Yichi Zhang

According to our database, Yichi Zhang authored at least 31 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SemiSAM-O1: How far can we push the boundary of annotation-efficient medical image segmentation?

Yichi Zhang, Le Xue, Bichun Xu, Judong Luo, Zhigang Wu, Yu Fu, Zixin Hu, Yuan Cheng, Yuan Qi

CoRR, April, 2026

Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography.

Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Feiyang Xiao, Yuchen Liu, Xiaohui Zhang, Hongwei Zhang, Shuqi Wang, Gang Feng, Liling Peng, Xin Gao, Yuanfan Xu, Yuan Qi, Kuangyu Shi, Hong Zhang, Yuan Cheng, Mei Tian, Zixin Hu

CoRR, March, 2026

PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation.

Yuchen Liu, Wenbo Zhang, Liling Peng, Yichi Zhang, Yu Fu, Xin Guo, Chao Qu, Yuan Qi, Le Xue

CoRR, March, 2026

Uncovering Modality Discrepancy and Generalization Illusion for General-Purpose 3D Medical Segmentation.

Yichi Zhang, Feiyang Xiao, Le Xue, Wenbo Zhang, Gang Feng, Chenguang Zheng, Yuan Qi, Yuan Cheng, Zixin Hu

CoRR, February, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Intracranial Aneurysm Vessel Segmentation: A Perspective from Computational Fluid Dynamics Applications.

Feiyang Xiao, Yichi Zhang, Xigui Li, Yuanye Zhou, Chen Jiang, Xin Guo, Limei Han, Yuxin Li, Fengping Zhu, Yuan Cheng

CoRR, December, 2025

Aneumo: A Large-Scale Multimodal Aneurysm Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks.

Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Chen Jiang, Tan Pan, Xingmeng Zhang, Cenyu Liu, Zeyun Miao, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Yichi Zhang, Wenbo Zhang, Fengping Zhu, Limei Han, Yuan Qi, Chensen Lin, Yuan Cheng

CoRR, May, 2025

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

CoRR, January, 2025

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 Anal., 2025

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

NasalSeg Dataset for Nasal Cavity and Paranasal Sinuses Segmentation from CT Images.

Yichi Zhang, Jing Wang, Tan Pan, Quanlin Jiang, Jingjie Ge, Xin Guo, Chen Jiang, Jie Lu, Jianning Zhang, Xueling Liu, Mei Tian, Yuan Qi, Yuan Cheng, Chuantao Zuo

Dataset, October, 2024

NasalSeg Dataset for Nasal Cavity and Paranasal Sinuses Segmentation from CT Images.

Yichi Zhang, Jing Wang, Tan Pan, Quanlin Jiang, Jingjie Ge, Xin Guo, Chen Jiang, Jie Lu, Jianning Zhang, Xueling Liu, Mei Tian, Yuan Qi, Yuan Cheng, Chuantao Zuo

Dataset, June, 2024

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

Comput. Biol. Medicine, February, 2024

Segment anything model for medical image segmentation: Current applications and future directions.

Yichi Zhang, Zhenrong Shen, Rushi Jiao

Comput. Biol. Medicine, 2024

Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI.

Yichi Zhang, Yuan Cheng, Yuan Qi

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization.

Yichi Zhang, Jin Yang, Yuchen Liu, Yuan Cheng, Yuan Qi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

SemiSAM: Exploring SAM for Enhancing Semi-Supervised Medical Image Segmentation with Extremely Limited Annotations.

Yichi Zhang, Yuan Cheng, Yuan Qi

CoRR, 2023

Segment Anything Model with Uncertainty Rectification for Auto-Prompting Medical Image Segmentation.

Yichi Zhang, Shiyao Hu, Chen Jiang, Yuan Cheng, Yuan Qi

CoRR, 2023

How Segment Anything Model (SAM) Boost Medical Image Segmentation?

Yichi Zhang, Rushi Jiao

CoRR, 2023

Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation.

Yichi Zhang, Rushi Jiao, Qingcheng Liao, Dongyang Li, Jicong Zhang

Artif. Intell. Medicine, 2023

2022

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 Trans. Pattern Anal. Mach. Intell., 2022

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 Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

Medical Image Anal., 2022

Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation.

Rushi Jiao, Yichi Zhang, Le Ding, Rong Cai, Jicong Zhang

CoRR, 2022

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

Comput. Medical Imaging Graph., 2022

2021

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 J. Biomed. Health Informatics, 2021

Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation.

Yichi Zhang, Qingcheng Liao, Rushi Jiao, Jicong Zhang

CoRR, 2021

Dual-Task Mutual Learning for Semi-supervised Medical Image Segmentation.

Yichi Zhang, Jicong Zhang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study.

Yichi Zhang, Qingcheng Liao, Jicong Zhang

CoRR, 2020

SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention.

Yichi Zhang, Lin Yuan, Yujia Wang, Jicong Zhang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI.

Yichi Zhang

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020