Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Théodore Soulier"'
Autor:
Arya Yazdan-Panah, Benedetta Bodini, Théodore Soulier, Mattia Veronese, Michel Bottlaender, Matteo Tonietto, Bruno Stankoff
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Background Exploring the relationship between oxygen supply and myelin damage would benefit from a simultaneous quantification of myelin and cerebral blood flow (CBF) in the brain’s white matter (WM). To validate an analytical method for q
Externí odkaz:
https://doaj.org/article/e96e6f0e231b40a5a93af76c873b4c2d
Autor:
Arya Yazdan-Panah, Marius Schmidt-Mengin, Vito A.G. Ricigliano, Théodore Soulier, Bruno Stankoff, Olivier Colliot
Publikováno v:
NeuroImage: Clinical, Vol 38, Iss , Pp 103368- (2023)
Choroid Plexuses (ChP) are structures located in the ventricles that produce the cerebrospinal fluid (CSF) in the central nervous system. They are also a key component of the blood-CSF barrier. Recent studies have described clinically relevant ChP vo
Externí odkaz:
https://doaj.org/article/038188922ff547d0b3f10f6336fd8513
Autor:
Marius Schmidt-Mengin, Théodore Soulier, Mariem Hamzaoui, Arya Yazdan-Panah, Benedetta Bodini, Nicholas Ayache, Bruno Stankoff, Olivier Colliot
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Detecting new lesions is a key aspect of the radiological follow-up of patients with Multiple Sclerosis (MS), leading to eventual changes in their therapeutics. This paper presents our contribution to the MSSEG-2 MICCAI 2021 challenge. The challenge
Externí odkaz:
https://doaj.org/article/4188808078224472869c9dc3b5f4af2a
Autor:
Mariem Hamzaoui, Théodore Soulier, Arya Yazdan-Panah, Marius Schmidt- Mengin, Olivier Colliot, Nicholas Ayache, Bruno Stankoff
Publikováno v:
MICCAI 2021 MSSEG2-24th International Conference on Medical Image Computing and Computer Assisted Intervention-Challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2
MICCAI 2021 MSSEG2-24th International Conference on Medical Image Computing and Computer Assisted Intervention-Challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, Sep 2021, Strasbourg, France
HAL
MICCAI 2021 MSSEG2-24th International Conference on Medical Image Computing and Computer Assisted Intervention-Challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, Sep 2021, Strasbourg, France
HAL
International audience; Detecting new lesions is a key aspect of the radiological follow-up of patients with Multiple Sclerosis (MS), leading to eventual changes in their therapeutics. Our pipeline for new lesion detection based on two consecutive FL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::57e9a8b60f60026faf324917eeaefbec
https://hal.science/hal-03826791
https://hal.science/hal-03826791
Autor:
Marius Schmidt-Mengin, Arya Yazdan-Panah, Théodore Soulier, Mariem Hamzaoui, Nicholas Ayache, Olivier Colliot
Publikováno v:
MICCAI-MSSEG-2-25th International Conference on Medical Image Computing and Computer Assisted Intervention-challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure
MICCAI-MSSEG-2-25th International Conference on Medical Image Computing and Computer Assisted Intervention-challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure, Sep 2021, Strasbourg, France
HAL
MICCAI-MSSEG-2-25th International Conference on Medical Image Computing and Computer Assisted Intervention-challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure, Sep 2021, Strasbourg, France
HAL
International audience; This paper summarizes our contribution to the MSSEG-II MICCAI 2021 challenge. The aim is to segment new multiple sclerosis (MS) lesions using pairs of FLAIR MR images. Our approach is based on a 3D U-Net applied patch-wise to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ec81d782e590c35019bd12873785556f
https://hal.science/hal-03826787
https://hal.science/hal-03826787