Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
2019 · Nature Reviews Clinical Oncology · 1,472 citations
https://doi.org/10.1038/s41571-019-0252-y
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Kaustav Bera
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Kaustav Bera is an academic researcher from University Hospitals of Cleveland. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Lung Cancer Diagnosis and Treatment & AI in cancer detection. The author has an h-index of 32, co-authored 148 publications.
ORCID: 0000-0001-9831-6000Papers by this author
worksAssociation of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for<i>HER2 (ERBB2)</i>–Positive Breast Cancer
2019 · JAMA Network Open · 325 citations
https://doi.org/10.1001/jamanetworkopen.2019.2561
CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction
2020 · The Lancet Digital Health · 127 citations
https://doi.org/10.1016/s2589-7500(20)30002-9
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study
2020 · The Lancet Digital Health · 77 citations
https://doi.org/10.1016/s2589-7500(20)30225-9
Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation
2021 · npj Breast Cancer · 50 citations
https://doi.org/10.1038/s41523-021-00310-z
Dual energy imaging in cardiothoracic pathologies: A primer for radiologists and clinicians
2021 · European Journal of Radiology Open · 38 citations
https://doi.org/10.1016/j.ejro.2021.100324
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