Bayesian Model Selection for Pathological Data. - Carole H. Sudre; Manuel Jorge Cardoso; Willem H. Bouvy; Geert Jan Biessels; Josephine Barnes; Sébastien Ourselin (MICCAI (1), 2014)

Bilayered anatomically constrained split-and-merge expectation maximisation algorithm (BiASM) for brain segmentation. - Carole H. Sudre; Manuel Jorge Cardoso; Sébastien Ourselin (Image Processing, 2014)

Template-Based Multimodal Joint Generative Model of Brain Data. - Manuel Jorge Cardoso; Carole H. Sudre; Marc Modat; Sébastien Ourselin (IPMI, 2015)

Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation. - Carole H. Sudre; Manuel Jorge Cardoso; Willem H. Bouvy; Geert Jan Biessels; Josephine Barnes; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2015)

Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. - Carole H. Sudre; Wenqi Li 001; Tom Vercauteren; Sébastien Ourselin; M. Jorge Cardoso (DLMIA/ML-CDS@MICCAI, 2017)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (CoRR, 2017)

Longitudinal segmentation of age-related white matter hyperintensities. - Carole H. Sudre; Manuel Jorge Cardoso; Sébastien Ourselin (Medical Image Anal., 2017)

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. - Aaron Carass; Snehashis Roy; Amod Jog; Jennifer L. Cuzzocreo; Elizabeth M. Sweeney; Adrian Gherman; Julia Button; James Nguyen; Ferran Prados; Carole H. Sudre; Manuel Jorge Cardoso; Niamh Cawley; et al. (NeuroImage, 2017)

Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. - Carla Semedo; M. Jorge Cardoso; Sjoerd B. Vos; Carole H. Sudre; Martina Bocchetta; Annemie Ribbens; Dirk Smeets; Jonathan D. Rohrer; Sébastien Ourselin (MICCAI (3), 2018)

PIMMS: Permutation Invariant Multi-modal Segmentation. - Thomas Varsavsky; Zach Eaton-Rosen; Carole H. Sudre; Parashkev Nachev; M. Jorge Cardoso (DLMIA/ML-CDS@MICCAI, 2018)

Imaging biomarkers for the diagnosis of Prion disease. - Liane S. Canas; Benjamin C. Yvernault; Carole H. Sudre; Enrico De Vita; M. Jorge Cardoso; John S. Thornton; Frederik Barkhof; Sébastien Ourselin; Simon Mead; Marc Modat (Image Processing, 2018)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (Comput. Methods Programs Biomed., 2018)

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Lorna Smith; Hans Rolf Jäger; M. Jorge Cardoso (CoRR, 2018)

Physics-Informed Brain MRI Segmentation. - Pedro Borges; Carole H. Sudre; Thomas Varsavsky; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; M. Jorge Cardoso (SASHIMI@MICCAI, 2019)

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. - Mauricio Orbes-Arteaga; Thomas Varsavsky; Carole H. Sudre; Zach Eaton-Rosen; Lewis J. Haddow; Lauge Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; Parashkev Nachev; M. Jorge Cardoso (DART/MIL3ID@MICCAI, 2019)

Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Ryutaro Tanno; Lorna Smith; Sébastien Ourselin; Hans Rolf Jäger; M. Jorge Cardoso (MICCAI (4), 2019)

MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty. - Richard Shaw; Carole H. Sudre; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2019)

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Lorna Smith; Sébastien Ourselin; Hans Rolf Jäger; M. Jorge Cardoso (MIDL, 2019)

High-dimensional detection of imaging response to treatment in multiple sclerosis. - Baris Kanber; Parashkev Nachev; Frederik Barkhof; Alberto Calvi; Jorge Cardoso 002; Rosa Cortese; Ferran Prados; Carole H. Sudre; Carmen Tur; Sébastien Ourselin; Olga Ciccarelli (npj Digit. Medicine, 2019)

Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. - Baris Kanber; Parashkev Nachev; Frederik Barkhof; Alberto Calvi; Jorge Cardoso 002; Rosa Cortese; Ferran Prados; Carole H. Sudre; Carmen Tur; Sébastien Ourselin; Olga Ciccarelli (npj Digit. Medicine, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Hierarchical Brain Parcellation with Uncertainty. - Mark S. Graham; Carole H. Sudre; Thomas Varsavsky; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; Manuel Jorge Cardoso (UNSURE/GRAIL@MICCAI, 2020)

Test-Time Unsupervised Domain Adaptation. - Thomas Varsavsky; Mauricio Orbes-Arteaga; Carole H. Sudre; Mark S. Graham; Parashkev Nachev; M. Jorge Cardoso (MICCAI (1), 2020)

Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. - Helena Williams; Laura Cattani; Mohammad Yaqub; Carole H. Sudre; Tom Vercauteren; Jan Deprest; Jan D'hooge (ASMUS/PIPPI@MICCAI, 2020)

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. - Richard Shaw; Carole H. Sudre; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2020)

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping. - Cher Bass; Mariana da Silva; Carole H. Sudre; Petru-Daniel Tudosiu; Stephen M. Smith 001; Emma C. Robinson (NeurIPS, 2020)

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. - Petru-Daniel Tudosiu; Thomas Varsavsky; Richard Shaw; Mark S. Graham; Parashkev Nachev; Sébastien Ourselin; Carole H. Sudre; M. Jorge Cardoso (CoRR, 2020)

Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. - Benjamin Murray; Eric Kerfoot; Mark S. Graham; Carole H. Sudre; Erika Molteni; Liane S. Canas; Michela Antonelli; Alessia Visconti; Andrew T. Chan; Paul W. Franks; Richard Davies; Jonathan Wolf; et al. (CoRR, 2020)

