default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel C. Alexander
Person information
- affiliation: University College London, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j92]Tianshu Zheng, Chuyang Ye
, Zhaopeng Cui, Hui Zhang, Daniel C. Alexander, Dan Wu:
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimation. Medical Image Anal. 102: 103535 (2025)- [c111]Ahmed Abdulaal, Chen Jin, Nina Montaña Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran:
Balancing Act: Diversity and Consistency in Large Language Model Ensembles. ICLR 2025 - [i63]An Zhao, Moucheng Xu, Ahmed H. Shahin, Wim A. Wuyts, Mark G. Jones, Joseph Jacob, Daniel C. Alexander:
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis. CoRR abs/2502.05713 (2025) - [i62]Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì:
Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion. CoRR abs/2502.08560 (2025) - [i61]Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander:
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS. CoRR abs/2503.01075 (2025) - 2024
- [j91]Ashkan Pakzad, Wing Keung Cheung, Coline H. M. Van Moorsel, Kin Quan, Nesrin Mogulkoc, Brian J. Bartholmai, H. W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, T. Peikert, R. D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, Dave Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob:
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12(1) (2024) - [j90]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: 102399 (2024) - [j89]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): 104 (2024) - [j88]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: 103016 (2024) - [j87]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: 103033 (2024) - [j86]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: 103098 (2024) - [j85]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: 103125 (2024) - [j84]Diana C. de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V. Hajnal, Daniel C. Alexander, Rebecca J. Shipley, Paddy J. Slator:
A flexible generative algorithm for growing in silico placentas. PLoS Comput. Biol. 20(10): 1012470 (2024) - [c110]Mona Sheikh Zeinoddin, Chiara Lena, Jiongqi Qu, Luca Carlini, Mattia Magro, Seunghoi Kim, Elena De Momi, Sophia Bano, Matthew Grech-Sollars, Evangelos B. Mazomenos, Daniel C. Alexander, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model. ECCV Workshops (11) 2024: 1-11 - [c109]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. ECCV (81) 2024: 87-103 - [c108]Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias:
Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. ECCV (12) 2024: 322-340 - [c107]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 - [c106]Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander:
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection. ICLR 2024 - [c105]Alp G. Cicimen, Henry F. J. Tregidgo, Matteo Figini, Eirini Messaritaki, Carolyn B. McNabb, Marco Palombo, C. John Evans, Mara Cercignani, Derek K. Jones, Daniel C. Alexander:
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI. CDMRI@MICCAI 2024: 106-118 - [c104]Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì:
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. MICCAI (2) 2024: 173-183 - [c103]Peter A. Wijeratne, Daniel C. Alexander:
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport. NeurIPS 2024 - [i60]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 abs/2404.05980 (2024) - [i59]Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì:
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. CoRR abs/2405.03328 (2024) - [i58]Tianshu Zheng, Zican Wang, Timothy J. P. Bray, Daniel C. Alexander, Dan Wu, Hui Zhang:
SCREENER: A general framework for task-specific experiment design in quantitative MRI. CoRR abs/2408.11834 (2024) - [i57]Mona Sheikh Zeinoddin, Chiara Lena, Jiongqi Qu, Luca Carlini, Mattia Magro, Seunghoi Kim, Elena De Momi, Sophia Bano, Matthew Grech-Sollars, Evangelos B. Mazomenos, Daniel C. Alexander, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model. CoRR abs/2408.17433 (2024) - [i56]Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro:
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. CoRR abs/2410.03334 (2024) - [i55]Peter A. Wijeratne, Daniel C. Alexander:
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport. CoRR abs/2410.14388 (2024) - [i54]Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander:
Alternative Learning Paradigms for Image Quality Transfer. CoRR abs/2411.05885 (2024) - [i53]Moucheng Xu, Yukun Zhou, Tobias Goodwin-Allcock, Kimia Firoozabadi, Joseph Jacob, Daniel C. Alexander, Paddy J. Slator:
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels. CoRR abs/2411.10772 (2024) - 2023
