Segmentation of overlapping/aggregating nuclei cells in biological images. - Florence Cloppet; Arnaud Boucher (ICPR, 2008)

Visual Perception Driven Registration of Mammograms. - Arnaud Boucher; Florence Cloppet; Nicole Vincent; P. Jouve (ICPR, 2010)

Segmentation of complex nucleus configurations in biological images. - Florence Cloppet; Arnaud Boucher (Pattern Recognit. Lett., 2010)

Mammogram CAD, hybrid registration and iconic analysis. - Arnaud Boucher; Florence Cloppet; Nicole Vincent (Image Processing: Machine Vision Applications, 2013)

A pairwise image analysis with sparse decomposition. - Arnaud Boucher; Florence Cloppet; Nicole Vincent (Computer-Aided Diagnosis, 2013)

Recalage et analyse d'un couple d'images : application aux mammographies. (Registration and analysis of a pair of images : application to mammography). - Arnaud Boucher (2013)

Depth Camera to Improve Segmenting People in Indoor Environments - Real Time RGB-Depth Video Segmentation. - Arnaud Boucher; Olivier Martinot; Nicole Vincent (VISAPP (3), 2015)

Automatic measurement of the sinus of Valsalva by image analysis. - Fabrice Mairesse; Cédric Blanchard; Arnaud Boucher; Tadeusz Sliwa; Alain Lalande; Yvon Voisin (Comput. Methods Programs Biomed., 2017)

A deep learning approach for the segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (ICPR, 2020)

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (IPTA, 2020)

Efficient 3D Deep Learning for Myocardial Diseases Segmentation. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Calibration of spatial distribution of light sources in reflectance transformation imaging based on adaptive local density estimation. - Yuly Emilia Castro; Marvin Nurit; Gilles Pitard; Abir Zendagui; Gaëtan Le Goïc; Vincent Brost; Arnaud Boucher; Alamin Mansouri; Anthony Pamart; Livio De Luca (J. Electronic Imaging, 2020)

Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies. - Diana Marín-Castrillón; Arnaud Boucher; Siyu Lin; Chloé Bernard; Marie-Catherine Morgant; Alexandre Cochet; Alain Lalande; Olivier Bouchot; Benoit Presles (STACOM@MICCAI, 2021)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net). - Khawla Brahim; Tewodros Weldebirhan Arega; Arnaud Boucher; Stéphanie Bricq; Anis Sakly; Fabrice Mériaudeau (Sensors, 2022)

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. - Armando Barrera-Naranjo; Diana Marcela Marín Castrillón; Thomas Decourselle; Siyu Lin; Sarah Leclerc; Marie-Catherine Morgant; Chloé Bernard; Shirley De Oliveira; Arnaud Boucher; Benoit Presles; Olivier Bouchot; Jean-Joseph Christophe; et al. (J. Imaging, 2023)