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Ninon Burgos

109
Documents
Researcher identifiers

Presentation

[Ninon Burgos](https://ninonburgos.com/) is a CNRS researcher at the [Paris Brain Institute](http://icm-institute.org/) in the [ARAMIS Lab](http://www.aramislab.fr/). She completed her PhD at University College London in the [Centre for Medical Image Computing](http://www.ucl.ac.uk/medical-image-computing). She received an MSc in Biomedical Engineering from Imperial College London and an Engineering degree from a French Graduate School in Electrical Engineering and Computer Science (ENSEA). Her research currently focuses on the development of computational imaging tools to improve the understanding and diagnosis of neurological diseases.

Publications

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Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET

Ravi Hassanaly , Camille Brianceau , Maëlys Solal , Olivier Colliot , Ninon Burgos
Journal of Machine Learning for Biomedical Imaging, 2024, Special Issue for Generative Models, 2, pp.611. ⟨10.59275/j.melba.2024-b87a⟩
Journal articles hal-04315738v2
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Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data

Sophie Loizillon , Simona Bottani , Aurélien Maire , Sebastian Ströer , Didier Dormont
Medical Image Analysis, 2024, 93, pp.103073. ⟨10.1016/j.media.2023.103073⟩
Journal articles hal-03910451v2
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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
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Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse

Simona Bottani , Ninon Burgos , Aurélien Maire , Dario Saracino , Sebastian Stroer
Medical Image Analysis, 2023, 89, pp.102903
Journal articles hal-03656136v2
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Operationalizing the centiloid scale for [18 F]florbetapir PET studies on PET/MRI

William Coath , Marc Modat , M. Jorge Cardoso , Pawel Markiewicz , Christopher Lane
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023, 15 (2), ⟨10.1002/dad2.12434⟩
Journal articles hal-04099627v1
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Pilot Study of Repeated Blood-Brain Barrier Disruption in Patients with Mild Alzheimer's Disease with an Implantable Ultrasound Device

Stephane Epelbaum , Ninon Burgos , Michael Canney , Dawn Matthews , Marion Houot
Alzheimer's Research and Therapy, 2022, 14 (40), ⟨10.1186/s13195-022-00981-1⟩
Journal articles hal-03484130v1
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Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse

Simona Bottani , Ninon Burgos , Aurélien Maire , Adam Wild , Sébastian Ströer
Medical Image Analysis, 2022, 75, ⟨10.1016/j.media.2021.102219⟩
Journal articles hal-03154792v4
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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
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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
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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
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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
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Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease

Junhao Wen , Jorge Samper-González , Simona Bottani , Alexandre Routier , Ninon Burgos
Neuroinformatics, 2021, 19 (1), pp.57-78. ⟨10.1007/s12021-020-09469-5⟩
Journal articles hal-02566361v2
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Anomaly detection for the individual analysis of brain PET images

Ninon Burgos , Jorge M. Cardoso , Jorge Samper-González , Marie-Odile Habert , Stanley Durrleman​
Journal of Medical Imaging, 2021, 8 (02), pp.024003. ⟨10.1117/1.JMI.8.2.024003⟩
Journal articles hal-03193306v1
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AD Course Map charts Alzheimer’s disease progression

Igor Koval , Alexandre Bône , Maxime Louis , Thomas Lartigue , Simona Bottani
Scientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-87434-1⟩
Journal articles hal-01964821v3
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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
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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
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Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges

Ninon Burgos , Olivier Colliot
Current Opinion in Neurology, 2020, 33 (4), pp.439-450. ⟨10.1097/WCO.0000000000000838⟩
Journal articles hal-02902586v1
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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
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Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend

Didier Dormont , Noam Ben-Eliezer , Ninon Burgos , Olivier Colliot , Fabrizio de Vico Fallani
Journal de Neuroradiologie / Journal of Neuroradiology, 2019, 46 (2), pp.155-159. ⟨10.1016/j.neurad.2019.01.001⟩
Journal articles hal-02265305v1
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An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Arnaud Marcoux , Ninon Burgos , Anne Bertrand , Marc Teichmann , Alexandre Routier
Frontiers in Neuroinformatics, 2018, 12, ⟨10.3389/fninf.2018.00094⟩
Journal articles hal-01950933v1
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Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region

Hossein Arabi , Jason Dowling , Ninon Burgos , Xiao Han , Peter Greer
Medical Physics, 2018, ⟨10.1002/mp.13187⟩
Journal articles hal-01890646v1
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Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region

