The Presupplementary Area Within the Language Network: A Resting State Functional Magnetic Resonance Imaging Functional Connectivity Analysis. - Aram Ter Minassian; Emmanuel Ricalens; Sylvie Nguyen The Tich; Mickaël Dinomais; Christophe Aubé; Laurent Beydon (Brain Connect., 2014)

Data Analysis Tool for Arm Movement Pattern in Virtual Catching Task: A Preliminary Development. - Shinya Tachihara; Takehiko Yamaguchi 002; Naoki Ishiura; Mickaël Dinomais; Paul Richard; Sylvie Nguyen The Tich (VINCI, 2015)

Virtual Reality System for Rehabilitation of Children with Cerebral Palsy: A Preliminary Study. - Pierre Michel; Paul Richard; Takehiko Yamaguchi 002; Adrien Verhulst; Eulalie Verhulst; Mickaël Dinomais (VISIGRAPP (1: GRAPP), 2016)

Global Perturbation of Initial Geometry in a Biomechanical Model of Cortical Morphogenesis. - Amine Bohi; Xiaoyu Wang 009; Mariam Al Harrach; Mickaël Dinomais; François Rousseau 002; Julien Lefèvre (EMBC, 2019)

On early brain folding patterns using biomechanical growth modeling. - Xiaoyu Wang 009; Amine Bohi; Mariam Al Harrach; Mickaël Dinomais; Julien Lefèvre; François Rousseau 002 (EMBC, 2019)

Towards a Smartwatch for Cuff-Less Blood Pressure Measurement Using PPG Signal and Physiological Features. - Franck Mouney; Teodor Tiplica; Magid Hallab; Mickaël Dinomais; Jean-Baptiste Fasquel (HealthyIoT, 2019)

A New Blood Pressure Estimation Approach Using PPG Sensors: Subject Specific Evaluation over a Long-term Period. - Franck Mouney; Teodor Tiplica; Jean-Baptiste Fasquel; Magid Hallab; Mickaël Dinomais (SmartCity360°, 2020)

On the relevance of edge-conditioned convolution for GNN-based semantic image segmentation using spatial relationships. - Patty Coupeau; Jean-Baptiste Fasquel; Mickaël Dinomais (IPTA, 2022)

Patch-based 3D U-Net and transfer learning for longitudinal piglet brain segmentation on MRI. - Patty Coupeau; Jean-Baptiste Fasquel; E. Mazerand; P. Menei; C. N. Montero-Menei; Mickaël Dinomais (Comput. Methods Programs Biomed., 2022)

Detecting Cerebral Palsy in Neonatal Stroke Children: GNN-Based Detection Considering the Structural Organization of Basal Ganglia. - Patty Coupeau; Jean-Baptiste Fasquel; Josselin Demas; Lucie Hertz-Pannier; Mickaël Dinomais (ISBI, 2023)

Validating Stroke Lesion Segmentation Methods Using MRI in Children: Transferability of Deep Learning Models. - Emma Lhermitte; Mickaël Dinomais; Rodrigo Araneda Oyaneder; Yannick Bleyenheuft; Andrea Guzetta; Sylvain Brochard; François Rousseau 002 (ISBI, 2024)

GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion. - Patty Coupeau; Jean-Baptiste Fasquel; Lucie Hertz-Pannier; Mickaël Dinomais (Comput. Medical Imaging Graph., 2024)

On the use of GNN-based structural information to improve CNN-based semantic image segmentation. - Patty Coupeau; Jean-Baptiste Fasquel; Mickaël Dinomais (J. Vis. Commun. Image Represent., 2024)