welcome to my personal website！

Research Interests

• Unsupervised and Self-supervised Learning

• Transformer based network design for segmentation, classification

• Medical Image Registration

• Image feature representation

• Medical image Segmentation

Publications( or see my google scholar page)

• Shen W, Peng Z, Wang X, et al. A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction[J]. arXiv preprint arXiv:2207.01223, 2022.

• Cao H, Wang Y, Chen J, et al. Swin-unet: Unet-like pure transformer for medical image segmentation[J]. arXiv preprint arXiv:2105.05537, 2021.

• Jiang D, Dou W, Vosters L, et al. Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network[J]. Japanese journal of radiology, 2018, 36(9): 566-574.

• Xiuming Li, Dongsheng Jiang, Yonghong Shi, Wensheng Li, Segmentation of MR image using local and global region based geodesic model, BioMedical Engineering OnLine, vol. 14, no. 1, 2015, pp. 8.

• Yifeng Fan, Dongsheng Jiang, Manning Wang, Zhijian Song, A new markerless patient-to-image registration method using a portable 3D scanner, Medical Physics, vol. 41, no. 10, 2014, pp. 101910.

• Jiang D, Shi Y, Yao D, et al. miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration[J]. International Journal of Computer Assisted Radiology and Surgery. 2016, 11(6): 997-1005.

• Jiang D, Fan Y, Wang M, et al. Deformable Registration of Ultrasound and Magnetic Resonance Imaging Using a New Self-Similarity Based Neighborhood Descriptor[J]. Journal of Medical Imaging and Health Informatics. 2017, 7(1): 35-40.

• Jiang D, Shi Y, Chen X, et al. Fast and Robust Multimodal Image Registration Using a Local Derivative Pattern[J]. Medical Physics. 2016.