Yichi Zhang

About Yichi Zhang

Yichi Zhang, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Beihang University, specializes in the field of Medical Image Analysis, Computer Vision, Label-Efficient Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation

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

Mamba-unet: Unet-like pure visual mamba for medical image segmentation

Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation

Semisam: Exploring sam for enhancing semi-supervised medical image segmentation with extremely limited annotations

Segment anything model with uncertainty rectification for auto-prompting medical image segmentation

Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation

Yichi Zhang Information

University

Position

___

Citations(all)

493

Citations(since 2020)

493

Cited By

6

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Yichi Zhang Skills & Research Interests

Medical Image Analysis

Computer Vision

Label-Efficient Learning

Top articles of Yichi Zhang

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models

arXiv preprint arXiv:2404.13239

2024/4/20

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation

arXiv preprint arXiv:2403.10674

2024/3/15

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

2024/2/27

Yichi Zhang
Yichi Zhang

H-Index: 2

Zhenrong Shen
Zhenrong Shen

H-Index: 1

Mamba-unet: Unet-like pure visual mamba for medical image segmentation

arXiv preprint arXiv:2402.05079

2024/2/7

Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation

Computers in Biology and Medicine

2023/12/16

Yichi Zhang
Yichi Zhang

H-Index: 2

Cheng Jin
Cheng Jin

H-Index: 20

Semisam: Exploring sam for enhancing semi-supervised medical image segmentation with extremely limited annotations

arXiv preprint arXiv:2312.06316

2023/12/11

Segment anything model with uncertainty rectification for auto-prompting medical image segmentation

arXiv preprint arXiv:2311.10529

2023/11/17

Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2023/10/21

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

Artificial Intelligence in Medicine

2023/4/1

Yichi Zhang
Yichi Zhang

H-Index: 2

Dongyang Li
Dongyang Li

H-Index: 3

Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5 D solutions

2022/7/1

Yichi Zhang
Yichi Zhang

H-Index: 2

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

IEEE Journal of Biomedical and Health Informatics

2021/11/5

Abdomenct-1k: Is abdominal organ segmentation a solved problem?

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021/7/27

Dual-task mutual learning for semi-supervised medical image segmentation

2021

Yichi Zhang
Yichi Zhang

H-Index: 2

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

2020/10/28

Yichi Zhang
Yichi Zhang

H-Index: 2

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

2020/9/21

Yichi Zhang
Yichi Zhang

H-Index: 2

Lin Yuan
Lin Yuan

H-Index: 12

See List of Professors in Yichi Zhang University(Beihang University)

Co-Authors

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