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Unsupervised anomaly detection in brain FDG PET with deep generative models: An experimental analysis of model variability and mitigation strategies
Maëlys Solal
,
Pascaline André
,
Ninon Burgos
SPIE Medical Imaging 2026, Feb 2026, Vancouver, Canada
Communication dans un congrès
hal-05340039v2
|
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Unsupervised anomaly detection using Bayesian flow networks: application to brain FDG pet in the context of Alzheimer’s disease
Hugues Roy
,
Reuben Dorent
,
Ninon Burgos
Communication dans un congrès
hal-05322316v1
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Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection
Agathe Senellart
,
Maëlys Solal
,
Stéphanie Allassonnière
,
Ninon Burgos
ISBI 2026 - International Symposium on Biomedical Imaging, Apr 2026, London, United Kingdom
Communication dans un congrès
hal-05423947v2
|
|
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Latent maximum-a-posteriori approach to improve pseudo-healthy reconstruction quality
Agathe Senellart
,
Maëlys Solal
,
Ninon Burgos
,
Stéphanie Allassonnière
OHBM 2026 - Annual meeting of the Organization for Human Brain Mapping, Jun 2026, Bordeaux, France
Communication dans un congrès
hal-05560394v1
|
|
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Comparing Longitudinal Preprocessing Pipelines for Brain Volume Consistency in T1-Weighted MRI Test-Retest Scans
Matthieu Joulot
,
Olivier Colliot
,
Ninon Burgos
SPIE Medical Imaging 2026, Feb 2026, Vancouver, Canada
Communication dans un congrès
hal-05349492v1
|
|
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Mitiger le compromis entre détection et qualité de reconstruction en détection d'anomalies non-supervisée à partir de VAE
Agathe Senellart
,
Maëlys Solal
,
Stéphanie Allassonnière
,
Ninon Burgos
IABM 2026 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2026, Lyon, France
Communication dans un congrès
hal-05558926v1
|
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Étude de la qualité des IRM T1 et FLAIR de routine clinique au sein d'un entrepôt de données de santé de l'AP-HP
Manon Heffernan
,
Sophie Loizillon
,
Olivier Colliot
,
Ninon Burgos
IABM 2026 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2026, Lyon, France
Communication dans un congrès
hal-05483191v1
|
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Assessing the Efficacy of Artefact Synthesis and Transfer Learning for Quality Control in Clinical 3D FLAIR Brain MRI
Manon Heffernan
,
Sophie Loizillon
,
Sebastian Ströer
,
Lydia Chougar
,
Didier Dormont
et al.
SPIE Medical Imaging 2026, Feb 2026, Vancouver, Canada
Communication dans un congrès
hal-05444176v2
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Étude de la variabilité des modèles et construction de cartes d'anomalies tenant compte de l'incertitude à l'aide de modèles génératifs profonds non supervisés dans le cadre de la TEP-FDG en 3D du cerveau
Maëlys Solal
,
Ravi Hassanaly
,
Ninon Burgos
IABM 2025 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2025, Nice, France
Communication dans un congrès
hal-05444797v1
|
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Simulation d'artefacts pour le contrôle automatique de la qualité d'IRM cérébrales FLAIR en routine clinique
Manon Heffernan
,
Sophie Loizillon
,
Yannick Jacob
,
Aurélien Maire
,
Lydia Chougar
et al.
Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025), Mar 2025, Nice, France
Communication dans un congrès
hal-05088701v1
|
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Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter Hyperintensities
Sophie Loizillon
,
Yannick Jacob
,
Aurelien Maire
,
Didier Dormont
,
Olivier Colliot
et al.
Medical Imaging with Deep Learning - MIDL 2024, Jul 2024, Paris, France
Communication dans un congrès
hal-04674025v1
|
|
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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
et al.
Communication dans un congrès
hal-04419141v1
|
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Exploitation de la variabilité de la population contrôle pour la détection d'anomalies non supervisée par apprentissage profond en imagerie cérébrale FDG PET
Maëlys Solal
,
Ravi Hassanaly
,
Ninon Burgos
IABM 2024 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2024, Grenoble, France
Communication dans un congrès
hal-05443392v1
|
|
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Clinica, an open-source software to facilitate neuroimaging studies
Matthieu Joulot
,
Nicolas Gensollen
,
Ghislain Vaillant
,
Ninon Burgos
,
Olivier Colliot
Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France
Communication dans un congrès
hal-04653352v1
|
|
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Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI
Sophie Loizillon
,
Stéphane Mabille
,
Simona Bottani
,
Yannick Jacob
,
Aurélien Maire
et al.
SPIE Medical Imaging 2024: Image Processing, Feb 2024, San Diego (CA), United States. ⟨10.1117/12.3005781⟩
Communication dans un congrès
hal-04674029v1
|
|
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Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
Maëlys Solal
,
Ravi Hassanaly
,
Ninon Burgos
Communication dans un congrès
hal-04291561v2
|
|
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Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
Evangelia Christodoulou
,
Annika Reinke
,
Rola Houhou
,
Piotr Kalinowski
,
Selen Erkan
et al.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, Oct 2024, Marrakech, Morocco. pp.124-132, ⟨10.1007/978-3-031-72117-5_12⟩
Communication dans un congrès
hal-04715638v1
|
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Evaluation of pseudo-healthy reconstruction for anomaly detection in brain FDG PET
Ravi Hassanaly
,
Camille Brianceau
,
Maëlys Solal
,
Olivier Colliot
,
Ninon Burgos
MIDL 2024 - Medical Imaging with Deep Learning, Jul 2024, Paris, France
Communication dans un congrès
hal-05444841v1
|
|
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The intriguing effect of frequency disentangled learning on medical image segmentation
Guanghui Fu
,
Gabriel Jiménez
,
Sophie Loizillon
,
Lydia Chougar
,
Didier Dormont
et al.
Communication dans un congrès
hal-04654627v1
|
|
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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
et al.
Communication dans un congrès
hal-04362506v1
|
|
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Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI
Sophie Loizillon
,
Simona Bottani
,
Aurélien Maire
,
Sebastian Stroer
,
Didier Dormont
et al.
SPIE Medical Imaging 2023: Image Processing, Feb 2023, San Diego, United States
Communication dans un congrès
hal-03831746v2
|
|
|
From Nipype to Pydra: a Clinica story
Ghislain Vaillant
,
Nicolas Gensollen
,
Matthieu Joulot
,
Omar El-Rifai
,
Mauricio Diaz
et al.
OHBM 2023 - Annual meeting of the Organization for Human Brain Mapping, Jul 2023, Montreal, Canada
Communication dans un congrès
hal-04278898v1
|
|
|
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
Communication dans un congrès
hal-04185304v1
|
|
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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
et al.
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⟩
Communication dans un congrès
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
et al.
BMVC 2023, 34th British Machine Vision Conference, Nov 2023, Aberdeen, United Kingdom
Communication dans un congrès
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
Communication dans un congrès
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
Communication dans un congrès
hal-03835015v2
|
|
|
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
et al.
SPIE Medical Imaging 2022: Image Processing, Feb 2022, San Diego, United States. pp.576-582, ⟨10.1117/12.2608565⟩
Communication dans un congrès
hal-03478798v1
|
|
|
Advances in the Clinica software platform for clinical neuroimaging studies
Omar El Rifai
,
Mauricio Diaz Melo
,
Ravi Hassanaly
,
Matthieu Joulot
,
Alexandre M Routier
et al.
OHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom
Communication dans un congrès
hal-03728243v1
|
|
|
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
Communication dans un congrès
hal-04279014v1
|
|
|
MRI field strength predicts Alzheimer's disease: a case example of bias in the ADNI data set
Elina Thibeau-Sutre
,
Baptiste Couvy-Duchesne
,
Didier Dormont
,
Olivier Colliot
,
Ninon Burgos
Communication dans un congrès
hal-03542213v1
|
|
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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
et al.
MRI Together 2021 - A global workshop on Open Science and Reproducible MR Research, Dec 2021, Online, France
Communication dans un congrès
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
et al.
