using comprehensive supervisions and self-training. IEEE Transactions on Medical Imaging. 2024 Jan 15;43(5):1995-2009. link 

216. Ta K, Ahn SS, Thorn SL, Stendahl JC, Zhang X, Langdon J, Staib LH, Sinusas AJ, Duncan JS. Multi-task learning for motion analysis and segmentation in 3D echocardiography. IEEE Transactions on Medical Imaging. 2024 Jan 17;43(5):2010-20. link  

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1. Tan D, Hao R, Zhou X, Xia J, Su Y, Zheng C. A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 2024 May 29. link 

2. Chen H, Wang X, Li H, Wang L. 3D vessel segmentation with limited guidance of 2D structure-agnostic vessel annotations. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 4. link 

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5. Wang L, Wang L, Kuai Z, Tang L, Ou Y, Wu M, Shi T, Ye C, Zhu Y. Progressive dual priori network for generalized breast tumor segmentation. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 6. link 

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9. Tseng CH, Chien SJ, Wang PS, Lee SJ, Pu B, Zeng XJ. Real-time automatic m-mode echocardiography measurement with panel attention. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 12. link 

10. Gravina M, Maddaluno M, Marrone S, Sansone M, Fusco R, Granata V, Petrillo A, Sansone C. A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets. IEEE Journal of Biomedical and Health Informatics. 2024 Aug 14. link 

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20. Wang D, Han S, Xu Y, Wu Z, Zhou L, Morovati B, Yu H. LoMAE: simple streamlined low-level masked autoencoders for robust, generalized, and interpretable low-dose CT denoising. IEEE Journal of Biomedical and Health Informatics. 2024 Sep 5. link

21. Huang J, Li X, Tan H, Cheng X. Generative adversarial network for trimodal medical image fusion using primitive relationship reasoning. IEEE Journal of Biomedical and Health Informatics. 2024 Aug 2. link 

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29. Han B, Wang H, Qiao D, Xu J, Yan T. Application of zero-watermarking scheme based on swin transformer for securing the metaverse healthcare data. IEEE Journal of Biomedical and Health Informatics. 2023 Mar 15. link 

30. Bai X, Chen G, Ma B, Li C, Zhang J, Xia Y. Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 21. link 

31. Qiu W, Feng Y, Li Y, Chang Y, Qian K, Hu B, Yamamoto Y, Schuller BW. Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 16. link 

32. Lin WH, Zheng D, Li G, Chen F. Age-related changes in blood volume pulse wave at fingers and ears. IEEE Journal of Biomedical and Health Informatics. 2023 Jun 5. link 

33. Li H, Ditzler G, Roveda J, Li A. Descod-ecg: Deep score-based diffusion model for ecg baseline wander and noise removal. IEEE Journal of Biomedical and Health Informatics. 2023 Jan 17. link 

34. Pacheco AG, Cabello FA, Rodrigues PG, Miraldo DC, Fioravanti VB, Lima RG, Pinto PR, Fonoff AM, Penatti OA. Learning to estimate heart rate from accelerometer and user's demographics during physical exercises. IEEE Journal of Biomedical and Health Informatics. 2023 Mar 2. link 

35. Jiang M, Bian F, Zhang J, Pu Z, Li H, Zhang Y, Chu Y, Fan Y, Jiang J. An Automatic Coronary Microvascular Dysfunction Classification Method Based on Hybrid ECG Features and Expert Features. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 26. link 

36. Wu YC, Lin CH, Chiu LW, Wu BF, Chung ML, Tang SC, Sun Y. Contact-Free Atrial Fibrillation Screening with Attention Network. IEEE Journal of Biomedical and Health Informatics. 2024 Feb 27. link 

37. Song Z, Qiu D, Zhao X, Liu R, Hui Y, Jiang H. Parallel alternating iterative optimization for cardiac magnetic resonance image blind super-resolution. IEEE Journal of Biomedical and Health Informatics. 2024 Jan 24;28(9):5136-46. link 

38. Aublin PG, Felblinger J, Oster J. A Generalisable Heartbeat Classifier Leveraging Self-Supervised Learning for ECG Analysis During Magnetic Resonance Imaging. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 10. link 

39. Ben-Moshe N, Tsutsui K, Biton S, Zvuloni E, Sörnmo L, Behar JA. RawECGNet: Deep learning generalization for atrial fibrillation detection from the raw ECG. IEEE Journal of Biomedical and Health Informatics. 2024 May 24. link 

40. Li Y, Tan R, Lin T, Liu Q, Wang CD, Chen M. ER-GET: Emotion Recognition Based on Global ECG Trajectory. IEEE Journal of Biomedical and Health Informatics. 2024 May 30. link 

41. Kim S, Lim J, Jang J. SeqAFNet: A Beat-Wise Sequential Neural Network for Atrial Fibrillation Classification in Adhesive Patch-Type Electrocardiographs. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 7. link 

42. Huang Z, Li W, Wu Y, Yang L, Dong Y, Yang Y, Zheng H, Liang D, Wang M, Hu Z. Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. IEEE Journal of Biomedical and Health Informatics. 2024 May 30. link 

43. Mondol RK, Millar EK, Sowmya A, Meijering E. BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 24. link 

44. Tsiknakis N, Manikis G, Tzoras E, Salgkamis D, Vidal JM, Wang K, Zaridis D, Sifakis E, Zerdes I, Bergh J, Hartman J. Unveiling the power of model-agnostic multiscale analysis for enhancing artificial intelligence models in breast cancer histopathology images. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 12. link 

45. Zhang Y, Chung AC. Retinal Vessel Segmentation by A Transformer-U-Net Hybrid Model with Dual-Path Decoder. IEEE Journal of Biomedical and Health Informatics. 2024 Apr 26. link 

46.   Xu L, Tang Q, Zheng B, Lv J, Li W, Zeng X. CGFTrans: cross-modal global feature fusion transformer for medical report generation. IEEE Journal of Biomedical and Health Informatics. 2024 Jun 14. link 

47. Zou X, He X, Zheng X, Zhang W, Chen J, Tang C. DAI-Net: Dual adaptive interaction network for coordinated medication recommendation. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 30. link 

48. Santelices IB, LandryMember C, AramiMember A, Peterson SD. Employing deep reinforcement learning to maximize lower limb blood flow using intermittent pneumatic compression. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 5. link 

49. Park S, Lee IJ, Kim JW, Ye JC. MS-DINO: Masked self-supervised distributed learning using vision transformer. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 5. link 

50. Yan L, Guan Y, Wang H, Lin Y, Yang Y, Wang B, Jiang J. Eirad: An evidence-based dialogue system with highly interpretable reasoning path for automatic diagnosis. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 11. link 

