Daniel C. Alexander

Daniel C. Alexander, Geoffrey J. M. Parker, Shahrum Nedjati-Gilani, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Orientationally invariant axon-size and density weighted MRI

Daniel C. Alexander, Gjm Parker, Matthew D. Hall, 2009 .

Microstructure Tracking (Microtrack): an algorithm for estimating a multiscale hierarchical white matter model from diffusion-weighted MRI.

Daniel C. Alexander, Anthony J. Sherbondy, Maurice Ptito, 2011 .

Guest Editorial Special Issue on Computational Diffusion MRI

Carl-Fredrik Westin, Daniel C. Alexander, T. Jiang, 2007, IEEE Trans. Medical Imaging.

Quantitative histological correlates of NODDI orientation dispersion estimates in the human spinal cord

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2015 .

Techniques for spatial normalization of diffusion tensor images

James C. Gee, Carlo Pierpaoli, Daniel C. Alexander, 2000, Medical Imaging: Image Processing.

Validation of in vitro probabilistic tractography

Jacob Jelsing, Olaf B. Paulson, Bente Pakkenberg, 2007, NeuroImage.

Visualizing inter-subject coherence of axonal fiber orientation by diffusion tensor MRI

Derek K. Jones, Daniel C. Alexander, S C R Williams, 2002 .

Chapter 4 – Multiple Fibers: Beyond the Diffusion Tensor

Daniel C. Alexander, Kiran K. Seunarine, D. Alexander, 2009 .

Tractography with multiple fibre directions

Daniel C. Alexander, R Blyth, Philip A. Cook, 2003 .

Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation

Daniel C. Alexander, Marco Palombo, Ross Callaghan, 2019, IPMI.

InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI

Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander, 2019, IPMI.

Double Oscillating Diffusion Encoding (DODE) augments microscopic anisotropy contrast

Daniel C. Alexander, Noam Shemesh, Andrada Ianuş, 2015 .

Image quality transfer and applications in diffusion MRI

Antonio Criminisi, Tim B. Dyrby, Hui Zhang, 2017, NeuroImage.

Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI

Daniel C. Alexander, Matt G. Hall, D. Alexander, 2009, IEEE Transactions on Medical Imaging.

A method for non-rigid registration of diffusion tensor magnetic resonance images

James C. Gee, Mariano Rivera, Daniel C. Alexander, 2003, SPIE Medical Imaging.

An Unsupervised Group Average Cortical Parcellation Using Diffusion MRI to Probe Cytoarchitecture

Daniel C. Alexander, Zoltan Nagy, Martin I. Sereno, 2016, MICCAI 2016.

Learning Task-Specific and Shared Representations in Medical Imaging

M. Jorge Cardoso, Sébastien Ourselin, Daniel C. Alexander, 2019, MICCAI.

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

Daniel C. Alexander, Marco Lorenzi, Sara Garbarino, 2019, NeuroImage.

Fuzzy partial volume correction of spinal cord DTI parameters

David L. Thomas, Daniel C. Alexander, Torben Schneider, 2011 .

Predicting Alzheimer’s disease progression using deep recurrent neural networks✩

B. T. Thomas Yeo, Jiashi Feng, Daniel C. Alexander, 2019, NeuroImage.

Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields

Daniel C. Alexander, Eleftheria Panagiotaki, Joseph G. Jacobs, 2014, MLMI.

Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo

Joseph V. Hajnal, Hui Zhang, Daniel C. Alexander, 2019, NeuroImage.

Optimal sampling for quantitative magnetization transfer

Daniel C. Alexander, Mara Cercignani, 2006 .

Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study

John S. Duncan, Gareth J. Barker, Daniel C. Alexander, 2006, NeuroImage.

Cross-vendor and cross-protocol harmonisation of diffusion MRI data: A comparative study

Jelle Veraart, Alexander Leemans, Samuel St-Jean, 2018 .

Hierarchy in structural brain networks

Daniel Rueckert, Fani Deligianni, David J. Sharp, 2011, MIUA.

In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation

Daniel C. Alexander, Torben Schneider, Claudia A. M. Wheeler-Kingshott, 2010, MICCAI.

An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease

Sébastien Ourselin, Marc Modat, Nick C. Fox, 2011, IPMI.

Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings

Carl-Fredrik Westin, M. Jorge Cardoso, Sebastien Ourselin, 2015 .

TRACING MEYER'S LOOP: TEMPORAL LOBE RESECTION, VISUAL FIELD DEFICITS, AND TRACTOGRAPHY

John S. Duncan, Daniel C. Alexander, Mahinda Yogarajah, 2008 .