- [j83]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) - [j82]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: 102807 (2023) - [j81]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: 120005 (2023) - [j80]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: 120129 (2023) - [j79]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: 109400 (2023) - [j78]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): 2988-2999 (2023) - [c102]Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, Peter A. Wijeratne:
Subtype and Stage Inference with Timescales. IPMI 2023: 15-26 - [c101]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: 247-257 - [c100]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: 459-469 - [c99]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: 716-729 - [i52]Lemuel Puglisi, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi, Daniele Ravì:
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. CoRR abs/2302.13057 (2023) - [i51]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 abs/2303.10789 (2023) - [i50]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 abs/2304.13385 (2023) - [i49]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 abs/2305.01747 (2023) - [i48]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 abs/2305.03413 (2023) - [i47]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 abs/2307.07072 (2023) - [i46]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 abs/2308.00008 (2023) - [i45]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 abs/2308.00009 (2023) - [i44]Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander:
A coupled-mechanisms modelling framework for neurodegeneration. CoRR abs/2308.05536 (2023) - [i43]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 abs/2309.03851 (2023) - [i42]Seunghoi Kim, Henry F. J. Tregidgo, Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander:
A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI. CoRR abs/2311.06631 (2023) - [i41]Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias:
Brain-ID: Learning Robust Feature Representations for Brain Imaging. CoRR abs/2311.16914 (2023) - 2022
- [j77]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: 34369-34378 (2022) - [j76]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: 660581 (2022) - [j75]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: 102257 (2022) - [j74]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: 102549 (2022) - [j73]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: 119083 (2022) - [c98]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: 1338-1342 - [c97]Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander:
Learning to Downsample for Segmentation of Ultra-High Resolution Images. ICLR 2022 - [c96]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. MICAD 2022: 245-254 - [c95]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: 24-33 - [c94]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: 77-88 - [c93]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: 223-233 - [c92]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: 421-431 - [c91]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: 580-590 - [c90]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: 1057-1074 - [c89]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: 1413-1429 - [i40]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 abs/2203.06425 (2022) - [i39]Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander:
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. CoRR abs/2203.09268 (2022) - [i38]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 abs/2203.10196 (2022) - [i37]Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber:
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. CoRR abs/2203.11391 (2022) - [i36]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 abs/2203.16606 (2022) - [i35]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 abs/2206.03359 (2022) - [i34]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 abs/2208.04435 (2022) - [i33]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 abs/2208.10320 (2022) - [i32]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 abs/2210.02349 (2022) - [i31]Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander:
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization. CoRR abs/2210.06891 (2022) - [i30]Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander:
Deformably-Scaled Transposed Convolution. CoRR abs/2210.09446 (2022) - 2021