51. Pang C, Lu X, Liu X, Zhang R, Lyu L. IIAM: Intra and inter attention with mutual consistency learning network for medical image segmentation. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 10. link 

52. Gu Y, Wu Q, Tang H, Mai X, Shu H, Li B, Chen Y. Lesam: Adapt segment anything model for medical lesion segmentation. IEEE Journal of Biomedical and Health Informatics. 2024 May 29. link 

53. Han T, Ai D, Fan J, Song H, Xiao D, Wang Y, Yang J. Cross-Anatomy Transfer Learning via Shape-Aware Adaptive Fine-Tuning for 3D Vessel Segmentation. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 2. link 

54. Lu Y, Tan G, Pu B, Wang H, Liang B, Li K, Rajapakse JC. SKGC: A General Semantic-level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 10. link 

55. Xia T, Dang T, Han J, Qendro L, Mascolo C. Uncertainty-aware health diagnostics via class-balanced evidential deep learning. IEEE Journal of Biomedical and Health Informatics. 2024 Feb 6;28(11):6417-28. link 

56. Yue G, Wei P, Zhou T, Song Y, Zhao C, Wang T, Lei B. Specificity-aware federated learning with dynamic feature fusion network for imbalanced medical image classification. IEEE Journal of Biomedical and Health Informatics. 2023 Sep 26. link 

57. Sajid M, Hassan A, Khan DA, Khan SA, Bakhshi AD, Akram MU, Babar M, Hussain F, Abdul W. AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease using Novel Non-invasive Biomarkers. IEEE Journal of Biomedical and Health Informatics. 2024 Sep 3. link 

58. Wu F, Langer P, Shim J, Fleisch E, Barata F. Comparative efficacy of commercial wearables for circadian rhythm home monitoring from activity, heart rate, and core body temperature. IEEE Journal of Biomedical and Health Informatics. 2024 Sep 30. link 

59. Iqbal S, Qureshi AN, Alhussein M, Aurangzeb K, Anwar MS. AD-CAM: Enhancing interpretability of convolutional neural networks with a lightweight framework-from black box to glass box. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 1;28(1):514-25. link 

60. Blinov P, Kokh V. Medical Profile Model: Scientific and Practical Applications in Healthcare. IEEE Journal of Biomedical and Health Informatics. 2023 Oct 2;28(1):450-8. link 

61. Miao D, Li J, Dou M, Fu L, Yao Y, Wang X, Wen F, Shen Y. A swintransformer-based segmentation framework with self-supervised strategy for post-operative prostate cancer radiotherapy. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 1;28(1):403-14. link 

62. Zhang M, Gu Y. Towards connectivity-aware pulmonary airway segmentation. IEEE Journal of Biomedical and Health Informatics. 2023 Oct 12;28(1):321-32. link 

63. Lyu F, Ye M, Yip TC, Wong GL, Yuen PC. Local style transfer via latent space manipulation for cross-disease lesion segmentation. IEEE Journal of Biomedical and Health Informatics. 2023 Oct 26;28(1):273-84. link 

64. Zhao X, Qi Z, Wang S, Wang Q, Wu X, Mao Y, Zhang L. Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation. IEEE Journal of Biomedical and Health Informatics. 2023 Oct 6;28(1):251-61. link 

65. Zhang H, Liu W, Chang S, Wang H, He J, Huang Q. ST-ReGE: A novel spatial-temporal residual graph convolutional network for CVD. IEEE Journal of Biomedical and Health Informatics. 2023 Oct 23;28(1):216-27. link 

66. Fan Y, Gong H. An improved COVID-19 classification model on chest radiography by dual-ended multiple attention learning. IEEE Journal of Biomedical and Health Informatics. 2023 Oct 13;28(1):145-56. link 

67. Lin X, Wang M, Li F, Xu Z, Chen J, Chen X, Yuan C, Wu S, Luo Y, Shen J, Feng ST. Improving tumor classification by reusing self-predicted segmentation of medical images as guiding knowledge. IEEE Journal of Biomedical and Health Informatics. 2023 Jul 6;28(1):122-33. link 

68. Liu L, Wang Y, Zhang P, Qiao H, Sun T, Zhang H, Xu X, Shang H. Collaborative transfer network for multi-classification of breast cancer histopathological images. IEEE Journal of Biomedical and Health Informatics. 2023 Jun 9;28(1):110-21. link 

69. Li W, Lam S, Wang Y, Liu C, Li T, Kleesiek J, Cheung AL, Sun Y, Lee FK, Au KH, Lee VH. Model generalizability investigation for GFCE-MRI synthesis in NPC radiotherapy using multi-institutional patient-based data normalization. IEEE journal of biomedical and health informatics. 2023 Aug 25;28(1):100-9. link 

70. Zhao S, Li W, Liu Z, Pang T, Yang Y, Qiang N, Zhao J, Li B, Lei B, Han J. End-to-end prediction of EGFR mutation status with denseformer. IEEE Journal of Biomedical and Health Informatics. 2023 Aug 21;28(1):54-65. link 

71. Song F, Tian J, Zhang P, Ma C, Sun Y, Feng Y, Zhang T, Lei Y, He Y, Cai Z, Cheng Y. A Novel Feature Engineering Method based on latent representation learning for Radiomics: application in NSCLC Subtype classification. IEEE Journal of Biomedical and Health Informatics. 2023 Jun 27;28(1):31-41. link 

72. Zhao Z, Li W, Liu P, Zhang A, Sun J, Xu LX. Survival analysis for multimode ablation using self-adapted deep learning network based on multisource features. IEEE Journal of Biomedical and Health Informatics. 2023 Mar 31;28(1):19-30. link 

73. Yan R, Lv Z, Yang Z, Lin S, Zheng C, Zhang F. Sparse and hierarchical Transformer for survival analysis on whole slide images. IEEE Journal of Biomedical and Health Informatics. 2023 Aug 22;28(1):7-18. link 

74. Wang C, Kumar TS, De Raedt W, Camps G, Hallez H, Vanrumste B. Eat-Radar: Continuous fine-grained intake gesture detection using FMCW radar and 3D temporal convolutional network with attention. IEEE Journal of Biomedical and Health Informatics. 2023 Dec 5;28(2):1000-11. link 

75. Jiang W, Chen K, Liang Z, Luo T, Yue G, Zhao Z, Song W, Zhao L, Wen J. HT-RCM: Hashimoto's Thyroiditis Ultrasound Image Classification Model Based on Res-FCT and Res-CAM. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 10;28(2):941-51. link 

