Manuel Jorge Cardoso

Orcid: 0000-0003-1284-2558

Affiliations:
  • King's College London, UK
  • University College London, UK (former)


According to our database1, Manuel Jorge Cardoso authored at least 201 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Acquisition-invariant brain MRI segmentation with informative uncertainties.
Medical Image Anal., February, 2024

Generating multi-pathological and multi-modal images and labels for brain MRI.
Medical Image Anal., 2024

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images.
Medical Image Anal., 2024

Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study.
CoRR, 2024

Cortical Surface Diffusion Generative Models.
CoRR, 2024

Lazy Resampling: Fast and information preserving preprocessing for deep learning.
Comput. Methods Programs Biomed., 2024


Using MR Physics for Domain Generalisation and Super-Resolution.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

2023
Latent Transformer Models for out-of-distribution detection.
Medical Image Anal., December, 2023

NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data.
Neuroinformatics, April, 2023

Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models.
Medical Image Anal., 2023

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

RAISE - Radiology AI Safety, an End-to-end lifecycle approach.
CoRR, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring.
IEEE Access, 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

InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Geometry-Invariant Abnormality Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Denoising diffusion models for out-of-distribution detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep forecasting of translational impact in medical research.
Patterns, 2022

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers.
Medical Image Anal., 2022

Current State of Community-Driven Radiological AI Deployment in Medical Imaging.
CoRR, 2022

Transformer-based normative modelling for anomaly detection of early schizophrenia.
CoRR, 2022

MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Solid NURBS Conforming Scaffolding for Isogeometric Analysis.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.
CoRR, 2022

Augmentation based unsupervised domain adaptation.
CoRR, 2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022

Fitting Segmentation Networks on Varying Image Resolutions Using Splatting.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Transformer-based out-of-distribution detection for clinically safe segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Brain Imaging Generation with Latent Diffusion Models.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Can Segmentation Models Be Trained with Fully Synthetically Generated Data?
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

2021
Robust parametric modeling of Alzheimer's disease progression.
NeuroImage, 2021

Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging.
NeuroImage, 2021

Imitation learning for improved 3D PET/MR attenuation correction.
Medical Image Anal., 2021

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.
Medical Image Anal., 2021

A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation.
CoRR, 2021

Estimating MRI Image Quality via Image Reconstruction Uncertainty.
CoRR, 2021

The Medical Segmentation Decathlon.
CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.
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

Unsupervised Brain Anomaly Detection and Segmentation with Transformers.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

An MRF-UNet Product of Experts for Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 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

The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

2020
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal.
IEEE Trans. Medical Imaging, 2020

The future of digital health with federated learning.
npj Digit. Medicine, 2020

Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging.
Neuroinformatics, 2020

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change.
Neuroinformatics, 2020

Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy.
NeuroImage, 2020

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI.
NeuroImage, 2020

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.
BMC Medical Informatics Decis. Mak., 2020

Biomechanical modelling of brain atrophy through deep learning.
CoRR, 2020

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI.
CoRR, 2020

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.
CoRR, 2020

Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation.
Comput. Methods Programs Biomed., 2020

Learned optical flow for intra-operative tracking of the retinal fundus.
Int. J. Comput. Assist. Radiol. Surg., 2020

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Test-Time Unsupervised Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Hierarchical Brain Parcellation with Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees.
IEEE Trans. Medical Imaging, 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

High-dimensional detection of imaging response to treatment in multiple sclerosis.
npj Digit. Medicine, 2019

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
Medical Image Anal., 2019

GAS: A genetic atlas selection strategy in multi-atlas segmentation framework.
Medical Image Anal., 2019

Machine learning and glioma imaging biomarkers.
CoRR, 2019

Methods and open-source toolkit for analyzing and visualizing challenge results.
CoRR, 2019

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track.
CoRR, 2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019

Grey matter sublayer thickness estimation in themouse cerebellum.
CoRR, 2019

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.
Proceedings of the Medical Imaging 2019: Image Processing, 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

Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Knowledge Distillation for Semi-supervised Domain Adaptation.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 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

Towards Quantifying Neurovascular Resilience.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Task-Specific and Shared Representations in Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Physics-Informed Brain MRI Segmentation.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

On the Initialization of Long Short-Term Memory Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging.
NeuroImage, 2018

Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction.
NeuroImage, 2018

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects.
CoRR, 2018

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs.
CoRR, 2018

Robust training of recurrent neural networks to handle missing data for disease progression modeling.
CoRR, 2018

NiftyNet: a deep-learning platform for medical imaging.
Comput. Methods Programs Biomed., 2018

