| Large-scale functional networks identified from resting-state EEG using spatial ICA S Sockeel, D Schwartz, M Pélégrini-Issac, H Benali PloS one 11 (1), e0146845, 2016 | 68 | 2016 |
| Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization LB Ray, S Sockeel, M Soon, A Bore, A Myhr, B Stojanoski, R Cusack, ... Frontiers in human neuroscience 9, 507, 2015 | 63 | 2015 |
| Modelling the neurovascular habituation effect on fMRI time series P Ciuciu, S Sockeel, T Vincent, J Idier 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 9 | 2009 |
| Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology N Nerrienet, R Peyret, M Sockeel, S Sockeel Journal of Medical Imaging 10 (6), 067502-067502, 2023 | 2 | 2023 |
| Multicenter automatic detection of invasive carcinoma on breast whole slide images R Peyret, N Pozin, S Sockeel, SF Kammerer-Jacquet, J Adam, ... PLOS Digital Health 2 (2), e0000091, 2023 | 2 | 2023 |
| A novel sleep spindle detection method to account for intra-and inter-individual differences in spindle characteristics LB Ray, S Sockeel, A Bore, J Carrier, J Doyon, SM Fogel Journal of Sleep Research 23, 106-106, 2014 | 2 | 2014 |
| Detection of functional networks in EEG using spatial independent component analysis S SOCKEEL, D Schwartz, J Martinerie, H Benali, L Garnero IRBM 32 (1), 35-41, 2011 | 1 | 2011 |
| Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification L Dedieu, N Nerrienet, A Nivaggioli, C Simmat, M Clavel, A Gauthier, ... arXiv preprint arXiv:2404.07605, 2024 | | 2024 |
| Contrastive-Based Deep Embeddings for Noise-Resilient Histopathology Image Classification L Dedieu, N Nerrienet, A Nivaggioli, C Simmat, M Clavel, A Gauthier, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| Automatic detection of microcalcifications in whole slide image-comparison of deep learning and standard computer vision approaches M Clavel, S Sockeel, M Sockeel, C Miquel, J Adam, E Lanteri, N Pozin Authorea Preprints, 2023 | | 2023 |
| Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm L Guichard, C Simmat, M Dupeux, S Sockeel, N Pozin, M Lacroix-Triki, ... arXiv preprint arXiv:2310.10277, 2023 | | 2023 |
| Evaluation du score mitotique des carcinomes mammaires infiltrants sur lame numérique: développement et apport d'un algorithme de détection de mitoses L Guichard, C Simmat, M Dupeux, S Sockeel, N Pozin, M Lacroix-Triki, ... | | 2023 |
| Classification in Histopathology: A unique deep embeddings extractor for multiple classification tasks A Nivaggioli, N Pozin, R Peyret, S Sockeel, M Sockeel, N Nerrienet, ... arXiv preprint arXiv:2303.05180, 2023 | | 2023 |
| Étude de performance de CLEO Mitose, un outil de détection automatique de mitose pour le cancer invasif du sein C Simmat, L Guichard, S Sockeel, N Pozin, M Lacroix-Triki, C Miquel, ... Annales de Pathologie 42 (5), 410, 2022 | | 2022 |
| Efficacy and efficiency of a mitosis detection tool in invasive breast cancer C Simmat, L Guichard, S Sockeel, N Pozin, M Lacroix-Triki, C Miquel, ... VIRCHOWS ARCHIV 481 (SUPPL 1), S299-S299, 2022 | | 2022 |
| Detection of microcalcifications in whole slide images: a comparison between image processing and deep learning approaches M Clavel, N Pozin, S Sockeel, M Sockeel, C Miquel VIRCHOWS ARCHIV 481 (SUPPL 1), S300-S300, 2022 | | 2022 |
| Détection de réseaux et étude de la dynamique des connectivités fonctionnelles cérébrales en EEG couplée avec l'IRMf S Sockeel Paris 6, 2012 | | 2012 |
| Extraction de réseaux fonctionnels en EEG par analyse en composantes indépendantes spatiale S Sockeel, D Schwartz, J Martinerie, H Benali, L Garnero IRBM 32 (1), 35-41, 2011 | | 2011 |
| Modélisation de l'habituation neurovasculaire de l'activité cérébrale en IRM fonctionnelle P CIUCIU, S SOCKEEL, J IDIER, T VINCENT XXIIe colloque GRETSI (traitement du signal & des images), 60-61, 2009 | | 2009 |
| Modélisation de l’habituation neurovasculaire de l’activité cérébrale en IRMf P Ciuciu, S Sockeel, J Idier, T Vincent | | |
