Search Results - "Banaste, N"

Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment by Blanc-Durand, P., Schiratti, J.-B., Schutte, K., Jehanno, P., Herent, P., Pigneur, F., Lucidarme, O., Benaceur, Y., Sadate, A., Luciani, A., Ernst, O., Rouchaud, A., Creze, M., Dallongeville, A., Banaste, N., Cadi, M., Bousaid, I., Lassau, N., Jegou, S.

“…The purpose of this study was to build and train a deep convolutional neural networks (CNN) algorithm to segment muscular body mass (MBM) to predict muscular…”
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Proof-of-concept study evaluating a new tool for standardising radiological assessment of tumour response to treatment in routine clinical practice by Mastier, C., de la Fouchardière, C., Fayette, J., Sarabi, M., Heudel, P., Coulon, A., Banaste, N., Mercier-Bischoff, E., Barma, M., Brahmi, M., Cassier, P., Couchon Thaunat, S., Eberst, L., Fournier-Garin, G., Metral, P., Pilleul, F., Blay, J.-Y.

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Three artificial intelligence data challenges based on CT and MRI by Lassau, N., Bousaid, I., Chouzenoux, E., Lamarque, J.P., Charmettant, B., Azoulay, M., Cotton, F., Khalil, A., Lucidarme, O., Pigneur, F., Benaceur, Y., Sadate, A., Lederlin, M., Laurent, F., Chassagnon, G., Ernst, O., Ferreti, G., Diascorn, Y., Brillet, P.Y., Creze, M., Cassagnes, L., Caramella, C., Loubet, A., Dallongeville, A., Abassebay, N., Ohana, M., Banaste, N., Cadi, M., Behr, J., Boussel, L., Fournier, L., Zins, M., Beregi, J.P., Luciani, A., Cotten, A., Meder, J.F.

“…•Three data challenges with over 1200 general data protection regulation compliant examinations each were organized.•For the Multiple Sclerosis Challenge on 3D…”
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1347TiPProof-of-concept study evaluating a new tool for standardising radiological assessment of tumour response to treatment in routine clinical practice by Mastier, C, de la Fouchardière, C, Fayette, J, Sarabi, M, Heudel, P, Coulon, A, Banaste, N, Mercier-Bischoff, E, Barma, M, Brahmi, M, Cassier, P, Couchon Thaunat, S, Eberst, L, Fournier-Garin, G, Metral, P, Pilleul, F, Blay, J-Y

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