Sylvain Brochard

According to our database, Sylvain Brochard authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning.

Zhengyang Lan, Mathieu Lempereur, Gwenael Gueret, Laetitia Houx, Marine Cacioppo, Christelle Pons, Johanne Mensah, Olivier Rémy-Néris, Abdeldjalil Aïssa-El-Bey, François Rousseau, Sylvain Brochard

Comput. Biol. Medicine, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Semi-automatic muscle segmentation in MR images using deep registration-based label propagation.

Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau

Pattern Recognit., August, 2023

Detecting Movement Changes in Children with Hemiparesis after Upper Limb Therapies: A Responsiveness Analysis of a 3D Bimanual Protocol.

Marine Cacioppo, Mathieu Lempereur, Laetitia Houx, Sandra Bouvier, Rodolphe Bailly, Sylvain Brochard

Sensors, 2023

Morphological analysis of ankle shorts bones of children with cerebral palsy: a comparative study.

Yue Cheng, Rodolphe Bailly, Bhushan Borotikar, Claire Scavinner-Dorval, Benjamin Fouquet, Douraied Ben Salem, Sylvain Brochard, François Rousseau

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2020

A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking.

Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau

CoRR, 2020

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders.

Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons

Comput. Medical Imaging Graph., 2020

2019

Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability.

Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Temporal resolution enhancement of dynamic MRI sequences within a motion-based framework.

Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

4D in vivo quantification of ankle joint space width using dynamic MRI.

Karim Makki, Bhushan Borotikar, Marc Garetier, Oscar Acosta, Sylvain Brochard, Douraied Ben Salem, François Rousseau

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

High-resolution temporal reconstruction of ankle joint from dynamic MRI.

Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Subject-specific shoulder muscle attachment region prediction using statistical shape models: A validity study.

Asma Salhi, Valérie Burdin, Tinashe E. M. Mutsvangwa, Sudesh Sivarasu, Sylvain Brochard, Bhushan Borotikar

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2013

Using merged kinematic and anatomical data to evaluate humeral motion estimation: a pilot study.

Cédric Schwartz, Fabien Leboeuf, Olivier Rémy-Néris, Sylvain Brochard, Mathieu Lempereur, Valérie Burdin

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2013