- [j72]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: 108873-108888 (2021) - [j71]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: 661110 (2021) - [j70]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: 662200 (2021) - [j69]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: 613261 (2021) - [j68]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): 32:1-32:19 (2021) - [j67]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: 102045 (2021) - [j66]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): 343 (2021) - [j65]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: 117425 (2021) - [j64]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: 117366 (2021) - [j63]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: 117612 (2021) - [j62]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: 118206 (2021) - [j61]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: 118303 (2021) - [j60]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 C. 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: 118367 (2021) - [j59]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: 118424 (2021) - [j58]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): 379-383 (2021) - [j57]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: 100811 (2021) - [j56]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): 2053-2065 (2021) - [c88]Seunghoi Kim, Daniel C. Alexander:
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation. BMVC 2021: 431 - [c87]Panagiotis Barmpoutis, Hamzeh Kayhanian, William Waddingham, Daniel C. Alexander, Marnix Jansen:
Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis. DICTA 2021: 1-6 - [c86]Peter A. Wijeratne, Daniel C. Alexander:
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression. IPMI 2021: 583-595 - [c85]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: 44-54 - [c84]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: 482-492 - [i29]Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. CoRR abs/2104.01217 (2021) - [i28]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 abs/2104.12138 (2021) - [i27]Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander:
Learning to Downsample for Segmentation of Ultra-High Resolution Images. CoRR abs/2109.11071 (2021) - [i26]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 abs/2110.12179 (2021) - [i25]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 abs/2111.10443 (2021) - [i24]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 abs/2112.07922 (2021) - 2020
- [j55]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): 2705 (2020) - [j54]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: 116835 (2020) - [j53]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:
Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising. NeuroImage 217: 116884 (2020) - [j52]Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang:
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220: 117107 (2020) - [j51]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: 117128 (2020) - [j50]Minh Nguyen, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage 222: 117203 (2020) - [j49]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): 3066-3075 (2020) - [c83]Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. BMVC 2020 - [c82]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: 179-190 - [c81]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. MICCAI (6) 2020: 375-385 - [c80]Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Mega-Pixel Histology Images. MICCAI (5) 2020: 561-571 - [c79]Pere Planell-Morell, Madhavi Bajekal, Spiros C. Denaxas, Rosalind Raine, Daniel C. Alexander:
Trajectories of Disease Accumulation Using Electronic Health Records. MIE 2020: 469-473 - [c78]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: 499-503 - [c77]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 - [d1]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. Zenodo, 2020
- [i23]Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. CoRR abs/2003.07216 (2020) - [i22]Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Ultra-High Resolution Images. CoRR abs/2007.15124 (2020) - [i21]Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. CoRR abs/2007.15131 (2020) - [i20]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 abs/2007.15963 (2020) - [i19]Peter A. Wijeratne, Daniel C. Alexander:
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression. CoRR abs/2011.01023 (2020) - [i18]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 abs/2011.02580 (2020) - [i17]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, 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. CoRR abs/2012.13340 (2020)
2010 – 2019
- 2019
- [j48]Dafnis Batalle, Jonathan O'Muircheartaigh, Antonios Makropoulos, Christopher J. Kelly, Ralica Dimitrova, Emer J. Hughes, Joseph V. Hajnal, Hui Zhang, Daniel C. Alexander, A. David Edwards, Serena J. Counsell:
