Ninon Burgos - RankMe

70 papers A 1B 7Journal 38Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automatic quality control of brain 3D FLAIR MRIs for a clinical data warehouse. Medical Image Anal. Sophie Loizillon, Simona Bottani, Aurélien Maire, Sebastian Ströer, Lydia Chougar, Didier Dormont, Olivier Colliot, Ninon Burgos
2025	J	`jnl`	False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims. CoRR Evangelia Christodoulou, Annika Reinke, Pascaline Andrè, Patrick Godau, Piotr Kalinowski, Rola Houhou, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Veronika Cheplygina, Charles Heitz, Michal Kozubek, Michela Antonelli, Nicola Rieke, Antoine Gilson, Leon D. Mayer, Minu Dietlinde Tizabi, Manuel Jorge Cardoso, Amber L. Simpson, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein
2025	J	`jnl`	Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement. CoRR Francesco Galati, Daniele Falcetta, Rosa Cortese, Ferran Prados, Ninon Burgos, Maria A. Zuluaga
2025	—	`conf`	Unsupervised Anomaly Detection Using Bayesian Flow Networks: Application to Brain FDG PET in the Context of Alzheimer's Disease. DGM4MICCAI@MICCAI Hugues Roy, Reuben Dorent, Ninon Burgos
2025	J	`jnl`	Unsupervised anomaly detection using Bayesian flow networks: application to brain FDG PET in the context of Alzheimer's disease. CoRR Hugues Roy, Reuben Dorent, Ninon Burgos
2024	J	`jnl`	Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation. CoRR Sophie Loizillon, Simona Bottani, Stéphane Mabille, Yannick Jacob, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
2024	J	`jnl`	Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data. Medical Image Anal. Sophie Loizillon, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
2024	—	`conf`	Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? MICCAI (10) 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
2024	J	`jnl`	Confidence intervals uncovered: Are we ready for real-world medical imaging AI? CoRR 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, Manuel Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein
2024	J	`jnl`	Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI. BMC Medical Imaging Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
2024	—	`conf`	Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter Hyperintensities. MIDL Sophie Loizillon, Yannick Jacob, Aurélien Maire, Didier Dormont, Olivier Colliot, Ninon Burgos, Apprimage Study Group
2024	J	`jnl`	Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET. CoRR Ravi Hassanaly, Camille Brianceau, Maëlys Solal, Olivier Colliot, Ninon Burgos
2024	—	`ed.`	Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	—	`conf`	Preface for International Conference on Medical Imaging with Deep Learning 2024. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2023	A	`conf`	A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation. BMVC Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga
2023	J	`jnl`	A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation. CoRR Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga
2023	J	`jnl`	Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière
2023	J	`jnl`	Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse. Medical Image Anal. Simona Bottani, Ninon Burgos, Aurélien Maire, Dario Saracino, Sebastian Ströer, Didier Dormont, Olivier Colliot
2023	B	`conf`	Exploiting hospital data warehouses: the challenges of image quality and heterogeneity (Conference Presentation). Image Processing Ninon Burgos
2023	J	`jnl`	Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. CoRR Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
2023	B	`conf`	How can data augmentation improve attribution maps for disease subtype explainability. Image Processing Elina Thibeau-Sutre, Jelmer M. Wolterink, Olivier Colliot, Ninon Burgos
2023	J	`jnl`	Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET. CoRR Maëlys Solal, Ravi Hassanaly, Ninon Burgos
2023	—	`conf`	Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse. DART@MICCAI Sophie Loizillon, Olivier Colliot, Lydia Chougar, Sebastian Ströer, Yannick Jacob, Aurélien Maire, Didier Dormont, Ninon Burgos
2023	B	`conf`	Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET. Image Processing Ravi Hassanaly, Simona Bottani, Benoît Sauty, Olivier Colliot, Ninon Burgos
2023	B	`conf`	Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI. Image Processing Sophie Loizillon, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
2023	—	`conf`	Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches. DGM4MICCAI Ravi Hassanaly, Camille Brianceau, Olivier Colliot, Ninon Burgos
2022	J	`jnl`	Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse. Medical Image Anal. Simona Bottani, Ninon Burgos, Aurélien Maire, Adam Wild, Sebastian Ströer, Didier Dormont, Olivier Colliot
2022	J	`jnl`	ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing. Comput. Methods Programs Biomed. Elina Thibeau-Sutre, Mauricio Diaz-Melo, Ravi Hassanaly, Alexandre Routier, Didier Dormont, Olivier Colliot, Ninon Burgos
2022	J	`jnl`	Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. CoRR Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
2022	B	`conf`	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 Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
2022	—	`book`	Individualised, interpretable and reproducible computer-aided diagnosis of dementia: towards application in clinical practice. Ninon Burgos
2022	J	`jnl`	Interpretability of Machine Learning Methods Applied to Neuroimaging. CoRR Elina Thibeau-Sutre, Sasha Collin, Ninon Burgos, Olivier Colliot
2022	—	`conf`	MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set. ISBI Elina Thibeau-Sutre, Baptiste Couvy-Duchesne, Didier Dormont, Olivier Colliot, Ninon Burgos
2022	J	`jnl`	Reproducibility in machine learning for medical imaging. CoRR Olivier Colliot, Elina Thibeau-Sutre, Ninon Burgos
2021	J	`jnl`	Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse. CoRR Simona Bottani, Ninon Burgos, Aurélien Maire, Adam Wild, Sebastian Ströer, Didier Dormont, Olivier Colliot
2021	J	`jnl`	Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers Neuroinformatics 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
2021	J	`jnl`	Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. CoRR Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière
2021	J	`jnl`	Deep learning for brain disorders: from data processing to disease treatment. Briefings Bioinform. Ninon Burgos, Simona Bottani, Johann Faouzi, Elina Thibeau-Sutre, Olivier Colliot
2021	J	`jnl`	Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 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
2021	J	`jnl`	Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease. Neuroinformatics Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot
2021	—	`ed.`	Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings SASHIMI@MICCAI David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao
2020	J	`jnl`	Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Medical Image Anal. Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot
2020	—	`ed.`	Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings SASHIMI@MICCAI Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao
2020	B	`conf`	Visualization approach to assess the robustness of neural networks for medical image classification. Image Processing Elina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos
2019	J	`jnl`	Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. CoRR Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-González, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot
2019	B	`conf`	Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. Image Processing Jorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot
2019	—	`ed.`	Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings SASHIMI@MICCAI Ninon Burgos, Ali Gooya, David Svoboda
2019	J	`jnl`	Visualization approach to assess the robustness of neural networks for medical image classification. CoRR Elina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos
2018	J	`jnl`	An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers Neuroinformatics Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie Odile Habert, Olivier Colliot
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage 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
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR 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
2018	J	`jnl`	Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease. CoRR Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot
2018	—	`ed.`	Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings SASHIMI@MICCAI Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos
2017	J	`jnl`	A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. NeuroImage Claes Nøhr Ladefoged, Ian Law, Udunna Anazodo, Keith St. Lawrence, David Izquierdo-Garcia, Ciprian Catana, Ninon Burgos, M. Jorge Cardoso, Sébastien Ourselin, Brian F. Hutton, Inés Mérida, Nicolas Costes, Alexander Hammers, Didier Benoit, Søren Holm, Meher R. Juttukonda, Hongyu An, Jorge Cabello, Mathias Lukas, Stephan G. Nekolla, Sibylle Ziegler, Matthias Fenchel, Bjoern Jakoby, Michael E. Casey, Tammie L. S. Benzinger, Liselotte Højgaard, Adam Espe Hansen, Flemming Littrup Andersen
2017	J	`jnl`	Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data. IEEE Trans. Medical Imaging Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Ninon Burgos, Philip S. J. Weston, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Pawel Markiewicz, Sébastien Ourselin
2017	—	`conf`	Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. CMMI/RAMBO/SWITCH@MICCAI Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie Odile Habert, Sébastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot
2017	—	`conf`	Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. MICCAI (2) Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Andrew Melbourne, Enrico De Vita, David Thomas, Ninon Burgos, Pawel Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin
2017	J	`jnl`	Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. CoRR Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2017	—	`conf`	Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. MLMI@MICCAI Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2016	—	`conf`	Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning. MICCAI (2) Ninon Burgos, Filipa Guerreiro, Jamie McClelland, Simeon Nill, David Dearnaley, Nandita deSouza, Uwe Oelfke, Antje-Christin Knopf, Sébastien Ourselin, M. Jorge Cardoso
2015	—	`conf`	Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors. IPMI Jieqing Jiao, Pawel Markiewicz, Ninon Burgos, David Atkinson, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin
2015	—	`conf`	Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases. ISBI Maria A. Zuluaga, Ninon Burgos, Andrew Mayall Taylor, Sébastien Ourselin
2015	—	`conf`	Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. MICCAI (2) Ninon Burgos, Manuel Jorge Cardoso, Filipa Guerreiro, Catarina Veiga, Marc Modat, Jamie McClelland, Antje-Christin Knopf, Shonit Punwani, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
2015	J	`jnl`	Simulated field maps for susceptibility artefact correction in interventional MRI. Int. J. Comput. Assist. Radiol. Surg. Martin Kochan, Pankaj Daga, Ninon Burgos, Mark White, Manuel Jorge Cardoso, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Danail Stoyanov, Sébastien Ourselin
2015	—	`conf`	Subject-specific Models for the Analysis of Pathological FDG PET Data. MICCAI (2) Ninon Burgos, Manuel Jorge Cardoso, Alex F. Mendelson, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
2015	J	`jnl`	Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. Medical Image Anal. Maria A. Zuluaga, Ninon Burgos, Alex F. Mendelson, Andrew Mayall Taylor, Sébastien Ourselin
2014	J	`jnl`	Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies. IEEE Trans. Medical Imaging Ninon Burgos, Manuel Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, Rebekah Ahmed, Colin J. Mahoney, Jonathan M. Schott, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
2014	—	`conf`	Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Data. MICCAI (1) Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Pawel Markiewicz, Ninon Burgos, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
2014	—	`conf`	Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI. IPCAI Martin Kochan, Pankaj Daga, Ninon Burgos, Mark White, Manuel Jorge Cardoso, Laura Mancini, Gavin Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Danail Stoyanov, Sébastien Ourselin
2013	—	`conf`	Attenuation Correction Synthesis for Hybrid PET-MR Scanners. MICCAI (1) Ninon Burgos, Manuel Jorge Cardoso, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin