Daniel C. Alexander
Orcid: 0000-0003-2439-350XAffiliations:
- University College London, UK
According to our database1,
Daniel C. Alexander
authored at least 224 papers
between 1996 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance.
J. Big Data, December, 2024
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2024
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
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement.
Medical Image Anal., 2024
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge.
CoRR, 2024
CoRR, 2024
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Comput. Medical Imaging Graph., 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 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
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
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
CoRR, 2023
CoRR, 2023
CoRR, 2023
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
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
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
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
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms.
IEEE Trans. Medical Imaging, 2021
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
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
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
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Dataset, November, 2020
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
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
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
CoRR, 2020
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
CoRR, 2019
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
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
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
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
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank.
NeuroImage, 2018
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
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
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
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
Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease.
NeuroImage, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
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
NeuroImage, 2015
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data.
NeuroImage, 2015
Medical Image Anal., 2015
Proceedings of the Information Processing in Medical Imaging, 2015
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
Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models.
NeuroImage, 2014
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
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
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
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
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
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
Proceedings of the Information Processing in Medical Imaging, 2013
2012
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
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
NeuroImage, 2011
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
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
NeuroImage, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
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
IEEE Trans. Medical Imaging, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
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
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
Proceedings of the International Conference on Image Processing, 2008
2007
IEEE Trans. Medical Imaging, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
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
Proceedings of the Visualization and Processing of Tensor Fields, 2006
Proceedings of the Visualization and Processing of Tensor Fields, 2006
2005
NeuroImage, 2005
NeuroImage, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Information Processing in Medical Imaging, 2005
2004
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
Proceedings of the Medical Imaging 2003: Image Processing, 2003
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
Proceedings of the Information Processing in Medical Imaging, 2003
2002
NeuroImage, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2001
IEEE Trans. Medical Imaging, 2001
Proceedings of the Information Processing in Medical Imaging, 2001
2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Proceedings of the British Machine Vision Conference 1999, 1999
1997
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997
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