| 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 | 76 | 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 | 54 | 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 | 50 | 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 | 48 | 2019 |
| 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 | 40 | 2020 |
| Clear thinking about interproximal stripping C Frindel Journal of Dentofacial Anomalies and Orthodontics 13 (2), 187-199, 2010 | 40 | 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 | 35 | 2020 |
| 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 | 35 | 2010 |
| 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 | 34 | 2021 |
| 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 | 34 | 2018 |
| Deep learning based root-soil segmentation from X-ray tomography images C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau BioRxiv, 071662, 2016 | 32 | 2016 |
| 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 | 29 | 2019 |
| 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 | 29 | 2018 |
| 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 | 27 | 2021 |
| 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 | 26 | 2021 |
| 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 | 26 | 2016 |
| 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 | 26 | 2015 |
| 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 | 23 | 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 | 20 | 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 | 19 | 2016 |
David ROUSSEAUUniversité d'Angers, France (former Université Lyon 1)Verified email at univ-angers.fr
