Carole H. Sudre
Orcid: 0000-0001-5753-428X
According to our database1,
Carole H. Sudre
authored at least 49 papers
between 2014 and 2024.
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Bibliography
2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
2023
ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
IEEE Trans. Medical Imaging, April, 2023
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Association between carotid atherosclerosis and brain activation patterns during the Stroop task in older adults: An fNIRS investigation.
NeuroImage, 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
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.
CoRR, 2022
CoRR, 2022
2021
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.
Medical Image Anal., 2021
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
CoRR, 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
CoRR, 2021
Lesion-wise evaluation for effective performance monitoring of small object segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
2020
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal.
IEEE Trans. Medical Imaging, 2020
Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change.
Neuroinformatics, 2020
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.
BMC Medical Informatics Decis. Mak., 2020
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets.
CoRR, 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis.
npj Digit. Medicine, 2019
npj Digit. Medicine, 2019
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
2018
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects.
CoRR, 2018
Comput. Methods Programs Biomed., 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
NeuroImage, 2017
Medical Image Anal., 2017
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
2015
Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation.
IEEE Trans. Medical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Bilayered anatomically constrained split-and-merge expectation maximisation algorithm (BiASM) for brain segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014