Modeling Alzheimer’s disease progression using deep recurrent neural networks

B. T. Thomas Yeo, Jiashi Feng, Daniel C. Alexander, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Optimised Gradient Waveform Spin-Echo sequence for Diffusion Weighted MR in a Microstructure Phantom

Mark F. Lythgoe, Daniel C. Alexander, B Siow, 2011 .

In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI

Daniel C. Alexander, Torben Schneider, Hui Zhang, 2014, MICCAI.

Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Crossing Fibre Information

Daniel C. Alexander, Gjm Parker, 2003 .

The UCL Centre for Medical Image Computing (CMIC): An integrated suite of open source software tools to support imaging research in Neurosciences, Oncology and Cardiovascular Sciences

M. Jorge Cardoso, Marc Modat, Lianghao Han, 2011 .

Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution

Sébastien Ourselin, Daniel C. Alexander, Marco Lorenzi, 2015, MLMMI@ICML.

Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI

Daniel C. Alexander, Ivana Drobnjak, Andrada Ianus, 2015, IPMI.

Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data

Jean-Philippe Thiran, Tim B. Dyrby, Hui Zhang, 2015, NeuroImage.

Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning pdf

M. Jorge Cardoso, Sébastien Ourselin, David J. Hawkes, 2018, MICCAI.

Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain

Daniel C. Alexander, Sune Nørhøj Jespersen, Ivana Drobnjak, 2017, NeuroImage.

Examination of White Matter Tissue Structures in the Human Brain

Philip A. Cook, Daniel C. Alexander, D. Alexander, 2002 .

Deformable registration of diffusion tensor MR images with explicit orientation optimization

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2006, Medical Image Anal..

Auditory-language networks involving the superior temporal gyrus: patterns of connection and lateralization

Cam Wheeler-Kingshott, Daniel C. Alexander, Olga Ciccarelli, 2006 .

Abnormalities of language networks in temporal lobe epilepsy

John S. Duncan, Gareth J. Barker, Daniel C. Alexander, 2007, NeuroImage.

Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI

Hui Zhang, Daniel C. Alexander, D. Alexander, 2010, MICCAI.

A Bayesian framework for modelling the regional variation of white matter microstructure

Hui Zhang, Daniel C. Alexander, Brandon J. Whitcher, 2011, MIUA.

Diffusion-Tensor Image Registration

James C. Gee, Daniel C. Alexander, J. Gee, 2006, Visualization and Processing of Tensor Fields.

An algorithm for preservation of orientation during non-rigid warps of DT-MR images

James C. Gee, Daniel C. Alexander, Peter J. Basser, 2001 .

White matter compartment models for in vivo diffusion MRI at 300mT/m

Lawrence L. Wald, Daniel C. Alexander, Uran Ferizi, 2015, NeuroImage.

Lateralisation of connective pathways between language centres demonstrated using group analysis of fibre tracking incorporating crossing fibre information

Cam Wheeler-Kingshott, Daniel C. Alexander, Gjm Parker, 2004 .

Diffusion tensor magnetic resonance image regularization

Simon R. Arridge, Daniel C. Alexander, Olivier Coulon, 2004, Medical Image Anal..

Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank

Christopher Rorden, Ludovica Griffanti, Stephen M. Smith, 2017 .

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

Daniel C. Alexander, Noam Shemesh, Hui Zhang, 2021, NeuroImage.

Ordering diffusion-weighted MRI measurements improves results from partially completed scans

Daniel C. Alexander, Philip A. Cook, Mark R. Symms, 2006 .

Measuring axial and radial diffusivities in the brain.

Cam Wheeler-Kingshott, Daniel C. Alexander, Mara Cercignani, 2009 .

An unsupervised group average cortical parcellation using HARDI data

Daniel C. Alexander, Zoltán Nagy, Martin I. Sereno, 2015 .

Optimization of the DCE-CT protocol using active imaging

Daniel C. Alexander, Raphael Prevost, David L. Buckley, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Combined diffuse scatter spectroscopy and diffusion NMR for quantitative characterization of microstructure

Daniel C. Alexander, Jeremy C. Hebden, Adam P. Gibson, 2014 .

Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy

John S. Duncan, Gareth J. Barker, Daniel C. Alexander, 2007, NeuroImage.

Feasibility of Measuring Microstructural Features of Systems with Intermediate Exchange and Sub-Cellular Compartmentalization Using Diffusion MRI

D. Le Bihan, Cyril Poupon, Daniel C. Alexander, 2010 .

Probabilistic Time Series Models for Statistical Shape Priors in Region Contouring

Daniel C. Alexander, Tony Shepherd, D. Alexander, 2009, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Monte-Carlo studies of multiple-fibre reconstruction algorithms for diffusion MRI

Daniel C. Alexander, 2005 .

