AI recognition of patient race in medical imaging: a modelling study
2022 · The Lancet Digital Health · 462 citations
https://doi.org/10.1016/s2589-7500(22)00063-2
I
Imon Banerjee
Emory University(US)
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Imon Banerjee is an academic researcher from Emory University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Machine Learning in Healthcare. The author has an h-index of 33, co-authored 288 publications.
ORCID: 0000-0002-3327-8004Papers by this author
worksComparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
2018 · Artificial Intelligence in Medicine · 266 citations
https://doi.org/10.1016/j.artmed.2018.11.004
AI pitfalls and what not to do: mitigating bias in AI
2023 · British Journal of Radiology · 207 citations
https://doi.org/10.1259/bjr.20230023
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
Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research
2023 · Neuromethods · 159 citations
https://doi.org/10.1007/978-1-0716-3195-9_4
Optimizing risk-based breast cancer screening policies with reinforcement learning
2022 · Nature Medicine · 96 citations
https://doi.org/10.1038/s41591-021-01599-w
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