Yichi Zhang

Ph.D Student, Fudan University
Email: zhangyichi23@m.fudan.edu.cn / yichizhang.coda@gmail.com

Github | Google Scholar | Semantic Scholar | ResearchGate

• Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
  Yichi Zhang, Shiyao Hu, Sijie Ren, Chen Jiang, Yuan Cheng and Yuan Qi.
  Submitted to IEEE Journal of Biomedical and Health Informatics, Under Review.

• Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
  Yichi Zhang, Zhenrong Shen and Rushi Jiao.
  Computers in Biology and Medicine, 2024. (SCI Q1, IF=7.7). [project]
  * Open-source project summary with 500+ stars on Github.

• Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
  Ziyang Wang, Jian-Qing Zheng, Yichi Zhang, Ge Cui and Lei Li.
  arXiv preprint. [code]

• SemiSAM: Exploring SAM for Enhancing Semi-Supervised Medical Image Segmentation with Extremely Limited Annotations
  Yichi Zhang, Yuan Cheng and Yuan Qi.
  arXiv preprint.

• Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
  Rushi Jiao*, Yichi Zhang*, Le Ding, Bingsen Xue, Jicong Zhang, Rong Cai and Cheng Jin.
  Computers in Biology and Medicine, 2023. (SCI Q1, IF=7.7)

• Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation
  Yuyan Shi, Yichi Zhang, Shasha Wang.
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023.

• Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
  Yichi Zhang, Rushi Jiao, Qingcheng Liao, Dongyang Li and Jicong Zhang.
  Artificial Intelligence in Medicine, 2023. (SCI Q1 TOP, IF=7.5) [code]

• Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
  Yichi Zhang, Qingcheng Liao, Le Ding and Jicong Zhang.
  Computerized Medical Imaging and Graphics, 2022. (SCI Q1, IF=7.422)

• Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
  Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, and Fabrice Meriaudeau.
  Medical Image Analysis, 2022. (SCI Q1 TOP, IF=13.828)

• Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
  Yichi Zhang*, Qingcheng Liao*, Lin Yuan, He Zhu, Jiezhen Xing and Jicong Zhang.
  IEEE Journal of Biomedical and Health Informatics, 2021. (SCI Q1 TOP, IF=5.77) [video]

• Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
  Yichi Zhang and Jicong Zhang.
  Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021. [code]

• AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
  Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He and Xiaoping Yang.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. (SCI Q1 TOP, IF=17.861)

• SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention
  Yichi Zhang, Lin Yuan, Yujia Wang and Jicong Zhang.
  Medical Imaging with Deep Learning (MIDL), 2020. [video]

• Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed Enhancement Cardiac MRI
  Yichi Zhang
  International Workshop on Statistical Atlases and Computational Models of the Heart, 2020.
  * Ranked 1st Place of MICCAI 2020 EMIDEC Segmentation Challenge.