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage 185: 764-775 (2019) - [j47]Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage 188: 391-402 (2019) - [j46]Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin:
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage 190: 56-68 (2019) - [j45]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander:
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage 192: 166-177 (2019) - [j44]Chantal M. W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, S. Umesh Rudrapatna, C. John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Stefano Zappalà, Cyril Charron, Slawomir Kusmia, David E. J. Linden, Derek K. Jones, Jelle Veraart:
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195: 285-299 (2019) - [c76]Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman:
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. CVPR 2019: 11244-11253 - [c75]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. ICCV 2019: 1385-1394 - [c74]Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. ICML 2019: 6166-6175 - [c73]Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. IPMI 2019: 429-440 - [c72]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Alexandra L. Young, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. IPMI 2019: 755-766 - [c71]Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander:
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 2019: 1-10 - [c70]Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. MLMIR@MICCAI 2019: 58-70 - [c69]Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland:
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. MBIA/MFCA@MICCAI 2019: 112-120 - [c68]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. MICCAI (3) 2019: 164-172 - [c67]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Learning Task-Specific and Shared Representations in Medical Imaging. MICCAI (4) 2019: 374-383 - [c66]Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-stage Prediction Networks for Data Harmonization. MICCAI (4) 2019: 411-419 - [c65]Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander:
Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 2019: 860-868 - [i16]Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander:
Disease Knowledge Transfer across Neurodegenerative Diseases. CoRR abs/1901.03517 (2019) - [i15]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander:
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. CoRR abs/1901.03553 (2019) - [i14]Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman:
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. CoRR abs/1902.03680 (2019) - [i13]Razvan V. Marinescu, Daniel C. Alexander, Polina Golland:
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. CoRR abs/1905.08627 (2019) - [i12]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. CoRR abs/1907.02787 (2019) - [i11]Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-Stage Prediction Networks for Data Harmonization. CoRR abs/1907.11629 (2019) - [i10]Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. CoRR abs/1907.13418 (2019) - [i9]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. CoRR abs/1908.09597 (2019) - [i8]Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. CoRR abs/1909.06763 (2019) - [i7]Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI. CoRR abs/1912.01526 (2019) - 2018
- [j43]Fidel Alfaro-Almagro, Mark Jenkinson, Neal K. Bangerter, Jesper L. R. Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N. Sotiropoulos, Saâd Jbabdi, Moisés Hernández-Fernández, Emmanuel Vallée, Diego Vidaurre, Matthew A. Webster, Paul McCarthy, Christopher Rorden, Alessandro Daducci, Daniel C. Alexander, Hui Zhang, Iulius Dragonu, Paul M. Matthews, Karla L. Miller, Stephen M. Smith:
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank. NeuroImage 166: 400-424 (2018) - [j42]Kathryn L. West, Nathaniel D. Kelm, Robert P. Carson, Daniel C. Alexander, Daniel F. Gochberg, Mark D. Does:
Experimental studies of g-ratio MRI in ex vivo mouse brain. NeuroImage 167: 366-371 (2018) - [j41]Nikola Stikov, Daniel C. Alexander, G. Bruce Pike:
Neuroimage special issue on microstructure - Editorial. NeuroImage 182: 1-2 (2018) - [j40]Derek K. Jones, Daniel C. Alexander, Richard Bowtell, Mara Cercignani, Flavio Dell'Acqua, Damien J. McHugh, Karla L. Miller, Marco Palombo, Geoffrey J. M. Parker, S. Umesh Rudrapatna, Chantal M. W. Tax:
Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 182: 8-38 (2018) - [j39]Tharindu Ganepola, Zoltán Nagy, Aurobrata Ghosh, Théodore Papadopoulo, Daniel C. Alexander, Martin I. Sereno:
Using diffusion MRI to discriminate areas of cortical grey matter. NeuroImage 182: 456-468 (2018) - [j38]Andrada Ianus, Sune Nørhøj Jespersen, Teresa Serradas Duarte, Daniel C. Alexander, Ivana Drobnjak, Noam Shemesh:
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain. NeuroImage 183: 934-949 (2018) - [j37]Marco Lorenzi, André Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek P. Hibar, Neda Jahanshad, Jonathan M. Schott, Daniel C. Alexander, Paul M. Thompson, Sébastien Ourselin:
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115(12): 3162-3167 (2018) - [c64]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) 2018: 3-11 - [c63]Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. MICCAI (1) 2018: 118-125 - [c62]Minh Nguyen, Nanbo Sun, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Modeling Alzheimer's disease progression using deep recurrent neural networks. PRNI 2018: 1-4 - [i6]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR abs/1806.06595 (2018) - [i5]Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal. CoRR abs/1806.07125 (2018) - [i4]Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. CoRR abs/1807.06699 (2018) - [i3]Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. CoRR abs/1808.05577 (2018) - 2017
- [j36]Dafnis Batalle, Emer J. Hughes, Hui Zhang, Jacques-Donald Tournier, Nora Tusor, Paul Aljabar, Luqman Wali, Daniel C. Alexander, Joseph V. Hajnal, Chiara Nosarti, A. David Edwards, Serena J. Counsell:
Early development of structural networks and the impact of prematurity on brain connectivity. NeuroImage 149: 379-392 (2017) - [j35]Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Niamh Cawley, Ioana Hill, Olga Ciccarelli, Ivana Drobnjak, Claudia A. M. Gandini Wheeler-Kingshott, Daniel C. Alexander:
Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroImage 150: 119-135 (2017) - [j34]Daniel C. Alexander, Darko Zikic, Aurobrata Ghosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dyrby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi:
Image quality transfer and applications in diffusion MRI. NeuroImage 152: 283-298 (2017) - [j33]Diliana Pecheva, Paul A. Yushkevich, Dafnis Batalle, Emer J. Hughes, Paul Aljabar, Julia Wurie, Joseph V. Hajnal, A. David Edwards, Daniel C. Alexander, Serena J. Counsell, Hui Zhang:
A tract-specific approach to assessing white matter in preterm infants. NeuroImage 157: 675-694 (2017) - [j32]Matteo Bastiani, Michiel Cottaar, Krikor Dikranian, Aurobrata Ghosh, Hui Zhang, Daniel C. Alexander, Tim E. J. Behrens, Saâd Jbabdi, Stamatios N. Sotiropoulos:
Improved tractography using asymmetric fibre orientation distributions. NeuroImage 158: 205-218 (2017) - [c61]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander:
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. IPMI 2017: 134-145 - [c60]Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki:
Detecting and Classifying Nuclei on a Budget. CVII-STENT/LABELS@MICCAI 2017: 77-86 - [c59]Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. MICCAI (1) 2017: 611-619 - [i2]Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. CoRR abs/1705.00664 (2017) - [i1]Nicholas C. Firth, Emma Harding, Mary Pat Sullivan, Sebastian J. Crutch, Daniel C. Alexander:
ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research. CoRR abs/1706.06176 (2017) - 2016
- [j31]Niall Colgan, Bernard Siow, James M. O'Callaghan, Ian F. Harrison, Jack A. Wells, Holly E. Holmes, Ozama Ismail, Simon Richardson, Daniel C. Alexander, Emily C. Collins, Elizabeth M. C. Fisher, Ross A. Johnson, Adam J. Schwarz, Zeshan Ahmed, Michael J. O'Neill, Tracey K. Murray, Hui Zhang, Mark F. Lythgoe:
Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. NeuroImage 125: 739-744 (2016) - [j30]Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang:
Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI. NeuroImage 133: 207-223 (2016) - [j29]Enrico Kaden, Nathaniel D. Kelm, Robert P. Carson, Mark D. Does, Daniel C. Alexander:
Multi-compartment microscopic diffusion imaging. NeuroImage 139: 346-359 (2016) - [c58]Andrada Ianus, Daniel C. Alexander, Ivana Drobnjak:
Microstructure Imaging Sequence Simulation Toolbox. SASHIMI@MICCAI 2016: 34-44 - [c57]Ryutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer. MICCAI (2) 2016: 265-273 - 2015
- [j28]Alexandra L. Young, Neil P. Oxtoby, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
A simulation system for biomarker evolution in neurodegenerative disease. Medical Image Anal. 26(1): 47-56 (2015) - [j27]Alessandro Daducci, Erick Jorge Canales-Rodríguez, Hui Zhang, Tim B. Dyrby, Daniel C. Alexander, Jean-Philippe Thiran:
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. NeuroImage 105: 32-44 (2015) - [j26]Francesco Grussu, Torben Schneider, Hui Zhang, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott:
Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo. NeuroImage 111: 590-601 (2015) - [j25]Uran Ferizi, Torben Schneider, Thomas Witzel, Lawrence L. Wald, Hui Zhang, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