OHBM 2020 - Annual meeting of the Organization for Human Brain Mapping, Jun 2020, Montreal / Virtual, Canada
Communication dans un congrès
hal-02549242v1
|
|
|
Visualization approach to assess the robustness of neural networks for medical image classification
Elina Thibeau-Sutre
,
Olivier Colliot
,
Didier Dormont
,
Ninon Burgos
Communication dans un congrès
hal-02370532v3
|
|
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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
Communication dans un congrès
hal-02098427v2
|
|
|
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
et al.
Communication dans un congrès
hal-02025880v2
|
|
|
How serious is data leakage in deep learning studies on Alzheimer’s disease classification?
Junhao Wen
,
Elina Thibeau-Sutre
,
Jorge Samper-Gonzalez
,
Alexandre M Routier
,
Simona Bottani
et al.
Organization for Human Brain Mapping (OHBM), Jun 2019, Roma, Italy
Communication dans un congrès
hal-03365742v1
|
|
|
Deciphering the progression of PET alterations using surface-based spatiotemporal modeling
Igor Koval
,
Arnaud Marcoux
,
Ninon Burgos
,
Stéphanie Allassonnière
,
Olivier Colliot
et al.
OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02134909v1
|
|
|
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
et al.
2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02105134v2
|
|
|
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
et al.
2019 OHBM Annual meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02105133v2
|
|
|
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
et al.
OHBM 2019 - Organization for Human Brain Mapping Annual Meeting 2019, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02142315v1
|
|
|
New advances in the Clinica software platform for clinical neuroimaging studies
Alexandre Routier
,
Arnaud Marcoux
,
Mauricio Diaz Melo
,
Jérémy Guillon
,
Jorge Samper-González
et al.
Communication dans un congrès
hal-02132147v2
|
|
|
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
et al.
Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01757646v1
|
|
|
Three simple ideas for predicting progression to Alzheimer's disease
Jorge Samper-Gonzalez
,
Ninon Burgos
,
Simona Bottani
,
Marie-Odile Habert
,
Theodoros Evgeniou
et al.
8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01891996v1
|
|
|
Clinica: an open source software platform for reproducible clinical neuroscience studies
Alexandre Routier
,
Jérémy Guillon
,
Ninon Burgos
,
Jorge Samper-Gonzalez
,
Junhao Wen
et al.
Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapore, Singapore
Communication dans un congrès
hal-01760658v1
|
|
|
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
et al.
AAIC 2018 - Alzheimer's Association International Conference, Jul 2018, Chicago, United States
Communication dans un congrès
hal-01758167v2
|
|
|
Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data
Jorge Samper-Gonzalez
,
Simona Bottani
,
Ninon Burgos
,
Sabrina Fontanella
,
Pascal Lu
et al.
Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01761666v1
|
|
|
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
et al.
OHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01758206v3
|
|
|
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
et al.
30th Annual Congress of the European Association of Nuclear Medicine (EANM), Oct 2017, Vienna, Austria. pp.253 - 254, ⟨10.1007/s00259-017-3822-1⟩
Communication dans un congrès
hal-01632509v1
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|
|
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
et al.
Communication dans un congrès
hal-01827194v1
|
|
|
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
et al.
Communication dans un congrès
hal-01827192v1
|
|
|
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
et al.
Computational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Sep 2017, Quebec City, Canada
Communication dans un congrès
hal-01567343v1
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|
Short acquisition time PET quantification using MRI-based pharmacokinetic parameter synthesis
Catherine J. Scott
,
Jieqing Jiao
,
Jorge M. Cardoso
,
Andrew Melbourne
,
Enrico de Vita
et al.
Communication dans un congrès
hal-01827190v1
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|
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
et al.
AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.P1464--P1465, ⟨10.1016/j.jalz.2017.07.534⟩
Communication dans un congrès
istex
hal-01827188v1
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|
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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
et al.
MR in RT symposium, Jun 2017, Sydney, Australia
Communication dans un congrès
hal-01827193v1
|
|
|
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
et al.
Communication dans un congrès
hal-01827189v1
|
|
|
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
et al.
Machine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8
Communication dans un congrès
hal-01578479v1
|
|
|
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
et al.
