Vakalopoulou, Maria

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

Demystification of AI-driven medical image interpretation: past, present and future

Savadjiev, P., Chong, J., Dohan, A., Vakalopoulou, M., Reinhold, C., Paragios, N., & Gallix, B. (2019) · European Radiology

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

Cited by 161

Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells

Sun, R., Sundahl, N., Hecht, M., Putz, F., Lancia, A., Rouyar, A., Milic, M., Carré, A., Battistella, E., Alvarez Andres, E., et al. (2020) · Journal for ImmunoTherapy of Cancer

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 94

Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer Patients

Vigneron, C., Laousy, O., Chassagnon, G., Vakalopoulou, M., Charpentier, J., Alexandre, J., Jamme, M., & Pène, F. (2022) · Cancers

Nutrition and Health in AgingClinical Nutrition and Gastroenterology

Cited by 7