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2020 – today
- 2024
[j49]Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI. BMC Medical Imaging 24(1): 67 (2024)- [j48]Sophie Loizillon
, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data. Medical Image Anal. 93: 103073 (2024) - [c60]Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein:
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? MICCAI (10) 2024: 124-132 - [i30]Ravi Hassanaly, Camille Brianceau, Maëlys Solal, Olivier Colliot, Ninon Burgos:
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET. CoRR abs/2401.16363 (2024) - [i29]Sophie Loizillon, Simona Bottani, Stéphane Mabille, Yannick Jacob, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation. CoRR abs/2406.12448 (2024) - [i28]Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos, Camille Brianceau, Matthieu Joulot, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Dimitri Papadopoulos, Hervé Lemaître, Tomás Paus, Luise Poustka, Sarah Hohmann, Nathalie Holz, Juliane H. Fröhner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Christian Büchel, JB Poline, Bernd Itterman, Vincent Frouin, Alexandre Martin, IMAGEN study group, Claire Cury, Olivier Colliot:
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts. CoRR abs/2408.02496 (2024) - [i27]Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristobal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger:
SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR abs/2411.09593 (2024) - 2023
- [j47]Simona Bottani, Ninon Burgos, Aurélien Maire, Dario Saracino, Sebastian Ströer, Didier Dormont, Olivier Colliot:
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse. Medical Image Anal. 89: 102903 (2023) - [c59]Rosana El Jurdi, Olivier Colliot:
How Precise are Performance Estimates for Typical Medical Image Segmentation Tasks? ISBI 2023: 1-5 - [c58]Sophie Loizillon, Olivier Colliot, Lydia Chougar, Sebastian Ströer, Yannick Jacob, Aurélien Maire, Didier Dormont, Ninon Burgos:
Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse. DART@MICCAI 2023: 84-93 - [c57]Ravi Hassanaly, Camille Brianceau, Olivier Colliot, Ninon Burgos:
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches. DGM4MICCAI 2023: 110-120 - [c56]Guanghui Fu, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Stéphane Lehéricy, Olivier Colliot:
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss. Image Processing 2023 - [c55]Ravi Hassanaly, Simona Bottani, Benoît Sauty, Olivier Colliot, Ninon Burgos:
Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET. Image Processing 2023 - [c54]Lisa Hemforth, Claire Cury, Vincent Frouin, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Luise Poustka, Sarah Hohmann, Sabina Millenet, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Baptiste Couvy-Duchesne, Olivier Colliot:
Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria. Image Processing 2023 - [c53]Sophie Loizillon, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI. Image Processing 2023 - [c52]Elina Thibeau-Sutre, Jelmer M. Wolterink, Olivier Colliot, Ninon Burgos:
How can data augmentation improve attribution maps for disease subtype explainability. Image Processing 2023 - [e2]Olivier Colliot, Ivana Isgum:
Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023. SPIE Proceedings 12464, SPIE 2023, ISBN 9781510660335 [contents] - [i26]Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot:
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. CoRR abs/2302.12980 (2023) - [i25]Rosana El Jurdi, Gaël Varoquaux, Olivier Colliot:
Confidence intervals for performance estimates in 3D medical image segmentation. CoRR abs/2307.10926 (2023) - [i24]Johann Faouzi, Olivier Colliot:
Classic machine learning methods. CoRR abs/2310.11470 (2023) - 2022
- [j46]Elina Thibeau-Sutre, Mauricio Diaz-Melo, Ravi Hassanaly, Alexandre Routier, Didier Dormont, Olivier Colliot, Ninon Burgos:
ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing. Comput. Methods Programs Biomed. 220: 106818 (2022) - [j45]Simona Bottani, Ninon Burgos, Aurélien Maire, Adam Wild, Sebastian Ströer, Didier Dormont, Olivier Colliot:
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse. Medical Image Anal. 75: 102219 (2022) - [j44]Pascal Lu, Olivier Colliot:
Multilevel Survival Modeling With Structured Penalties for Disease Prediction From Imaging Genetics Data. IEEE J. Biomed. Health Informatics 26(2): 798-808 (2022) - [j43]Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Daisy Rinaldi, Agnès Camuzat, Isabelle Le Ber, Olivier Colliot:
Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders. IEEE J. Biomed. Health Informatics 26(12): 6024-6035 (2022) - [c51]Elina Thibeau-Sutre, Baptiste Couvy-Duchesne, Didier Dormont, Olivier Colliot, Ninon Burgos:
MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set. ISBI 2022: 1-4 - [c50]Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models. Image Processing 2022 - [c49]Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Vincent Anquetil, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, Isabelle Le Ber, Olivier Colliot:
A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases. Image Processing 2022 - [c48]Marius Schmidt-Mengin, Vito A. G. Ricigliano, Benedetta Bodini, Emanuele Morena, Annalisa Colombi, Maryem Hamzaoui, Arya Yazdan Panah, Bruno Stankoff, Olivier Colliot:
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis. Image Processing 2022 - [e1]Olivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew:
Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. SPIE Proceedings 12032, SPIE 2022, ISBN 9781510649392 [contents] - [i23]Elina Thibeau-Sutre, Sasha Collin, Ninon Burgos, Olivier Colliot:
Interpretability of Machine Learning Methods Applied to Neuroimaging. CoRR abs/2204.07005 (2022) - [i22]Olivier Colliot, Elina Thibeau-Sutre, Ninon Burgos:
Reproducibility in machine learning for medical imaging. CoRR abs/2209.05097 (2022) - [i21]Rosana El Jurdi, Olivier Colliot:
How precise are performance estimates for typical medical image segmentation tasks? CoRR abs/2210.14677 (2022) - [i20]Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot:
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. CoRR abs/2211.01353 (2022) - 2021
- [j42]Ninon Burgos, Simona Bottani, Johann Faouzi, Elina Thibeau-Sutre, Olivier Colliot:
Deep learning for brain disorders: from data processing to disease treatment. Briefings Bioinform. 22(2): 1560-1576 (2021) - [j41]Alexandre Routier, Ninon Burgos, Mauricio Diaz-Melo, Michael Bacci, Simona Bottani, Omar El-Rifai, Sabrina Fontanella, Pietro Gori, Jérémy Guillon, Alexis Guyot, Ravi Hassanaly, Thomas Jacquemont, Pascal Lu, Arnaud Marcoux, Tristan Moreau, Jorge Samper-González, Marc Teichmann, Elina Thibeau-Sutre, Ghislain Vaillant, Junhao Wen, Adam Wild, Marie Odile Habert, Stanley Durrleman, Olivier Colliot:
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers Neuroinformatics 15: 689675 (2021) - [j40]Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, Tiziana Cattai, Raphaël Couronné, Johann Faouzi, Igor Koval, Maxime Louis, Elina Thibeau-Sutre, Junhao Wen, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman:
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 67: 101848 (2021) - [j39]Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot:
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease. Neuroinformatics 19(1): 57-78 (2021) - [j38]Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière:
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3196-3213 (2021) - [j37]Alexis Guyot, Ana B. Graciano Fouquier, Emilie Gerardin, Marie Chupin, Joan Alexis Glaunès, Linda Marrakchi-Kacem, Johanne Germain, Claire Boutet, Claire Cury, Lucie Hertz-Pannier, Alexandre Vignaud, Stanley Durrleman, Thomas R. Henry, Pierre-François van de Moortele, Alain Trouvé, Olivier Colliot:
A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI. IEEE Trans. Biomed. Eng. 68(2): 393-403 (2021) - [c47]Baptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Jian Yang, Olivier Colliot:
Association and prediction of phenotypic traits from neuroimaging data using a multi-component mixed model excluding the target vertex. Image Processing 2021 - [i19]Simona Bottani, Ninon Burgos, Aurélien Maire, Adam Wild, Sebastian Ströer, Didier Dormont, Olivier Colliot:
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse. CoRR abs/2104.08131 (2021) - [i18]Marius Schmidt-Mengin, Vito A. G. Ricigliano, Benedetta Bodini, Emanuele Morena, Annalisa Colombi, Mariem Hamzaoui, Arya Yazdan Panah, Bruno Stankoff, Olivier Colliot:
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis. CoRR abs/2109.03778 (2021) - 2020
- [j36]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Learning the spatiotemporal variability in longitudinal shape data sets. Int. J. Comput. Vis. 128(12): 2873-2896 (2020) - [j35]Martina Sundqvist, Alexandre Routier, Bruno Dubois, Olivier Colliot, Marc Teichmann:
The White Matter Module-Hub Network of Semantics Revealed by Semantic Dementia. J. Cogn. Neurosci. 32(7): 1330-1347 (2020) - [j34]Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot:
