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Romane Gauriau

Showing results (1-10 of 6) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Multi-organ localization combining global-to-local regression and confidence mapsRomane Gauriau, Rémi Cuingnet, David Lesage, et al.
Medical Image Analysis|May 15, 2015
Multi-organ localization with cascaded global-to-local regression and shape priorRomane Gauriau, Rémi Cuingnet, David Lesage, et al.
Journal of Digital Imaging|January 18, 2020
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI DatasetsRomane Gauriau, Christopher Bridge, Lina Chen, et al.
Radiology. Artificial Intelligence|August 5, 2021
A Deep Learning-based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite ExperienceRomane Gauriau, Bernardo C Bizzo, Felipe C Kitamura, et al.
Scientific Reports|February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imagingChristopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Scientific Reports|January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimationRomane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Multi-organ localization combining global-to-local regression and confidence mapsRomane Gauriau, Rémi Cuingnet, David Lesage, et al.
Medical Image Analysis|May 15, 2015
Multi-organ localization with cascaded global-to-local regression and shape priorRomane Gauriau, Rémi Cuingnet, David Lesage, et al.
Journal of Digital Imaging|January 18, 2020
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI DatasetsRomane Gauriau, Christopher Bridge, Lina Chen, et al.
Radiology. Artificial Intelligence|August 5, 2021
A Deep Learning-based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite ExperienceRomane Gauriau, Bernardo C Bizzo, Felipe C Kitamura, et al.
Scientific Reports|February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imagingChristopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Scientific Reports|January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimationRomane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
Pageof 1