Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization Y Vindas, BK Guépié, M Almar, E Roux, P Delachartre Medical Image Analysis 79, 102437, 2022 | 9 | 2022 |
An hybrid cnn-transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification Y Vindas, BK Guépié, M Almar, E Roux, P Delachartre Machine Learning for Healthcare Conference, 270-296, 2022 | 7 | 2022 |
Semi-supervised annotation of Transcranial Doppler ultrasound micro-embolic data Y Vindas, E Roux, BK Guépié, M Almar, P Delachartre 2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021 | 3 | 2021 |
Guided deep embedded clustering regularization for multifeature medical signal classification Y Vindas, E Roux, BK Guépié, M Almar, P Delachartre Pattern Recognition 143, 109812, 2023 | 2 | 2023 |
Deep embedded clustering regularization for supervised imbalanced cerebral emboli classification using transcranial doppler ultrasound Y Vindas, E Roux, BK Guépié, M Almar, P Delachartre 2023 31st European Signal Processing Conference (EUSIPCO), 1165-1169, 2023 | 2 | 2023 |
Soft labels noise tolerant loss functions for transcranial Doppler ultrasound signal classification Y Vindas, BK Guépié, M Almar, E Roux, P Delachartre 2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023 | 1 | 2023 |
Classification multi-representation d’emboles cerebraux a partir d’un dispositif de Doppler transcranien Y Vindas, BK Guépié, M Almar, E Roux, P Delachartre 1er Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale …, 0 | 1 | |
Weakly-supervised learning for emboli characterization with Transcranial Doppler (TCD) monitoring YV Yassine SCD Doc'INSA, 2023 | | 2023 |
An hybrid cnn-transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification P Delachartre, Y Vindas, E Roux, BK Guépié, M Almar Machine Learning for Healthcare 182, 2022 | | 2022 |
Exploitation du contexte temporel multi-échelle pour la classification de signaux médicaux Y Vindas | | |