Dr Yitian Zhao
**Call for Papers: Special issue on "Geometric Deep Learning in Medical Imaging" in IEEE TMI.
(Submission deadline has been extended to Mar. 1st, 2022 )
Dr Yitian Zhao is currently the director and professor of Lab of Intelligent Medical Imaging (iMED) at Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences. His research expertise is ophthalmic medical image processig, vessel structure analysis, eye and brain joint computing. In particular, he is interested in understanding the relation between retinal vascular changes and a wide spectrum of eye / brain diseases (e.g. diabetic retinopathy, malaria retinopathy, tumors, Alzheimer's disease). Keywords:
Organ - [Eye] [Brain] [Vessel]
Disease - [Glaucoma] [Diabetic Retinopathy (DR)] [Malarial Retinopathy (MR)] [Dry Eye (DE)] [Diabetic Neuropathy (DN)] [Cataract (CA)][Alzheimer’s Disease (AD)] [Cadiovascular Diseases (CVD)]
Imaging Modality - [Color Fundus (CF)] [OCT] [OCTA] [AS-OCT] [Confocal Microscopy (CM)] [Flurescein Angiogram (FA)] [MRI] [Endoscopy]
Others - [Computer Vision (CV)] [Complex System (CS)]
He also has a contract of honorary lecturer with the Department of Eye and Vision Science, University of Liverpool. He received his BEng, MSc in 2008 and 2009 in UK, respectively. He finished his PhD degree in 3D Image Analysis from Department of Computer Science at Aberystwyth University in 2013. Previously, he was a lecturer at the Beijing Institute of Technology from 2015 to 2017, and worked as a postdoctoral and lecturer in the Department of Eye and Vision Science at University of Liverpool since 2013 to 2015. He is also served as Guest Ediotr of IEEE Trans Med. Imaging, Associate Editor of Frontiers in Medicine (speciality with opthalmology), Area Chair of MICCAI (2021), Committee Associate Member of IEEE BISP (2021-2022), editorial board member (speciality with opthalmology) for Scientific Reports (2017-today), Program Co-Chair of ICIMH (2021) and VSIP (2021), Program Committee of AAAI (2021), MICCAI workshop OMIA (2017-today), MIUA (2019), MICAD (2021) and etc.
Contact info: yitian.zhao[AT]nimte[DOT]ac[DOT]cn
Recent News:
**Call for Papers: Special issue on "Geometric Deep Learning in Medical Imaging" in IEEE TMI.
(Submission deadline has been extended to Mar. 1st, 2022)
2022-02-03: One paper has been accepted by International Journal of Computer Vision. [CV]
2022-01-27: One paper has been accepted by IEEE Trans Med. Imaging. [Eye<>CA<>CF]
2022-01-16: I will serve as one of Area Chairs of MICCAI 2022.
2021-10-15: One paper has been accepted by Nature Machine Intelligence ！！ [Eye, Heart<>CVD<>CF, MRI]
2021-10-15: One paper has been accepted by IEEE Trans Med. Imaging. [Eye<>NA<>CM, CF, Endoscopy]
2021-10-15: One paper has been accepted by BMVC [Eye<>NA<>CM, CF, Endoscopy]
2021-10-13: I was appointed as an Associate Editor in Frontier in Medicine (IF: 5.09) with specialty in Ophthalmology.
2021-10-02: One paper has been accepted by Medical Physcis [Brain<>NA<>MRI]
2021-09-30: Our paper has been awarded "Best Poster Paper" at MICCAI workshop on Ophtalmic Medical Image Analysis (OMIA)
2021-09-02: One paper has been accepted by IEEE Trans Med. Imaging. [Eye<>Glaucoma<>AS-OCT]
2021-08-31: One paper has been accepted by IEEE Journal of biomedical and Health Informatics. [Eye<>DR<>CF]
2021-08-24: One paper has been accepted by Medical Image Analysis. [Lung<>N/A<>CT]
2021-07-29: One paper has been accepted by IEEE Trans Med. Imaging. [Eye<>N/A<>CM, CF, Endoscopy]
2021-07-23: One paper has been accepted by ICCV 2021. [CV]
2021-06-29: Our special issue proposal in IEEE Trans Med. Imaging has been approved, and now call for paper!
