Daniel C. Alexander

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 162

Top Venues

Publications

Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. ICLR (2024)
Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection. ICLR (2024)
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. CoRR (2024)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement. Medical Image Anal. 93 (2024)
Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Expectation maximisation pseudo labels. Medical Image Anal. 94 (2024)
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander, Arjun Nair, Joseph Jacob
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116 (2024)
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. J. Big Data 11 (1) (2024)
Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander
Tackling Structural Hallucination in Image Translation with Local Diffusion. CoRR (2024)
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
CenTime: Event-conditional modelling of censoring in survival analysis. Medical Image Anal. 91 (2024)
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J. M. Parker, Arman Eshaghi
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. Medical Image Anal. 91 (2024)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. IEEE Trans. Medical Imaging 42 (10) (2023)
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis. CoRR (2023)
Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann
Transferability of Alzheimer's disease progression subtypes to an independent population cohort. NeuroImage 271 (2023)
Henry F. J. Tregidgo, Sonja Soskic, Juri Althonayan, Chiara Maffei, Koen Van Leemput, Polina Golland, Ricardo Insausti, Garikoitz Lerma-Usabiaga, César Caballero-Gaudes, Pedro M. Paz-Alonso, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage 274 (2023)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
A coupled-mechanisms modelling framework for neurodegeneration. CoRR (2023)
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Low-field magnetic resonance image enhancement via stochastic image quality transfer. Medical Image Anal. 87 (2023)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations. CoRR (2023)
Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias
Brain-ID: Learning Robust Feature Representations for Brain Imaging. CoRR (2023)
Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. MIDL (2023)
Christopher S. Parker, Anna Schroder, Sean C. Epstein, James Cole, Daniel C. Alexander, Hui Zhang
Rician likelihood loss for quantitative MRI using self-supervised deep learning. CoRR (2023)
Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias
Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI. MICCAI (8) (2023)
Lemuel Puglisi, Frederik Barkhof, Daniel C. Alexander, Geoffrey JM Parker, Arman Eshaghi, Daniele Ravì
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. CoRR (2023)
Seunghoi Kim, Henry F. J. Tregidgo, Ahmed K. Eldaly, Matteo Figini, Daniel C. Alexander
A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI. CoRR (2023)
Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI. CoRR (2023)
Wing Keung Cheung, Jeremy Kalindjian, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
A 3D deep learning classifier and its explainability when assessing coronary artery disease. CoRR (2023)
Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, Peter A. Wijeratne
Subtype and Stage Inference with Timescales. IPMI (2023)
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Low-field magnetic resonance image enhancement via stochastic image quality transfer. CoRR (2023)
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. CoRR (2023)
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob
A data-centric deep learning approach to airway segmentation. CoRR (2023)
Antonio Ricciardi, Francesco Grussu, Baris Kanber, Ferran Prados, Marios C. Yiannakas, Bhavana S. Solanky, Frank Riemer, Xavier Golay, Wallace Brownlee, Olga Ciccarelli, Daniel C. Alexander, Claudia A. M. Gandini Wheeler-Kingshott
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset. Frontiers Neuroinformatics 17 (2023)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
A Coupled-Mechanisms Modelling Framework for Neurodegeneration. MICCAI (8) (2023)
Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138 (2023)
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander
Learning to Downsample for Segmentation of Ultra-High Resolution Images. ICLR (2022)
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. CoRR (2022)
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. CDMRI@MICCAI (2022)
Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander
Deformably-Scaled Transposed Convolution. CoRR (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. MICCAI (5) (2022)
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning. CoRR (2022)
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. CoRR (2022)
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. CoRR (2022)
An Zhao, Ahmed H. Shahin, Yukun Zhou, Eyjolfur Gudmundsson, Adam Szmul, Nesrin Mogulkoc, Frouke Van Beek, Christopher Brereton, Hendrik W. Van Es, Katarina Pontoppidan, Recep Savas, Timothy Wallis, Omer Unat, Marcel Veltkamp, Mark G. Jones, Coline H. M. Van Moorsel, David Barber, Joseph Jacob, Daniel C. Alexander
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. MICCAI (8) (2022)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation. CoRR (2022)
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. MIDL (2022)
Panagiotis Barmpoutis, Jing Yuan, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C. Alexander, Marnix Jansen
Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset. CaPTion@MICCAI (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. MIDL (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. CoRR (2022)
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
Ten years of image analysis and machine learning competitions in dementia. NeuroImage 253 (2022)
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. MICCAI (6) (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation. CoRR (2022)
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. CoRR (2022)
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Arjun Nair, Daniel C. Alexander, SUMMIT consortium, Joseph Jacob
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. CoRR (2022)
Yaozhi Lu, Shahab Aslani, Mark Emberton, Daniel C. Alexander, Joseph Jacob
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access 10 (2022)
Neil P. Oxtoby, Cameron Shand, David M. Cash, Daniel C. Alexander, Frederik Barkhof
