Within-exam automatic brain segmentation for accurate and reproducible geometry planning - An open-source tool, illustrated for MRS volume selection

Authors

Aurélien Delphin (ORCID: https://orcid.org/0000-0001-8478-3660)
Pietras Johan
Gourieux Emmanuelle
Miquel Lucie
Lamalle Laurent
Chéchin David

Institutions

Centre National de la Recherche Scientifique (FR)
Laboratoire de Psychologie et NeuroCognition (FR)
Laboratoire Rhéologie et Procédés (FR)
Grenoble Institute of Neurosciences (FR)
Philips (France) (FR)
GRICAD - Grenoble Alpes Recherche-Infrastructure de Calcul intensif et de Données (FR)
Université Grenoble Alpes (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2024-10-02
Primary Topic: Medical Image Segmentation Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Agence Nationale de la Recherche

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article

Within-exam automatic brain segmentation for accurate and reproducible geometry planning - An open-source tool, illustrated for MRS volume selection

Aurélien Delphin, Pietras Johan, Gourieux Emmanuelle, Miquel Lucie et al.

Oct 2, 2024

SPIRE - Sciences Po Institutional REpository

Medical Image Segmentation Techniques

article

Within-exam automatic brain segmentation for accurate and reproducible geometry planning - An open-source tool, illustrated for MRS volume selection

Aurélien Delphin, Pietras Johan, Gourieux Emmanuelle, Miquel Lucie, Lamalle Laurent, Chéchin David

October 2, 2024article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Centre National de la Recherche Scientifique (FR), Laboratoire de Psychologie et NeuroCognition (FR), Laboratoire Rhéologie et Procédés (FR), Grenoble Institute of Neurosciences (FR), Philips (France) (FR), GRICAD - Grenoble Alpes Recherche-Infrastructure de Calcul intensif et de Données (FR), Université Grenoble Alpes (FR)

Agence Nationale de la Recherche

Openalex Percentile: Top 83%

Medical Image Segmentation Techniques

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