Dercle, Laurent

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

Sun, R., Limkin, E. J., Vakalopoulou, M., Dercle, L., Champiat, S., Han, S. R., Verlingue, L., Brandao, D., Lancia, A., Ammari, S., et al. (2018) · The Lancet Oncology

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 1,236

Identification of non-small cell lung cancer sensitive to systemic cancer therapies using radiomics

Dercle, L., Fronheiser, M., Lu, L., Du, S., Hayes, W., Leung, D. K., Roy, A., Wilkerson, J., Guo, P., Fojo, A. T., et al. (2020) · Clinical Cancer Research

Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment

Cited by 177

Toward generalizability in the deployment of artificial intelligence in radiology: role of computation stress testing to overcome underspecification

Eche, T., Schwartz, L. H., Mokrane, F.-Z., & Dercle, L. (2021) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 163

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Lu, L., Dercle, L., Zhao, B., & Schwartz, L. H. (2021) · Nature Communications

Radiomics and Machine Learning in Medical ImagingColorectal Cancer Treatments and Studies

Cited by 104