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models. Frontiers Artif. Intell. 5 (2022)
Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization. CoRR (2022)
Alessia Atzeni, Loïc Peter, Eleanor D. Robinson, Emily Blackburn, Juri Althonayan, Daniel C. Alexander, Juan Eugenio Iglesias
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. Medical Image Anal. 81 (2022)
Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. Medical Image Anal. 75 (2022)
Panagiotis Barmpoutis, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Daniel C. Alexander, Marnix Jansen
Gland segmentation in gastric histology images: detection of intestinal metaplasia. EUSIPCO (2022)
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
Ten years of image analysis and machine learning competitions in dementia. CoRR (2021)
Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang
Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]. NeuroImage 226 (2021)
Alexandra L. Young, Jacob W. Vogel, Leon M. Aksman, Peter A. Wijeratne, Arman Eshaghi, Neil P. Oxtoby, Steven C. R. Williams, Daniel C. Alexander
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data. Frontiers Artif. Intell. 4 (2021)
Wing Keung Cheung, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access 9 (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR (2021)
Peter A. Wijeratne, Daniel C. Alexander
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression. IPMI (2021)
Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
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 237 (2021)
Peter A. Wijeratne, Eileanoir B. Johnson, Sarah Gregory, Nellie Georgiou-Karistianis, Jane S. Paulsen, Rachael I. Scahill, Sarah J. Tabrizi, Daniel C. Alexander
A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease. Frontiers Big Data 4 (2021)
Panagiotis Barmpoutis, Hamzeh Kayhanian, William Waddingham, Daniel C. Alexander, Marnix Jansen
Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis. DICTA (2021)
Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240 (2021)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation. CoRR (2021)
Ioana Hill, Marco Palombo, Mathieu D. Santin, Francesca Branzoli, Anne-Charlotte Philippe, Demian Wassermann, Marie-Stephane Aigrot, Bruno Stankoff, Anne Baron-Van Evercooren, Mehdi Felfli, Dominique Langui, Hui Zhang, Stéphane Lehéricy, Alexandra Petiet, Daniel C. Alexander, Olga Ciccarelli, Ivana Drobnjak
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224 (2021)
Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi
Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease. Frontiers Big Data 4 (2021)
Noemi G. Gyori, Christopher A. Clark, Daniel C. Alexander, Enrico Kaden
On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol. NeuroImage 239 (2021)
Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H. M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, Tobias Peikert, Ryan D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, David J. Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. CoRR (2021)
Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm. SoftwareX 16 (2021)
Andrada Ianus, Daniel C. Alexander, Hui Zhang, Marco Palombo
Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241 (2021)
Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. MICCAI (6) (2021)
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander
Learning to Downsample for Segmentation of Ultra-High Resolution Images. CoRR (2021)
Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Anal. 71 (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) (2021)
Nonie Alexander, Daniel C. Alexander, Frederik Barkhof, Spiros C. Denaxas
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Maura Bellio, Dominic Furniss, Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Annemie Ribbens, Daniel C. Alexander, Ann Blandford
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease. ACM Trans. Comput. Heal. 2 (4) (2021)
Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. CoRR (2021)
Seunghoi Kim, Daniel C. Alexander
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation. BMVC (2021)
Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. IEEE Trans. Medical Imaging 40 (8) (2021)
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage 225 (2021)
Baris Kanber, Jasper M. Morrow, Uros Klickovic, Stephen J. Wastling, Sachit Shah, Pietro Fratta, Amy R. McDowell, Matt G. Hall, Chris A. Clark, Francesco Muntoni, Mary M. Reilly, Michael G. Hanna, Daniel C. Alexander, Tarek A. Yousry, John S. Thornton
Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases. Neuroinformatics 19 (2) (2021)
Kyriaki Mengoudi, Daniele Ravì, Keir X. X. Yong, Silvia Primativo, Ivanna M. Pavisic, Emilie Brotherhood, Kirsty Lu, Jonathan M. Schott, Sebastian J. Crutch, Daniel C. Alexander
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander
Foveation for Segmentation of Ultra-High Resolution Images. CoRR (2020)
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR (2020)
Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage 215 (2020)
Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander
Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS (2020)
Francesco Grussu, Marco Battiston, Jelle Veraart, Torben Schneider, Julien Cohen-Adad, Timothy M. Shepherd, Daniel C. Alexander, Els Fieremans, Dmitry S. Novikov, Claudia A. M. Gandini Wheeler-Kingshott
spinal cord MRI with unified signal readout and image denoising. NeuroImage 217 (2020)
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
Learning to Segment When Experts Disagree. MICCAI (1) (2020)
Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
Learning To Pay Attention To Mistakes. BMVC (2020)
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander
Foveation for Segmentation of Mega-Pixel Histology Images. MICCAI (5) (2020)
Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221 (2020)
Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220 (2020)
Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
DeepReg: a deep learning toolkit for medical image registration. J. Open Source Softw. 5 (55) (2020)
Nonie Alexander, Daniel C. Alexander, Frederik Barkhof, Spiros C. Denaxas
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records. MIE (2020)
Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
DeepReg: a deep learning toolkit for medical image registration. CoRR (2020)
Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
Learning To Pay Attention To Mistakes. CoRR (2020)

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Daniel C. Alexander