76. Mahbub T, Obeid A, Javed S, Dias J, Hassan T, Werghi N. Center-Focused Affinity Loss for Class Imbalance Histology Image Classification. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 24;28(2):952-63. link 

77. Kobylińska K, Krzyziński M, Machowicz R, Adamek M, Biecek P. Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data. IEEE Journal of Biomedical and Health Informatics. 2024 Nov 6;28(11):6454-65. link 

78. Yang Y, Xiang T, Lv X, Li L, Lui LM, Zeng T. Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE Journal of Biomedical and Health Informatics. 2023 Dec 11;28(2):917-28. link 

79. Xinsen L, Yang K, Bingzhi C, Xiuhong C, Xinling L, Xinyao X, Jinlin C, Ming T, Pengtao L, Zheng X, Linying C. Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides. IEEE Journal of Biomedical and Health Informatics. 2023 Dec 11;28(2):905-16. link 

80. Zhang Y, Wang Y, Xu L, Yao Y, Qian W, Qi L. ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 29;28(2):893-904. link 

81. Qi X, He Y, Qi Y, Kong Y, Yang G, Li S. STANet: spatio-temporal adaptive network and clinical prior embedding learning for 3D+ T CMR segmentation. IEEE Journal of Biomedical and Health Informatics. 2023 Dec 4;28(2):881-92. link 

82. Yang F, Li X, Duan H, Xu F, Huang Y, Zhang X, Long Y, Zheng Y. Mrl-seg: Overcoming imbalance in medical image segmentation with multi-step reinforcement learning. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 30;28(2):858-69. link 

83. Zhang Y, Dong J. Maef-net: Mlp attention for feature enhancement in u-net based medical image segmentation networks. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 17;28(2):846-57. link 

84. Yan D, Li Q, Lin CW, Shieh JY, Weng WC, Tsui PH. Hybrid QUS radiomics: a multimodal-integrated quantitative ultrasound radiomics for assessing ambulatory function in duchenne muscular dystrophy. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 6;28(2):835-45. link 

85. Soltanieh S, Hashemi J, Etemad A. In-distribution and out-of-distribution self-supervised ecg representation learning for arrhythmia detection. IEEE Journal of Biomedical and Health Informatics. 2023 Nov 10;28(2):789-800. link 

86. Chen S, Ren S, Wang G, Huang M, Xue C. Interpretable CNN-multilevel attention transformer for rapid recognition of pneumonia from chest X-ray images. IEEE Journal of Biomedical and Health Informatics. 2023 Feb 22;28(2):753-64. link 

87. Liu Q, Tian Y, Zhou T, Lyu K, Wang Z, Zheng Y, Liu Y, Ren J, Li J. An explainable and personalized cognitive reasoning model based on knowledge graph: Toward decision making for general practice. IEEE journal of biomedical and health informatics. 2023 Sep 5;28(2):707-18. link 

88. Gupta R, Goldstone L, Eisen S, Ramachandram D, Cassata A, Fraser RD, Ramirez-GarciaLuna JL, Bartlett R, Allport J. Towards an AI-based objective prognostic model for quantifying wound healing. IEEE Journal of Biomedical and Health Informatics. 2023 Mar 3;28(2):666-77. link 

IEEE Transactions on Pattern Recognition and Machine Intelligence

• 1. Pan C, Peng J, Bu X, Zhang Z. Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024 Jul 1. link 

  2. Saadatmand H, Akbarzadeh-T MR. Many-Objective Jaccard-based Evolutionary Feature Selection for High-Dimensional Imbalanced Data Classification. IEEE Transactions on Pattern Analysis & Machine Intelligence. 2024 Jun 1(01):1-6. link 

  3. Yang Z, Xu Q, Bao S, Cao X, Huang Q. Learning with multiclass AUC: Theory and algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 Jul 30;44(11):7747-63. link 

  4. Dong Q, Gong S, Zhu X. Imbalanced deep learning by minority class incremental rectification. IEEE transactions on pattern analysis and machine intelligence. 2018 May 3;41(6):1367-81. link 

  5. Hou R, Chang H, Ma B, Shan S, Chen X. Dual compensation residual networks for class imbalanced learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023 May 12;45(10):11733-52. link 

  6. Tan J, Li B, Lu X, Yao Y, Yu F, He T, Ouyang W. The equalization losses: Gradient-driven training for long-tailed object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023 Jul 24. link 

  7. Wang X, Jing L, Lyu Y, Guo M, Wang J, Liu H, Yu J, Zeng T. Deep generative mixture model for robust imbalance classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022 Jun 1;45(3):2897-912. link 

  8. Du C, Wang Y, Song S, Huang G. Probabilistic contrastive learning for long-tailed visual recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024 Feb 23. link 

  9. Cui J, Liu S, Tian Z, Zhong Z, Jia J. Reslt: Residual learning for long-tailed recognition. IEEE transactions on pattern analysis and machine intelligence. 2022 May 13;45(3):3695-706. link 

  10. Fumera G, Roli F. A theoretical and experimental analysis of linear combiners for multiple classifier systems. IEEE transactions on pattern analysis and machine intelligence. 2005 Jun;27(6):942-56. link 

  11. Jing XY, Zhang X, Zhu X, Wu F, You X, Gao Y, Shan S, Yang JY. Multiset feature learning for highly imbalanced data classification. IEEE transactions on pattern analysis and machine intelligence. 2019 Jul 17;43(1):139-56. link 

  12. Xue JH, Hall P. Why does rebalancing class-unbalanced data improve AUC for linear discriminant analysis?. IEEE transactions on pattern analysis and machine intelligence. 2014 Sep 22;37(5):1109-12. link 

  13. Huang C, Li Y, Loy CC, Tang X. Deep imbalanced learning for face recognition and attribute prediction. IEEE transactions on pattern analysis and machine intelligence. 2019 May 7;42(11):2781-94. link 

  14. Yang Z, Xu Q, Bao S, Wen P, He Y, Cao X, Huang Q. Auc-oriented domain adaptation: from theory to algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023 Aug 10. link 

  15. Liu Z, Miao Z, Zhan X, Wang J, Gong B, Stella XY. Open long-tailed recognition in a dynamic world. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022 Aug 19;46(3):1836-51. link 

  16. Li M, Cheung YM, Hu Z. Key point sensitive loss for long-tailed visual recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022 Aug 3;45(4):4812-25. link 

  17. Oksuz K, Cam BC, Kalkan S, Akbas E. Imbalance problems in object detection: A review. IEEE transactions on pattern analysis and machine intelligence. 2020 Mar 19;43(10):3388-415. link 