2021-06-12: Two papers have been accepted by MICCAI 2021.[Eye<>N/A<>OCTA]
2021-05-04: One paper has been accepted by Survey of Ophtalmology. [Eye<>N/A<>N/A]
2021-04-15：I will serve as Program Co-chair of VSIP 2021.
2021-04-08: One paper has been accepted by TVST. [Eye<>DE<>CM]
2021-03-01: One paper has been accepted by CVPR 2021. [CV]
2021-02-23: I was recognized as a Distnguished Reviewer of IEEE Trans. Med. Imaging.
2021-01-16: I will serve as one of Area Chairs of MICCAI 2021.
2021-01-08: One paper has been accepted by Pattern Recognition. [CV]
2020-12-23: One paper has been accepted by Medical Image Analysis. [Eye<>Glaucoma<>AS-OCTA]
2020-12-17: I will serve as Program Co-chair of ICIMH 2021.
2020-12-15: I have been promoted to Professor now.
2020-12-04: Our retinal OCTA dataset (ROSE) has been released!
2020-12-03: One paper has been accepted by IEEE Transactions on Medical Imaging. [Eye<>AD<>OCTA]
2020-11-26: Congratulations, my first PhD student, Qifeng Yan, has successfully defended his dissertation, and now becoming Dr Yan.
2020-11-16: I have been appointed as an Committee Associate Member of IEEE BISP.
2020-11-01: Our paper Medical Physics paper is featured as cover article of issue 47, vol. 10.
2020-10-06: One paper has been accepted by Medical Image Analysis. [Eye-brain<>N/A<>CF-OCTA-OCT-CM]
2020-10-04: One paper has been accepted by IEEE Transactions on Industrial Informatics. [CS]
2020-09-04: One paper has been accepted by IEEE Journal of Biomedical and Health Informatics. [Eye<>N/A<>OCT]
2020-07-03: One paper has been accepted by Medical Physics. [Eye<>DN-DE<>CM]
2020-07-03: Three papers have been accepted by ECCV-2020.
Research Highlights:
<Vessel/Nerve Topology Estimation> <Artery/Vein Classification> <Vessel/Nerve Segmentation>
<Medical Image Enhancement> <Angle-closure Assesement>
Released Datasets:
ROSE: Retinal OCT-Angiography vessel segmentation dataset
CORN: Corneal nerve fiber dataset
VETO：Vessel topology manual annotation dataset
MMM-21: Manual vessel annotations on MRA dataset
ACRO: Artery and vein classification in retinal OCT-Angiography dataset
Code: [gitbub site]
Medical Image Enhancement [Code]
"Structure and Illumination Constrained GAN for Medical Image Enhancement", IEEE Transactions on Medical Imaging (TMI), 2021, in press.
Vessel Segmentation in Retinal OCTA images [Code]
"ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model", IEEE Transactions on Medical Imaging (TMI),40(3): 928-939, 2021.
Vessel and Nerve Fibre Segmentation in 2D and 3D Biomedical Images [Code]
"CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging", Medical Image Analysis, 67: 101874, 2021
Cerebrovascular Segmentation in MRA images [Code]
"Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network ", MICCAI, 2020, pp. 66-75.
3D Iris Reconstruction based on AS-OCT Images [Code]
"Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT", MICCAI, 2020.
2D Biomedical Image Segmentation [Code]
"CE-Net: Context Encoder Network for 2D Medical Image Segmentation", IEEE Transactions on Medical Imaging (TMI), vol. 38, no. 10, pp. 2281-2292, 2019.
Vessel and Nerve Fibre Segmentation in 2D Biomedical Images [Code]
"CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation", MICCAI, 2019, pp. 721-730.
Selected Publications: [Google Scholar]
2022
Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu, Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes, International Journal of Computer Vision, 2022, accepted
Heng Li, Haofeng Liu, Yanhu, Huazhu Fu, Yitian Zhao, Jiang Liu, An Annotation-free Restoration Network for Cataractous Fundus Images, IEEE Transactions on Medical Imaging, 2022, accpeted.
