Haomin Chen

Johns Hopkins University

H-index: 7

North America-United States

About Haomin Chen

Haomin Chen, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of computer vison, medical imaging.

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

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype

Direct gene expression profile prediction for uveal melanoma from digital cytopathology images via deep learning and salient image region identification

Toward automated interpretable AAST grading for blunt splenic injury

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow

A pilot study of deep learning-based CT volumetry for traumatic hemothorax

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

Predicting the Gene Expression Profile of Uveal Melanoma Fom Digital Cytopathology via Salient Image Region Identification

An interpretable Algorithm for uveal melanoma subtyping from whole slide cytology images

Haomin Chen Information

University	Johns Hopkins University
Position	Computer Science
Citations(all)	221
Citations(since 2020)	221
Cited By	34
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	6
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Johns Hopkins University
Google Scholar	View Google Scholar Profile

Haomin Chen Skills & Research Interests

computer vison

medical imaging

Top articles of Haomin Chen

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype

Emergency Radiology

2024/2/2

Mathias Unberath

H-Index: 17

Guang Li

H-Index: 1

Anjali Agrawal

H-Index: 4

Haomin Chen

H-Index: 2

Catalina Gómez Caballero

H-Index: 1

Direct gene expression profile prediction for uveal melanoma from digital cytopathology images via deep learning and salient image region identification

Ophthalmology Science

2023/3/1

Haomin Chen

H-Index: 2

Mathias Unberath

H-Index: 17

Toward automated interpretable AAST grading for blunt splenic injury

Emergency radiology

2023/2

Haomin Chen

H-Index: 2

Mathias Unberath

H-Index: 17

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow

Frontiers in Medicine

2023

Lei Zhang

H-Index: 20

Mathias Unberath

H-Index: 17

Haomin Chen

H-Index: 2

Guang Li

H-Index: 1

A pilot study of deep learning-based CT volumetry for traumatic hemothorax

Emergency radiology

2022/12

Chang Yan

H-Index: 7

Haomin Chen

H-Index: 2

Guang Li

H-Index: 1

Mathias Unberath

H-Index: 17

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

2022/10/19

Haomin Chen

H-Index: 2

Chien-Ming Huang

H-Index: 3

Mathias Unberath

H-Index: 17

Predicting the Gene Expression Profile of Uveal Melanoma Fom Digital Cytopathology via Salient Image Region Identification

Haomin and Gomez, Catalina and Correa, Zelia and Unberath, Mathias, Predicting the Gene Expression Profile of Uveal Melanoma Fom Digital Cytopathology via Salient Image Region Identification (11/8/2021)

2021/11/8