Interactive Lesion Segmentation with Shape Priors From Offline and Online Learning

Daniel C. Alexander, Simon Prince, Tony Shepherd, 2012, IEEE Transactions on Medical Imaging.

Current Applications and Future Promises of Machine Learning in Diffusion MRI

Daniel C. Alexander, Nooshin Ghavami, Andrada Ianuş, 2019, Computational Diffusion MRI.

Lateralization of ventral and dorsal auditory-language pathways in the human brain

Matthew A. Lambon Ralph, Daniel C. Alexander, Geoffrey J. M. Parker, 2005, NeuroImage.

Ranking diffusion-MRI models with in-vivo human brain data

Daniel C. Alexander, Uran Ferizi, Torben Schneider, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Modelling, Fitting and Sampling in Diffusion MRI

Daniel C. Alexander, D. Alexander, 2009 .

Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM

David H. Miller, Daniel C. Alexander, David H. Miller, 2011, MLINI.

ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation

Daniel C. Alexander, Hui Zhang, Marco Palombo, 2020, NeuroImage.

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

Emily C. Collins, Jack A. Wells, Mark F. Lythgoe, 2016, NeuroImage.

Using the wild bootstrap to quantify uncertainty in fiber orientation from q-ball analysis

Daniel C. Alexander, Gjm Parker, Hamied A. Haroon, 2009 .

Super-resolving patches in diffusion MRI using canonical fibre configurations

Daniel C. Alexander, Sjd Prince, 2009 .

A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images

Simon R. Arridge, Daniel C. Alexander, Olivier Coulon, 2001, IPMI.

Tract-oriented statistical group comparison of diffusion in sheet-like white matter

Hartwig R. Siebner, Tim B. Dyrby, Daniel C. Alexander, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Metrics of microscopic anisotropy: a comparison study

Daniel C. Alexander, Andrada Ianuş, Ivana Drobnjak, 2015 .

Mathematical models of diffusion in prion disease

Giuseppe Baselli, Daniel C. Alexander, Matteo Figini, 2012 .

Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion

David J. Hawkes, John H. Hipwell, Andrew Evans, 2014, Digital Mammography / IWDM.

Orientation coherence optimization in tensor image registration.

Daniel C. Alexander, K. M. Curran, 2004 .

High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations

Mark F. Lythgoe, Hui Zhang, Daniel C. Alexander, 2010, MICCAI.

An empirical comparison of statistical chromaticity models

Bernard F. Buxton, Daniel C. Alexander, B. Buxton, 1999 .

Optical flow based method for non-rigid registration of diffusion tensor magnetic resonance images

James C. Gee, Mariano Rivera, Daniel C. Alexander, 2003 .

Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure

Hui Zhang, Daniel C. Alexander, Neil Oxtoby, 2013, IPMI.

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

Daniel C. Alexander, Noam Shemesh, Hui Zhang, 2019, NeuroImage.

Elastic matching of diffusion tensor MRIs

Ruzena Bajcsy, James C. Gee, Daniel C. Alexander, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Disease Knowledge Transfer across Neurodegenerative Diseases

Daniel C. Alexander, Marco Lorenzi, Stefano B. Blumberg, 2019, MICCAI.

Model selection in MR diffusion imaging

Daniel C. Alexander, Arridge, Gj Barker, 2002 .

Exploring analytic models of the diffusion MR signal in fixed rat brain tissue

Daniel C. Alexander, Eleftheria Panagiotaki, Matthew D. Hall, 2009 .

Mapping the number of fibre orientations per voxel in diffusion MRI

Daniel C. Alexander, Gjm Parker, S Nedjati-Gilani, 2006 .

Persistent Angular Structure: New Insights from Diffusion MRI Data. Dummy Version

Daniel C. Alexander, Kalvis M. Jansons, D. Alexander, 2003, IPMI.

The Influence of Microscopic Shape Invariants in Diffusion MRI and on Time Correlations

Daniel C. Alexander, Pg Batchelor, D. Alexander, 2008 .

Active Imaging with Dual Spin-Echo Diffusion MRI

Daniel C. Alexander, Jonathan D. Clayden, Matt G. Hall, 2009, IPMI.

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

Daniel C. Alexander, Markus Barth, David G. Norris, 2012, NeuroImage.

Exploiting peak anisotropy for tracking through fanning structures

Daniel C. Alexander, Gjm Parker, Matthew D. Hall, 2007 .

A tract-specific approach to assessing white matter in preterm infants

Paul A. Yushkevich, Joseph V. Hajnal, Paul Aljabar, 2017, NeuroImage.

Detecting and Classifying Nuclei on a Budget

Gabriel J. Brostow, Daniel C. Alexander, Eleftheria Panagiotaki, 2017, CVII-STENT/LABELS@MICCAI.