Andres Diaz-Pinto, Nishant Ravikumara, Rahman Attara, Avan Suinesiaputraa, Yitian Zhao, Alejandro F. Frangi et al., Myocardial Infarction through your Retinal Scans and Minimal Personal Information, Nature Machine Intelligence, pp 55-61, 2022.
Vito Romano, Bernhard Steger, Mohammad Ahmad, Giulia Coco, Luca Pagano, Sajjad Ahmad, Yitian Zhao, Yalin Zheng, Stephen B Kaye, Imaging of vascular abnormalities in ocular surface disease, Survey of Ophthalmology, 67(1): 31-51, 2022
Jinkui Hao, Jiang Liu, Ella Pereira, Ri Liu, Jiong Zhang, Yangfan Zhang, Kun Yan, Yan Gong, Jianjun Zheng, Jingfeng Zhang, Yonghuai Liu, Yitian Zhao, Uncertainty-guided Graph Attention Network for Parapneumonic Effusion Diagnosis, Medical Image Analysis, 75: 102217, 2022
2021
Jinkui Hao, Jianyang Xie, Ri Liu, Huaying Hao, Yuhui Ma, Kun Yan, Ruihui Liu, Yalin Zheng, Jianjun Zheng, Jiang Liu, Jingfeng Zhang and Yitian Zhao, Automatic Sequence-based Network for Lung Diseases Detection in Chest CT, Frontiers in Oncology, https://doi.org/10.3389/fonc.2021.781798, 2021
Jinghui Lin, Lei Mou, Jiong Zhang, Xingyu Yue, Shengjun Zhou, Zhiqing Lin, Jiang Liu and Yitian Zhao, Automated Segmentation of Trigeminal Nerve and Cerebrovasculature in MR-Angiography Images by Deep Learning, Frontiers in Neuroscience, https://doi.org/10.3389/fnins.2021.744967, 2021
Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu, Yitian Zhao, Weighing features of lung and heart regions for thoracic disease classification, BMC Medical Imaging, 21(1): 1-12, 2021
Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Yihong Qiao, Ian JC MacCormick, Xiaowei Huang, Yalin Zheng，Graph-based region and boundary aggregation for biomedical image segmentation， IEEE Transactions on Medical Imaging, 2021, DOI: 10.1109/TMI.2021.3123567
Likun Xia,Yixuan Xie,Qiwang Wang,Hao Zhang,Cheng He,Xiaonan Yang,Jinghui Lin,Ran Song,Jiang Liu,Yitian Zhao, A nested parallel multiscale convolution for cerebrovascular segmentation, Medical Physics, 2021, https://doi.org/10.1002/mp.15280
Yanda Meng, Hongrun Zhang, Yitian Zhao, Yalin Zheng, BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation, BMVC, accepted, 2021
Yuhao Niu, Lin Gu, Yitian Zhao, and Feng Lu, Explainable Diabetic Retinopathy Detection and Retinal Image Generation, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2021.3110593, 2021
Jinkui Hao, Fei Li, Huaying Hao, Yanwu Xu, Huazhu Fu, Xiulan Zhang, Jiang Liu, Yitian Zhao, Hybrid Variation-aware Network for Angle-closure Assessment in AS-OCT, IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2021.3110602, 2021
Yitian Zhao, Jinyu Zhao, Yuanyuan Gu, Bang Chen, Jiaqi Guo, Jianyang Xie, Qifeng Yan, Yuhui Ma, Yufei Wu, Jiong Zhang, Qinkang Lu and Jiang Liu, Outer Retinal Layer Thickness Changes in White Matter Hyperintensity and Parkinson's Disease, Frontiers in Neuroscience, DOI=10.3389/fnins.2021.741651, 2021
Ruili Wei, Jianyang Xie , Huihui Wu , Fangping He , Fanxia Meng , Jiang Liu , Yitian Zhao, Superficial macula capillary complexity changes are associated with disability in Neuromyelitis Optica Spectrum Disorders, Frontiers in Neuology, https://doi.org/10.3389/fneur.2021.724946, 2021
Yuhui Ma, Jiang Liu, Yonghuai Liu, Huazhu Fu, Yan Hu, Jun Cheng, Hong Qi, Yufei Wu, Jiong Zhang, Yitian Zhao, Structure and Illumination Constrained GAN for Medical Image Enhancement, IEEE Transactions on Medical Imaging, 10.1109/TMI.2021.3101937, 2021.
Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng, Spaitial Uncertainty-Aware Semi-Supervised Crowd Counting, ICCV, accepted, 2021.
Shuai Yu, Yonghuai Liu, Jiong Zhang, Jianyang Xie, Yalin Zheng, Jiang Liu, Yitian Zhao, Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography, MICCAI, pp. 13-23, 2021.
Xu Chen, Yanda Meng, Yitian Zhao, Rachel Williams, Srinivasa Vallabhaneni , Yalin Zheng, Unsupervised Parameter-specific Affine Registration for 2D/3D Medical Images using Convolutional Neural Networks, MICCAI, accepted, 2021.
Ran Song, Wei Zhao, Yitian Zhao, Yonghuai Liu, Paul Rosin, Mesh Saliency: An Independent Perceptual Measure or A Derivative of Image Saliency? Proceeding of CVPR, pp. 8853-8862, 2021.
Baikai Ma, Jianyang Xie, Tingting Yang, Pan Su, Rongjun Liu, Tong Sun, Yifan Zhou, Haiwei Wang, Xue Feng, Siyi Ma, Yitian Zhao, Hong Qi, Quantification of Increased Corneal Subbasal Nerve Tortuosity in Dry Eye Disease and Its Correlation with Clinical Parameters, Translational vision science and technology, 10(6): 26, 2021.
Tianhua Chen, Changjing Shang, Pan Su, Elpida Keravnou-Papailiou, Yitian Zhao, Grigoris Antoniou, Qiang Shen,A decision tree-initialised neuro-fuzzy approach for clinical decision support, Artificial Intelligence in Medicine, 111: 101986, 2021.
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu, Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems，Pattern Recognition,110: 107332, 2021.
Morteza Ghahremani, Yitian Zhao, Bernard Tiddeman，Yonghuai Liu，Interwoven Texture-Based Description of Interest Points in Images, Pattern Recognition, 113: 107821, 2021.
Huaying Hao, Yitian Zhao, Qifeng Yan, Risa Higashita, Jiong Zhang, Yifan Zhao, Yanwu Xu, Fei Li, Xiulan Zhang, Jiang Liu, Angle-closure Assessment in Anterior Segment OCT Images via Deep Learning, Medical Image Analysis, 69: 101956, 2021
Heng Li, Haofeng Liu, Yan Hu, Risa Higashita, Yitian Zhao, Hong Qi, Jiang Liu, Restoration of Cataract Fundus Images via Unsupervised Domain Adaptation. Proceeding of ISBI, pp. 516-520, 2021.
Zhenjie Chai, Jianlong Yang, Kang Zhou, Zhi Chen, Yitian Zhao, Shenghua Gao, Jiang Liu, Memory-assisted Dual-end Adaptation Network for Choroid Segmentation in Multi-domain Optical Coherence Tomography. Proceeding of ISBI, pp. 1614-1617, 2021.
Shuai Yu, Jianyang Xie, Jinkui Hao, Yalin Zheng, Jiong Zhang, Yan Hu, Jiang Liu, Yitian Zhao, 3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation. Proceeding of ISBI, pp. 1609-1613, 2021.
Yuhui Ma, Huaying Hao, Jianyang Xie, Huazhu Fu, Jiong Zhang, Jianlong Yang, Zhen Wang, Jiang Liu, Yalin Zheng, Yitian Zhao, ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model, IEEE Transactions on Medical Imaging,40(3): 928-939, 2021. [Dataset: ROSE][PDF] [Code]
Weixiang Du, Haochen Liu, Yitian Zhao, Adisorn Sirikham, Sri Addepalli, Yifan Zhao, A miniaturised active thermography system to inspect composite laminates, IEEE Transactions on Industrial Informatics, 17(5):3314-3323, 2021. [PDF]
Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro Frangi, Masahiro Akiba, Jiang Liu, CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging, Medical Image Analysis, 67: 101874, 2021. [PDF][Code]
2020
Huihong Zhang, Jianlong Yang, Kang Zhou, Liyang Fang, Fei Li, Yan Hu, Yitian Zhao, Xiulan Zhang, Jiang Liu, Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning, IEEE-JBHI, 24(12): 3408-3420, 2020.[PDF]
Yifan Zhao, Yitian Zhao, Jiang Liu and others, Imaging of nonlinear and dynamic functional brain connectivity based on EEG recordings with the application on the diagnosis of Alzheimer's disease, IEEE Transactions on Medical Imaging, 39(5): 1571-1581, 2020.
