Yunhe Gao

About Yunhe Gao

Yunhe Gao, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Rutgers, The State University of New Jersey, specializes in the field of Medical Image Analysis, Computer Vision.

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

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction

Deep deformable models: Learning 3d shape abstractions with part consistency

Visual prompt tuning for test-time domain adaptation

Deep Physics-based Deformable Models for Efficient Shape Abstractions

Region proposal rectification towards robust instance segmentation of biological images

Transfusion: multi-view divergent fusion for medical image segmentation with transformers

Modality Bank: Learn multi-modality images across data centers without sharing medical data

A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Yunhe Gao Information

University

Position

___

Citations(all)

785

Citations(since 2020)

783

Cited By

32

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Yunhe Gao Skills & Research Interests

Medical Image Analysis

Computer Vision

Top articles of Yunhe Gao

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction

Advances in Neural Information Processing Systems

2024/2/13

Deep deformable models: Learning 3d shape abstractions with part consistency

arXiv preprint arXiv:2309.01035

2023/9/2

Visual prompt tuning for test-time domain adaptation

arXiv preprint arXiv:2210.04831

2022/10/10

Deep Physics-based Deformable Models for Efficient Shape Abstractions

2022/9/29

Region proposal rectification towards robust instance segmentation of biological images

2022/9/16

Transfusion: multi-view divergent fusion for medical image segmentation with transformers

2022/9/16

Modality Bank: Learn multi-modality images across data centers without sharing medical data

2022/7/11

Qi Chang
Qi Chang

H-Index: 2

Yunhe Gao
Yunhe Gao

H-Index: 4

A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

arXiv preprint arXiv:2203.00131

2022/2/28

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

2021/9/21

Yunhe Gao
Yunhe Gao

H-Index: 4

Mu Zhou
Mu Zhou

H-Index: 17

Enabling data diversity: efficient automatic augmentation via regularized adversarial training

2021/6/14

Crossnorm and selfnorm for generalization under distribution shifts

2021

FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images

Medical Image Analysis

2021/1/1

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

2020/7/17

Zhiqiang Tang
Zhiqiang Tang

H-Index: 9

Yunhe Gao
Yunhe Gao

H-Index: 4

See List of Professors in Yunhe Gao University(Rutgers, The State University of New Jersey)

Co-Authors

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