3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri. - Léo Milecki; Sylvain Bodard; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (ISBI, 2021)

A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy. - Léo Milecki; Jonathan Porée; Hatim Belgharbi; Chloé Bourquin; Rafat Damseh; Patrick Delafontaine-Martel; Frédéric Lesage; Maxime Gasse; Jean Provost (IEEE Trans. Medical Imaging, 2021)

Contrastive Masked Transformers for Forecasting Renal Transplant Function. - Léo Milecki; Vicky Kalogeiton; Sylvain Bodard; Dany Anglicheau; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (MICCAI (8), 2022)

MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning. - Léo Milecki; Vicky Kalogeiton; Sylvain Bodard; Dany Anglicheau; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (MIDL, 2023)

MEDIMP: Medical Images and Prompts for renal transplant representation learning. - Léo Milecki; Vicky Kalogeiton; Sylvain Bodard; Dany Anglicheau; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (CoRR, 2023)

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. - Julie Mordacq; Léo Milecki; Maria Vakalopoulou; Steve Oudot; Vicky Kalogeiton (MIDL, 2024)

Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. - Heejong Kim; Léo Milecki; Mina C. Moghadam; Fengbei Liu; Minh Nguyen 002; Eric Qiu; Abhishek Thanki; Mert R. Sabuncu (CoRR, 2024)

Representation learning of multimodal and longitudinal data for renal transplantation monitoring. (Apprentissage de représentations de données multimodales et longitudinales pour le suivi de la transplantation rénale). - Léo Milecki (2024)