Pan Su, Tianhua Chen, Jianyang Xie, Yalin Zheng, Hong Qi, Davide Borroni, Yitian Zhao, Jiang Liu. Corneal Nerve Tortuosity Grading via Ordered Weighted Averaging-based Feature Extraction, Medical Physics, 2020, 47(10): 4983-4996. (featured cover article) [PDF]
Joshua Bridge, Yanda Meng, Yitian Zhao, Yalin Zheng, Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models, IEEE-JBHI, 2020, 24(10): 2776-2786. [PDF]
Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu, Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes. Proceeding of ECCV, 2020, pp. 454-470[Dataset][PDF]
Yanda Meng, Meng Wei, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng, Regression of Instance Boundary by Aggregated CNN and GCN. Proceeding of ECCV, 2020, pp. 190-207 [PDF]
Yuhui Ma, Yonghuai Liu, Jun Cheng, Yalin Zheng, Morteza Ghahremani, Honghan Chen, Jiang Liu, Yitian Zhao, Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement. Proceeding of MICCAI, 2020, pp. 667-677. [Dataset: CORN-2]
Hao Zhang, Likun Xia, Ran Song, Jianlong Yang, Huaying Hao, Jiang Liu, Yitian Zhao, Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network. Proceeding of MICCAI, 2020, pp. 66-75.[Code]
Yanda Meng, Meng Wei, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng, CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation. Proceeding of MICCAI, 2020, pp. 352-362.
Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao, Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT. Proceeding of MICCAI, 2020, pp. 704-714. [PDF][Code]
Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao, Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences. Proceeding of MICCAI, 2020, pp. 515-724.[PDF]
Jianyang Xie, Yonghuai Liu, Yalin Zheng, Pan Su, Yan Hu, Jianlong Yang, Jiang Liu, Yitian Zhao, Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images. Proceeding of MICCAI, 2020, pp.117-127. [Dataset: ACRO]
Xingjun Ma, Yuhao Niu，Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu, Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems, Pattern Recognition,110: 107332, 2021. [PDF]
Yitian Zhao, Jiong Zhang, Ella Pereira, Yalin Zheng, Pan Su, Jianyang Xie, Yifan Zhao, Yonggang Shi, Hong Qi, Jiang Liu, Yonghuai Liu, Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy, IEEE Transactions on Medical Imaging, 2020, 39(9): 2725-2737. [Dataset: CORN-3]
Brayn Williams, Davide Borroni, Rongjun Liu, Yitian Zhao, Jiong Zhang, Yalin Zheng, An aritifical intenlligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study, Diabetologia, 63(2): 419-430, 2020
Yitian Zhao, Jianyang Xie, Huaizhong Zhang, Yalin Zheng, Yifan Zhao, Hong Qi, Yangchun Zhao, Pan Su, Jiang Liu and Yonghuai Liu. Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering, IEEE Transactions on Medical Imaging, 2020, 39(2): 341-356. [Dataset: VETO]
Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu, Dense Dilated Network with Probability Regularized Walk for Vessel Detection, IEEE Transcation on Medical Imaging, 39(5): 1392-1403, 2020.
Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu, Open-Set Oct Image Recognition with Synthetic Learning. Proceeding of ISBI, 2020, pp. 1788-1792.
Kang Zhou, Shenghua Gao , Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu, Sparse-GAN: Sparsity-Constrained Generative Adversarial Network for Retinal OCT Image Anomaly Detection. Proceeding of ISBI, 2020, pp. 1227-1231.
