Daniel C. Alexander

Orcid: 0000-0003-2439-350X

Affiliations:
  • University College London, UK


According to our database1, Daniel C. Alexander authored at least 214 papers between 1996 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
CenTime: Event-conditional modelling of censoring in survival analysis.
Medical Image Anal., January, 2024

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
Medical Image Anal., January, 2024

2023
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging, October, 2023

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.
NeuroImage, July, 2023

Learning from multiple annotators for medical image segmentation.
Pattern Recognit., June, 2023

Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage, May, 2023

Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset.
Frontiers Neuroinformatics, March, 2023

Low-field magnetic resonance image enhancement via stochastic image quality transfer.
Medical Image Anal., 2023

Brain-ID: Learning Robust Feature Representations for Brain Imaging.
CoRR, 2023

A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI.
CoRR, 2023

A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR, 2023

A data-centric deep learning approach to airway segmentation.
CoRR, 2023

Rician likelihood loss for quantitative MRI using self-supervised deep learning.
CoRR, 2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR, 2023

A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study.
CoRR, 2023

DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.
Proceedings of the Medical Imaging with Deep Learning, 2023

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Coupled-Mechanisms Modelling Framework for Neurodegeneration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Subtype and Stage Inference with Timescales.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Ten years of image analysis and machine learning competitions in dementia.
NeuroImage, 2022

Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal., 2022

Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.
Medical Image Anal., 2022

Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models.
Frontiers Artif. Intell., 2022

Deformably-Scaled Transposed Convolution.
CoRR, 2022

An Experiment Design Paradigm using Joint Feature Selection and Task Optimization.
CoRR, 2022

Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
CoRR, 2022

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
CoRR, 2022

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR, 2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.
CoRR, 2022

Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial.
IEEE Access, 2022

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset.
Proceedings of the Cancer Prevention Through Early Detection, 2022

Learning to Downsample for Segmentation of Ultra-High Resolution Images.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Gland segmentation in gastric histology images: detection of intestinal metaplasia.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms.
IEEE Trans. Medical Imaging, 2021

pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.
SoftwareX, 2021

Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases.
Neuroinformatics, 2021

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.
NeuroImage, 2021

Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835].
NeuroImage, 2021

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage, 2021

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
NeuroImage, 2021

Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study.
NeuroImage, 2021

Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.
NeuroImage, 2021

On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol.
NeuroImage, 2021

Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.
BMC Medical Informatics Decis. Mak., 2021

Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.
Medical Image Anal., 2021

Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease.
ACM Trans. Comput. Heal., 2021

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.
Frontiers Artif. Intell., 2021

A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease.
Frontiers Big Data, 2021

Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.
Frontiers Big Data, 2021

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
CoRR, 2021

MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR, 2021

A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access, 2021

Learning to Address Intra-segment Misclassification in Retinal Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression.
Proceedings of the Information Processing in Medical Imaging, 2021

Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests.
IEEE J. Biomed. Health Informatics, 2020

SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI.
NeuroImage, 2020

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage, 2020

Predicting Alzheimer's disease progression using deep recurrent neural networks.
NeuroImage, 2020

Multi-parametric quantitative <i>in vivo</i> spinal cord MRI with unified signal readout and image denoising.
NeuroImage, 2020

ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation.
NeuroImage, 2020

DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw., 2020

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
CoRR, 2020

Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression.
CoRR, 2020

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.
CoRR, 2020

Foveation for Segmentation of Ultra-High Resolution Images.
CoRR, 2020

Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.
CoRR, 2020

Disentangling Human Error from Ground Truth in Segmentation of Medical Images.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Trajectories of Disease Accumulation Using Electronic Health Records.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Learning to Segment When Experts Disagree.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Foveation for Segmentation of Mega-Pixel Histology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning To Pay Attention To Mistakes.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.
NeuroImage, 2019

A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal.
NeuroImage, 2019

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage, 2019

Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.
NeuroImage, 2019

Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI <i>in vivo</i>.
NeuroImage, 2019

Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR, 2019

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement.
CoRR, 2019

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.
CoRR, 2019

Disease Knowledge Transfer across Neurodegenerative Diseases.
CoRR, 2019

Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Disease Knowledge Transfer Across Neurodegenerative Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

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

Multi-stage Prediction Networks for Data Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI.
Proceedings of the Information Processing in Medical Imaging, 2019

Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation.
Proceedings of the Information Processing in Medical Imaging, 2019

Adaptive Neural Trees.
Proceedings of the 36th International Conference on Machine Learning, 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

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Susceptibility of brain atrophy to <i>TRIB3</i> in Alzheimer's disease, evidence from functional prioritization in imaging genetics.
Proc. Natl. Acad. Sci. USA, 2018

Experimental studies of g-ratio MRI in ex vivo mouse brain.
NeuroImage, 2018

Neuroimage special issue on microstructure - Editorial.
NeuroImage, 2018

Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI.
NeuroImage, 2018

Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain.
NeuroImage, 2018

Using diffusion MRI to discriminate areas of cortical grey matter.
NeuroImage, 2018

Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank.
NeuroImage, 2018

Modeling Alzheimer's disease progression using deep recurrent neural networks.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 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

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A tract-specific approach to assessing white matter in preterm infants.
NeuroImage, 2017

Machine learning based compartment models with permeability for white matter microstructure imaging.
NeuroImage, 2017

Early development of structural networks and the impact of prematurity on brain connectivity.
NeuroImage, 2017

Improved tractography using asymmetric fibre orientation distributions.
NeuroImage, 2017

Image quality transfer and applications in diffusion MRI.
NeuroImage, 2017

ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research.
CoRR, 2017

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Detecting and Classifying Nuclei on a Budget.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI.
NeuroImage, 2016