Communication dans un congrès
hal-01621383v1
|
|
|
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
et al.
IPEM Workshop on MRI Guided Radiotherapy, Mar 2016, Sheffield, United Kingdom
Communication dans un congrès
hal-01827224v1
|
|
|
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
et al.
Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine – ISMRM 2016, May 2016, Singapore, Singapore
Communication dans un congrès
hal-01827200v1
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|
|
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
et al.
IEEE Nuclear Science Symposium and Medical Imaging Conference – IEEE NSS/MIC 2016, Oct 2016, Strasbourg, France
Communication dans un congrès
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
et al.
International Conference on the use of Computers in Radiation Therapy – ICCR 2016, Jun 2016, London, United Kingdom
Communication dans un congrès
hal-01827204v1
|
|
|
Joint segmentation and CT synthesis for MRI-only radiotherapy treatment planning
Ninon Burgos
,
Filipa Guerreiro
,
Jamie Mcclelland
,
Simeon Nill
,
David Dearnaley
et al.
Communication dans un congrès
hal-01827201v1
|
|
|
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
Communication dans un congrès
hal-01827198v1
|
|
|
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
et al.
RSNA 216 – Annual Meeting of the Radiological Society of North America, Nov 2016, Chicago, United States
Communication dans un congrès
hal-01827203v1
|
|
|
Subject-specific models for the analysis of pathological FDG PET data
Ninon Burgos
,
Jorge M. Cardoso
,
Alex F. Mendelson
,
Jonathan M. Schott
,
David Atkinson
et al.
Communication dans un congrès
hal-01827208v1
|
|
|
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
et al.
Annual Congress of the European Association of Nuclear Medicine – EANM 2015, Oct 2015, Hamburg, Germany. pp.S69, ⟨10.1007/s00259-015-3198-z⟩
Communication dans un congrès
hal-01827205v1
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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
et al.
Communication dans un congrès
hal-01827212v1
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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⟩
Communication dans un congrès
hal-01827216v1
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Detail-preserving PET reconstruction with sparse image representation and anatomical priors
Jieqing Jiao
,
Pawel Markiewicz
,
Ninon Burgos
,
David Atkinson
,
Brian Hutton
et al.
Communication dans un congrès
hal-01827210v1
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Robust CT synthesis for radiotherapy planning: Application to the head & neck region
Ninon Burgos
,
Jorge M. Cardoso
,
Filipa Guerreiro
,
Catarina Veiga
,
Marc Modat
et al.
Communication dans un congrès
hal-01827209v1
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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
et al.
MR in RT symposium, Jun 2015, Lund, Sweden
Communication dans un congrès
hal-01827206v1
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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
et al.
Communication dans un congrès
hal-01827207v1
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Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR
Ninon Burgos
,
K. Thielemans
,
M. J. Cardoso
,
P. Markiewicz
,
J. Jiao
et al.
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⟩
Communication dans un congrès
hal-01827220v1
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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
et al.
Communication dans un congrès
hal-01827222v1
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Image reconstruction of mMR PET data using the open source software STIR
Pawel Markiewicz
,
Kris Thielemans
,
Ninon Burgos
,
Richard Manber
,
Jieqing Jiao
et al.
Communication dans un congrès
hal-01827219v1
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Simulated field maps: Toward improved susceptibility artefact correction in interventional MRI
Martin Kochan
,
Pankaj Daga
,
Ninon Burgos
,
Mark White
,
Jorge M. Cardoso
et al.
Communication dans un congrès
hal-01827221v1
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Joint parametric reconstruction and motion correction framework for dynamic PET data
Jieqing Jiao
,
Alexandre Bousse
,
Kris Thielemans
,
Pawel Markiewicz
,
Ninon Burgos
et al.
Communication dans un congrès
hal-01827218v1
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Attenuation correction synthesis for hybrid PET-MR scanners
Ninon Burgos
,
Manuel Jorge Cardoso
,
Marc Modat
,
Stefano Pedemonte
,
John Dickson
et al.
Communication dans un congrès
istex
hal-01827223v1
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