Radiologist and Assistant Profesor at Paris-Est Créteil University

Sebastien Mulé

Associate Professor the Faculty of Health, Université Paris-Est Créteil (UPEC)and Radiologist. He works in the medical imaging department of the Henri Mondor University Hospital.

With a dual background in engineering (École Nationale Supérieure de l'Électronique et de ses Applications) – medical, his research work focuses on functional and metabolic imaging of cancer, in particular primary liver cancers and hematological malignancies.

Publications of Sebastien Mulé

Mulé S, Lawrance L, Belkouchi Y, Vilgrain V, Lewin M, Trillaud H, Hoeffel C, Laurent V, Ammari S, Morand E, Faucoz O, Tenenhaus A, Cotten A, Meder JF, Talbot H, Luciani A, Lassau N. Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge. Diagn Interv Imaging. 2022 Oct 4:S2211-5684(22)00171-1. doi: 10.1016/j.diii.2022.09.005. Epub ahead of print. PMID: 36207277.

Durot C, Mulé S, Soyer P, Marchal A, Grange F, Hoeffel C. Metastatic melanoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with pembrolizumab. Eur Radiol. 2019 Jun;29(6):3183-3191. doi: 10.1007/s00330-018-5933-x. Epub 2019 Jan 15. PMID: 30645669.

Brenet Defour L, Mulé S, Tenenhaus A, Piardi T, Sommacale D, Hoeffel C, Thiéfin G. Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection. Eur Radiol. 2019 Mar;29(3):1231-1239. doi: 10.1007/s00330-018-5679-5. Epub 2018 Aug 29. PMID: 30159621.

Mulé S, Thiefin G, Costentin C, Durot C, Rahmouni A, Luciani A, Hoeffel C. Advanced Hepatocellular Carcinoma: Pretreatment Contrast-enhanced CT Texture Parameters as Predictive Biomarkers of Survival in Patients Treated with Sorafenib. Radiology. 2018 Aug;288(2):445-455. doi: 10.1148/radiol.2018171320. Epub 2018 Mar 27. PMID: 29584597.

SERIE of Sebastien Mulé

Artificial Intelligence applied to health

We will showcase different application fields, and different use cases to show where the Artificial can help identify subjects at risk of vulnerability.

› Read more