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Sylvain Brochard
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2020 – today
- 2024
- [j5]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:
Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning. Comput. Biol. Medicine 171: 108095 (2024) - [c7]Emma Lhermitte, Mickaël Dinomais, Rodrigo Araneda Oyaneder, Yannick Bleyenheuft, Andrea Guzetta, Sylvain Brochard, François Rousseau:
Validating Stroke Lesion Segmentation Methods Using MRI in Children: Transferability of Deep Learning Models. ISBI 2024: 1-5 - 2023
- [j4]Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. Pattern Recognit. 140: 109529 (2023) - [j3]Marine Cacioppo, Mathieu Lempereur, Laetitia Houx, Sandra Bouvier, Rodolphe Bailly, Sylvain Brochard:
Detecting Movement Changes in Children with Hemiparesis after Upper Limb Therapies: A Responsiveness Analysis of a 3D Bimanual Protocol. Sensors 23(9): 4235 (2023) - [c6]Yue Cheng, Rodolphe Bailly, Bhushan Borotikar, Claire Scavinner-Dorval, Benjamin Fouquet, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
Morphological analysis of ankle shorts bones of children with cerebral palsy: a comparative study. Image Processing 2023 - 2020
- [j2]Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons:
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. Comput. Medical Imaging Graph. 83: 101733 (2020) - [i2]Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking. CoRR abs/2005.02159 (2020)
2010 – 2019
- 2019
- [c5]Karim Makki, Bhushan Borotikar, Marc Garetier, Oscar Acosta, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
4D in vivo quantification of ankle joint space width using dynamic MRI. EMBC 2019: 2115-2118 - [c4]Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
Temporal resolution enhancement of dynamic MRI sequences within a motion-based framework. EMBC 2019: 4004-4007 - [c3]Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard:
Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. ISBI 2019: 36-39 - [i1]Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons:
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. CoRR abs/1901.01620 (2019) - 2018
- [c2]Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
High-resolution temporal reconstruction of ankle joint from dynamic MRI. ISBI 2018: 1297-1300 - 2017
- [c1]Asma Salhi, Valérie Burdin, Tinashe E. M. Mutsvangwa, Sudesh Sivarasu, Sylvain Brochard, Bhushan Borotikar:
Subject-specific shoulder muscle attachment region prediction using statistical shape models: A validity study. EMBC 2017: 1640-1643 - 2013
- [j1]Cédric Schwartz, Fabien Leboeuf, Olivier Rémy-Néris, Sylvain Brochard, Mathieu Lempereur, Valérie Burdin:
Using merged kinematic and anatomical data to evaluate humeral motion estimation: a pilot study. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 1(1): 43-47 (2013)
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last updated on 2024-11-28 20:32 CET by the dblp team
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