Assessment of bundle-specific axon diameter distributions using diffusion MRI tractography

Jean-Philippe Thiran, Tim B. Dyrby, Daniel C. Alexander, 2016 .

Multiple Fibers: Beyond the Diffusion Tensor

Daniel C. Alexander, Kiran K. Seunarine, D. Alexander, 2013 .

A hexagon is a circle

Daniel C. Alexander, Matthew D. Hall, D. Alexander, 2008 .

Diffusion-diffusion Exchange Spectroscopic Imaging (DEXSI) MRI in a rat corpus callosum

Mark F. Lythgoe, Daniel C. Alexander, Penny L. Hubbard, 2013 .

Multiple Orderings of Events in Disease Progression

Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander, 2015, IPMI.

NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain

Daniel C. Alexander, Torben Schneider, Hui Zhang, 2012, NeuroImage.

Sub-voxel reconstruction of fibre orientations

Daniel C. Alexander, G J M Parker, S Nedjati-Gilani, 2007 .

Microstructure Imaging Sequence Simulation Toolbox

Daniel C. Alexander, Ivana Drobnjak, Andrada Ianus, 2016, SASHIMI@MICCAI.

Optimal acquisition order of diffusion-weighted measurements on a sphere

Symms, Daniel C. Alexander, Philip A. Cook, 2005 .

Comparison of similarity measures for driving diffusion tensor registration

Daniel C. Alexander, K. M. Curran, 2005 .

Making the most of synthetic data: modelling vs simulation

Daniel C. Alexander, Matthew D. Hall, D. Alexander, 2007 .

Tissue structure complexity maps from high angular resolution diffusion weighted magnetic resonance measurements

Daniel C. Alexander, Arridge, Gj Barker, 2002 .

Using diffusion MRI to discriminate areas of cortical grey matter

Théodore Papadopoulo, Aurobrata Ghosh, Daniel C. Alexander, 2017, NeuroImage.

Non-rigid registration of diffusion tensor MR images

James C. Gee, Mariano Rivera, Daniel C. Alexander, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Multi-compartment microscopic diffusion imaging

Daniel C. Alexander, Mark D. Does, Enrico Kaden, 2016, NeuroImage.

Can T 2 -Spectroscopy Resolve Submicrometer Axon Diameters?

Daniel C. Alexander, Enrico Kaden, 2013, IPMI.

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

Demian Wassermann, Daniel C. Alexander, Hui Zhang, 2019, NeuroImage.

Supervised MS Lesion Segmentation

Daniel C. Alexander, Tony Shepherd, D. Alexander, 2007 .

Probabilistic Event Cascades for Alzheimer's disease

Daniel C. Alexander, Jonathan Huang, Jonathan Huang, 2012, NIPS.

Mid-Level Shape Priors for Supervised Contouring

Daniel C. Alexander, Tony Shepherd, 2009 .

Colour Transfer by Feature Based Histogram Registration

Daniel C. Alexander, Christopher Rohan Senanayake, 2007, BMVC.

A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images

Daniel C. Alexander, Marco Lorenzi, Sara Garbarino, 2017, IPMI.

Characterising a population distribution of diffusion tensors

Derek K. Jones, Daniel C. Alexander, Lewis D. Griffin, 2002 .

Inter-subject comparison of brain connectivity using diffusion tensor magnetic resonance imaging

Philip A. Cook, Daniel C. Alexander, D. Alexander, 2003 .

Modelling noise-induced fibre-orientation error in diffusion-tensor MRI

Philip A. Cook, Daniel C. Alexander, Geoffrey J. M. Parker, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Early development of structural networks and the impact of prematurity on brain connectivity

Chiara Nosarti, Joseph V. Hajnal, Paul Aljabar, 2017, NeuroImage.

A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta

Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander, 2019, Computational Diffusion MRI.

Bayesian Image Quality Transfer

Antonio Criminisi, Aurobrata Ghosh, Daniel C. Alexander, 2016, MICCAI.

Maximum Entropy Spherical Deconvolution for Diffusion MRI

Daniel C. Alexander, D. Alexander, 2005, IPMI.

Histological metrics confirm microstructural characteristics of NODDI indices in multiple sclerosis spinal cord

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2015 .

SWI-informed Diffusion Tensor Tractography

Daniel C. Alexander, Markus Barth, David G. Norris, 2010 .

Diffusion anisotropy in breast cancer tissue corresponds to spatial patterns of collagen alignment from structure tensor analysis of histology

David J. Hawkes, John H. Hipwell, Daniel C. Alexander, 2017 .

