| 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 | 131 | 2022 |
| 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 | 65 | 2019 |
| 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 | 40 | 2020 |
| 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 | 28 | 2020 |
| Toward automated interpretable AAST grading for blunt splenic injury H Chen, M Unberath, D Dreizin Emergency radiology 30 (1), 41-50, 2023 | 19 | 2023 |
| 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 | 19 | 2020 |
| 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 | 17 | 2022 |
| 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 | 7 | 2023 |
| 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 | 6 | 2023 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 1 | 2024 |
| 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 | 1 | 2021 |
| 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 |