2019
Qifeng Yan, Yitian Zhao, Yalin Zheng, Yonghuai Liu, Kang Zhou, Alejandro Frangi, Jiang Liu, Automated retinal lesion detection via image saliency analysis, Medical Physics, 46(10): 4531-4544, 2019.
Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Jiang Liu, SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis, Proceeding of MICCAI 2019, pp. 777-785.
Pan Su, Yitian Zhao, Tianhua Che, Jianyang Xie, Yifan Zhao, Hong Qi, Yalin Zheng, Jiang Liu, Exploiting Reliability-guided Aggregation for the Assessment of Curvilinear Structure Tortuosity, Proceeding of MICCAI 2019, pp. 12-20.
Lei Mou, Yitian Zhao, Li Chen, Jun Cheng,Hong Qi, Yalin Zheng, Alejandro Frangi, Jiang Liu, CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation, Proceeding of MICCAI 2019, pp. 721-730. [Dataset: CORN-1] [Code]
Pholpat Durongbhan, Yifan Zhao, Liangyu Chen, Panagiotis Zis, Matteo De Marco, Zoe C. Unwin, Annalena Venneri, Xiongxiong He, Sheng Li, Yitian Zhao, Daniel J. Blackburn, and Ptolemaios G. Sarrigiannis. A Dementia Classification Framework using Frequency and Time-frequency Features based on EEG signals. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 27(5): 826-835, 2019.
Pan Su, Tianhua Chen, Haoyu Mao, Jianyang Xie, Yitian Zhao, Jiang Liu. On the Application of Preaggregation Functions to Fuzzy Pattern Tree, FUZZ-IEEE 2019.
Zaiwang Gu, Jun Cheng, Huazhu Fu, Yitian Zhao, Tianyang Zhang, Huaying Hao, Kang Zhou, Jiang Liu, CE-Net: Context Encoder Network for 2D Medical Image Segmentation, IEEE Transactions on Medical Imaging, 38(10): 2281-2292, 2019. [Code]
Jianyang Xie, Yitian Zhao, Yonghuai Liu, Pan Su, Yalin Zheng, Yifan Zhao, Jun Cheng, Jiang Liu, Topology Reconstruction of Tree-like Structure in Images via Structural Similarity Measure and Dominant Set Clustering, Proceeding of CVPR, Long Beach, USA, June, pp. 8505-8513, 2019.
Jun Cheng, Yitian Zhao, Yan Hu and Jiang Liu, Pixel Reconstruction for Speckle Reduction in 3D Optical Coherence Tomography of Retina, Proceeding of ISBI, Venice, Italy, pp. 1424-1427 2019.
2018
Yonghuai Liu, Yitian Zhao, Yanquan Zhou, Yongjun Wang, Wei Huang, Jiwan Han, Yiguang Liu, Logistic Regression of Point Matches for Accurate Transformation Estimation, Proceedings of International Conference on 3D Vision (3DV), pp. 409-417，Verona, Italy, September, 2018.
Yitian Zhao,Yalin Zheng, Zhili Chen, Peng Liu, Yifan Zhao, Jiang Liu, Uniqueness-Driven Saliency Analysis For Automated Abnormalities Detection with Application to Retinal Diseases, Proceedings of MICCAI, pp. 109-118, Granada, Spain, September, 2018.
Yitian Zhao, Jianyang Xie, Yalin Zheng, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Jiang Liu, Retinal Artery and Vein Classification via Dominant Sets Clustering-based Vascular Topology Estimation, Proceedings of MICCAI, pp. 56-64, Granada, Spain, September, 2018. [Dataset: VETO]
Jianyang Xie, Yitian Zhao, Yalin Zheng, Jiang Liu, Yongtian Wang, Retinal Vascular Topology Estimation Via Dominant Sets Clustering. Proceedings of International Symposium on Biomedical Imaging (ISBI 2018), Washington DC, USA, April, 2018.