  18. Ross TY, Dollár GK. Focal loss for dense object detection. Inproceedings of the IEEE conference on computer vision and pattern recognition 2017 Jul (pp. 2980-2988). link 

IEEE Transactions on Neural Networks and Learning Systems

1. Borisov V, Leemann T, Seßler K, Haug J, Pawelczyk M, Kasneci G. Deep neural networks and tabular data: A survey. IEEE transactions on neural networks and learning systems. 2022 Dec 23;35(6):7499-519. link 

2. Dentamaro V, Giglio P, Impedovo D, Pirlo G, Di Ciano M. An interpretable adaptive multiscale attention deep neural network for tabular data. IEEE Transactions on Neural Networks and Learning Systems. 2024 May 15;36(4):6995-7009. link 

3. Hanriot VM, Torres LC, Braga AP. Multiclass graph-based large margin classifiers: Unified approach for support vectors and neural networks. IEEE Transactions on Neural Networks and Learning Systems. 2024 Jul 31. link 

4. Li F, Zuo Y, Lin H, Wu J. Boostxml: gradient boosting for extreme multilabel text classification with tail labels. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 26;35(11):15292-305. link 

5. He G, Wang Z, Tang L, Yu W, Nie F, Li X. Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework. IEEE Transactions on Neural Networks and Learning Systems. 2024 Dec 23. link 

6. Zhang Z, Jung C. GBDT-MO: Gradient-boosted decision trees for multiple outputs. IEEE transactions on neural networks and learning systems. 2020 Aug 4;32(7):3156-67. link 

7. Naunheim S, Kuhl Y, Schug D, Schulz V, Mueller F. Improving the timing resolution of positron emission tomography detectors using boosted learning—a residual physics approach. IEEE transactions on neural networks and learning systems. 2023 Oct 20. link 

8. Li Y, Wang S, Tian Q, Ding X. A boosting approach to exploit instance correlations for multi-instance classification. IEEE transactions on neural networks and learning systems. 2015 Nov 20;27(12):2740-7. link 

9. Jiang S, Mao H, Ding Z, Fu Y. Deep decision tree transfer boosting. IEEE transactions on neural networks and learning systems. 2019 Mar 26;31(2):383-95. link 

10. Paisitkriangkrai S, Shen C, van den Hengel A. A scalable stagewise approach to large-margin multiclass loss-based boosting. IEEE transactions on neural networks and learning systems. 2013 Oct 21;25(5):1002-13. link 

11. Hong Q, Lin L, Li Z, Li Q, Yao J, Wu Q, Liu K, Tian J. A distance transformation deep forest framework with hybrid-feature fusion for cxr image classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 7;35(10):14633-44. link 

12. Liu TJ, Liu KH, Lin JY, Lin W, Kuo CC. A paraboost method to image quality assessment. IEEE transactions on neural networks and learning systems. 2015 Dec 17;28(1):107-21. link 

13. Fernando KR, Tsokos CP. Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks. IEEE Transactions on Neural Networks and Learning Systems. 2021 Jan 14;33(7):2940-51. link 

14. Chen Z, Duan J, Kang L, Qiu G. Class-imbalanced deep learning via a class-balanced ensemble. IEEE transactions on neural networks and learning systems. 2021 Apr 26;33(10):5626-40. link 

15. Ji Z, Jiao Z, Wang Q, Pang Y, Han J. Imbalance mitigation for continual learning via knowledge decoupling and dual enhanced contrastive learning. IEEE Transactions on Neural Networks and Learning Systems. 2024 Jan 8. link 

16. Sun L, Li C, Ren Y, Zhang Y. A multitask dynamic graph attention autoencoder for imbalanced multilabel time series classification. IEEE Transactions on Neural Networks and Learning Systems. 2024 Feb 29;35(9):11829-42. link 

17. Sun L, Li C, Ren Y, Zhang Y. A multitask dynamic graph attention autoencoder for imbalanced multilabel time series classification. IEEE Transactions on Neural Networks and Learning Systems. 2024 Feb 29;35(9):11829-42. link 

18. Du Z, Zhang H, Wei Z, Zhu Y, Xu J, Huang X, Yin B. Merge loss calculation method for highly imbalanced data multiclass classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Oct 11. link 

19. Choi HS, Jung D, Kim S, Yoon S. Imbalanced data classification via cooperative interaction between classifier and generator. IEEE Transactions on Neural Networks and Learning Systems. 2021 Feb 2;33(8):3343-56. link 

20. Xia S, Zheng S, Wang G, Gao X, Wang B. Granular ball sampling for noisy label classification or imbalanced classification. IEEE Transactions on Neural Networks and Learning Systems. 2021 Aug 30;34(4):2144-55. link 

21. Wang J, Zhou ZH. Margin distribution analysis. IEEE Transactions on Neural Networks and Learning Systems. 2021 Feb 22;33(8):3948-60. link 

22. Xu Y, Yu Z, Chen CP, Liu Z. Adaptive subspace optimization ensemble method for high-dimensional imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2021 Sep 1;34(5):2284-97. link 

23. Mao Y, Hao Y, Liu W, Lin X, Cao X. Class-imbalanced-aware distantly supervised named entity recognition. IEEE Transactions on Neural Networks and Learning Systems. 2023 Apr 26;35(9):12117-29. link 

24. Zhang C, Tan KC, Li H, Hong GS. A cost-sensitive deep belief network for imbalanced classification. IEEE transactions on neural networks and learning systems. 2018 May 28;30(1):109-22. link 

25. ao Huang Z, Sang Y, Sun Y, Lv J. Neural network with a preference sampling paradigm for imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jan 11;35(7):9252-66. link 

26. Huang C, Loy CC, Tang X. Discriminative sparse neighbor approximation for imbalanced learning. IEEE transactions on neural networks and learning systems. 2017 Mar 10;29(5):1503-13. link 

27. Lu Y, Cheung YM, Tang YY. Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift. IEEE Transactions on Neural Networks and Learning Systems. 2019 Dec 5;31(8):2764-78. link 

28. Malialis K, Panayiotou CG, Polycarpou MM. Online learning with adaptive rebalancing in nonstationary environments. IEEE Transactions on Neural Networks and Learning Systems. 2020 Sep 22;32(10):4445-59. link 

29. Dablain D, Krawczyk B, Chawla NV. DeepSMOTE: Fusing deep learning and SMOTE for imbalanced data. IEEE transactions on neural networks and learning systems. 2022 Jan 27;34(9):6390-404. link 

30. Ganaie MA, Sajid M, Malik AK, Tanveer M. Graph embedded intuitionistic fuzzy random vector functional link neural network for class imbalance learning. IEEE Transactions on Neural Networks and Learning Systems. 2024 Feb 9;35(9):11671-80. link 