Orientationally invariant indices of axon diameter and density from diffusion MRI

Tim B. Dyrby, Daniel C. Alexander, Geoffrey J. M. Parker, 2010, NeuroImage.

Scan-rescan reproducibility of neurite microstructure estimates using NODDI

Daniel C. Alexander, Torben Schneider, M Tariq, 2012 .

Assessing scan-rescan reproducibility of the parameter estimates from NODDI

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2013 .

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

Jelle Veraart, Alexander Leemans, Dorit Merhof, 2019, NeuroImage.

The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data

Daniel C. Alexander, Uran Ferizi, Torben Schneider, 2013, MICCAI.

The relationship between "axial" and "radial" diffusivities and the eigenvectors of the diffusion tensor in the brain

Cam Wheeler-Kingshott, Daniel C. Alexander, Mara Cercignani, 2009 .

Preliminary investigation of position dependency of radial diffusivity in the cervical spinal cord

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2009 .

Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From $Q$-Ball Analysis

Daniel C. Alexander, Geoffrey J. M. Parker, Hamied A. Haroon, 2009, IEEE Transactions on Medical Imaging.

A comparison of q-ball and PASMRI on sparse diffusion MRI data

Daniel C. Alexander, 2004 .

Axon radius estimation using optimised Stejskal-Tanner and dual spin echo sequences at modest SNR

Daniel C. Alexander, Jonathan D. Clayden, Zoltán Nagy, 2009 .

Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo

Daniel C. Alexander, Torben Schneider, Hui Zhang, 2015, NeuroImage.

A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation

Marc Modat, Nick C. Fox, Sebastien Ourselin, 2010, MICCAI.

A general framework for multiple-fibre PICo tractography

Philip A. Cook, Daniel C. Alexander, Gjm Parker, 2006 .

Special issue on computational diffusion MRI

Tianzi Jiang, Carl-Fredrik Westin, Daniel C. Alexander, 2007 .

MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation

Daniel C. Alexander, Anthony J. Sherbondy, Matthew C. Rowe, 2010, MICCAI.

Foveation for Segmentation of Mega-Pixel Histology Images

Daniel C. Alexander, Thomy Mertzanidou, Ryutaro Tanno, 2020, MICCAI.

Covalidation of a Monte-Carlo and an analytical model of diffusion for synthetic diffusion-weighted MR data

Daniel C. Alexander, Matthew D. Hall, D. Alexander, 2007 .

Modelling noise-induced fibre-orientation error.

Daniel C. Alexander, Gjm Parker, Philip A. Cook, 2004 .

Optimal imaging parameters for fiber-orientation estimation in diffusion MRI

Gareth J. Barker, Daniel C. Alexander, G. Barker, 2005, NeuroImage.

In vivo characterisation of tumour microstructure with VERDICT MRI

Mark F. Lythgoe, Rb Pedley, Daniel C. Alexander, 2013 .

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Rachid Deriche, Simon K. Warfield, Lawrence L. Wald, 2016, 1604.07287.

A spatial variation model of white matter microstructure

Daniel C. Alexander, Hui Zhang, Gl Morgan, 2010, MICCAI 2010.

Exploiting hierarchy in structural brain networks

Daniel Rueckert, Fani Deligianni, David J. Sharp, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Acquiring optimal DWI data for tractography on post-mortem brain tissue

Jacob Jelsing, Tim B. Dyrby, Lise Vejby Søgaard, 2008 .

Prediction of Second Neurological Attack in Patients with Clinically Isolated Syndrome Using Support Vector Machines

David H. Miller, Daniel C. Alexander, Declan T. Chard, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

VERDICT prostate parameter estimation with AMICO

David Atkinson, David J. Hawkes, Daniel C. Alexander, 2018 .

Axon Diameter Mapping in Crossing Fibers with Diffusion MRI

Tim B. Dyrby, Hui Zhang, Daniel C. Alexander, 2011, MICCAI.

Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series

Sébastien Ourselin, Daniel C. Alexander, Marco Lorenzi, 2015, IPMI.

Camino: Open-Source Diffusion-MRI Reconstruction and Processing

Daniel C. Alexander, Matthew D. Hall, S Nedjati-Gilani, 2006 .

Axon diameter mapping in the presence of orientation dispersion with diffusion MRI

Hui Zhang, Daniel C. Alexander, Geoffrey J. M. Parker, 2011, NeuroImage.

Spatial transformations of diffusion tensor magnetic resonance images

James C. Gee, Carlo Pierpaoli, Daniel C. Alexander, 2001, IEEE Transactions on Medical Imaging.

NODDI with dispersion anisotropy

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2014 .

An Automated Approach to Connectivity-Based Partitioning of Brain Structures

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2005, MICCAI.

