Follow
Haomin Chen
Haomin Chen
Computer Science, Johns Hopkins University
Verified email at jhu.edu
Title
Cited by
Cited by
Year
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
H Chen, C Gomez, CM Huang, M Unberath
NPJ digital medicine 5 (1), 156, 2022
1592022
Deep hierarchical multi-label classification of chest X-ray images
H Chen, S Miao, D Xu, GD Hager, AP Harrison
International conference on medical imaging with deep learning, 109-120, 2019
662019
Anatomy-aware siamese network: Exploiting semantic asymmetry for accurate pelvic fracture detection in x-ray images
H Chen, Y Wang, K Zheng, W Li, CT Chang, AP Harrison, J Xiao, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
412020
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies
H Chen, S Miao, D Xu, GD Hager, AP Harrison
Medical image analysis 66, 101811, 2020
312020
Toward automated interpretable AAST grading for blunt splenic injury
H Chen, M Unberath, D Dreizin
Emergency radiology 30 (1), 41-50, 2023
202023
Gene expression profile prediction in uveal melanoma using deep learning: a pilot study for the development of an alternative survival prediction tool
TYA Liu, H Zhu, H Chen, JF Arevalo, FK Hui, HY Paul, J Wei, M Unberath, ...
Ophthalmology Retina 4 (12), 1213-1215, 2020
202020
A pilot study of deep learning-based CT volumetry for traumatic hemothorax
D Dreizin, B Nixon, J Hu, B Albert, C Yan, G Yang, H Chen, Y Liang, ...
Emergency radiology 29 (6), 995-1002, 2022
192022
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow
L Zhang, W LaBelle, M Unberath, H Chen, J Hu, G Li, D Dreizin
Frontiers in Medicine 10, 1241570, 2023
82023
Direct gene expression profile prediction for uveal melanoma from digital cytopathology images via deep learning and salient image region identification
TYA Liu, H Chen, C Gomez, ZM Correa, M Unberath
Ophthalmology science 3 (1), 100240, 2023
82023
An interactive approach to region of interest selection in cytologic analysis of uveal melanoma based on unsupervised clustering
H Chen, TYA Liu, Z Correa, M Unberath
Ophthalmic Medical Image Analysis: 7th International Workshop, OMIA 2020 …, 2020
62020
An interpretable Algorithm for uveal melanoma subtyping from whole slide cytology images
H Chen, TY Liu, C Gomez, Z Correa, M Unberath
arXiv preprint arXiv:2108.06246, 2021
52021
An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype
N Sarkar, M Kumagai, S Meyr, S Pothapragada, M Unberath, G Li, ...
Emergency Radiology 31 (2), 167-178, 2024
22024
Predicting the Gene Expression Profile of Uveal Melanoma Fom Digital Cytopathology via Salient Image Region Identification
TY Liu, H Chen, C Gomez, Z Correa, M Unberath
Haomin and Gomez, Catalina and Correa, Zelia and Unberath, Mathias …, 2021
12021
Direct Prediction of 48 Month Survival Status in Patients with Uveal Melanoma Using Deep Learning and Digital Cytopathology Images
TYA Liu, H Chen, ND Koseoglu, A Kolchinski, M Unberath, ZM Correa
Cancers 17 (2), 230, 2025
2025
Interpretable Severity Scoring of Pelvic Trauma Through Automated Fracture Detection and Bayesian Inference
H Chen, D Dreizin, C Gomez, A Zapaishchykova, M Unberath
IEEE transactions on medical imaging, 2024
2024
Predicting 48-month survival status in patients with uveal melanoma using deep learning
A Kolchinski, H Chen, M Unberath, ZM Correa, A Liu
Investigative Ophthalmology & Visual Science 65 (7), 2238-2238, 2024
2024
Towards Interpretable Machine Learning in Medical Image Analysis
H Chen
Johns Hopkins University, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–17