Multi-compartment microscopic diffusion imaging.
NeuroImage, 2016

Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease.
NeuroImage, 2016

Bayesian Image Quality Transfer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Microstructure Imaging Sequence Simulation Toolbox.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015
Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo.
NeuroImage, 2015

White matter compartment models for in vivo diffusion MRI at 300 mT/m.
NeuroImage, 2015

Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data.
NeuroImage, 2015

A simulation system for biomarker evolution in neurodegenerative disease.
Medical Image Anal., 2015

Multiple Orderings of Events in Disease Progression.
Proceedings of the Information Processing in Medical Imaging, 2015

Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series.
Proceedings of the Information Processing in Medical Imaging, 2015

Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2015

Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx).
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Image Registration.
Computer Vision, A Reference Guide, 2014

Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models.
NeuroImage, 2014

In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
The CONNECT project: Combining macro- and micro-structure.
NeuroImage, 2013

Prediction of Second Neurological Attack in Patients with Clinically Isolated Syndrome Using Support Vector Machines.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Tract-oriented statistical group comparison of diffusion in sheet-like white matter.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Ranking diffusion-MRI models with in-vivo human brain data.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure.
Proceedings of the Information Processing in Medical Imaging, 2013

Can T 2 -Spectroscopy Resolve Submicrometer Axon Diameters?
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Interactive Lesion Segmentation with Shape Priors From Offline and Online Learning.
IEEE Trans. Medical Imaging, 2012

Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison.
NeuroImage, 2012

Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging.
NeuroImage, 2012

An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.
NeuroImage, 2012

NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain.
NeuroImage, 2012

Probabilistic Event Cascades for Alzheimer's disease.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Axon diameter mapping in the presence of orientation dispersion with diffusion MRI.
NeuroImage, 2011

Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

A Bayesian framework for modelling the regional variation of white matter microstructure.
Proceedings of the Medical Image Understanding and Analysis, 2011

Hierarchy in structural brain networks.
Proceedings of the Medical Image Understanding and Analysis, 2011

Axon Diameter Mapping in Crossing Fibers with Diffusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Exploiting hierarchy in structural brain networks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Orientationally invariant indices of axon diameter and density from diffusion MRI.
NeuroImage, 2010

Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Optimization of the DCE-CT protocol using active imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q -Ball Analysis.
IEEE Trans. Medical Imaging, 2009

Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI.
IEEE Trans. Medical Imaging, 2009

Two-Compartment Models of the Diffusion MR Signal in Brain White Matter.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Active Imaging with Dual Spin-Echo Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2009

2008
Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy.
NeuroImage, 2008

Regularized super-resolution for diffusion MRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Model-based registration to correct for motion between acquisitions in diffusion MR imaging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Supervised methods for perfect segmentation in medical images.
Proceedings of the International Conference on Image Processing, 2008

2007
Guest Editorial Special Issue on Computational Diffusion MRI.
IEEE Trans. Medical Imaging, 2007

Abnormalities of language networks in temporal lobe epilepsy.
NeuroImage, 2007

Validation of in vitro probabilistic tractography.
NeuroImage, 2007

Exploiting peak anisotropy for tracking through complex structures.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Axon radius measurements in vivo from diffusion MRI: a feasibility study.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Colour Transfer by Feature Based Histogram Registration.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study.
NeuroImage, 2006

Deformable registration of diffusion tensor MR images with explicit orientation optimization.
Medical Image Anal., 2006

Diffusion-Tensor Image Registration.
Proceedings of the Visualization and Processing of Tensor Fields, 2006

An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond.
Proceedings of the Visualization and Processing of Tensor Fields, 2006

2005
Lateralization of ventral and dorsal auditory-language pathways in the human brain.
NeuroImage, 2005

Optimal imaging parameters for fiber-orientation estimation in diffusion MRI.
NeuroImage, 2005

An Automated Approach to Connectivity-Based Partitioning of Brain Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Maximum Entropy Spherical Deconvolution for Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2005

2004
Diffusion tensor magnetic resonance image regularization.
Medical Image Anal., 2004

Modelling Noise-Induced Fibre-Orientation Error in Diffusion-Tensor MRI.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies.
Proceedings of the Theory and Practice of Computer Graphics 2003 (TPCG 2003), 2003

A method for non-rigid registration of diffusion tensor magnetic resonance images.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Diffusion Tensor Orientation Matching for Image Registration.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information.
Proceedings of the Information Processing in Medical Imaging, 2003

Persistent Angular Structure: New Insights from Diffusion MRI Data. Dummy Version.
Proceedings of the Information Processing in Medical Imaging, 2003

2002
Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets.
NeuroImage, 2002

Non-rigid registration of diffusion tensor MR images.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
Spatial Transformations of Diffusion Tensor Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 2001

Statistical Modeling of Colour Data.
Int. J. Comput. Vis., 2001

A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images.
Proceedings of the Information Processing in Medical Imaging, 2001

2000
Elastic Matching of Diffusion Tensor Images.
Comput. Vis. Image Underst., 2000

Techniques for spatial normalization of diffusion tensor images.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999
Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Elastic Matching of Diffusion Tensor MRIs.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Advances in Daylight Statistical Colour Modelling.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Similarity Measures for Matching Diffusion Tensor Images.
Proceedings of the British Machine Vision Conference 1999, 1999

1997
Modelling of single mode distributions of colour data using directional statistics.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Implementational Improvements for Active Region Models.
Proceedings of the British Machine Vision Conference 1997, 1997

1996
An evaluation of physically based statistical colour models for image region characterisation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996


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