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Romane Gauriau
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2020 – today
- 2023
- [j3]Matthew A. Haber, Giorgio Pietro Biondetti, Romane Gauriau, Donnella S. Comeau, John K. Chin, Bernardo C. Bizzo, Julia Strout, Alexandra J. Golby, Katherine P. Andriole:
Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network. Neural Comput. Appl. 35(13): 9907-9915 (2023) - 2022
- [i5]Ying Xu, Romane Gauriau, Anna Decker, Jacob Oppenheim:
Phenotype Detection in Real World Data via Online MixEHR Algorithm. CoRR abs/2211.07549 (2022) - [i4]David A. Bloore, Romane Gauriau, Anna L. Decker, Jacob Oppenheim:
Semantic Decomposition Improves Learning of Large Language Models on EHR Data. CoRR abs/2212.06040 (2022) - 2020
- [j2]Romane Gauriau, Christopher P. Bridge, Lina Chen, Felipe Kitamura, Neil A. Tenenholtz, John E. Kirsch, Katherine P. Andriole, Mark H. Michalski, Bernardo C. Bizzo:
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. J. Digit. Imaging 33(3): 747-762 (2020) - [i3]Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole:
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems. CoRR abs/2003.07678 (2020) - [i2]Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole:
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. CoRR abs/2008.08525 (2020)
2010 – 2019
- 2019
- [i1]Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher P. Bridge, Ram C. Naidu, Katherine P. Andriole:
Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports. CoRR abs/1910.13573 (2019) - 2015
- [b1]Romane Gauriau:
Shape-based approaches for fast multi-organ localization and segmentation in 3D medical images. (Méthodes multi-organes rapides avec a priori de forme pour la localisation et la segmentation en imagerie médicale 3D). Télécom ParisTech, France, 2015 - [j1]Romane Gauriau, Rémi Cuingnet, David Lesage, Isabelle Bloch:
Multi-organ localization with cascaded global-to-local regression and shape prior. Medical Image Anal. 23(1): 70-83 (2015) - [c4]Romane Gauriau, Roberto Ardori, David Lesage, Isabelle Bloch:
Multiple template deformation application to abdominal organ segmentation. ISBI 2015: 359-362 - [c3]Romane Gauriau, David Lesage, Mélanie Chiaradia, Baptiste Morel, Isabelle Bloch:
Interactive Multi-organ Segmentation Based on Multiple Template Deformation. MICCAI (3) 2015: 55-62 - 2014
- [c2]Romane Gauriau, Rémi Cuingnet, David Lesage, Isabelle Bloch:
Multi-organ Localization Combining Global-to-Local Regression and Confidence Maps. MICCAI (3) 2014: 337-344 - 2013
- [c1]Romane Gauriau, Rémi Cuingnet, Raphael Prevost, Benoit Mory, Roberto Ardon, David Lesage, Isabelle Bloch:
A Generic, Robust and Fully-Automatic Workflow for 3D CT Liver Segmentation. Abdominal Imaging 2013: 241-250
Coauthor Index
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