Documentation
French (FR)

English (EN)

Elina THIBEAU-SUTRE

Postdoc in the Mathematics of Imaging and AI group, University of Twente (The Netherlands).

27

Documents

Researcher identifiers

elina-thibeau-sutre
0000-0002-4615-0237
IdRef : 263495256

Publications

	Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer’s disease from neuroimaging data Elina Thibeau-Sutre Medical Imaging. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS495⟩ Theses tel-03500490v2

	Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI Simona Bottani , Elina Thibeau-Sutre , Aurélien Maire , Sebastian Ströer , Didier Dormont BMC Medical Imaging, 2024, 24 (1), pp.67. ⟨10.1186/s12880-024-01242-3⟩ Journal articles hal-03497645v2
	Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec , Elina Thibeau-Sutre , Ninon Burgos , Stéphanie Allassonnière IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ⟨10.1109/TPAMI.2022.3185773⟩ Journal articles hal-03214093v1
	ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing Elina Thibeau-Sutre , Mauricio Diaz , Ravi Hassanaly , Alexandre M Routier , Didier Dormont Computer Methods and Programs in Biomedicine, 2022, 220, pp.106818. ⟨10.1016/j.cmpb.2022.106818⟩ Journal articles hal-03351976v2
	Clinica: an open source software platform for reproducible clinical neuroscience studies Alexandre Routier , Ninon Burgos , Mauricio Diaz , Michael Bacci , Simona Bottani Frontiers in Neuroinformatics, 2021, 15, pp.689675. ⟨10.3389/fninf.2021.689675⟩ Journal articles hal-02308126v4
	Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review Manon Ansart , Stéphane Epelbaum , Giulia Bassignana , Alexandre Bône , Simona Bottani Medical Image Analysis, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩ Journal articles hal-02337815v2
	Deep learning for brain disorders: from data processing to disease treatment Ninon Burgos , Simona Bottani , Johann Faouzi , Elina Thibeau-Sutre , Olivier Colliot Briefings in Bioinformatics, 2021, 22 (2), pp.1560-1576. ⟨10.1093/bib/bbaa310⟩ Journal articles hal-03070554v1
	Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen , Elina Thibeau-Sutre , Mauricio Diaz-Melo , Jorge Samper-González , Alexandre Routier Medical Image Analysis, 2020, 63, pp.101694. ⟨10.1016/j.media.2020.101694⟩ Journal articles hal-02562504v2
	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 Challenge Baptiste Couvy-Duchesne , Johann Faouzi , Benoît Martin , Elina Thibeau-Sutre , Adam Wild Frontiers in Psychiatry, 2020, 11, ⟨10.3389/fpsyt.2020.593336⟩ Journal articles hal-03136463v1

	Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning Ravi Hassanaly , Camille Brianceau , Mauricio Diaz , Sophie Loizillon , Elina Thibeau-Sutre SPIE Medical Imaging, Feb 2024, San Diego, United States Conference papers hal-04419141v1
	Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI Elina Thibeau-Sutre , Dieuwertje Alblas , Sophie Buurman , Christoph Brune , Jelmer M Wolterink Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE), Oct 2023, Vancouver, Canada. pp.95-103, ⟨10.1007/978-3-031-44336-7_10⟩ Conference papers hal-04182993v1
	How can data augmentation improve attribution maps for disease subtype explainability? Elina Thibeau-Sutre , Jelmer M Wolterink , Olivier Colliot , Ninon Burgos SPIE Medical Imaging, Feb 2023, San Diego, United States Conference papers hal-03966737v1
	ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing Elina Thibeau-Sutre , Mauricio Diaz , Ravi Hassanaly , Olivier Colliot , Ninon Burgos OHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom Conference papers hal-04279014v1
	MRI field strength predicts Alzheimer's disease: a case example of bias in the ADNI data set Elina Thibeau-Sutre , Baptiste Couvy-Duchesne , Didier Dormont , Olivier Colliot , Ninon Burgos ISBI 2022 - International Symposium on Biomedical Imaging, Mar 2022, Kolkata, India. ⟨10.1109/ISBI52829.2022.9761504⟩ Conference papers hal-03542213v1
	Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models Simona Bottani , Elina Thibeau-Sutre , Aurélien Maire , Sebastian Ströer , Didier Dormont SPIE Medical Imaging 2022: Image Processing, Feb 2022, San Diego, United States. pp.576-582, ⟨10.1117/12.2608565⟩ Conference papers hal-03478798v1
	Advances in the Clinica software platform for clinical neuroimaging studies Omar El Rifai , Mauricio Diaz Melo , Ravi Hassanaly , Matthieu Joulot , Alexandre M Routier OHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom Conference papers hal-03728243v1
	Clinica: an open-source software platform for reproducible clinical neuroscience studies Omar El-Rifai , Mauricio Diaz Melo , Ravi Hassanaly , Matthieu Joulot , Alexandre M Routier MRI Together 2021 - A global workshop on Open Science and Reproducible MR Research, Dec 2021, Online, France Conference papers hal-03513920v1
	Forecast Alzheimer's disease progression to better select patients for clinical trials Etienne Maheux , Juliette Ortholand , Colin Birkenbihl , Elina Thibeau-Sutre , Meemansa Sood ISCB 2021: 42nd Conference of the International Society for Clinical Biostatistics, Jul 2021, Online, France Conference papers hal-03483237v1
	Visualization approach to assess the robustness of neural networks for medical image classification Elina Thibeau-Sutre , Olivier Colliot , Didier Dormont , Ninon Burgos SPIE Medical Imaging 2020, Feb 2020, Houston, United States. ⟨10.1117/12.2548952⟩ Conference papers hal-02370532v3
	New longitudinal and deep learning pipelines in the Clinica software platform Alexandre Routier , Arnaud Marcoux , Mauricio Diaz Melo , Jorge Samper-González , Adam Wild OHBM 2020 - Annual meeting of the Organization for Human Brain Mapping, Jun 2020, Montreal / Virtual, Canada Conference papers hal-02549242v1
	How serious is data leakage in deep learning studies on Alzheimer's disease classification? Junhao Wen , Elina Thibeau--Sutre , Jorge Samper-González , Alexandre M Routier , Simona Bottani 2019 OHBM Annual meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy Conference papers hal-02105133v2
	New advances in the Clinica software platform for clinical neuroimaging studies Alexandre Routier , Arnaud Marcoux , Mauricio Diaz Melo , Jérémy Guillon , Jorge Samper-González OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨10.1016/j.neuroimage.2011.09.015⟩ Conference papers hal-02132147v2

	ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing Elina Thibeau-Sutre , Mauricio Diaz , Ravi Hassanaly , Alexandre M Routier , Didier Dormont 3IA Doctoral Workshop, Nov 2021, Toulouse, France Conference poster hal-03423072v2
	Visualization approach to assess the robustness of neural networks for medical image classification Elina Thibeau-Sutre , Olivier Colliot , Didier Dormont , Ninon Burgos ICM days 2019, Jan 2020, Louan, France Conference poster hal-03365775v1
	Identification of unlabeled latent subtypes with saliency maps Elina Thibeau-Sutre , Olivier Colliot , Didier Dormont , Ninon Burgos ICM welcome days, Oct 2020, Paris (online), France Conference poster hal-03365788v1
	How serious is data leakage in deep learning studies on Alzheimer’s disease classification? Junhao Wen , Elina Thibeau-Sutre , Jorge Samper-Gonzalez , Alexandre M Routier , Simona Bottani Organization for Human Brain Mapping (OHBM), Jun 2019, Roma, Italy Conference poster hal-03365742v1

	Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre , Sasha Collin , Ninon Burgos , Olivier Colliot Olivier Colliot. Machine Learning for Brain Disorders, Springer, 2023, ⟨10.1007/978-1-0716-3195-9_22⟩ Book sections hal-03615163v2