Jennifer Petra Kieselmann , Cornelis Philippus Kamerling , Ninon Burgos , Martin J. Menten , Clifton David Fuller
Physics in Medicine and Biology, 2018, 63 (14), ⟨10.1088/1361-6560/aacb65⟩
Journal articles hal-01827187v1
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Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Jorge Samper-González , Ninon Burgos , Simona Bottani , Sabrina Fontanella , Pascal Lu
NeuroImage, 2018, 183, pp.504-521. ⟨10.1016/j.neuroimage.2018.08.042⟩
Journal articles hal-01858384v2
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Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept

Catherine Scott , Jieqing Jiao , Andrew Melbourne , Ninon Burgos , David Cash
Journal of Cerebral Blood Flow and Metabolism, 2018, ⟨10.1177/0271678X18797343⟩
Journal articles hal-01871983v1

Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development

Christopher A. Lane , Thomas D. Parker , Dave M. Cash , Kirsty Macpherson , Elizabeth Donnachie
BMC Neurology, 2017, 17, pp.75. ⟨10.1186/s12883-017-0846-x⟩
Journal articles hal-01827191v1

Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning

Ninon Burgos , Filipa Guerreiro , M Mcclelland , Benoît Presles , M Modat
Physics in Medicine and Biology, 2017, 62 (11), pp.4237 - 4253. ⟨10.1088/1361-6560/aa66bf⟩
Journal articles hal-01556656v1

Direct parametric reconstruction with joint motion estimation/correction for dynamic brain PET data

J. Jiao , A. Bousse , K. Thielemans , Ninon Burgos , P. S. J. Weston
IEEE Transactions on Medical Imaging, 2017, 36 (1), pp.203--213. ⟨10.1109/TMI.2016.2594150⟩
Journal articles hal-01827197v1

A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients

Claes N. Ladefoged , Ian Law , Udunna Anazodo , Keith St. Lawrence , David Izquierdo-Garcia
NeuroImage, 2017, 147, pp.346--359. ⟨10.1016/j.neuroimage.2016.12.010⟩
Journal articles hal-01827196v1

Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning

F. Guerreiro , Ninon Burgos , A. Dunlop , K. Wong , I. Petkar
Physica Medica, 2017, 35, pp.7--17. ⟨10.1016/j.ejmp.2017.02.017⟩
Journal articles hal-01827195v1

Multi atlas-based attenuation correction for brain FDG- PET imaging using a TOF-PET/MR scanner: Comparison with clinical single atlas- and CT-based attenuation correction

Tetsuro Sekine , Ninon Burgos , Geoffrey Warnock , Martin Huellner , Alfred Buck
Journal of Nuclear Medicine, 2016, 57 (8), pp.1258--1264. ⟨10.2967/jnumed.115.169045⟩
Journal articles hal-01827202v1

Using florbetapir positron emission tomography to explore cerebrospinal fluid cut points and gray zones in small sample sizes

Philip S. J. Weston , Ross W. Paterson , Marc Modat , Ninon Burgos , Manuel J. Cardoso
Alzheimer's & Dementia : the Journal of the Alzheimer's Association, 2015, 1 (4), pp.440--446. ⟨10.1016/j.dadm.2015.10.001⟩
Journal articles hal-01827214v1

Simulated field maps for susceptibility artefact correction in interventional MRI

Martin Kochan , Pankaj Daga , Ninon Burgos , Mark White , Jorge M. Cardoso
International Journal of Computer Assisted Radiology and Surgery, 2015, 10 (9), pp.1405--1416. ⟨10.1007/s11548-015-1253-7⟩
Journal articles hal-01827211v1

Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers

Ninon Burgos , Jorge M. Cardoso , Kris Thielemans , Marc Modat , John Dickson
European Journal of Nuclear Medicine and Molecular Imaging, 2015, 42 (9), pp.1447--1458. ⟨10.1007/s00259-015-3082-x⟩
Journal articles hal-01827213v1

Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries

Maria A. Zuluaga , Ninon Burgos , Alex F. Mendelson , Andrew M. Taylor , Sébastien Ourselin
Medical Image Analysis, 2015, 26 (1), pp.185--194. ⟨10.1016/j.media.2015.09.001⟩
Journal articles hal-01827215v1

Attenuation correction synthesis for hybrid PET-MR scanners: Application to brain studies