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data

Polina Golland, Frederik Barkhof, Esther Bron, 2019, PRIME@MICCAI.

Model-based registration to correct for motion between acquisitions in diffusion MR imaging

Yu Bai, Daniel C. Alexander, D. Alexander, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Reduced Encoding Persistent Angular Structure

Daniel C. Alexander, A Sweet, 2010 .

Orientation matching for registration of diffusion tensor images

Daniel C. Alexander, K. M. Curran, 2002 .

Pinning down specificity of biomarkers to axon and myelin damage: preliminary results

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2013 .

Optimal diffusion-gradient waveforms for measuring axon diameter

Daniel C. Alexander, B Siow, Ivana Drobnjak, 2010 .

Validation of generalised PICo tractography using bootstrap measurements

Daniel C. Alexander, Matthew D. Hall, G J M Parker, 2007 .

Voxel-Based Classification of White Matter Fibre Complexity in Diffusion MRI

Philip A. Cook, Daniel C. Alexander, G J M Parker, 2005 .

Implementational Improvements for Active Region Models

Bernard F. Buxton, Daniel C. Alexander, B. Buxton, 1997, BMVC.

Diffusion tensor fiber tractography on a population averaged brain

Derek K. Jones, Daniel C. Alexander, Marco Catani, 2002 .

Visualizing diffusion-weighted MRI data using collaborative virtual environment and grid technologies

Anthony Steed, Philip A. Cook, Daniel C. Alexander, 2003, Proceedings of Theory and Practice of Computer Graphics, 2003..

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion

Swami Sankaranarayanan, Daniel C. Alexander, Ardavan Saeedi, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hierarchy in Anatomical Brain Networks Derived from Diffusion Weighted Images in 64 and 15 Directions

Daniel Rueckert, Fani Deligianni, Daniel C. Alexander, 2012 .

Prediction of time between CIS onset and clinical conversion to MS using Random Forests

Dh Miller, Daniel C. Alexander, Olga Ciccarelli, 2014 .

Agreement and disagreement in two models of synthetic diffusion MR data

Daniel C. Alexander, Matthew D. Hall, D. Alexander, 2008 .

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

Sébastien Ourselin, Marc Modat, Nick C. Fox, 2012, NeuroImage.

Histological validation of VERDICT cellularity map in a prostatectomy case

Gabriel J. Brostow, Daniel C. Alexander, Eleftheria Panagiotaki, 2016 .

Information Processing in Medical Imaging

Carl-Fredrik Westin, M. Jorge Cardoso, Sebastien Ourselin, 2015, Lecture Notes in Computer Science.

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

Daniel C. Alexander, Torben Schneider, Claudia A. M. Wheeler-Kingshott, 2014, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.

Two-Compartment Models of the Diffusion MR Signal in Brain White Matter

Mark F. Lythgoe, Daniel C. Alexander, Eleftheria Panagiotaki, 2009, MICCAI.

Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels

M. Jorge Cardoso, Sébastien Ourselin, Daniel C. Alexander, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution pdf

Antonio Criminisi, Aurobrata Ghosh, Stamatios N. Sotiropoulos, 2017, MICCAI.

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

Ludovica Griffanti, Mark Jenkinson, Stephen M. Smith, 2017, NeuroImage.

Optimised VERDICT MRI protocol for prostate cancer characterisation

David Atkinson, Daniel C. Alexander, Eleftheria Panagiotaki, 2015 .

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

Hui Zhang, Daniel C. Alexander, Marco Palombo, 2018, NeuroImage.

Model-based estimation of microstructure parameters from diffusion MRI data in a substrate with microscopic anisotropy and a distribution of pore sizes

Daniel C. Alexander, Andrada Ianuş, Ivana Drobnjak, 2015 .

Axon radius measurements in vivo from diffusion MRI: a feasibility study

Daniel C. Alexander, D. Alexander, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement pdf

Antonio Criminisi, Aurobrata Ghosh, Stamatios N. Sotiropoulos, 2019, ArXiv.

A framework for modelling the regional variation of white matter microstructure

Daniel C. Alexander, Gl Morgan, B Whitcher, 2011 .

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

Daniel C. Alexander, Sebastian J. Crutch, Nicholas C. Firth, 2017, ArXiv.

Elastic Matching of Diffusion Tensor Images

James C. Gee, Daniel C. Alexander, 2000, Comput. Vis. Image Underst..

The CONNECT project: Combining macro- and micro-structure

Timothy Edward John Behrens, Tim B. Dyrby, Thomas R. Knösche, 2013, NeuroImage.

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI

Daniel C. Alexander, Ryutaro Tanno, Enrico Kaden, 2021, NeuroImage.

Ranking Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data

Cam Wheeler-Kingshott, Daniel C. Alexander, Uran Ferizi, 2014 .