31. Brzezinski D, Stefanowski J, Susmaga R, Szczech I. On the dynamics of classification measures for imbalanced and streaming data. IEEE transactions on neural networks and learning systems. 2019 Mar 18;31(8):2868-78. link 

32. Castro CL, Braga AP. Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data. IEEE transactions on neural networks and learning systems. 2013 Feb 22;24(6):888-99. link 

33. Kang Q, Shi L, Zhou M, Wang X, Wu Q, Wei Z. A distance-based weighted undersampling scheme for support vector machines and its application to imbalanced classification. IEEE transactions on neural networks and learning systems. 2017 Oct 25;29(9):4152-65. link 

34. Yang J, Wu X, Liang J, Sun X, Cheng MM, Rosin PL, Wang L. Self-paced balance learning for clinical skin disease recognition. IEEE transactions on neural networks and learning systems. 2019 Jun 12;31(8):2832-46. link 

35. Jiao B, Guo Y, Gong D, Chen Q. Dynamic ensemble selection for imbalanced data streams with concept drift. IEEE transactions on neural networks and learning systems. 2022 Jun 22;35(1):1278-91. link 

36. Du J, Zhang X, Liu P, Vong CM, Wang T. An adaptive deep metric learning loss function for class-imbalance learning via intraclass diversity and interclass distillation. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 28;35(11):15372-86. link 

37. Datta S, Das S. Multiobjective support vector machines: handling class imbalance with pareto optimality. IEEE transactions on neural networks and learning systems. 2018 Oct 1;30(5):1602-8. link 

38. Khan SH, Hayat M, Bennamoun M, Sohel FA, Togneri R. Cost-sensitive learning of deep feature representations from imbalanced data. IEEE transactions on neural networks and learning systems. 2017 Aug 17;29(8):3573-87. link 

39. Yu H, Yang X, Zheng S, Sun C. Active learning from imbalanced data: A solution of online weighted extreme learning machine. IEEE transactions on neural networks and learning systems. 2018 Aug 21;30(4):1088-103. link 

40. Fernando KR, Tsokos CP. Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks. IEEE Transactions on Neural Networks and Learning Systems. 2021 Jan 14;33(7):2940-51. link 

41. Yang K, Yu Z, Wen X, Cao W, Chen CP, Wong HS, You J. Hybrid classifier ensemble for imbalanced data. IEEE transactions on neural networks and learning systems. 2019 Jun 28;31(4):1387-400. link 

42. Ning Z, Jiang Z, Zhang D. Exploiting meta-learned confidences for imbalanced multilabel learning. IEEE Transactions on Neural Networks and Learning Systems. 2024 Nov 27. link 

43. Wang L, Zhang L, Qi X, Yi Z. Deep attention-based imbalanced image classification. IEEE transactions on neural networks and learning systems. 2021 Jan 28;33(8):3320-30. link 

44. Du J, Zhou Y, Liu P, Vong CM, Wang T. Parameter-free loss for class-imbalanced deep learning in image classification. IEEE Transactions on Neural Networks and Learning Systems. 2021 Sep 15;34(6):3234-40. link 

45. Chen M, Zhao Y, He B, Han Z, Huang J, Wu B, Yao J. Learning with noisy labels over imbalanced subpopulations. IEEE Transactions on Neural Networks and Learning Systems. 2024 May 1;36(4):6544-55. link 

46. Mathew J, Pang CK, Luo M, Leong WH. Classification of imbalanced data by oversampling in kernel space of support vector machines. IEEE transactions on neural networks and learning systems. 2017 Oct 10;29(9):4065-76. link 

47. Wang Z, Cao C, Zhu Y. Entropy and confidence-based undersampling boosting random forests for imbalanced problems. IEEE transactions on neural networks and learning systems. 2020 Jan 24;31(12):5178-91. link 

48. Pérez-Ortiz M, Gutiérrez PA, Tino P, Hervás-Martínez C. Oversampling the minority class in the feature space. IEEE transactions on neural networks and learning systems. 2015 Aug 25;27(9):1947-61. link 

49. Cheng X, Shi F, Liu X, Zhao M, Chen S. A novel deep class-imbalanced semisupervised model for wind turbine blade icing detection. IEEE Transactions on Neural Networks and Learning Systems. 2021 Aug 12;33(6):2558-70. link 

50. Hu J, Yang H, Lyu MR, King I, So AM. Online nonlinear AUC maximization for imbalanced data sets. IEEE transactions on neural networks and learning systems. 2017 Jan 27;29(4):882-95. link 

51. Carbonneau MA, Granger E, Gagnon G. Bag-level aggregation for multiple-instance active learning in instance classification problems. IEEE transactions on neural networks and learning systems. 2018 Sep 30;30(5):1441-51. link 

52. Shu T, Zhang B, Tang YY. Sparse supervised representation-based classifier for uncontrolled and imbalanced classification. IEEE transactions on neural networks and learning systems. 2018 Dec 24;31(8):2847-56. link 

53. Ortigosa-Hernandez J, Inza I, Lozano JA. Semisupervised multiclass classification problems with scarcity of labeled data: A theoretical study. IEEE transactions on neural networks and learning systems. 2015 Nov 23;27(12):2602-14. link 

54. Xu Y, Yu Z, Chen CP. Classifier ensemble based on multiview optimization for high-dimensional imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jun 3;35(1):870-83. link 

55. Roy R, Mazumdar S, Chowdhury AS. ADGAN: Attribute-driven generative adversarial network for synthesis and multiclass classification of pulmonary nodules. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jul 19;35(2):2484-95. link 

56. Li M, Su F, Wu O, Zhang J. Class-level logit perturbation. IEEE Transactions on Neural Networks and Learning Systems. 2023 May 23;35(10):13926-40. link 

57. Li Z, Ma J, Wu J, Wong PK, Wang X, Li X. A gated recurrent generative transfer learning network for fault diagnostics considering imbalanced data and variable working conditions. IEEE Transactions on Neural Networks and Learning Systems. 2024 Feb 13. link 

58. Liu W, Kang X, Duan P, Xie Z, Wei X, Li S. SOSNet: Real-Time Small Object Segmentation via Hierarchical Decoding and Example Mining. IEEE Transactions on Neural Networks and Learning Systems. 2023 Dec 13. link 

59. Ning Z, Jiang Z, Zhang D. To combat multiclass imbalanced problems by aggregating evolutionary hierarchical classifiers. IEEE Transactions on Neural Networks and Learning Systems. 2024 Apr 8;36(3):5258-72. link 

60. Cao H, Tan VY, Pang JZ. A parsimonious mixture of Gaussian trees model for oversampling in imbalanced and multimodal time-series classification. IEEE transactions on neural networks and learning systems. 2014 Mar 12;25(12):2226-39. link 

61. Xu Z, Shen D, Kou Y, Nie T. A synthetic minority oversampling technique based on Gaussian mixture model filtering for imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2022 Aug 19;35(3):3740-53. link 

62. Zhang H, Zhu L, Wang X, Yang Y. Divide and retain: a dual-phase modeling for long-tailed visual recognition. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 5;35(10):13538-49. link 

63. Wang S, Minku LL, Yao X. A systematic study of online class imbalance learning with concept drift. IEEE transactions on neural networks and learning systems. 2018 Jan 4;29(10):4802-21. link 

64. Bader-El-Den M, Teitei E, Perry T. Biased random forest for dealing with the class imbalance problem. IEEE transactions on neural networks and learning systems. 2018 Nov 20;30(7):2163-72. link 

65. Du G, Zhang J, Jiang M, Long J, Lin Y, Li S, Tan KC. Graph-based class-imbalance learning with label enhancement. IEEE transactions on neural networks and learning systems. 2021 Dec 20;34(9):6081-95. link 

66. Mullick SS, Datta S, Das S. Adaptive learning-based $ k $-nearest neighbor classifiers with resilience to class imbalance. IEEE transactions on neural networks and learning systems. 2018 Mar 27;29(11):5713-25. link 

67. Vong CM, Du J, Wong CM, Cao JW. Postboosting using extended G-mean for online sequential multiclass imbalance learning. IEEE transactions on neural networks and learning systems. 2018 May 8;29(12):6163-77. link 

68. Yilmaz SF, Kaynak EB, Koç A, Dibeklioğlu H, Kozat SS. Multi-label sentiment analysis on 100 languages with dynamic weighting for label imbalance. IEEE transactions on neural networks and learning systems. 2021 Jul 19;34(1):331-43. link 

69. Lin M, Tang K, Yao X. Dynamic sampling approach to training neural networks for multiclass imbalance classification. IEEE Transactions on Neural Networks and Learning Systems. 2013 Feb 4;24(4):647-60. link 

70. Lu Y, Cheung YM, Tang YY. Bayes imbalance impact index: A measure of class imbalanced data set for classification problem. IEEE transactions on neural networks and learning systems. 2019 Nov 1;31(9):3525-39. link 

71. Janakiraman VM, Nguyen X, Sterniak J, Assanis D. Identification of the dynamic operating envelope of HCCI engines using class imbalance learning. IEEE transactions on neural networks and learning systems. 2014 Apr 1;26(1):98-112. link 

72. Bugnon LA, Yones C, Milone DH, Stegmayer G. Deep neural architectures for highly imbalanced data in bioinformatics. IEEE Transactions on Neural Networks and Learning Systems. 2019 Jun 3;31(8):2857-67. link 

73. Kauffmann J, Esders M, Ruff L, Montavon G, Samek W, Müller KR. From clustering to cluster explanations via neural networks. IEEE transactions on neural networks and learning systems. 2022 Jul 7;35(2):1926-40. link 

74. Xu Z, Shen D, Kou Y, Nie T. A synthetic minority oversampling technique based on Gaussian mixture model filtering for imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2022 Aug 19;35(3):3740-53. link 

75. Roy R, Mazumdar S, Chowdhury AS. ADGAN: Attribute-driven generative adversarial network for synthesis and multiclass classification of pulmonary nodules. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jul 19;35(2):2484-95. link 

76. Alfasly S, Chui CK, Jiang Q, Lu J, Xu C. An effective video transformer with synchronized spatiotemporal and spatial self-attention for action recognition. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jul 20;35(2):2496-509. link 

77. Kang N, Chang H, Ma B, Shan S. A comprehensive framework for long-tailed learning via pretraining and normalization. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jul 27;35(3):3437-49. link 

78. Guastavino S, Piana M, Benvenuto F. Bad and good errors: Value-weighted skill scores in deep ensemble learning. IEEE transactions on neural networks and learning systems. 2022 Jul 1;35(2):1993-2002. link 

79. Zhang M, Wu Q, Guo J, Li Y, Gao X. Heat transfer-inspired network for image super-resolution reconstruction. IEEE Transactions on neural networks and learning systems. 2022 Jul 1;35(2):1810-20. link 

80. Jiao B, Guo Y, Gong D, Chen Q. Dynamic ensemble selection for imbalanced data streams with concept drift. IEEE transactions on neural networks and learning systems. 2022 Jun 22;35(1):1278-91. link 

81. Zhai Z, Huang H, Gu B. Kernel path for semisupervised support vector machine. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jun 22;35(2):1512-22. link 

82. Gao W, Guo Y, Ma S, Li G, Kwong S. Efficient neural network compression inspired by compressive sensing. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jul 8;35(2):1965-79. link 

83. Zhao H, Zhou JT, Ong YS. Word2pix: Word to pixel cross-attention transformer in visual grounding. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jun 24;35(2):1523-33. link 

84. Liu D, Tsang IW, Yang G. A convergence path to deep learning on noisy labels. IEEE Transactions on Neural Networks and Learning Systems. 2022 Sep 22;35(4):5170-82. link 

85. Ye S, Peng Q, Sun W, Xu J, Wang Y, You X, Cheung YM. Discriminative suprasphere embedding for fine-grained visual categorization. IEEE Transactions on Neural Networks and Learning Systems. 2022 Sep 15;35(4):5092-102. link 

86. Yang Z, Yu H, He Y, Sun W, Mao ZH, Mian A. Fully convolutional network-based self-supervised learning for semantic segmentation. IEEE Transactions on Neural Networks and Learning Systems. 2022 May 11;35(1):132-42. link 

87. Zhai P, Zhang S. Adversarial information bottleneck. IEEE Transactions on Neural Networks and Learning Systems. 2022 May 20;35(1):221-30. link 

88. Xu Y, Yu Z, Chen CP. Classifier ensemble based on multiview optimization for high-dimensional imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2022 Jun 3;35(1):870-83. link 

89. Sermesant M, Delingette H, Cochet H, Jaïs P, Ayache N. Applications of artificial intelligence in cardiovascular imaging. Nature Reviews Cardiology. 2021 Aug;18(8):600-9. link 

90. Peng S, Wang W, Chen Y, Zhong X, Hu Q. Regression-based hyperparameter learning for support vector machines. IEEE Transactions on Neural Networks and Learning Systems. 2023 Oct 17. link 

