| Multi-organ localization with cascaded global-to-local regression and shape prior R Gauriau, R Cuingnet, D Lesage, I Bloch Medical image analysis 23 (1), 70-83, 2015 | 67 | 2015 |
| Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets R Gauriau, C Bridge, L Chen, F Kitamura, NA Tenenholtz, JE Kirsch, ... Journal of digital imaging 33, 747-762, 2020 | 24 | 2020 |
| Multi-organ localization combining global-to-local regression and confidence maps R Gauriau, R Cuingnet, D Lesage, I Bloch Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 23 | 2014 |
| A generic, robust and fully-automatic workflow for 3D CT liver segmentation R Gauriau, R Cuingnet, R Prevost, B Mory, R Ardon, D Lesage, I Bloch Abdominal Imaging. Computation and Clinical Applications: 5th International …, 2013 | 21 | 2013 |
| Multiple template deformation application to abdominal organ segmentation R Gauriau, R Ardori, D Lesage, I Bloch 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 359-362, 2015 | 15 | 2015 |
| A deep learning–based model for detecting abnormalities on brain MR images for triaging: preliminary results from a multisite experience R Gauriau, BC Bizzo, FC Kitamura, O Landi Junior, SF Ferraciolli, ... Radiology: Artificial Intelligence 3 (4), e200184, 2021 | 9 | 2021 |
| Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging CP Bridge, BC Bizzo, JM Hillis, JK Chin, DS Comeau, R Gauriau, ... Scientific Reports 12 (1), 2154, 2022 | 5 | 2022 |
| Name that manufacturer GP Biondetti, R Gauriau, CP Bridge, C Lu, KP Andriole Relating image acquisition bias with task complexity when training deep …, 2020 | 5 | 2020 |
| Medical reporting apparatus VMA Auvray, RIM Gauriau, R Florent US Patent 11,545,252, 2023 | 3 | 2023 |
| Interactive multi-organ segmentation based on multiple template deformation R Gauriau, D Lesage, M Chiaradia, B Morel, I Bloch Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 3 | 2015 |
| An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems C Lu, J Strout, R Gauriau, B Wright, FBDC Marcruz, V Buch, K Andriole arXiv preprint arXiv:2003.07678, 2020 | 2 | 2020 |
| Shape-based approaches for fast multi-organ localization and segmentation in 3D medical images R Gauriau Telecom ParisTech, 2015 | 2 | 2015 |
| Head CT deep learning model is highly accurate for early infarct estimation R Gauriau, BC Bizzo, DS Comeau, JM Hillis, CP Bridge, JK Chin, J Pawar, ... Scientific Reports 13 (1), 189, 2023 | 1 | 2023 |
| Synthetic representation of a vascular structure VMA Auvray, RIM Gauriau, R Florent, A Groth, J Weese US Patent 10,825,257, 2020 | 1 | 2020 |
| Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports N Deshmukh, S Gumustop, R Gauriau, V Buch, B Wright, C Bridge, ... arXiv preprint arXiv:1910.13573, 2019 | 1 | 2019 |
| Segmentation du corps calleux: un outil pronostique des pathologies inflammatoires cérébrales? R Gauriau, B Husson, K Deva, I Bloch, C Adamsbaum Journées Françaises de Radiologie, 2013 | 1 | 2013 |
| Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network MA Haber, GP Biondetti, R Gauriau, DS Comeau, JK Chin, BC Bizzo, ... Neural Computing and Applications 35 (13), 9907-9915, 2023 | | 2023 |
| Information retrieval apparatus RJ Weese, A Groth, T Wekel, VMA Auvray, R Florent, RIM Gauriau US Patent 11,593,691, 2023 | | 2023 |
| Enhanced physician performance when using an artificial intelligence model to detect ischemic stroke on computed tomography JM Hillis, BC Bizzo, R Gauriau, CP Bridge, JK Chin, B Hakamy, ... medRxiv, 2023.01. 16.23284632, 2023 | | 2023 |
| Semantic Decomposition Improves Learning of Large Language Models on EHR Data DA Bloore, R Gauriau, AL Decker, J Oppenheim arXiv preprint arXiv:2212.06040, 2022 | | 2022 |