Mathematics of Crossing Fibres

Daniel C. Alexander, Kiran K. Seunarine, 2010 .

Gaussian Phase Distribution Approximations of the Square Wave Oscillating Gradient Spin-Echo (SWOGSE) Diffusion Signal

Daniel C. Alexander, Andrada Ianuş, Ivana Drobnjak, 2012 .

An algorithm to estimate anatomical connectivity between brain regions using diffusion MRI.

Patrizia Baraldi, Daniel C. Alexander, Carlo A. Porro, 2013, Magnetic resonance imaging.

Microstructural characterisation of normal and malignant human prostate tissue with VERDICT-MRI

David Atkinson, David J. Hawkes, Daniel C. Alexander, 2014 .

Modelling of single mode distributions of colour data using directional statistics

Bernard F. Buxton, Daniel C. Alexander, B. Buxton, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Improved tractography using asymmetric fibre orientation distributions

Timothy Edward John Behrens, Hui Zhang, Aurobrata Ghosh, 2017, NeuroImage.

Bayesian Estimation of the Axonal Diffusion Coefficients in Brain White Matter

Frithjof Kruggel, Daniel C. Alexander, Enrico Kaden, 2014 .

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect

Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander, 2020, MICCAI.

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator pdf

Daniel C. Alexander, Matteo Figini, Godwin Ogbole, 2019, MLMIR@MICCAI.

An evaluation of physically based statistical colour models for image region characterisation

Bernard F. Buxton, Daniel C. Alexander, B. Buxton, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Multi-Stage Prediction Networks for Data Harmonization pdf

Chantal M. W. Tax, Daniel C. Alexander, Stefano B. Blumberg, 2019, MICCAI.

TRACTOGRAPHY OF MEYER'S LOOP AND TEMPORAL LOBE RESECTION

John S. Duncan, Daniel C. Alexander, Mara Cercignani, 2009 .

Neuroimage special issue on microstructure - Editorial

Daniel C. Alexander, G. Bruce Pike, Nikola Stikov, 2018, NeuroImage.

The Influence of Macroscopic and Microscopic Fibre Orientation Dispersion on Diffusion MR Measurements: A Monte-Carlo Simulation Study

Hui Zhang, Daniel C. Alexander, Matthew D. Hall, 2013 .

A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning

Daniel C. Alexander, Ryo Torii, Arjun Nair, 2021, IEEE Access.

Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms

Daniel C. Alexander, Juan Eugenio Iglesias, Loïc Peter, 2021, IEEE Transactions on Medical Imaging.

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

Daniel C. Alexander, Enrico Kaden, Noemi G. Gyori, 2021, NeuroImage.

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

Daniel C. Alexander, Marco Palombo, Andrada Ianus, 2020, NeuroImage.

Learning to Downsample for Segmentation of Ultra-High Resolution Images pdf

Daniel C. Alexander, Thomy Mertzanidou, Eleftheria Panagiotaki, 2021, ArXiv.

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

Daniel C. Alexander, Stefano B. Blumberg, Neil P. Oxtoby, 2021, ArXiv.

Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts

Daniel C. Alexander, Hongxiang Lin, Paddy J. Slator, 2021, MICCAI.

Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis

Daniel C. Alexander, Panagiotis Barmpoutis, Marnix Jansen, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression

Daniel C. Alexander, Peter A. Wijeratne, D. Alexander, 2021, IPMI.

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

Tarek A. Yousry, Jasper M. Morrow, Mary M. Reilly, 2020, Neuroinformatics.

Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping

Joseph V. Hajnal, Daniel C. Alexander, Marco Palombo, 2021, Medical Image Anal..

Deep learning model fitting for diffusion-relaxometry: a comparative study

Daniel C. Alexander, Torben Schneider, Marco Palombo, 2020, bioRxiv.

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data

Daniel C. Alexander, Jacob W. Vogel, Alexandra L. Young, 2021, Frontiers in Artificial Intelligence.

Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI

Zhengyi Yang, Daniel C. Alexander, David C. Reutens, 2016, NMR in biomedicine.

Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer’s Disease

Jason D. Warren, Daniel C. Alexander, Sara Garbarino, 2017, Front. Neurol..

Crossing Versus Fanning: Model Comparison Using HCP Data

Daniel C. Alexander, Aurobrata Ghosh, Hui Zhang, 2016 .

SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis

Massimo Filippi, Christian Enzinger, Frederik Barkhof, 2019, NeuroImage: Clinical.

Single-shell diffusion MRI NODDI with in vivo cervical cord data

Cam Wheeler-Kingshott, Daniel C. Alexander, Torben Schneider, 2014 .

