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IEEE Transactions on Pattern Analysis and Machine Intelligence|June 24, 2022
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational AutoencoderClement Chadebec, Elina Thibeau-Sutre, Ninon Burgos, et al.
Briefings in Bioinformatics|December 14, 2020
Deep learning for brain disorders: from data processing to disease treatmentNinon Burgos, Simona Bottani, Johann Faouzi, et al.
Computer Methods and Programs in Biomedicine|April 28, 2022
ClinicaDL: An open-source deep learning software for reproducible neuroimaging processingElina Thibeau-Sutre, Mauricio Díaz, Ravi Hassanaly, et al.
BMC Medical Imaging|March 20, 2024
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRISimona Bottani, Elina Thibeau-Sutre, Aurélien Maire, et al.
Neuroimage. Clinical|December 11, 2025
Multimodal neural correlates of cognitive awareness in aging and Alzheimer's diseaseFederica Cacciamani, Marion Houot, Sophie Tezenas du Montcel, et al.
Frontiers in Psychiatry|January 1, 2021
Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 ChallengeBaptiste Couvy-Duchesne, Johann Faouzi, Benoît Martin, et al.
Medical Image Analysis|May 18, 2020
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluationJunhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, et al.
Surgical Endoscopy|January 3, 2025
Deep learning-based pelvimetry in pelvic MRI volumes for pre-operative difficulty assessment of total mesorectal excisionSimon C Baltus, Ritch T J Geitenbeek, Maike Frieben, et al.
Medical Image Analysis|October 22, 2020
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical reviewManon Ansart, Stéphane Epelbaum, Giulia Bassignana, et al.
Cancers|March 28, 2025
Multi-Modal Machine Learning for Evaluating the Predictive Value of Pelvimetric Measurements (Pelvimetry) for Anastomotic Leakage After Restorative Low Anterior ResectionRitch T J Geitenbeek, Simon C Baltus, Mark Broekman, et al.
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