Ninon Burgos , M. J. Cardoso , K. Thielemans , M. Modat , S. Pedemonte
IEEE Transactions on Medical Imaging, 2014, 33 (12), pp.2332--2341. ⟨10.1109/TMI.2014.2340135⟩
Journal articles hal-01827217v1
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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
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Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET

Maëlys Solal , Ravi Hassanaly , Ninon Burgos
SPIE Medical Imaging, Feb 2024, San Diego (California), United States
Conference papers hal-04291561v2
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Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networks

Théodore Soulier , Mariem Hamzaoui , Milena Sales Pitombeira , Daniele De Paula Faria , Arya Yazdan-Panah
SPIE Medical Imaging, Feb 2024, San Diego, United States
Conference papers hal-04362506v1
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Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse

Sophie Loizillon , Olivier Colliot , Lydia Chougar , Sebastian Stroer , Yannick Jacob
DART 2023 - 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, Oct 2023, Vancouver (BC), Canada. pp.84-93, ⟨10.1007/978-3-031-45857-6_9⟩
Conference papers hal-04273997v1
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A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation

Francesco Galati , Daniele Falcetta , Rosa Cortese , Barbara Casolla , Ferran Prados
BMVC 2023, 34th British Machine Vision Conference, Nov 2023, Aberdeen, United Kingdom
Conference papers hal-04195756v2
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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
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Simulation-based evaluation framework for deep learning unsupervised anomaly detection on brain FDG PET

Ravi Hassanaly , Simona Bottani , Benoît Sauty , Olivier Colliot , Ninon Burgos
SPIE Medical Imaging, Feb 2023, San Diego, United States
Conference papers hal-03835015v2
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Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approaches

Ravi Hassanaly , Camille Brianceau , Olivier Colliot , Ninon Burgos
Deep Generative Models workshop at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Oct 2023, Vancouver, Canada
Conference papers hal-04185304v1
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From Nipype to Pydra: a Clinica story

Ghislain Vaillant , Nicolas Gensollen , Matthieu Joulot , Omar El-Rifai , Mauricio Diaz
OHBM 2023 - Annual meeting of the Organization for Human Brain Mapping, Jul 2023, Montreal, Canada
Conference papers hal-04278898v1
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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
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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
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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
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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
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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
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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
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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
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Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data

Jorge Samper-Gonzalez , Ninon Burgos , Simona Bottani , Marie-Odile Habert , Theodoros Evgeniou
SPIE Medical Imaging 2019, Feb 2019, San Diego, United States. ⟨10.1117/12.2512430⟩
Conference papers hal-02025880v2
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Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patients

Manon Ansart , Ninon Burgos , Olivier Colliot , Didier Dormont , Stanley Durrleman
OHBM 2019 - Organization for Human Brain Mapping Conference, Jun 2019, Rome, Italy
Conference papers hal-02098427v2
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Deciphering the progression of PET alterations using surface-based spatiotemporal modeling

Igor Koval , Arnaud Marcoux , Ninon Burgos , Stéphanie Allassonnière , Olivier Colliot
OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Conference papers hal-02134909v1
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Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI

Junhao Wen​ , Jorge Samper-González​ , Alexandre M Routier , Simona Bottani​ , Stanley Durrleman​
2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Conference papers hal-02105134v2
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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
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Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study

Jorge Samper-Gonzalez , Ninon Burgos , Simona Bottani , Marie-Odile Habert , Theodoros Evgeniou
OHBM 2019 - Organization for Human Brain Mapping Annual Meeting 2019, Jun 2019, Rome, Italy
Conference papers hal-02142315v1
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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
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Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible study

Junhao Wen , Jorge Samper-Gonzalez , Simona Bottani , Alexandre Routier , Ninon Burgos
AAIC 2018 - Alzheimer's Association International Conference, Jul 2018, Chicago, United States
Conference papers hal-01758167v2
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Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data

Jorge Samper-Gonzalez , Simona Bottani , Ninon Burgos , Sabrina Fontanella , Pascal Lu
Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore
Conference papers hal-01761666v1
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A pipeline for the analysis of 18F-FDG PET data on the cortical surface and its evaluation on ADNI

Arnaud Marcoux , Ninon Burgos , Anne Bertrand , Alexandre Routier , Junhao Wen
Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore
Conference papers hal-01757646v1
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Comparison of DTI Features for the Classification of Alzheimer's Disease: A Reproducible Study

Junhao Wen , Jorge Samper-Gonzalez , Simona Bottani , Alexandre Routier , Ninon Burgos
OHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore
Conference papers hal-01758206v3
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Clinica: an open source software platform for reproducible clinical neuroscience studies

