Yi Hong

Yi Hong

Shanghai Jiao Tong University

H-index: 15

Asia-China

About Yi Hong

Yi Hong, With an exceptional h-index of 15 and a recent h-index of 11 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Medical Image Analysis, Statistical Shape Analysis, AI in Medical Imaging.

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

AliFuse: Aligning and Fusing Multi-modal Medical Data for Computer-Aided Diagnosis

Longformer: Longitudinal Transformer for Alzheimer's Disease Classification With Structural MRIs

Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models

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R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networks

A2FSeg: Adaptive Multi-modal Fusion Network for Medical Image Segmentation

Pretrain Once and Finetune Many Times: How Pretraining Benefits Brain MRI Segmentation

Medblip: Bootstrapping language-image pre-training from 3d medical images and texts

Yi Hong Information

University

Position

___

Citations(all)

641

Citations(since 2020)

461

Cited By

352

hIndex(all)

15

hIndex(since 2020)

11

i10Index(all)

18

i10Index(since 2020)

12

Email

University Profile Page

Shanghai Jiao Tong University

Google Scholar

View Google Scholar Profile

Yi Hong Skills & Research Interests

Medical Image Analysis

Statistical Shape Analysis

AI in Medical Imaging

Top articles of Yi Hong

Title

Journal

Author(s)

Publication Date

AliFuse: Aligning and Fusing Multi-modal Medical Data for Computer-Aided Diagnosis

arXiv preprint arXiv:2401.01074

Qiuhui Chen

Xinyue Hu

Zirui Wang

Yi Hong

2024/1/2

Longformer: Longitudinal Transformer for Alzheimer's Disease Classification With Structural MRIs

Qiuhui Chen

Qiang Fu

Hao Bai

Yi Hong

2024

Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models

arXiv preprint arXiv:2403.05141

Qiuhui Chen

Huping Ye

Yi Hong

2024/3/8

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers

Segmentation Framework via Optimal

Mass Transportation Pre-processing

Jia-Wei Liao¹

Tsung-Ming Huang

Tiexiang Li

...

2023/7/17

R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networks

Medical Image Analysis

Ankita Joshi

Yi Hong

2023/10/1

A2FSeg: Adaptive Multi-modal Fusion Network for Medical Image Segmentation

Zirui Wang

Yi Hong

2023/10/1

Pretrain Once and Finetune Many Times: How Pretraining Benefits Brain MRI Segmentation

Hao Zhang

Sheng Xu

Wei Ren

Huping Ye

Yi Hong

2023/12/1

Medblip: Bootstrapping language-image pre-training from 3d medical images and texts

arXiv preprint arXiv:2305.10799

Qiuhui Chen

Xinyue Hu

Zirui Wang

Yi Hong

2023/5/18

Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors

arXiv preprint arXiv:2310.08084

Qiuhui Chen

Haiying Lyu

Xinyue Hu

Yong Lu

Yi Hong

2023/10/12

MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks

Ankita Joshi

Yi Hong

2023/10/8

Efficient diffeomorphic image registration using multi-scale dual-phased learning

Ankita Joshi

Yi Hong

2022/3/28

Diffeomorphic image registration using lipschitz continuous residual networks

Ankita Joshi

Yi Hong

2022/12/4

Scribble2d5: Weakly-supervised volumetric image segmentation via scribble annotations

Qiuhui Chen

Yi Hong

2022/9/16

ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network

arXiv preprint arXiv:2112.09135

Raunak Dey

Wenbo Sun

Haibo Xu

Yi Hong

2021/12/16

DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration

arXiv preprint arXiv:2105.11361

Ankita Joshi

Yi Hong

2021/5/24

Mda-net: Multi-dimensional attention-based neural network for 3d image segmentation

Rutu Gandhi

Yi Hong

2021/4/13

Asc-net: Adversarial-based selective network for unsupervised anomaly segmentation

Raunak Dey

Yi Hong

2021

Sa-net: Robust state-action recognition for learning from observations

Nihal Soans

Ehsan Asali

Yi Hong

Prashant Doshi

2020/5/31

Hybrid cascaded neural network for liver lesion segmentation

Raunak Dey

Yi Hong

2020/4/3

See List of Professors in Yi Hong University(Shanghai Jiao Tong University)

Co-Authors

H-index: 93
Martin Styner

Martin Styner

University of North Carolina at Chapel Hill

H-index: 88
J. S. Marron

J. S. Marron

University of North Carolina at Chapel Hill

H-index: 84
Nuno Vasconcelos

Nuno Vasconcelos

University of California, San Diego

H-index: 52
Sylvain Bouix

Sylvain Bouix

Harvard University

H-index: 51
Marc Niethammer

Marc Niethammer

University of North Carolina at Chapel Hill

H-index: 33
Roland Kwitt

Roland Kwitt

Universität Salzburg

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