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Diagnostics (Basel, Switzerland)|November 24, 2023
Recent Advances in the Field of Artificial Intelligence for Precision Medicine in Patients with a Diagnosis of Metastatic Cutaneous MelanomaHayley Higgins, Abanoub Nakhla, Andrew Lotfalla, et al.
Nature Communications|November 18, 2021
Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imagingLin Lu, Laurent Dercle, Binsheng Zhao, et al.
Radiology. Artificial Intelligence|December 6, 2021
Toward Generalizability in the Deployment of Artificial Intelligence in Radiology: Role of Computation Stress Testing to Overcome UnderspecificationThomas Eche, Lawrence H Schwartz, Fatima-Zohra Mokrane, et al.
Oncotarget|January 21, 2021
Toward radiomics for assessment of response to systemic therapies in lung cancerShawn Sun, Florent L Besson, Binsheng Zhao, et al.
Current Cancer Drug Targets|July 21, 2021
Spleen Glucose Metabolism on [18F]-FDG PET/CT for Cancer Drug Discovery and Development cannot be OverlookedRomain-David Seban, Shwe Synn, Izza Muneer, et al.
Breast (Edinburgh, Scotland)|September 20, 2025
Artificial intelligence and radiomics biomarkers for treatment response prediction in advanced HER2-negative breast cancerLaurent Dercle, Jeremy McGale, Binsheng Zhao, et al.
Scientific Data|November 20, 2024
Annotated test-retest dataset of lung cancer CT scan images reconstructed at multiple imaging parametersBinsheng Zhao, Laurent Dercle, Hao Yang, et al.
Journal of the National Cancer Institute|February 5, 2020
Radiomics Response Signature for Identification of Metastatic Colorectal Cancer Sensitive to Therapies Targeting EGFR PathwayLaurent Dercle, Lin Lu, Lawrence H Schwartz, et al.
Seminars in Oncology|August 1, 2022
Assessing Outcomes in NSCLC: Radiomic analysis, kinetic analysis and circulating tumor DNAAshray Maniar, Alexander Z Wei, Laurent Dercle, et al.
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