Alexandre Routier , Jérémy Guillon , Ninon Burgos , Jorge Samper-Gonzalez , Junhao Wen
Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapore, Singapore
Conference papers hal-01760658v1
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Three simple ideas for predicting progression to Alzheimer's disease

Jorge Samper-Gonzalez , Ninon Burgos , Simona Bottani , Marie-Odile Habert , Theodoros Evgeniou
8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapour, Singapore
Conference papers hal-01891996v1
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Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data

Ninon Burgos , Jorge Samper-González , Anne Bertrand , Marie-Odile Habert , Sébastien Ourselin
30th Annual Congress of the European Association of Nuclear Medicine (EANM), Oct 2017, Vienna, Austria. pp.253 - 254, ⟨10.1007/s00259-017-3822-1⟩
Conference papers hal-01632509v1

Brain volume, cerebral β-amyloid deposition, and ageing: A study of over 200 individuals born in the same week in 1946

Thomas Parker , David M. Cash , Christopher A. Lane , Heidi Murray-Smith , Andrew Wong
AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.P1464--P1465, ⟨10.1016/j.jalz.2017.07.534⟩
Conference papers hal-01827188v1

Short acquisition time PET quantification using MRI-based pharmacokinetic parameter synthesis

Catherine J. Scott , Jieqing Jiao , Jorge M. Cardoso , Andrew Melbourne , Enrico de Vita
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, 2017, Québec, Canada. pp.737--744, ⟨10.1007/978-3-319-66185-8_83⟩
Conference papers hal-01827190v1

Midlife affective symptoms are associated with lower brain volumes in later life: Evidence from a prospective UK birth cohort

Sarah-Naomi James , Thomas Parker , Christopher A. Lane , David M. Cash , Andrew Wong
AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.P212, ⟨10.1016/j.jalz.2017.07.086⟩
Conference papers hal-01827192v1
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Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns

Ninon Burgos , Jorge Samper-González , Anne Bertrand , Marie-Odile Habert , Sébastien Ourselin
Computational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Sep 2017, Quebec City, Canada
Conference papers hal-01567343v1

A comparison of techniques for quantifying amyloid burden on a combined PET/MR scanner

David M. Cash , Ninon Burgos , Marc Modat , John Dickson , Daniel Beasley
AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.P12--P13, ⟨10.1016/j.jalz.2017.06.2276⟩
Conference papers hal-01827194v1

Exploring the population prevalence of β-amyloid burden: An analysis of 250 individuals born in mainland Britain in the same week in 1946

Jonathan M. Schott , David M. Cash , Christopher A. Lane , Thomas Parker , Ninon Burgos
AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.P1088--P1089, ⟨10.1016/j.jalz.2017.06.1563⟩
Conference papers hal-01827189v1

Geometric and Dosimetric Evaluation of Three Atlas-based Segmentation Methods for Head and Neck Cancer Patients on MR Images

J. P Kieselmann , C. P. Kamerling , Ninon Burgos , M. J. Menten , S. Nill
MR in RT symposium, Jun 2017, Sydney, Australia
Conference papers hal-01827193v1
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Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease

Jorge Samper-Gonzalez , Ninon Burgos , Sabrina Fontanella , Hugo Bertin , Marie-Odile Habert
Machine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8
Conference papers hal-01578479v1
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Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data

Ninon Burgos , Jorge Samper-González , Jorge M. Cardoso , Stanley Durrleman , Sébastien Ourselin
AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.1-2, ⟨10.1016/j.jalz.2017.06.1618⟩
Conference papers hal-01621383v1

A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients

Claes N. Ladefoged , Ian Law , Udunna Anazodo , Keith St. Lawrence , David Izquierdo-Garcia
IEEE Nuclear Science Symposium and Medical Imaging Conference – IEEE NSS/MIC 2016, Oct 2016, Strasbourg, France
Conference papers hal-01827199v1

Simultaneous organ-at-risk segmentation and CT synthesis in the pelvic region for MRI-only radiotherapy treatment planning

Ninon Burgos , Jorge M. Cardoso , Filipa Guerreiro , Jamie Mcclelland , Antje-Christin Knopf
International Conference on the use of Computers in Radiation Therapy – ICCR 2016, Jun 2016, London, United Kingdom
Conference papers hal-01827204v1

CT synthesis in the head & neck and pelvic regions for radiotherapy treatment planning