Yitian Zhao, Yalin Zheng, Yonghuai Liu, Yifan Zhao, Lingling Luo, Siyuan Yang, Tong Na, Yongtian Wang, Jiang Liu, Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter, IEEE Transactions on Medical Imaging, 37(2): 438-450, 2018. [Dataset: MMM-21]
2017
Pan Su, Changjing Shang, Yitian Zhao, Tianhua Chen and Qiang Shen, Fuzzy Rough Feature Selection Based on OWA Aggregation of Fuzzy Relations, FUZZ-IEEE, Naples, Italy, 1-6, 2017. [Oral]
Gabriela Czanner, Ian James MacCormick, Yalin Zheng, Silvester Czanner, Yitian Zhao, Peter Diggle, Simon P Harding, Spatial distribution modelling of retinal lesions with application to retinal capillary non-perfusion in malarial retinopathy, Investigative Ophthalmology & Visual Science, 58(8): 4819, 2017. (Abstract)
Yalin Zheng, Bryan M Williams, Harry Pratt, Baidaa Al-Bander, Xiangqian Wu, Yitian Zhao, Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning, Investigative Ophthalmology & Visual Science, 58(8): 824, 2017. (Abstract)
Lingling Luo, Yitian Zhao, Jian Yang, Yalin Zheng, Danni Ai, Yongtian Wang, Cerebral Vascular Enhancement Using a Weighted 3D Symmetry Filter. Proceedings of International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, 1945-8452, 2017.
Yitian Zhao, Yalin Zheng, Yonghuai Liu, Jian Yang, Yifan Zhao, Yongtian Wang, Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy, IEEE Transactions on Medical Imaging, 36(1): 51-63, 2017. [Dataset: LIMA]
Jingfan Fan, Jian Yang, Yitian Zhao, Danni Ai, Yonghuai Liu, Ge Wang, Yongtian Wang, Convex Hull Aided Registration Method (CHARM), IEEE Transactions on Visualization and Computer Graphics, 23(9): 2042-2055, 2017
2016
Yonghuai Liu, Honghai Liu, Ralph R. Martin, Luigi De Dominicis, Ran Song, Yitian Zhao, Accurately Estimating Rigid Transformations in Registration using a Boosting-Inspired Mechanism, Pattern Recognition, 60: 849–862, 2016.
Sebastian Amrogowicz, Yitian Zhao, Yifan Zhao, An Edge Detection Method using Outer Totalistic Cellular Automata, Neurocomputing, 214(19): 643-653, 2016.
Yitian Zhao, Yonghuai Liu, Yongjun Wang, Baogang Wei, Jian Yang, Yifan Zhao, Yongtian Wang: Region-based saliency estimation for 3D shape analysis and understanding. Neurocomputing, 197: 1-13, 2016.
Jingfan Fan, Jian Yang, Danni Ai, Likun Xia, Yitian Zhao, Yongtian Wang: Convex Hull indexed Gaussian Mixture Model (CH-GMM) for Non-rigid Point Set Registration, Pattern Recognition. 59: 126-141, 2016.
Jingfan Fan, Jian Yang, Feng Lu, Danni Ai, Yitian Zhao, Yongtian Wang: 3-Points Convex Hull Matching (3PCHM) for Fast and Robust Point Set Registration, Neurocomputing, 194: 227-240, 2016.
2015
Yitian Zhao, Lavdie Rada, Ke Chen, Simon Harding, Yalin Zheng: Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retina Images. IEEE Transactions on Medical Imaging, 34(9): 1797-1807, 2015. [Top 2 Most Frequently Downloaded Paper of T-MI in 2015]
Yitian Zhao, Ian J. C. MacCormick, David G. Parry, Nicholas A. V. Beare, Simon P. Harding, Yalin Zheng: Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy. Scientific Reports, 5: srep11154, 2015.
Yitian Zhao, Yonghuai Liu, Xiangqian Wu, Simon P Harding, Yalin Zheng: Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase. PLoS ONE,10(4): 0122332, 2015. [ESI highly cited paper, ESI高被引论文]
Yitian Zhao, Ian J C MacCormick, David G Parry, Sophie Leach, Nick Beare, Simon P Harding, Yalin Zheng: Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy. Scientific Reports, 5: srep10425, 2015.
Yonghuai Liu, Honghai Liu, Yitian Zhao, Ran Song: Performance calibration through partly peer assessment. Proceedings of International Conference on Education and New Developments (END 2015), Porto, Portugal, 62-66, (AR=33%),. [Oral]
2014 and earlier, please visit my Google Scholar