Biomechanical modelling of brain atrophy through deep learning. - Mariana da Silva; Kara Garcia; Carole H. Sudre; Cher Bass; M. Jorge Cardoso; Emma C. Robinson (CoRR, 2020)

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. - Carole H. Sudre; Jasmina Panovska; Eser Sanverdi; Sebastian Brandner; Vasileios K. Katsaros; George Stranjalis; Francesca B. Pizzini; Claudio Ghimenton; Katarina Surlan-Popovic; Jernej Avsenik; Maria Vittoria Spampinato; Mario Nigro; et al. (BMC Medical Informatics Decis. Mak., 2020)

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. - Cassidy M. Fiford; Carole H. Sudre; Hugh Pemberton; Phoebe Walsh; Emily N. Manning; Ian B. Malone; Jennifer Nicholas; Willem H. Bouvy; Owen T. Carmichael; Geert Jan Biessels; M. Jorge Cardoso; Josephine Barnes (Neuroinformatics, 2020)

A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. - Richard Shaw; Carole H. Sudre; Thomas Varsavsky; Sébastien Ourselin; M. Jorge Cardoso (IEEE Trans. Medical Imaging, 2020)

Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks. - Mariana da Silva; Carole H. Sudre; Kara Garcia; Cher Bass; M. Jorge Cardoso; Emma C. Robinson (MLCN@MICCAI, 2021)

Lesion-wise evaluation for effective performance monitoring of small object segmentation. - Irme Groothuis; Carole H. Sudre; Silvia Ingala; Josephine Barnes; Juan Domingo Gispert; Lauge Sørensen; Akshay Pai; Mads Nielsen; Sébastien Ourselin; M. Jorge Cardoso; Frederik Barkhof; Marc Modat (Image Processing, 2021)

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. - Cher Bass; Mariana da Silva; Carole H. Sudre; Logan Z. J. Williams; Petru-Daniel Tudosiu; Fidel Alfaro-Almagro; Sean P. Fitzgibbon; Matthew F. Glasser; Stephen M. Smith 001; Emma C. Robinson (CoRR, 2021)

Common Limitations of Image Processing Metrics: A Picture Story. - Annika Reinke; Matthias Eisenmann; Minu Dietlinde Tizabi; Carole H. Sudre; Tim Rädsch; Michela Antonelli; Tal Arbel; Spyridon Bakas; M. Jorge Cardoso; Veronika Cheplygina; Keyvan Farahani; Ben Glocker; et al. (CoRR, 2021)

Estimating MRI Image Quality via Image Reconstruction Uncertainty. - Richard Shaw; Carole H. Sudre; Sébastien Ourselin; M. Jorge Cardoso (CoRR, 2021)

A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation. - Richard Shaw; Carole H. Sudre; Sébastien Ourselin; M. Jorge Cardoso; Hugh G. Pemberton (CoRR, 2021)

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Ashkan Pakzad; Wing Keung Cheung; Kin Quan; Nesrin Mogulkoc; Coline H. M. Van Moorsel; Brian J. Bartholmai; Hendrik W. Van Es; Alper Ezircan; Frouke Van Beek; Marcel Veltkamp; Ronald A. Karwoski; Tobias Peikert; et al. (CoRR, 2021)

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. - Reuben Dorent; Thomas C. Booth; Wenqi Li 001; Carole H. Sudre; Sina Kafiabadi; Manuel Jorge Cardoso; Sébastien Ourselin; Tom Vercauteren (Medical Image Anal., 2021)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: A comparison of Deep learning tools on a Norwegian national imaging database. - Martin Soria Roevang; Per Selnes; Bradley J. MacIntosh; Inge Rasmus Groote; Lene Paalhaugen; Carole H. Sudre; Tormod Fladby; Atle Bjørnerud (CoRR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Association between carotid atherosclerosis and brain activation patterns during the Stroop task in older adults: An fNIRS investigation. - Sarah A. Mason; Lamia Al Saikhan; Siana Jones; Sarah-Naomi James; Heidi Murray-Smith; Alicja Rapala; Suzanne Williams; Carole H. Sudre; Brian Wong; Marcus Richards; Nick C. Fox; Rebecca Hardy; et al. (NeuroImage, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. - Mariam Zabihi; Chayanin Tangwiriyasakul; Silvia Ingala; Luigi Lorenzini; Robin Camarasa; Frederik Barkhof; Marleen de Bruijne; M. Jorge Cardoso; Carole H. Sudre (MLMI@MICCAI (2), 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. - Cher Bass; Mariana da Silva; Carole H. Sudre; Logan Z. J. Williams; Helena S. Sousa; Petru-Daniel Tudosiu; Fidel Alfaro-Almagro; Sean P. Fitzgibbon; Matthew F. Glasser; Stephen M. Smith 001; Emma C. Robinson (IEEE Trans. Medical Imaging, 2023)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? - 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; et al. (MICCAI (10), 2024)

Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms. - John McCabe; Daryl Cheng; Amyn Bhamani; Monica Mullin; Tanya Patrick; Arjun Nair; Sam M. Janes; Carole H. Sudre; Joseph Jacob (FAIMI/EPIMI@MICCAI, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Ashkan Pakzad; Wing Keung Cheung; Coline H. M. Van Moorsel; Kin Quan; Nesrin Mogulkoc; Brian J. Bartholmai; H. W. Van Es; Alper Ezircan; Frouke Van Beek; Marcel Veltkamp; Ronald A. Karwoski; T. Peikert; et al. (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims. - 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; et al. (CoRR, 2025)