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Medical Image Anal. 63: 101694 (2020) - [j33]Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, Nicholas Ayache:
Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis. NeuroImage 223: 117308 (2020) - [c46]Baptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Olivier Colliot, Jian Yang:
Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyses of Grey-Matter. ISBI 2020: 404-407 - [c45]Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman:
Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. MICCAI (1) 2020: 202-211 - [c44]Pascal Lu, Olivier Colliot:
Multilevel survival analysis with structured penalties for imaging genetics data. Image Processing 2020: 113130K - [c43]Elina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos:
Visualization approach to assess the robustness of neural networks for medical image classification. Image Processing 2020: 113131J - [i17]Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière:
Gaussian Graphical Model exploration and selection in high dimension low sample size setting. CoRR abs/2003.05169 (2020) - [i16]Alexandre Morin, Jorge Samper-González, Anne Bertrand, Sebastian Ströer, Didier Dormont, Aline Mendes, Pierrick Coupé, Jamila Ahdidan, Marcel Lévy, Dalila Samri, Harald Hampel, Bruno Dubois, Marc Teichmann, Stéphane Epelbaum, Olivier Colliot:
Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort. CoRR abs/2003.09260 (2020)
2010 – 2019
- 2019
- [j32]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis. Medical Image Anal. 58 (2019) - [c42]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. ICCV Workshops 2019: 4014-4023 - [c41]Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman:
Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. IPMI 2019: 195-207 - [c40]Jorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot:
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. Image Processing 2019: 109490V - [i15]Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-González, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot:
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. CoRR abs/1904.07773 (2019) - [i14]Elina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos:
Visualization approach to assess the robustness of neural networks for medical image classification. CoRR abs/1911.08264 (2019) - [i13]Olivier Colliot:
Interpretable and Reliable Artificial Intelligence Systems for Brain Diseases. ERCIM News 2019(118) (2019) - 2018
- [j31]Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie Odile Habert, Olivier Colliot:
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers Neuroinformatics 12: 94 (2018) - [j30]Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers:
Multi-modal brain fingerprinting: A manifold approximation based framework. NeuroImage 183: 212-226 (2018) - [j29]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage 183: 504-521 (2018) - [j28]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis. IEEE Trans. Medical Imaging 37(9): 2033-2043 (2018) - [c39]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. CVPR 2018: 9271-9280 - [c38]Vincent Henry, Ivan Moszer, Olivier Dameron, Marie-Claude Potier, Martin Hofmann-Apitius, Olivier Colliot:
Converting Alzheimer's Disease Map into a Heavyweight Ontology: A Formal Network to Integrate Data. DILS 2018: 207-215 - [c37]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training. MICCAI (3) 2018: 514-522 - [i12]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. CoRR abs/1803.10119 (2018) - [i11]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. CoRR abs/1804.08039 (2018) - [i10]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, Alzheimer's Disease Neuroimaging Initiative:
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR abs/1808.06452 (2018) - [i9]Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot:
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease. CoRR abs/1812.11183 (2018) - 2017
- [j27]Claire Cury, Joan Alexis Glaunès, Marie Chupin, Olivier Colliot:
Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 350-358 (2017) - [j26]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman:
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations. J. Mach. Learn. Res. 18: 133:1-133:33 (2017) - [j25]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Medical Image Anal. 35: 458-474 (2017) - [j24]Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews:
Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis. NeuroImage 158: 242-259 (2017) - [c36]Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie Odile Habert, Sébastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot:
Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. CMMI/RAMBO/SWITCH@MICCAI 2017: 13-22 - [c35]Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. MLMI@MICCAI 2017: 53-60 - [c34]Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers:
White Matter Fiber Segmentation Using Functional Varifolds. GRAIL/MFCA/MICGen@MICCAI 2017: 92-100 - [c33]Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman:
Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. GRAIL/MFCA/MICGen@MICCAI 2017: 101-113 - [c32]Pascal Lu, Olivier Colliot:
Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics Data. GRAIL/MFCA/MICGen@MICCAI 2017: 230-240 - [c31]Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman:
Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials. DLMIA/ML-CDS@MICCAI 2017: 357-364 - [c30]Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. MICCAI (1) 2017: 451-459 - [i8]Emilie Gerardin, Gaël Chételat, Marie Chupin, Rémi Cuingnet, Béatrice Desgranges, Hosung Kim, Marc Niethammer, Bruno Dubois, Stéphane Lehéricy, Line Garnero, Francis Eustache, Olivier Colliot:
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. CoRR abs/1707.05961 (2017) - [i7]Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers:
White Matter Fiber Segmentation Using Functional Varifolds. CoRR abs/1709.06144 (2017) - [i6]Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers:
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI. CoRR abs/1709.06151 (2017) - [i5]Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. CoRR abs/1709.07267 (2017) - [i4]Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks. CoRR abs/1709.08491 (2017) - [i3]Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman:
Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. CoRR abs/1711.08716 (2017) - [i2]Olivier Colliot, Fabrizio de Vico Fallani, Stanley Durrleman:
Modelling Neurodegenerative Diseases from Multimodal Medical Images. ERCIM News 2017(108) (2017) - 2016
- [j23]Grégory Operto, Marie Chupin, Bénédicte Batrancourt, Marie Odile Habert, Olivier Colliot, Habib Benali, Cyril Poupon, Catherine Champseix, Christine Delmaire, Marie Sullivan, Denis Rivière, Mélanie Pélégrini-Issac, Vincent Perlbarg, Régine Trébossen, Michel Bottlaender, Vincent Frouin, Antoine Grigis, Dimitri Papadopoulos-Orfanos, Hugo Dary, Ludovic Fillon, Chabha Azouani, Ali Bouyahia, Clara Fischer, Lydie Edward, Mathilde Bouin, Urielle Thoprakarn, Jinpeng Li, Leila Makkaoui, Sylvain Poret, Carole Dufouil, Vincent Bouteloup, Gaël Chételat, Bruno Dubois, Stéphane Lehéricy, Jean-François Mangin, Yann Cointepas:
CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts. Neuroinformatics 14(3): 253-264 (2016) - [j22]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. IEEE Trans. Medical Imaging 35(12): 2609-2619 (2016) - [c29]Linda Marrakchi-Kacem, Alexandre Vignaud, Julien Sein, Johanne Germain, Thomas R. Henry, Cyril Poupon, Lucie Hertz-Pannier, Stéphane Lehéricy, Olivier Colliot, Pierre-François van de Moortele, Marie Chupin:
Intra-subject multi-slab registration: Application to hippocampal ultra-high resolution imaging at 7T. ATSIP 2016: 348-353 - [i1]Linda Marrakchi-Kacem, Alexandre Vignaud, Julien Sein, Johanne Germain, Thomas R. Henry, Cyril Poupon, Lucie Hertz-Pannier, Stéphane Lehéricy, Olivier Colliot, Pierre-François van de Moortele, Marie Chupin:
Robust imaging of hippocampal inner structure at 7T: in vivo acquisition protocol and methodological choices. CoRR abs/1605.02559 (2016) - 2015
- [c28]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms. IPMI 2015: 275-287 - [c27]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Alexandre Routier, Olivier Colliot, Stanley Durrleman:
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data. IPMI 2015: 564-575 - [c26]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman:
Learning spatiotemporal trajectories from manifold-valued longitudinal data. NIPS 2015: 2404-2412 - 2014
- [j21]Pierre Besson, Vera Dinkelacker, Romain Valabrègue, Lionel Thivard, Xavier Leclerc, Michel Baulac, Daniela Sammler, Olivier Colliot, Stéphane Lehéricy, Séverine Samson, Sophie Dupont:
Structural connectivity differences in left and right temporal lobe epilepsy. NeuroImage 100: 135-144 (2014) - [c25]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. MICCAI (3) 2014: 289-296 - [c24]Claire Cury, Joan Alexis Glaunès, Marie Chupin, Olivier Colliot:
Fast Template-based Shape Analysis Using Diffeomorphic Iterative Centroid. MIUA 2014: 39-44 - 2013
- [j20]Rémi Cuingnet, Joan Alexis Glaunès, Marie Chupin, Habib Benali, Olivier Colliot