Ludivine Morvan

Articles

Article: JMIR FORMATIVE RESEARCH. 2023;7:e45979
A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
Persson I; Grunwald A; Morvan L; Becedas D; Arlbrandt M
Journal article: IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES. 2023;7(7):732-741
Multiple Myeloma Prognosis From PET Images: Deep Survival Losses and Contrastive Pretraining
Morvan L; Nanni C; Michaud A-V; Jamet B; Bailly C; Bodet-Milin C; Chauvie S; Touzeau C; Moreau P; Zamagni E; Kraeber-Bodere F; Carlier T; Mateus D
Article: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2021;48(4):1005-1015
Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including FDG-PET radiomics: a combined analysis of two independent prospective European trials.
Jamet B; Morvan L; Nanni C; Michaud A-V; Bailly C; Chauvie S; Moreau P; Touzeau C; Zamagni E; Bodet-Milin C; Kraeber-Bodéré F; Mateus D; Carlier T
Journal article: NUKLEARMEDIZIN-NUCLEAR MEDICINE. 2019;43(2):193
Prédiction de la progression chez des patients atteints de myélome multiple avec des Random Survival Forest
Morvan L; Mateus D; Bailly C; Jamet B; Milin CB; Bodéré FK; Moreau P; Touzeau C; Carlier T

Bioinformatics/Data scientist, FINGERS Brain Health Institute (FBHI), 2025-
Affiliated to Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 2025-2028
Senior Research/Data Scientist, Disease and personalised treatment prediction, AlgoDX, 2022-2025

PhD, Machine learning, Image Processing, Prediction of multiple myeloma progression by PET imaging: adaptation of random survival forests and convolutional neural networks, École Centrale de Nantes, 2021
Master, Biomedical and Health engineering, Institut Supérieur des Bio-Sciences de Paris - ISBS, 2018