Yichi Zhang

According to our database, Yichi Zhang authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

2017

Objective Quality Assessment of Image Retargeting by Incorporating Fidelity Measures and Inconsistency Detection.

Yichi Zhang, King Ngi Ngan, Lin Ma, Hongliang Li

IEEE Trans. Image Process., 2017