Ninon Burgos , Jorge M. Cardoso , Filipa Guerreiro , Jamie Mcclelland , Antje-Christin Knopf
IPEM Workshop on MRI Guided Radiotherapy, Mar 2016, Sheffield, United Kingdom
Conference papers hal-01827224v1

NiftyWeb: web based platform for image processing on the cloud

F. Prados Carrasco , M. J. Cardoso , Ninon Burgos , C. A. M. Wheeler-Kingshott , S. Ourselin
Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine – ISMRM 2016, May 2016, Singapore, Singapore
Conference papers hal-01827198v1

Joint segmentation and CT synthesis for MRI-only radiotherapy treatment planning

Ninon Burgos , Filipa Guerreiro , Jamie Mcclelland , Simeon Nill , David Dearnaley
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, Oct 2016, Athens, Greece. pp.547--555, ⟨10.1007/978-3-319-46723-8_63⟩
Conference papers hal-01827201v1

A multi-method, multi-center study of PET/MRI brain attenuation correction on a large cohort of [18F]- FDG patients: ready for clinical implementation

Claes N. Ladefoged , Ian Law , Udunna Anazodo , David Izquierdo-Garcia , Ninon Burgos
RSNA 216 – Annual Meeting of the Radiological Society of North America, Nov 2016, Chicago, United States
Conference papers hal-01827203v1

Multi atlas-based attenuation correction for brain FDG- PET imaging using a TOF-PET/MR scanner: Comparison with clinical single atlas- and CT-based attenuation correction

Tetsuro Sekine , Ninon Burgos , Geoffrey Warnock , Martin Huellner , Alfred Buck
Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine – ISMRM 2016, May 2016, Singapore, Singapore
Conference papers hal-01827200v1

Detail-preserving PET reconstruction with sparse image representation and anatomical priors

Jieqing Jiao , Pawel Markiewicz , Ninon Burgos , David Atkinson , Brian Hutton
Information Processing in Medical Imaging – IPMI 2015, Jun 2015, Isle of Skye, United Kingdom. pp.540--551, ⟨10.1007/978-3-319-19992-4_42⟩
Conference papers hal-01827210v1

Subject-specific models for the analysis of pathological FDG PET data

Ninon Burgos , Jorge M. Cardoso , Alex F. Mendelson , Jonathan M. Schott , David Atkinson
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2015, Oct 2015, Munich, Germany. pp.651--658, ⟨10.1007/978-3-319-24571-3_78⟩
Conference papers hal-01827208v1

Evaluation of different approaches to obtain synthetic CT images for a MRI-only radiotherapy workflow

F. Guerreiro , J. Mcclelland , Ninon Burgos , M. J. Cardoso , A. Dunlop
MR in RT symposium, Jun 2015, Lund, Sweden
Conference papers hal-01827206v1

Robust CT synthesis for radiotherapy planning: Application to the head & neck region

Ninon Burgos , Jorge M. Cardoso , Filipa Guerreiro , Catarina Veiga , Marc Modat
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2015, Oct 2015, Munich, Germany. pp.476--484, ⟨10.1007/978-3-319-24571-3_57⟩
Conference papers hal-01827209v1
Image document

Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases

M. A. Zuluaga , Ninon Burgos , A. M. Taylor , S. Ourselin
IEEE International Symposium on Biomedical Imaging – IEEE ISBI 2015, Apr 2015, New-York, United States. pp.290--293, ⟨10.1109/ISBI.2015.7163870⟩
Conference papers hal-01827216v1

CT synthesis in the head & neck region for PET/MR attenuation correction: an iterative multi-atlas approach

Ninon Burgos , Jorge M. Cardoso , Marc Modat , Shonit Punwani , David Atkinson
Conference on PET/MR and SPECT/MR – PSMR 2015, May 2015, Elba, Italy. pp.A31, ⟨10.1186/2197-7364-2-S1-A31⟩
Conference papers hal-01827212v1

Partial Volume Correction of Amyvid and FDG PET data using the discrete iterative Yang technique

J. C. Dickson , K. Erlandsson , M. Lehmann , M. Modat , Ninon Burgos
Annual Congress of the European Association of Nuclear Medicine – EANM 2015, Oct 2015, Hamburg, Germany. pp.S69, ⟨10.1007/s00259-015-3198-z⟩
Conference papers hal-01827205v1

Establishment of an open database of realistic simulated data for evaluation of partial volume correction techniques in brain PET/MR

