Associate Professor, HDR, University of Lyon, CREATIS, France
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Cited by
Cited by
Transfer learning from synthetic data applied to soil–root segmentation in x-ray tomography images
C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau
Journal of Imaging 4 (5), 65, 2018
Comparison of regularization methods for human cardiac diffusion tensor MRI
C Frindel, M Robini, P Croisille, YM Zhu
Medical image analysis 13 (3), 405-418, 2009
Synchrotron radiation X-ray phase micro-computed tomography as a new method to detect iron oxide nanoparticles in the brain
M Marinescu, M Langer, A Durand, C Olivier, A Chabrol, H Rositi, ...
Molecular Imaging and Biology 15, 552-559, 2013
Overcoming challenges of cranial nerve tractography: a targeted review
T Jacquesson, C Frindel, G Kocevar, M Berhouma, E Jouanneau, A Attyé, ...
Neurosurgery 84 (2), 313-325, 2019
Clear thinking about interproximal stripping
C Frindel
Journal of Dentofacial Anomalies and Orthodontics 13 (2), 187-199, 2010
Predicting poor outcome before endovascular treatment in patients with acute ischemic stroke
LA Ramos, M Kappelhof, HJA Van Os, V Chalos, K Van Kranendonk, ...
Frontiers in neurology 11, 580957, 2020
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
A graph‐based approach for automatic cardiac tractography
C Frindel, M Robini, J Schaerer, P Croisille, YM Zhu
Magnetic Resonance in Medicine 64 (4), 1215-1229, 2010
Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy
P Leclerc, C Ray, L Mahieu-Williame, L Alston, C Frindel, PF Brevet, ...
Scientific reports 10 (1), 1462, 2020
Deep learning based root-soil segmentation from X-ray tomography images
C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau
BioRxiv, 071662, 2016
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
A Boutet, C Frindel, S Gambs, T Jourdan, RC Ngueveu
Proceedings of the 2021 ACM asia conference on computer and communications …, 2021
Toward privacy in IoT mobile devices for activity recognition
T Jourdan, A Boutet, C Frindel
Proceedings of the 15th EAI international conference on mobile and …, 2018
Probabilistic tractography to predict the position of cranial nerves displaced by skull base tumors: value for surgical strategy through a case series of 62 patients
T Jacquesson, F Cotton, A Attyé, S Zaouche, S Tringali, J Bosc, ...
Neurosurgery 85 (1), E125-E136, 2019
Prediction of facial nerve position in large vestibular schwannomas using diffusion tensor imaging tractography and its intraoperative correlation
SA Borkar, A Garg, DS Mankotia, SL Joseph, A Suri, R Kumar, SS Kale, ...
Neurology India 64 (5), 965-970, 2016
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
Validity of shape as a predictive biomarker of final infarct volume in acute ischemic stroke
C Frindel, A Rouanet, M Giacalone, TH Cho, L Østergaard, J Fiehler, ...
Stroke 46 (4), 976-981, 2015
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
A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain
C Frindel, MC Robini, D Rousseau
Medical image analysis 18 (1), 144-160, 2014
Changes of health-related quality of life within the 1st year after stroke–results from a prospective stroke cohort study
A Kainz, C Meisinger, J Linseisen, I Kirchberger, P Zickler, M Naumann, ...
Frontiers in Neurology 12, 715313, 2021
A sensitive and automatic white matter fiber tracts model for longitudinal analysis of diffusion tensor images in multiple sclerosis
C Stamile, G Kocevar, F Cotton, F Durand-Dubief, S Hannoun, C Frindel, ...
PLoS One 11 (5), e0156405, 2016
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