Multiple Myeloma Prognosis From PET Images: Deep Survival Losses and Contrastive Pretraining-Reference-Cited by-同舟云学术

Multiple Myeloma Prognosis From PET Images: Deep Survival Losses and Contrastive Pretraining

Published:2023-09 Issue:7 Volume:7 Page:732-741
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Morvan Ludivine¹^ORCID,Nanni Cristina²,Michaud Anne-Victoire³,Jamet Bastien³,Bailly Clément³^ORCID,Bodet-Milin Caroline³,Chauvie Stephane⁴,Touzeau Cyrille³,Moreau Philippe³,Zamagni Elena⁵,Kraeber-Bodéré Francoise³,Carlier Thomas³^ORCID,Mateus Diana¹^ORCID

Affiliation:

1. ECN, Ls2n, Nantes, France

2. Nuclear Medicine, AOU Policlinico S. Orsola-Malpighi, Bologna, Italy

3. Department of Nuclear Medicine, University Hospital Centre Nantes, Nantes, France

4. Medical Physics Division, Santa Croce e Carle Hospital, Cuneo, Italy

5. Seragnoli Institute of Hematology, Bologna University School of Medicine, Bologna, Italy

Funder

FEDER, the Pays de la Loire region on the Connect Talent MILCOM Programme (Multi- Modal Imaging and Learning for Computational-Based Medicine), Nantes

French National Research Agency called “Investissements d’Avenir”

Grant Labex

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/7433213/10237331/10153937.pdf?arnumber=10153937

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5. Prédiction de la progression du myélome multiple par imagerie TEP: Adaptation des for&ehat;ts de survie aléatoires et de réseaux de neurones convolutionnels;morvan,2021