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Elina Thibeau-Sutre
Elina Thibeau-Sutre
Adresse e-mail validée de utwente.nl
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Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ...
Medical image analysis 63, 101694, 2020
5562020
Clinica: An open-source software platform for reproducible clinical neuroscience studies
A Routier, N Burgos, M Díaz, M Bacci, S Bottani, O El-Rifai, S Fontanella, ...
Frontiers in Neuroinformatics 15, 689675, 2021
1132021
Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review
M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ...
Medical Image Analysis 67, 101848, 2021
822021
Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder
C Chadebec, E Thibeau-Sutre, N Burgos, S Allassonnière
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2879-2896, 2022
642022
Ensemble learning of convolutional neural network, support vector machine, and best linear unbiased predictor for brain age prediction: Aramis contribution to the predictive …
B Couvy-Duchesne, J Faouzi, B Martin, E Thibeau–Sutre, A Wild, ...
Frontiers in Psychiatry 11, 593336, 2020
382020
ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing
E Thibeau-Sutre, M Diaz, R Hassanaly, A Routier, D Dormont, O Colliot, ...
Computer Methods and Programs in Biomedicine 220, 106818, 2022
372022
Deep learning for brain disorders: from data processing to disease treatment
N Burgos, S Bottani, J Faouzi, E Thibeau-Sutre, O Colliot
Briefings in Bioinformatics 22 (2), 1560-1576, 2021
252021
Visualization approach to assess the robustness of neural networks for medical image classification
E Thibeau-Sutre, O Colliot, D Dormont, N Burgos
Medical Imaging 2020: Image Processing 11313, 370-380, 2020
172020
Australian Imaging Biomarkers and Lifestyle flagship study of ageing, Convolutional neural networks for classification of Alzheimer’s disease: Overview and reproducible evaluation
J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ...
Med. Image Anal 63, 101694, 2020
16*2020
MRI field strength predicts Alzheimer’s disease: a case example of bias in the ADNI data set
E Thibeau-Sutre, B Couvy-Duchesne, D Dormont, O Colliot, N Burgos
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
112022
Reproducibility in machine learning for medical imaging
O Colliot, E Thibeau-Sutre, N Burgos
Machine Learning for Brain Disorders, 631-653, 2023
82023
Interpretability of Machine Learning Methods Applied to Neuroimaging
E Thibeau-Sutre, S Collin, N Burgos, O Colliot
Machine Learning for Brain Disorders, 655-704, 2023
82023
Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models
S Bottani, E Thibeau-Sutre, A Maire, S Ströer, D Dormont, O Colliot, ...
Medical Imaging 2022: Image Processing 12032, 576-582, 2022
82022
Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation. arXiv 2019
J Wen, E Thibeau-Sutre, J Samper-Gonzalez, A Routier, S Bottani, ...
arXiv preprint arXiv:1904.07773, 2019
62019
Visualization approach to assess the robustness of neural networks for medical image classification
ET Sutre, O Colliot, D Dormont, N Burgos
arXiv preprint arXiv:1911.08264, 2019
32019
Reproducibility in medical image computing: What is it and how is it assessed?
O Colliot, E Thibeau-Sutre, C Brianceau, N Burgos
Open Review 3fIXW9mFfn, 2024
22024
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI
E Thibeau-Sutre, D Alblas, S Buurman, C Brune, JM Wolterink
International Workshop on Uncertainty for Safe Utilization of Machine …, 2023
22023
Clinica: an open-source software platform for reproducible clinical neuroscience studies
O El-Rifai, MD Melo, R Hassanaly, M Joulot, AM Routier, E Thibeau-Sutre, ...
MRI Together 2021-A global workshop on Open Science and Reproducible MR Research, 2021
22021
Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer’s disease from neuroimaging data
E Thibeau-Sutre
Sorbonne université, 2021
22021
Predicting the progression of mild cognitive impairment using machine learning: a systematic and quantitative review
M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ...
HAL, 2019
22019
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