A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction
2019 · Radiology · 694 citations
https://doi.org/10.1148/radiol.2019182716
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Adam Yala
Berkeley College(US)
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Adam Yala is an academic researcher from Berkeley College. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Topic Modeling. The author has an h-index of 18, co-authored 57 publications.
ORCID: 0000-0001-9576-2590Papers by this author
worksToward robust mammography-based models for breast cancer risk
2021 · Science Translational Medicine · 244 citations
https://doi.org/10.1126/scitranslmed.aba4373
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model
2021 · Journal of Clinical Oncology · 173 citations
https://doi.org/10.1200/jco.21.01337
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
2016 · 139 citations
https://doi.org/10.18653/v1/d16-1261
Optimizing risk-based breast cancer screening policies with reinforcement learning
2022 · Nature Medicine · 96 citations
https://doi.org/10.1038/s41591-021-01599-w
ThermalCOVID19
2021 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.13296887
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