Ana Mota , Vesna Cuplov , Jonathan Schott , Brian Hutton , Kris Thielemans
Conference on PET/MR and SPECT/MR – PSMR 2015, May 2015, Elba, Italy. pp.A44, ⟨10.1186/2197-7364-2-S1-A44⟩
Conference papers hal-01827207v1

Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR

Ninon Burgos , K. Thielemans , M. J. Cardoso , P. Markiewicz , J. Jiao
IEEE Nuclear Science Symposium and Medical Imaging Conference – IEEE NSS/MIC 2014, Nov 2014, Seattle, United States. pp.1--5, ⟨10.1109/NSSMIC.2014.7430775⟩
Conference papers hal-01827220v1

Attenuation correction synthesis for hybrid PET-MR scanners: validation for brain study applications

Ninon Burgos , Jorge M. Cardoso , Kris Thielemans , John S. Duncan , David Atkinson
Conference on PET/MR and SPECT/MR – PSMR 2014, May 2014, Kos, Greece. pp.A52, ⟨10.1186/2197-7364-1-S1-A52⟩
Conference papers hal-01827222v1

Joint parametric reconstruction and motion correction framework for dynamic PET data

Jieqing Jiao , Alexandre Bousse , Kris Thielemans , Pawel Markiewicz , Ninon Burgos
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Sep 2014, Boston, United States. pp.114-121, ⟨10.1007/978-3-319-10404-1_15⟩
Conference papers hal-01827218v1

Simulated field maps: Toward improved susceptibility artefact correction in interventional MRI

Martin Kochan , Pankaj Daga , Ninon Burgos , Mark White , Jorge M. Cardoso
Information Processing in Computer-Assisted Interventions – IPCAI 2014, Jun 2014, Fukuoka, Japan. pp.226--235, ⟨10.1007/978-3-319-07521-1_24⟩
Conference papers hal-01827221v1

Image reconstruction of mMR PET data using the open source software STIR

Pawel Markiewicz , Kris Thielemans , Ninon Burgos , Richard Manber , Jieqing Jiao
Conference on PET/MR and SPECT/MR – PSMR 2014, May 2014, Kos, Greece. pp.A44, ⟨10.1186/2197-7364-1-S1-A44⟩
Conference papers hal-01827219v1

Attenuation correction synthesis for hybrid PET-MR scanners

Ninon Burgos , Manuel Jorge Cardoso , Marc Modat , Stefano Pedemonte , John Dickson
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, Sep 2013, Nagoya, Japan. pp.147--154, ⟨10.1007/978-3-642-40811-3_19⟩
Conference papers hal-01827223v1
Image document

Reproducibility in machine learning for medical imaging

Olivier Colliot , Elina Thibeau-Sutre , Ninon Burgos
Olivier Colliot. Machine Learning for Brain Disorders, Springer, 2023
Book sections hal-03957240v2
Image document

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
Image document

Medical image synthesis using segmentation and registration

Ninon Burgos
Biomedical Image Synthesis and Simulation, Elsevier, pp.55-77, 2022, 9780128243497. ⟨10.1016/B978-0-12-824349-7.00011-6⟩
Book sections hal-03721697v1
Image document

Future trends in medical and biomedical image synthesis

Ninon Burgos , Sotirios A Tsaftaris , David Svoboda
Ninon Burgos; David Svoboda. Biomedical Image Synthesis and Simulation, Elsevier, pp.643-645, 2022, 978-0-12-824349-7. ⟨10.1016/B978-0-12-824349-7.00034-7⟩
Book sections hal-03721950v1
Image document

Neuroimaging in Machine Learning for Brain Disorders

Ninon Burgos
Olivier Colliot. Machine Learning for Brain Disorders, Springer, inPress
Book sections hal-03814787v1
Image document

Introduction to medical and biomedical image synthesis

David Svoboda , Ninon Burgos
Ninon Burgos; David Svoboda. Biomedical Image Synthesis and Simulation, Elsevier, pp.1-3, 2022, 978-0-12-824349-7. ⟨10.1016/B978-0-12-824349-7.00008-6⟩
Book sections hal-03721967v1
Image document

Validation and evaluation metrics for medical and biomedical image synthesis

Tereza Nečasová , Ninon Burgos , David Svoboda
Biomedical Image Synthesis and Simulation, Elsevier, pp.573-600, 2022, 978-0-12-824349-7. ⟨10.1016/B978-0-12-824349-7.00032-3⟩
Book sections hal-03721947v1