An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Imaging biomarkers for the diagnosis of Prion disease.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

PIMMS: Permutation Invariant Multi-modal Segmentation.
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

Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Elastic Registration of Geodesic Vascular Graphs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Boosted Regression for MR to CT Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A Comparison of Accelerated and Non-accelerated MRI Scans for Brain Volume and Boundary Shift Integral Measures of Volume Change: Evidence from the ADNI Dataset.
Neuroinformatics, 2017

Spinal cord grey matter segmentation challenge.
NeuroImage, 2017

A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.
NeuroImage, 2017

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.
NeuroImage, 2017

Longitudinal segmentation of age-related white matter hyperintensities.
Medical Image Anal., 2017

Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy.
Frontiers Neuroinformatics, 2017

NiftyNet: a deep-learning platform for medical imaging.
CoRR, 2017

Generative diffeomorphic atlas construction from brain and spinal cord MRI data.
CoRR, 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

Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

VTrails: Inferring Vessels with Geodesic Connectivity Trees.
Proceedings of the Information Processing in Medical Imaging, 2017

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis.
NeuroImage, 2016

Variational inference for medical image segmentation.
Comput. Vis. Image Underst., 2016

Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis.
Comput. Vis. Image Underst., 2016

Fitting parametric models of diffusion MRI in regions of partial volume.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation.
IEEE Trans. Medical Imaging, 2015

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.
IEEE Trans. Medical Imaging, 2015

In vivo imaging of tau pathology using multi-parametric quantitative MRI.
NeuroImage, 2015

Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI.
NeuroImage, 2015

Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
NeuroImage, 2015

Probabilistic non-linear registration with spatially adaptive regularisation.
Medical Image Anal., 2015

Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal., 2015

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.
Medical Image Anal., 2015

Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning.
Int. J. Comput. Assist. Radiol. Surg., 2015

Simulated field maps for susceptibility artefact correction in interventional MRI.
Int. J. Comput. Assist. Radiol. Surg., 2015

Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Subject-specific Models for the Analysis of Pathological FDG PET Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes.
Proceedings of the Information Processing in Medical Imaging, 2015

Template-Based Multimodal Joint Generative Model of Brain Data.
Proceedings of the Information Processing in Medical Imaging, 2015

Improving MRI Brain Image Classification with Anatomical Regional Kernels.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies.
IEEE Trans. Medical Imaging, 2014

Preterm birth affects the developmental synergy between cortical folding and cortical connectivity observed on multimodal MRI.
NeuroImage, 2014

An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Bilayered anatomically constrained split-and-merge expectation maximisation algorithm (BiASM) for brain segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Bayesian Model Selection for Pathological Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-atlas based pathological stratification of D-TGA congenital heart disease.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014

2013
An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease.
NeuroImage, 2013

AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI.
NeuroImage, 2013

STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.
Medical Image Anal., 2013

A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Attenuation Correction Synthesis for Hybrid PET-MR Scanners.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013

2012
Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite.
IEEE Trans. Medical Imaging, 2012

MRI to X-ray mammography registration using a volume-preserving affine transformation.
Medical Image Anal., 2012

Inverse-Consistent Symmetric Free Form Deformation.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

Parametric non-rigid registration using a stationary velocity field.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Radial Structure in the Preterm Cortex; Persistence of the Preterm Phenotype at Term Equivalent Age?
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Cortical Folding Analysis on Patients with Alzheimer's Disease and Mild Cognitive Impairment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Geodesic Shape-Based Averaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Geodesic Information Flows.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Classification of Alzheimer's disease patients and controls with Gaussian processes.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
A comparison of voxel and surface based cortical thickness estimation methods.
NeuroImage, 2011

LoAd: A locally adaptive cortical segmentation algorithm.
NeuroImage, 2011

Log-Euclidean free-form deformation.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Topologically correct cortical segmentation using Khalimsky's cubic complex framework.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Adaptive Neonate Brain Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Longitudinal Cortical Thickness Estimation Using Khalimsky's Cubic Complex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Integrating structural and diffusion MR information for optic radiation localisation in focal epilepsy patients.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky's Cubic Complex.
Proceedings of the Information Processing in Medical Imaging, 2011

Improved Neuronavigation through Integration of Intraoperative Anatomical and Diffusion Images in an Interventional MRI Suite.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2011

2010
X-ray Mammography - MRI Registration Using a Volume-Preserving Affine Transformation and an EM-MRF for Breast Tissue Classification.
Proceedings of the Digital Mammography, 2010

Locally weighted Markov random fields for cortical segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009


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