Utilising measures of fiber dispersion in white matter tractography

Daniel C. Alexander, D. Alexander, H. Zhang, 2012 .

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Jean-Philippe Thiran, Tim B. Dyrby, Daniel C. Alexander, 2015 .

Linear Persistent Angular Structure MRI and non-linear Spherical Deconvolution for Diffusion MRI

Daniel C. Alexander, Kiran K. Seunarine, 2006 .

Sequence of cognitive changes associated with development of Alzheimer's disease in Down syndrome - data driven analysis

Daniel C. Alexander, Andre Strydom, Peter Alexander Wijeratne, 2018 .

Histological validation of the brain cell body imaging with diffusion MRI at ultrahigh field

Daniel C. Alexander, Marco Palombo, Hui Zhang, 2018 .

Modelling vasculature and cellular restriction in breast tumours using diffusion MRI

David J. Hawkes, John H. Hipwell, Daniel C. Alexander, 2014 .

Axon diameter distribution influences diffusion-derived axonal density estimation in the human spinal cord: in silico and in vivo evidence

Sebastien Ourselin, Daniel C. Alexander, Torben Schneider, 2016 .

Non-invasive quantification of prostate cancer using AMICO framework for VERDICT MRI

David Atkinson, Daniel C. Alexander, Eleftheria Panagiotaki, 2016 .

White Matter Models of In Vivo Diffusion MRI Human Brain Data: A Statistical Ranking

Cam Wheeler-Kingshott, Daniel C. Alexander, Uran Ferizi, 2012 .

Data-driven models of dominantly-inherited Alzheimer’s disease progression

Nick C. Fox, Daniel C. Alexander, Nick C Fox, 2018 .

Tensor Field Regularisation for DT-MR Images

Simon R. Arridge, Daniel C. Alexander, Olivier Coulon, 2001 .

Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation

Maurizio Filippone, Sebastien Ourselin, Daniel C. Alexander, 2017, 1701.01668.

Apparatus for Histological Validation of In Vivo and Ex Vivo Magnetic Resonance Imaging of the Human Prostate

David J. Hawkes, Daniel C. Alexander, Thomy Mertzanidou, 2017, Front. Oncol..

Axon radius estimation with Oscillating Gradient Spin Echo (OGSE) Diffusion MRI

Mark F. Lythgoe, Daniel C. Alexander, Bernard Siow, 2013 .

Principal diffusion direction field regularization for diffusion tensor magnetic resonance images

Daniel C. Alexander, Arridge, Olivier Coulon, 2001 .

Advanced diffusion imaging sequences could aid assessing patients with focal cortical dysplasia and epilepsy☆

Hui Zhang, Gavin P. Winston, John S. Duncan, 2014, Epilepsy Research.

Spatial transformations for registration of DT-MRIs

James C. Gee, Daniel C. Alexander, J. Gee, 2000 .

The structural plasticity of white matter networks following anterior temporal lobe resection

John S. Duncan, Daniel C. Alexander, Christian Vollmar, 2010, Brain : a journal of neurology.

Abundance of cell bodies can explain the stick model ’ s failure in grey matter at high b-value

Daniel C. Alexander, Marco Palombo, Hui Zhang, 2017 .

Optimising oscillating waveform-shape for pore size sensitivity in diffusion-weighted MR

Daniel C. Alexander, Ivana Drobnjak, Gastao Cruz, 2013 .

Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord

Sébastien Ourselin, Ferran Prados, Daniel C. Alexander, 2018, Magnetic resonance in medicine.

Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum

Zhengyi Yang, Daniel C. Alexander, David C. Reutens, 2016, Front. Neuroanat..

Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases

Giuseppe Baselli, Veronica Redaelli, Daniel C. Alexander, 2014, NeuroImage: Clinical.

A compartment based model for non-invasive cell body imaging by diffusion MRI

Daniel C. Alexander, Marco Palombo, Hui Zhang, 2018 .

Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions

Nick C. Fox, John Shawe-Taylor, Daniel C. Alexander, 2017, Front. Neurol..

Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease☆

Giovanni B. Frisoni, Frederik Barkhof, Vikram Venkatraghavan, 2019, NeuroImage: Clinical.

Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study

David J. Hawkes, John H. Hipwell, Daniel C. Alexander, 2016, NMR in biomedicine.

In Vivo Assement of Neurite Density in the Preterm Brain Using Diffusion Magnetic Resonance Imaging

Joseph V. Hajnal, Daniel C. Alexander, Serena J. Counsell, 2014 .

Measuring microscopic anisotropy with diffusion magnetic resonance: From material science to biomedical imaging

Daniel C. Alexander, Andrada Ianuş, Ivana Drobnjak, 2017 .