Yichi Zhang

Ph.D Candidate, Fudan University
Email: zhangyichi23@m.fudan.edu.cn

Github | Google Scholar | Semantic Scholar | ResearchGate

• PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography
  Yichi Zhang*, Wenbo Zhang*, Zehui Ling*, Gang Feng, Sisi Peng, Deshu Chen, Yuchen Liu, Hongwei Zhang, Shuqi Wang, Lanlan Li, Limei Han, Yuan Cheng, Zixin Hu, Yuan Qi, Le Xue.
  arXiv preprint, 2025. [project]

• SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images
  Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi.
  International Conference on Computer Vision (ICCV), 2025. [code] [model]

• SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
  Yichi Zhang, Bohao Lv, Le Xue, Wenbo Zhang, Yuchen Liu, Yu Fu, Yuan Cheng, Yuan Qi.
  Medical Image Analysis, 2025. (SCI Q1 TOP, IF=11.8) [code] [video@MICS]

• SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
  Yichi Zhang, Jin Yang, Yuchen Liu, Yuan Cheng, Yuan Qi.
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. [code]

• Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
  Yichi Zhang^†, Zhenrong Shen, Rushi Jiao.
  Computers in Biology and Medicine, 2024. (SCI Q1, IF=7.7) [project]
  * Open-source project summary with 1000+ stars on Github
  * ESI Highly Cited Paper

• Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification
  Yichi Zhang, Shiyao Hu, Le Xue, Sijie Ren, Zixin Hu, Yuan Cheng, Yuan Qi.
  International Conference on Computer Vision Workshop (ICCV-W), 2025.

• Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
  Yichi Zhang, Zhenrong Shen.
  arXiv preprint, 2024. [project]

• 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, Cheng Jin.
  Computers in Biology and Medicine, 2023. (SCI Q1, IF=7.7)
  * ESI Highly Cited Paper

• 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, Jicong Zhang.
  Artificial Intelligence in Medicine, 2023. (SCI Q1 TOP, IF=7.5) [code]

• 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, Jicong Zhang.
  IEEE Journal of Biomedical and Health Informatics, 2021. (SCI Q1 TOP, IF=5.77) [video@MICS]

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

• Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics
  Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Yichi Zhang, Chen Jiang, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Taiwei Zhang, Chensen Lin, Yuan Cheng, Yuan Qi.
  arXiv preprint, 2025. [project] [dataset]

• NasalSeg: A Dataset for Automatic Segmentation of Nasal Cavity and Paranasal Sinuses from 3D CT Images
  Yichi Zhang*, Jing Wang*, Tan Pan, Quanling Jiang, Jingjie Ge, Xin Guo, Chen Jiang, Jie Lu, Jianning Zhang, Xueling Liu, Mei Tian, Yuan Qi, Yuan Cheng, Chuantao Zuo.
  Scientific Data, 2024. (SCI Q1, IF=5.8). [project] [dataset]

• 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, 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, Fabrice Meriaudeau.
  Medical Image Analysis, 2022. (SCI Q1 TOP, IF=13.828)

• 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, Xiaoping Yang.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. (SCI Q1 TOP, IF=17.861) [code]
  * ESI Highly Cited Paper

• DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain Images
  Shan Cong, Kailong Cui, Yuzun Yang, Yang Zhou, Xinxin Wang, Haoran Luo, Yichi Zhang^†, Xiaohui Yao ^†.
  IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024.

• Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
  Ziyang Wang, Jian-Qing Zheng, Yichi Zhang, Ge Cui, Lei Li.
  arXiv preprint, 2024. [code]

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

• 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.