| Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke M Giacalone, P Rasti, N Debs, C Frindel, TH Cho, E Grenier, D Rousseau Medical image analysis 50, 117-126, 2018 | 33 | 2018 |
| Impact of the reperfusion status for predicting the final stroke infarct using deep learning N Debs, TH Cho, D Rousseau, Y Berthezène, M Buisson, O Eker, ... NeuroImage: Clinical 29, 102548, 2021 | 25 | 2021 |
| The contribution of machine learning in the validation of commercial wearable sensors for gait monitoring in patients: a systematic review T Jourdan, N Debs, C Frindel Sensors 21 (14), 4808, 2021 | 23 | 2021 |
| Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke N Debs, P Rasti, L Victor, TH Cho, C Frindel, D Rousseau Computers in Biology and Medicine 116, 103579, 2020 | 15 | 2020 |
| Association of blood biomarkers of inflammation with penumbra consumption after mechanical thrombectomy in patients with acute ischemic stroke L Mechtouff, N Debs, C Frindel, A Bani-Sadr, T Bochaton, A Paccalet, ... Neurology 99 (18), e2063-e2071, 2022 | 5 | 2022 |
| Motion sensor data anonymization by time-frequency filtering N Debs, T Jourdan, A Moukadem, A Boutet, C Frindel 2020 28th European Signal Processing Conference (EUSIPCO), 1707-1711, 2021 | 4 | 2021 |
| IA pour la détection et le diagnostic du cancer de la prostate N Debs, A Routier, C Abi-Nader, A Marcoux, F Nicolas, A Bône, MM Rohé Journée Francophone de Radiologie, 2023 | | 2023 |
| Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection N Debs, A Routier, C Abi-Nader, A Marcoux, A Bône, MM Rohé International Workshop on Applications of Medical AI, 42-51, 2023 | | 2023 |
| Deep learning for detection and diagnosis of prostate cancer from bpMRI and PSA: Guerbet’s contribution to the PI-CAI 2022 Grand Challenge N Debs, A Routier, C Abi-Nader, A Marcoux, F Nicolas, A Bône, MM Rohé | | 2023 |
| Contribution of PIRADS annotation for the detection of prostate significant cancer using deep learning N Debs, A Routier, B Lorenzi, L Kate Wood, N François, MM Rohé European Congress of Radiology 2022, 2022 | | 2022 |
| Apprendre l’apprentissage automatique: un retour d’expérience N Debs, S Peignier, C Douarre, T Jourdan, C Rigotti, C Frindel J3eA 21, 2013, 2022 | | 2022 |
| Voxel-based prediction of diffusion lesion reversal in ischemic stroke patients treated with thrombectomy N Debs, C Frindel, L Mechtouff, M Buisson, R Riva, Y Berthezene, ... International Journal of Stroke 15 (1_ SUPPL), 289-290, 2020 | | 2020 |
| Prédiction de l’issue lésionnelle et clinique de l’accident vasculaire cérébral par approche d’intelligence artificielle N Debs Université de Lyon, 2020 | | 2020 |
| Classification bayésienne naïve appliquée à la prédiction de l’évolution de lésion dans l’accident vasculaire cérébrale ischémique. N Debs, C Frindel, TH Cho, D Rousseau GRETSI, 2019 | | 2019 |
| Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network N Debs, M Decroocq, TH Cho, D Rousseau, C Frindel Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019 | | 2019 |
| Perfusion MRI in stroke as a regional spatio-temporal texture N Debs, M Giacalone, R Pejman, TH Cho, C Frindel, D Rousseau International Symposium on Magnetic Resonance in Medicine (ISMRM), 2018 | | 2018 |
Carole FRINDELAssociate Professor, HDR, University of Lyon, CREATIS, FranceVerified email at creatis.insa-lyon.fr
