A survey on deep learning in medical image analysis
2017 · Medical Image Analysis · 14K citations
https://doi.org/10.1016/j.media.2017.07.005
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Francesco Ciompi
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Francesco Ciompi is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Digital Imaging for Blood Diseases. The author has an h-index of 38, co-authored 165 publications.
ORCID: 0000-0001-8327-9606Papers by this author
worksPulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
2016 · IEEE Transactions on Medical Imaging · 1,216 citations
https://doi.org/10.1109/tmi.2016.2536809
Deep learning in histopathology: the path to the clinic
2021 · Nature Medicine · 821 citations
https://doi.org/10.1038/s41591-021-01343-4
The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
2021 · npj Breast Cancer · 257 citations
https://doi.org/10.1038/s41523-021-00346-1
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
2020 · npj Breast Cancer · 198 citations
https://doi.org/10.1038/s41523-020-0156-0
Learning to detect lymphocytes in immunohistochemistry with deep learning
2019 · Medical Image Analysis · 163 citations
https://doi.org/10.1016/j.media.2019.101547
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