SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI

Ami Tsuchida, Martin Goubet, Philippe Boutinaud, Iana Astafeva, Victor Nozais, Pierre-Yves Hervé, Thomas Tourdias, Stéphanie Debette, Marc Joliot
Sci Rep. 2024-12-28; 14(1):
DOI: 10.1038/s41598-024-81870-5


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https://www.bordeaux-neurocampus.fr/12340

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1. Sci Rep. 2024 Dec 28;14(1):30901. doi: 10.1038/s41598-024-81870-5.

SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool
trained on multi-source T2*GRE- and susceptibility-weighted MRI.

Tsuchida A(1)(2), Goubet M(3), Boutinaud P(4), Astafeva I(1)(2), Nozais V(4),
Hervé PY(4), Tourdias T(5)(6), Debette S(2), Joliot M(7).

Author information:
(1)GIN, IMN-UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France.
(2)BPH-U1219, INSERM, Université de Bordeaux, Bordeaux, France.
(3)CHU de Clermont-Ferrand, Clermont-Ferrand, France.
(4)Fealinx, Lyon, France.
(5)Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux,
France.
(6)Neurocentre Magendie-U1219, INSERM, Université de Bordeaux, Bordeaux, France.
(7)GIN, IMN-UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France.
.

Auteurs Bordeaux Neurocampus