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Ludivine Morvan
Ludivine Morvan
Senior Research Scientist, AlgoDx
Verified email at algodx.com
Title
Cited by
Cited by
Year
Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including FDG-PET radiomics: a combined analysis of two independent prospective …
B Jamet, L Morvan, C Nanni, AV Michaud, C Bailly, S Chauvie, P Moreau, ...
European journal of nuclear medicine and molecular imaging 48, 1005-1015, 2021
452021
Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis
L Morvan, T Carlier, B Jamet, C Bailly, C Bodet-Milin, P Moreau, ...
International Journal of Computer Assisted Radiology and Surgery 15, 129-139, 2020
342020
Learned deep radiomics for survival analysis with attention
L Morvan, C Nanni, AV Michaud, B Jamet, C Bailly, C Bodet-Milin, ...
Predictive Intelligence in Medicine: Third International Workshop, PRIME …, 2020
62020
Prédiction de la progression du myélome multiple par imagerie TEP: Adaptation des forêts de survie aléatoires et de réseaux de neurones convolutionnels
L Morvan
École centrale de Nantes, 2021
12021
A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
I Persson, A Grünwald, L Morvan, D Becedas, M Arlbrandt
JMIR Formative Research 7 (1), e45979, 2023
2023
Multiple myeloma prognosis from PET images: deep survival losses and contrastive pre-training
L Morvan, C Nanni, AV Michaud, B Jamet, C Bailly, C Bodet-Milin, ...
IEEE Transactions on Radiation and Plasma Medical Sciences, 2023
2023
The Limitations of Deep Learning: A Focus on Survival Analysis with PET Images.
L Morvan, T Carlier, D Mateus
4th Nuclear Technologies for Health Symposium (NTHS 2020), 2020
2020
Leveraging Random Survival Forest (RSF) and PET images for prognosis of Multiple Myeloma at diagnosis
L Morvan, T Carlier, C Bailly, B Jamet, CM Bodet-Milin, P Moreau, ...
International Conference on Information Processing in Computer-Assisted …, 2019
2019
Prédiction de la progression chez des patients atteints de myélome multiple par" Random Survival Forest"
L Morvan, D Mateus, C Bailly, B Jamet, C Bode-Milin, P Moreau, ...
SFMN, 2019
2019
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