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Noëlie Debs
Noëlie Debs
GUERBET, AI team
Adresse e-mail validée de guerbet.com
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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
302018
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
242021
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
212021
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
152020
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
42022
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
42021
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
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