Jinshan Tang

Jinshan Tang

Michigan Technological University

H-index: 35

North America-United States

About Jinshan Tang

Jinshan Tang, With an exceptional h-index of 35 and a recent h-index of 22 (since 2020), a distinguished researcher at Michigan Technological University, specializes in the field of medical image analysis, Deep learning, Data Mining, Image processing, Intelligent medical systems.

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

Location-aware multi-code generator for remote sensing scene classification

Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease

Multi-scale local-global transformer with contrastive learning for biomarkers segmentation in retinal OCT images

Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model

Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention

Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?

Graph Convolutional Networks with Feature Enhancement for Choroidal Neovascularization Segmentation in OCT Images

Jinshan Tang Information

University

Position

___

Citations(all)

5240

Citations(since 2020)

2414

Cited By

3578

hIndex(all)

35

hIndex(since 2020)

22

i10Index(all)

73

i10Index(since 2020)

43

Email

University Profile Page

Michigan Technological University

Google Scholar

View Google Scholar Profile

Jinshan Tang Skills & Research Interests

medical image analysis

Deep learning

Data Mining

Image processing

Intelligent medical systems

Top articles of Jinshan Tang

Title

Journal

Author(s)

Publication Date

Location-aware multi-code generator for remote sensing scene classification

International Journal of Remote Sensing

Xiaoyong Bian

Zufang Yang

Chengsong Hu

Min Peng

Jinshan Tang

2024/4/17

Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease

arXiv preprint arXiv:2401.14130

Yihao Lin

Ximeng Li

Yan Zhang

Jinshan Tang

2024/1/25

Multi-scale local-global transformer with contrastive learning for biomarkers segmentation in retinal OCT images

Biocybernetics and Biomedical Engineering

Xiaoming Liu

Yuanzhe Ding

Ying Zhang

Jinshan Tang

2024/1/1

Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network

Mathematical Biosciences and Engineering

Chenqian Li

Jun Liu

Jinshan Tang

2024

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model

IEEE Transactions on AgriFood Electronics

Siqi Zhou

Ling Wang

Jie Liu

Jinshan Tang

2024/4/18

Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention

arXiv preprint arXiv:1809.10692

Amelia Jiménez-Sánchez

Anees Kazi

Shadi Albarqouni

Sonja Kirchhoff

Alexandra Sträter

...

2018/9/27

Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?

Biomedical Physics & Engineering Express

Nan Mu

M Rezaeitaleshmahalleh

Z Lyu

M Wang

J Tang

...

2023/3/10

Graph Convolutional Networks with Feature Enhancement for Choroidal Neovascularization Segmentation in OCT Images

Xiaoming Liu

Rui Wang

Jinshan Tang

2023/10/1

Minimal key set of binary key-derivation tree in cloud storage

Soft Computing

Zhengwei Ren

Xiaojuan Li

Lina Wang

Shiwei Xu

Yan Tong

...

2023/1/1

Learning How to Detect Salient Objects in Nighttime Scenes

Journal of Scientific & Industrial Research

Nan Mu

Jinjia Guo

Jinshan Tang

2023/3/2

Weakly Semi-supervised object detection with point annotations in Retinal OCT images

Xiaoming Liu

Xin Zhu

Jinshan Tang

2023/10/1

TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images

Computers in Biology and Medicine

Xiaoming Liu

Qi Liu

Ying Zhang

Man Wang

Jinshan Tang

2023/2/1

Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical Images

IEEE Transactions on Emerging Topics in Computational Intelligence

Xiaoming Liu

Jingling Pan

Xiao Li

Xiangkai Wei

Zhipeng Liu

...

2023/7/26

An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms

Medical image analysis

Nan Mu

Zonghan Lyu

Mostafa Rezaeitaleshmahalleh

Jinshan Tang

Jingfeng Jiang

2023/2/1

ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation

Complex & Intelligent Systems

Chen Zhao

Joyce H Keyak

Jinshan Tang

Tadashi S Kaneko

Sundeep Khosla

...

2023/6

Semi-supervised contrast learning-based segmentation of choroidal vessel in optical coherence tomography images

Physics in Medicine & Biology

Xiaoming Liu

Jingling Pan

Ying Zhang

Xiao Li

Jinshan Tang

2023/12/8

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms

Technology and Health Care

Yinghui Meng

Zhenglong Du

Chen Zhao

Minghao Dong

Drew Pienta

...

2023

Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA images

Biomedical Signal Processing and Control

Xiaoming Liu

Di Zhang

Junping Yao

Jinshan Tang

2023/5/1

ViST: A Ubiquitous Model with Multimodal Fusion for Crop Growth Prediction

ACM Transactions on Sensor Networks

Junsheng Li

Ling Wang

Jie Liu

Jinshan Tang

2023/12/7

Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images

Pattern recognition

Xiaoming Liu

Quan Yuan

Yaozong Gao

Kelei He

Shuo Wang

...

2022/2/1

See List of Professors in Jinshan Tang University(Michigan Technological University)

Co-Authors

H-index: 59
Eli Peli

Eli Peli

Harvard University

H-index: 48
Scott T. Acton

Scott T. Acton

University of Virginia

H-index: 19
Weihua Zhou

Weihua Zhou

Michigan Technological University

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