| Multiscale brain MRI super-resolution using deep 3D convolutional networks CH Pham, C Tor-Díez, H Meunier, N Bednarek, R Fablet, N Passat, ... Computerized Medical Imaging and Graphics 77, 101647, 2019 | 395 | 2019 |
| EddyNet: A deep neural network for pixel-wise classification of oceanic eddies R Lguensat, M Sun, R Fablet, P Tandeo, E Mason, G Chen IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 173 | 2018 |
| The analog data assimilation R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet Monthly Weather Review 145 (10), 4093-4107, 2017 | 168 | 2017 |
| Automatic detection and tracking of human motion with a view-based representation R Fablet, MJ Black Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 168 | 2002 |
| Altimetry for the future: Building on 25 years of progress S Abdalla, AA Kolahchi, M Ablain, S Adusumilli, SA Bhowmick, ... Advances in Space Research 68 (2), 319-363, 2021 | 141 | 2021 |
| Broad impacts of fine-scale dynamics on seascape structure from zooplankton to seabirds A Bertrand, D Grados, F Colas, S Bertrand, X Capet, A Chaigneau, ... Nature communications 5 (1), 5239, 2014 | 134 | 2014 |
| A multi-task deep learning architecture for maritime surveillance using AIS data streams D Nguyen, R Vadaine, G Hajduch, R Garello, R Fablet 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 127 | 2018 |
| Motion recognition using nonparametric image motion models estimated from temporal and multiscale co-occurrence statistics R Fablet, P Bouthemy IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (12), 1619 …, 2003 | 125 | 2003 |
| Deep learning for ocean remote sensing: an application of convolutional neural networks for super-resolution on satellite-derived SST data A Ducournau, R Fablet 2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 1-6, 2016 | 119 | 2016 |
| Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval R Fablet, P Bouthemy, P Pérez IEEE Transactions on Image Processing 11 (4), 393-407, 2002 | 117 | 2002 |
| Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ... IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023 | 111 | 2023 |
| Hidden Markov models: the best models for forager movements? R Joo, S Bertrand, J Tam, R Fablet PloS one 8 (8), e71246, 2013 | 103 | 2013 |
| GeoTrackNet—A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection D Nguyen, R Vadaine, G Hajduch, R Garello, R Fablet IEEE Transactions on Intelligent Transportation Systems 23 (6), 5655-5667, 2021 | 102 | 2021 |
| Motion characterization from temporal cooccurrences of local motion-based measures for video indexing P Bouthemy, R Fablet Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998 | 99 | 1998 |
| Shedding light on fish otolith biomineralization using a bioenergetic approach R Fablet, L Pecquerie, H de Pontual, H Høie, R Millner, H Mosegaard, ... PLoS One 6 (11), e27055, 2011 | 94 | 2011 |
| Bilinear residual neural network for the identification and forecasting of geophysical dynamics R Fablet, S Ouala, C Herzet 2018 26th European signal processing conference (EUSIPCO), 1477-1481, 2018 | 89 | 2018 |
| CNN-based target recognition and identification for infrared imaging in defense systems A d’Acremont, R Fablet, A Baussard, G Quin Sensors 19 (9), 2040, 2019 | 83 | 2019 |
| The impact of metabolism on stable isotope dynamics: a theoretical framework L Pecquerie, RM Nisbet, R Fablet, A Lorrain, SALM Kooijman Philosophical Transactions of the Royal Society B: Biological Sciences 365 …, 2010 | 80 | 2010 |
| SegSRGAN: Super-resolution and segmentation using generative adversarial networks—Application to neonatal brain MRI Q Delannoy, CH Pham, C Cazorla, C Tor-Díez, G Dollé, H Meunier, ... Computers in Biology and Medicine 120, 103755, 2020 | 79 | 2020 |
| Learning variational data assimilation models and solvers R Fablet, B Chapron, L Drumetz, E Mémin, O Pannekoucke, F Rousseau Journal of Advances in Modeling Earth Systems 13 (10), e2021MS002572, 2021 | 77 | 2021 |
