welcome to my personal website!
Now I graduate and work at Shanghai Huawei Research Center.
PhD. Dongsheng Jiang/蒋东生
Biomedical Engineering
Digital Medical Research Center
Fudan University
dongsheng_jiang(at)outlook(dot)com
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.