91. Du Z, Zhang H, Wei Z, Zhu Y, Xu J, Huang X, Yin B. Merge loss calculation method for highly imbalanced data multiclass classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Oct 11. link 

92. Chen J, Jiao L, Liu X, Liu F, Li L, Yang S. Multiresolution Interpretable Contourlet Graph Network for Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Sep 25. link 

93. Ma W, Chen Q, Liu F, Zhou T, Cai Z. Query-adaptive late fusion for hierarchical fine-grained video-text retrieval. IEEE Transactions on Neural Networks and Learning Systems. 2022 Oct 25;35(5):7150-61. link 

94. Wang C, Gao S, Wang P, Gao C, Pei W, Pan L, Xu Z. Label-aware distribution calibration for long-tailed classification. IEEE transactions on neural networks and learning systems. 2022 Oct 25;35(5):6963-75. link 

95. Razzak I, Bouadjenek MR, Saris RA, Ding W. Support Matrix Machine via Joint $\ell_ {2, 1} $ and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data. IEEE Transactions on Neural Networks and Learning Systems. 2023 Aug 1. link 

96. Konar D, Bhattacharyya S, Gandhi TK, Panigrahi BK, Jiang R. 3-D quantum-inspired self-supervised tensor network for volumetric segmentation of medical images. IEEE Transactions on Neural Networks and Learning Systems. 2023 Feb 6;35(8):10312-25. link 

97. Liu Z, Li M, Han C, Tang S, Guo T. STDNet: Rethinking disentanglement learning with information theory. IEEE Transactions on Neural Networks and Learning Systems. 2023 Feb 9;35(8):10407-21. link 

98. Zhu Y, Li C, Liu Y, Wang X, Tang J, Luo B, Huang Z. Tiny object tracking: A large-scale dataset and a baseline. IEEE transactions on neural networks and learning systems. 2023 Feb 2;35(8):10273-87. link 

99. Shen L, Chen C, Zou F, Jie Z, Sun J, Liu W. A unified analysis of AdaGrad with weighted aggregation and momentum acceleration. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 13;35(10):14482-90. link 

100. Wang N, Feng P, Ge Z, Zhou Y, Zhou B, Wang Z. Adversarial spatiotemporal contrastive learning for electrocardiogram signals. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 11;35(10):13845-59. link 

101. Dekel S, Keller Y, Bar-Hillel A. Deep convolutional tables: Deep learning without convolutions. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 4;35(10):13658-70. link 

102. Fang C, Cheng L, Mao Y, Zhang D, Fang Y, Li G, Qi H, Jiao L. Separating noisy samples from tail classes for long-tailed image classification with label noise. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 12;35(11):16036-48. link 

103. Zhang Z, Ren X, Xie J, Luo Y. A novel swarm exploring varying parameter recurrent neural network for solving non-convex nonlinear programming. IEEE Transactions on Neural Networks and Learning Systems. 2023 Apr 11;35(9):12642-52. link 

104. Wang D, Zhao M, Ha M, Qiao J. Convergence and stability of optimal regulation via generalized N-step value gradient learning. IEEE Transactions on Neural Networks and Learning Systems. 2023 Feb 27;35(8):10923-34. link 

105. Zhang J, Liu T, Tao D. Going deeper, generalizing better: An information-theoretic view for deep learning. IEEE Transactions on Neural Networks and Learning Systems. 2023 Aug 16. link 

106. Kong Y, Liu L, Chen H, Kacprzyk J, Tao D. Overcoming catastrophic forgetting in continual learning by exploring eigenvalues of hessian matrix. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 21. link 

107. Yan X, Mao Y, Ye Y, Yu H. Cross-modal clustering with deep correlated information bottleneck method. IEEE Transactions on Neural Networks and Learning Systems. 2023 May 23;35(10):13508-22. link 

108. Chen X, Xia W, Yang Z, Chen H, Liu Y, Zhou J, Wang Z, Chen Y, Wen B, Zhang Y. SOUL-net: A sparse and low-rank unrolling network for spectral CT image reconstruction. IEEE transactions on neural networks and learning systems. 2023 Oct 4. link 

109. Zhang J, Cui Z, Jiang C, Guo S, Gao F, Shen D. Hierarchical organ-aware total-body standard-dose PET reconstruction from low-dose PET and CT images. IEEE Transactions on Neural Networks and Learning Systems. 2023 May 9;35(10):13258-70. link 

110. Huang J, Zhang F, Wang J, Liu X, Jia J. The perturbation analysis of nonconvex low-rank matrix robust recovery. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 6;35(11):15710-23. link 

111. Long Y, Han J, Huang R, Xu H, Zhu Y, Xu C, Liang X. Fine-grained visual–text prompt-driven self-training for open-vocabulary object detection. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 28. link 

112. Du J, Zhang X, Liu P, Vong CM, Wang T. An adaptive deep metric learning loss function for class-imbalance learning via intraclass diversity and interclass distillation. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 28;35(11):15372-86. link 

113. Li F, Zuo Y, Lin H, Wu J. Boostxml: gradient boosting for extreme multilabel text classification with tail labels. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jun 26;35(11):15292-305. link 

114. Fan Q, Kang Q, Zurada JM, Huang T, Xu D. Convergence analysis of online gradient method for high-order neural networks and their sparse optimization. IEEE Transactions on Neural Networks and Learning Systems. 2023 Oct 17. link 

115. Wu G, Jiang J, Liu X. A practical contrastive learning framework for single-image super-resolution. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jul 10;35(11):15834-45. link 

116. Liang Y, Zhu L, Wang X, Yang Y. Penalizing the hard example but not too much: a strong baseline for fine-grained visual classification. IEEE Transactions on Neural Networks and Learning Systems. 2022 Nov 21;35(5):7048-59. link 

117. Jia X, Feng X, Yong H, Meng D. Weight decay with tailored Adam on scale-invariant weights for better generalization. IEEE transactions on neural networks and learning systems. 2022 Oct 25;35(5):6936-47. link 

118. Shalev Y, Painsky A, Ben-Gal I. Neural joint entropy estimation. IEEE Transactions on Neural Networks and Learning Systems. 2022 Sep 26;35(4):5488-500. link 

119. Borisov V, Leemann T, Seßler K, Haug J, Pawelczyk M, Kasneci G. Deep neural networks and tabular data: A survey. IEEE transactions on neural networks and learning systems. 2022 Dec 23;35(6):7499-519. link 

120. Zhai P, Cong H, Zhu E, Zhao G, Yu Y, Li J. MVCNet: Multiview contrastive network for unsupervised representation learning for 3-D CT lesions. IEEE Transactions on Neural Networks and Learning Systems. 2022 Sep 23;35(6):7376-90. link 

