Min Shi

Min Shi

Washington University in St. Louis

H-index: 17

North America-United States

About Min Shi

Min Shi, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of Machine Learning, Medical Image Analysis, Equitable AI, AI for Healthcare, AI for Medicine.

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

FairCLIP: Harnessing Fairness in Vision-and-Language Learning

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

RNFLT2Vec: Artifact-Corrected Representation Learning for Retinal Nerve Fiber Layer Thickness Maps

A deep learning model for screening computed tomography imaging for thyroid eye disease and compressive optic neuropathy

Equitable deep learning for diabetic retinopathy detection using multi-dimensional retinal imaging with fair adaptive scaling: a retrospective study

Equitable Artificial Intelligence for Glaucoma Screening with Fair Identity Normalization

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling

Min Shi Information

University

Position

___

Citations(all)

938

Citations(since 2020)

884

Cited By

258

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Min Shi Skills & Research Interests

Machine Learning

Medical Image Analysis

Equitable AI

AI for Healthcare

AI for Medicine

Top articles of Min Shi

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

IEEE Transactions on Medical Imaging

2024/3/18

RNFLT2Vec: Artifact-Corrected Representation Learning for Retinal Nerve Fiber Layer Thickness Maps

Medical Image Analysis

2024/2/29

A deep learning model for screening computed tomography imaging for thyroid eye disease and compressive optic neuropathy

Ophthalmology Science

2024/1/1

Equitable deep learning for diabetic retinopathy detection using multi-dimensional retinal imaging with fair adaptive scaling: a retrospective study

medRxiv

2024/4

Equitable Artificial Intelligence for Glaucoma Screening with Fair Identity Normalization

medRxiv

2023

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

Translational Vision Science & Technology

2023/11/1

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling

arXiv preprint arXiv:2310.02492

2023/10/3

RatioVLP: Ambient Light Noise Evaluation and Suppression in the Visible Light Positioning System

IEEE Transactions on Mobile Computing

2023/9/12

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning

2023

A parallel deep learning-based code clone detection model

Journal of Parallel and Distributed Computing

2023/7/1

Jianxun Liu
Jianxun Liu

H-Index: 26

Min Shi
Min Shi

H-Index: 8

Artifact-tolerant clustering-guided contrastive embedding learning for ophthalmic images in glaucoma

IEEE Journal of Biomedical and Health Informatics

2023/6/22

A graph neural network-based clustering method for glaucoma detection from OCT scans considering uncertainties in the number of clusters

Investigative Ophthalmology & Visual Science

2023/6/20

Deep Learning Prediction of Visual Field Combining Optic Nerve Head and Macular Optical Coherence Tomography Scans

Investigative Ophthalmology & Visual Science

2023/6/20

Equitable deep learning for glaucoma progression forecasting

Investigative Ophthalmology & Visual Science

2023/6/1

Explainable Deep Learning Prediction of 10-2 Visual Field from 24-2 Visual Field Using Transformer

Investigative Ophthalmology & Visual Science

2023/6/1

DeepWiPos: A Deep learning-based Wireless Positioning Algorithm to Address Fingerprint Instability

IEEE Transactions on Vehicular Technology

2023/2/8

An artificial intelligence method for phenotyping of OCT scans using unsupervised and self-supervised deep learning

bioRxiv

2023

Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer

IEEE Internet of Things Journal

2022/12/13

SPiForest: Anomaly Detecting Algorithm with Space Partition constructed By Probability Density-based Inverse Sampling

IEEE Transactions on Neural Networks and Learning Systems

2022/11

See List of Professors in Min Shi University(Washington University in St. Louis)

Co-Authors

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