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Matthieu Martin
Matthieu Martin
Clinatec, CEA Leti, Grenoble
在 creatis.insa-lyon.fr 的电子邮件经过验证
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引用次数
引用次数
年份
Mechanisms of fatigue and recovery in upper versus lower limbs in men
G Vernillo, J Temesi, M Martin, GY Millet
Medicine & Science in Sports & Exercise 50 (2), 334-343, 2018
652018
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic
A Moly, T Costecalde, F Martel, M Martin, C Larzabal, S Karakas, ...
Journal of Neural Engineering 19 (2), 026021, 2022
352022
Decoding ECoG signal into 3D hand translation using deep learning
M Śliwowski, M Martin, A Souloumiac, P Blanchart, T Aksenova
Journal of Neural Engineering 19 (2), 026023, 2022
302022
Automatic segmentation of the cerebral ventricle in neonates using deep learning with 3d reconstructed freehand ultrasound imaging
M Martin, B Sciolla, M Sdika, X Wang, P Quetin, P Delachartre
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
272018
Sequential Emboli Detection From Ultrasound Outpatient Data
BK Guépié, M Martin, V Lacrosaz, M Almar, B Guibert, P Delachartre
IEEE journal of biomedical and health informatics 23 (1), 334-341, 2018
182018
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN
M Martin, B Sciolla, M Sdika, P Quetin, P Delachartre
Computers in Biology and Medicine 131, 104268, 2021
152021
Sustained maximal voluntary contractions elicit different neurophysiological responses in upper-and lower-limb muscles in men
J Temesi, G Vernillo, M Martin, RL Krüger, CJ McNeil, GY Millet
Neuroscience 422, 88-98, 2019
152019
Segmentation of neonates cerebral ventricles with 2D CNN in 3D US data: suitable training-set size and data augmentation strategies
M Martin, B Sciolla, M Sdika, P Quétin, P Delachartre
2019 IEEE International Ultrasonics Symposium (IUS), 2122-2125, 2019
122019
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
M Śliwowski, M Martin, A Souloumiac, P Blanchart, T Aksenova
Frontiers in Human Neuroscience 17, 1111645, 2023
102023
Do aerobic characteristics explain isometric exercise-induced neuromuscular fatigue and recovery in upper and lower limbs?
G Vernillo, J Temesi, M Martin, GY Millet
Journal of sports sciences 37 (4), 387-395, 2019
102019
Segmentation of the lateral ventricles in 3D ultrasound images of the brain in neonates
B Sciolla, M Martin, P Delachartre, P Quetin
2016 IEEE International Ultrasonics Symposium (IUS), 1-4, 2016
92016
Spinal contribution to neuromuscular recovery differs between elbow-flexor and knee-extensor muscles after a maximal sustained fatiguing task
G Vernillo, J Temesi, M Martin, RL Krüger, GY Millet
Journal of Neurophysiology 124 (3), 763-773, 2020
82020
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography priority u-Net for detection of pwml in preterm 3d Cranial …
P Erbacher, C Lartizien, M Martin, PF Pimenta, P Quetin, P Delachartre
Medical Imaging with Deep Learning (MIDL) 121, 205-216, 2020
72020
Multi-pass 3D convolutional neural network segmentation of prostate MRI images
B Sciolla, M Martin, P Delachartre
Technical Report, 2017
72017
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features
M Śliwowski, M Martin, A Souloumiac, P Blanchart, T Aksenova
International Conference of the Italian Association for Artificial …, 2022
32022
Quantitative Comparison of 3D Freehand Ultrasound and MRI Images of the Neonatal Brain
M Blanchard, M Martin, P Quetin, P Delachartre
2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020
2020
Reconstruction 3D de données échographiques du cerveau du prématuré et segmentation des ventricules cérébraux et thalami par apprentissage supervisé
M Martin
Université Claude Bernard Lyon 1, 2019
2019
Apprentissage pour la segmentation de la prostate en IRM: architectures multi-échelle résiduelles
B Sciolla, M Martin, R Souchon, O Rouviere, P Delachartre
Conférence sur l'Apprentissage Automatique, 2017
2017
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