121. Nan Y, Del Ser J, Tang Z, Tang P, Xing X, Fang Y, Herrera F, Pedrycz W, Walsh S, Yang G. Fuzzy attention neural network to tackle discontinuity in airway segmentation. IEEE transactions on neural networks and learning systems. 2023 May 19;35(6):7391-404. link 

122. Li G, Hong D, Xu K, Zhong B, Su L, Han Z, Huang Q. Self supervised progressive network for high performance video object segmentation. IEEE Transactions on Neural Networks and Learning Systems. 2022 Nov 16;35(6):7671-84. link 

123. Chen L, Dai SL, Dong C. Adaptive optimal tracking control of an underactuated surface vessel using actor–critic reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems. 2022 Nov 30;35(6):7520-33. link 

124. Tian C, Jiao L, Liu F, Liu X, Yang S. Robust and Effective: A Deep Matrix Factorization Framework for Classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jan 24;35(7):9958-69. link 

125. ao Huang Z, Sang Y, Sun Y, Lv J. Neural network with a preference sampling paradigm for imbalanced data classification. IEEE Transactions on Neural Networks and Learning Systems. 2023 Jan 11;35(7):9252-66. link 

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1. Hössjer O, Díaz-Pachón DA, Zhao C, Rao JS. An Information Theoretic Approach to Prevalence Estimation and Missing Data. IEEE transactions on information theory. 2023 Oct 25;70(5):3567-82. link 

2. Huang J, Jiao Y, Liao X, Liu J, Yu Z. Deep dimension reduction for supervised representation learning. IEEE Transactions on Information Theory. 2024 Feb 29;70(5):3583-98. link 

3. Ma J, Xu J, Maleki A. Toward designing optimal sensing matrices for generalized linear inverse problems. IEEE Transactions on Information Theory. 2023 Aug 22;70(1):482-508. link 

4. Dudeja R, Sen S, Lu YM. Spectral universality in regularized linear regression with nearly deterministic sensing matrices. IEEE Transactions on Information Theory. 2024 Sep 12. link 

5. Song Y, Zou H. Minimax optimal rates with heavily imbalanced binary data. IEEE Transactions on Information Theory. 2024 Sep 12. link 

6. Mansanarez P, Poly G, Swan Y. Derivatives of entropy and the MMSE conjecture. IEEE Transactions on Information Theory. 2024 Sep 25. link 

7. Aminian G, Bu Y, Toni L, Rodrigues MR, Wornell GW. Information-theoretic characterizations of generalization error for the Gibbs algorithm. IEEE Transactions on Information Theory. 2023 Nov 2;70(1):632-55. link 

8. Kanabar M, Scarlett J. Mismatched rate-distortion theory: Ensembles, bounds, and general alphabets. IEEE Transactions on Information Theory. 2024 Jan 19;70(3):1525-39. link 

9. Adiga S, Xiao X, Tandon R, Vasić B, Bose T. Generalization bounds for neural belief propagation decoders. IEEE Transactions on Information Theory. 2024 Feb 1;70(6):4280-96. link 

10. Sharifnassab A, Salehkaleybar S, Golestani SJ. Order optimal bounds for one-shot federated learning over non-convex loss functions. IEEE Transactions on Information Theory. 2023 Dec 18;70(4):2807-30. link 

11. Tu J, Liu W, Mao X, Xu M. Distributed semi-supervised sparse statistical inference. IEEE Transactions on Information Theory. 2023 Dec 12;70(6):4197-217. link 

12. Chen Y, Song D, Xi X, Zhang Y. Local minima structures in Gaussian mixture models. IEEE Transactions on Information Theory. 2024 Mar 8;70(6):4218-57. link 

13. Vaswani N. Efficient federated low rank matrix recovery via alternating gd and minimization: A simple proof. IEEE Transactions on Information Theory. 2024 Mar 1;70(7):5162-7. link 

14. Wu X, Manton JH, Aickelin U, Zhu J. On the generalization for transfer learning: An information-theoretic analysis. IEEE Transactions on Information Theory. 2024 Aug 14. link 

15. Xu Y, Zhang H. Uniform convergence of deep neural networks with Lipschitz continuous activation functions and variable widths. IEEE Transactions on Information Theory. 2024 Aug 5. link 

16. Matsumoto N, Mazumdar A, Pal S. Improved support recovery in universal 1-bit compressed sensing. IEEE Transactions on Information Theory. 2023 Nov 13;70(2):1453-72. link 

17. Sefidgaran M, Zaidi A. Data-dependent generalization bounds via variable-size compressibility. IEEE Transactions on Information Theory. 2024 Jun 13;70(9):6572-95. link 

18. Cui X, Geng H, Wang Z, Zou C. Robust Estimation of High-Dimensional Linear Regression With Changepoints. IEEE Transactions on Information Theory. 2024 Jul 4;70(10):7297-319. link 

19. Zhang AY. Fundamental limits of spectral clustering in stochastic block models. IEEE Transactions on Information Theory. 2024 Jul 9. link 

20. Cheng X, Lu J, Tan Y, Xie Y. Convergence of flow-based generative models via proximal gradient descent in wasserstein space. IEEE Transactions on Information Theory. 2024 Jul 3;70(11):8087-106. link 

21. Barnes LP, Dytso A, Liu J, Poor HV. $ L^ 1$ Estimation: On the Optimality of Linear Estimators. arXiv preprint arXiv:2309.09129. 2023 Sep 17. link 

22. Capponi A, Stojnic M. Sparse vector and low rank recovery phase transitions: uncovering the explicit relations. IEEE Transactions on Information Theory. 2024 Oct 1. link 

23. Perlaza SM, Bisson G, Esnaola I, Jean-Marie A, Rini S. Empirical risk minimization with relative entropy regularization. IEEE Transactions on Information Theory. 2024 Feb 13;70(7):5122-61. link 

24. Bi S, Zhou L, Pan S. Sparse Signal Reconstruction: Sequential Convex Relaxation, Restricted Null Space Property and Error Bounds. IEEE Transactions on Information Theory. 2024 Sep 5. link 

25. Dudeja R, Sen S, Lu YM. Spectral universality in regularized linear regression with nearly deterministic sensing matrices. IEEE Transactions on Information Theory. 2024 Sep 12. link 

26. Kwon J, Qian W, Chen Y, Caramanis C, Davis D, Ho N. Global optimality of the em algorithm for mixtures of two-component linear regressions. IEEE Transactions on Information Theory. 2024 Jul 29. link