Ninon Burgos

发表

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

Nick C Fox, M. Modat, S. Ourselin, 2017, BMC Neurology.

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

S. Durrleman, D. Dormont, O. Colliot, 2020, Frontiers in Psychiatry.

Multi-Atlas–Based Attenuation Correction for Brain 18F-FDG PET Imaging Using a Time-of-Flight PET/MR Scanner: Comparison with Clinical Single-Atlas– and CT-Based Attenuation Correction

S. Ourselin, A. Buck, G. Delso, 2016, The Journal of Nuclear Medicine.

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

Ninon Burgos, Sébastien Ourselin, Marc Modat, 2017, Physics in medicine and biology.

Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region

Ninon Burgos, David Atkinson, Brian F. Hutton, 2015, MICCAI.

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

S. Ourselin, N. Burgos, A. Dunlop, 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data

Jieqing Jiao, Ninon Burgos, David Atkinson, 2017, IEEE Transactions on Medical Imaging.

Simulating Alzheimer's disease progression with personalised digital brain models

S. Allassonnière, S. Durrleman, B. Charlier, 2018 .

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.

S. Durrleman, D. Dormont, O. Colliot, 2020, Medical image analysis.

How serious is data leakage in deep learning studies on Alzheimer's disease classification?

S. Durrleman, A. Routier, D. Dormont, 2019 .

Comparison of synthetic CT generation algorithms for MRI-only radiation planning in the pelvic region

H. Zaidi, Xiao Han, Hossein ARABI, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

S. Allassonnière, Ninon Burgos, E. Thibeau-Sutre, 2021, IEEE transactions on pattern analysis and machine intelligence.

Deciphering the progression of PET alterations using surface-based spatiotemporal modeling

S. Allassonnière, S. Durrleman, O. Colliot, 2019 .

Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic and Quantitative Review

S. Durrleman, D. Dormont, O. Colliot, 2019 .

Comparison of DTI Features for the Classification of Alzheimer's Disease: A Reproducible Study

S. Durrleman, A. Routier, O. Colliot, 2018 .

Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend

S. Durrleman, D. Dormont, F. D. V. Fallani, 2019, Journal of Neuroradiology.

Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data

T. Evgeniou, S. Durrleman, A. Routier, 2018 .

Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2019 .

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

S. Ourselin, A. Buck, G. Delso, 2016 .

Deep learning for brain disorders: from data processing to disease treatment

Ninon Burgos, Olivier Colliot, Simona Bottani, 2020, Briefings Bioinform..

New longitudinal and deep learning pipelines in the Clinica software platform

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2020 .

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

Ninon Burgos, M. Jorge Cardoso, Antje Knopf, 2016 .

Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies

Ninon Burgos, Pietro Gori, Junhao Wen, 2018, Frontiers in Neuroinformatics.

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

S. Allassonnière, Ninon Burgos, E. Thibeau-Sutre, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, Neuroinformatics.

Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data

Ninon Burgos, Olivier Colliot, Jorge Samper-González, 2019, Medical Imaging: Image Processing.

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, NeuroImage.

Reproducible evaluation of classification methods in Alzheimer’s disease: framework and application to MRI and PET data

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, bioRxiv.

Visualization approach to assess the robustness of neural networks for medical image classification

D. Dormont, O. Colliot, Ninon Burgos, 2019, Medical Imaging: Image Processing.

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2019, Medical Image Anal..

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

Ninon Burgos, David Atkinson, Brian F. Hutton, 2015, European Journal of Nuclear Medicine and Molecular Imaging.

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

Ninon Burgos, Sébastien Ourselin, Maria A. Zuluaga, 2015, Medical Image Anal..

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, Front. Neuroinform..

Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease

Ninon Burgos, Stanley Durrleman, Olivier Colliot, 2017, MLMI@MICCAI.

Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region

Ninon Burgos, Habib Zaidi, Hossein Arabi, 2018, Medical physics.

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

Ninon Burgos, Brian F. Hutton, Sébastien Ourselin, 2016, NeuroImage.

Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges.

Ninon Burgos, Olivier Colliot, O. Colliot, 2020, Current opinion in neurology.

Simulation and Synthesis in Medical Imaging: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Ninon Burgos, David Svoboda, Jelmer M. Wolterink, 2020, SASHIMI@MICCAI.

Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region

S Nill, U Oelfke, C P Kamerling, 2018, Physics in medicine and biology.

Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies

Ninon Burgos, David Atkinson, Brian F. Hutton, 2014, IEEE Transactions on Medical Imaging.

Simulation and Synthesis in Medical Imaging: 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Ninon Burgos, David Svoboda, Ali Gooya, 2019, SASHIMI@MICCAI.

Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks

Mohsen Ghafoorian, Rashindra Manniesing, S. Kern, 2018, Medical Imaging.

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

Ninon Burgos, M. Jorge Cardoso, Marc Modat, 2015, Alzheimer's & dementia.

Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept

Ninon Burgos, Andrew Melbourne, Pawel J Markiewicz, 2018, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

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

Jieqing Jiao, Ninon Burgos, David Atkinson, 2014, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

NiftyWeb: web based platform for image processing on the cloud

Ninon Burgos, M. Jorge Cardoso, Sebastien Ourselin, 2016 .

Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis

Jieqing Jiao, Pawel Markiewicz, Ninon Burgos, 2017, MICCAI.

Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data

Jieqing Jiao, Pawel Markiewicz, Ninon Burgos, 2017, IEEE Trans. Medical Imaging.

Attenuation Correction Synthesis for Hybrid PET-MR Scanners

Ninon Burgos, David Atkinson, Brian F. Hutton, 2013, MICCAI.

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

Meher R. Juttukonda, T. Benzinger, H. An, 2016 .