Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
2020 · npj Digital Medicine · 132 citations
https://doi.org/10.1038/s41746-020-0255-1
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Ken Chang
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Ken Chang is an academic researcher from Massachusetts General Hospital. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Glioma Diagnosis and Treatment & AI in cancer detection. The author has an h-index of 39, co-authored 124 publications.
ORCID: 0000-0001-6956-5059Papers by this author
worksDeep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors
2021 · Neuro-Oncology · 70 citations
https://doi.org/10.1093/neuonc/noab151
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
2021 · European Radiology · 69 citations
https://doi.org/10.1007/s00330-021-08049-8
Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence
2022 · Ophthalmology Science · 44 citations
https://doi.org/10.1016/j.xops.2022.100126
Federated Learning for Multicenter Collaboration in Ophthalmology
2022 · Ophthalmology Retina · 32 citations
https://doi.org/10.1016/j.oret.2022.03.005
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · Nature Communications · 5 citations
https://doi.org/10.1038/s41467-025-60466-1
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