White matter compartment models for in vivo diffusion MRI at 300 mT/m. NeuroImage 118: 468-483 (2015) - [c56]Anna Auría, David Romascano, E. Canales-Rodriguen, Yves Wiaux, T. B. Dirby, Daniel C. Alexander, Jean-Philippe Thiran, Alessandro Daducci:
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx). ICIP 2015: 1673-1676 - [c55]Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin:
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. MLMMI@ICML 2015: 35-44 - [c54]Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin:
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series. IPMI 2015: 626-637 - [c53]Andrada Ianus, Ivana Drobnjak, Daniel C. Alexander:
Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI. IPMI 2015: 699-710 - [c52]Alexandra L. Young, Neil P. Oxtoby, Jonathan Huang, Razvan V. Marinescu, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
Multiple Orderings of Events in Disease Progression. IPMI 2015: 711-722 - [e2]Sébastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, Manuel Jorge Cardoso:
Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings. Lecture Notes in Computer Science 9123, Springer 2015, ISBN 978-3-319-19991-7 [contents] - 2014
- [j24]Nicolas Kunz, Hui Zhang, Lana Vasung, Kieran O'Brien, Yaniv Assaf, François Lazeyras, Daniel C. Alexander, Petra S. Hüppi:
Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models. NeuroImage 96: 288-299 (2014) - [c51]Neil P. Oxtoby, Alexandra L. Young, Nick C. Fox, Pankaj Daga, David M. Cash, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model. BAMBI 2014: 85-94 - [c50]Colleen Bailey, Sarah Vinnicombe, Eleftheria Panagiotaki, Shelley A. Waugh, John H. Hipwell, Daniel C. Alexander, Kathryn Kitching, Patsy J. Whelehan, Sarah E. Pinder, Andrew Evans, David J. Hawkes:
Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion. Digital Mammography / IWDM 2014: 380-386 - [c49]Joseph G. Jacobs, Eleftheria Panagiotaki, Daniel C. Alexander:
Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields. MLMI 2014: 85-92 - [c48]Daniel C. Alexander, Darko Zikic, Jiaying Zhang, Hui Zhang, Antonio Criminisi:
Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI. MICCAI (3) 2014: 225-232 - [c47]Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang:
In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI. MICCAI (3) 2014: 241-248 - [c46]Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging. MICCAI (3) 2014: 257-264 - [r1]Daniel C. Alexander:
Image Registration. Computer Vision, A Reference Guide 2014: 380-385 - 2013
- [j23]Yaniv Assaf, Daniel C. Alexander, Derek K. Jones, Alberto Bizzi, Tim E. J. Behrens, Chris A. Clark, Yoram Cohen, Tim B. Dyrby, Petra S. Huppi, Thomas R. Knösche, Denis Le Bihan, Geoffrey J. M. Parker, Cyril Poupon:
The CONNECT project: Combining macro- and micro-structure. NeuroImage 80: 273-282 (2013) - [c45]Matthew C. Rowe, Hui Gary Zhang, Neil Oxtoby, Daniel C. Alexander:
Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure. IPMI 2013: 402-413 - [c44]Enrico Kaden, Daniel C. Alexander:
Can T 2 -Spectroscopy Resolve Submicrometer Axon Diameters? IPMI 2013: 607-618 - [c43]Uran Ferizi, Torben Schneider, Eleftheria Panagiotaki, Gemma L. Nedjati-Gilani, Hui Gary Zhang, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
Ranking diffusion-MRI models with in-vivo human brain data. ISBI 2013: 676-679 - [c42]Mark Lyksborg, Tim Bjørn Dyrby, Per Soelberg Sørensen, Morten Blinkenberg, Hartwig Roman Siebner, Daniel C. Alexander, Rasmus Larsen, Hui Zhang:
Tract-oriented statistical group comparison of diffusion in sheet-like white matter. ISBI 2013: 1288-1291 - [c41]Uran Ferizi, Torben Schneider, Maira Tariq, Claudia A. M. Wheeler-Kingshott, Hui Gary Zhang, Daniel C. Alexander:
The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data. MICCAI (1) 2013: 74-81 - [c40]Viktor Wottschel, Olga Ciccarelli, Declan T. Chard, David H. Miller, Daniel C. Alexander:
Prediction of Second Neurological Attack in Patients with Clinically Isolated Syndrome Using Support Vector Machines. PRNI 2013: 82-85 - 2012
- [j22]Eleftheria Panagiotaki, Torben Schneider, Bernard Siow, Matt G. Hall, Mark F. Lythgoe, Daniel C. Alexander:
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison. NeuroImage 59(3): 2241-2254 (2012) - [j21]Michiel Kleinnijenhuis, Markus Barth, Daniel C. Alexander, Anne-Marie van Cappellen van Walsum, David G. Norris:
Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging. NeuroImage 59(4): 3941-3954 (2012) - [j20]Hubert M. J. Fonteijn, Marc Modat, Matthew J. Clarkson, Josephine Barnes, Manja Lehmann, Nicola Z. Hobbs, Rachael I. Scahill, Sarah J. Tabrizi, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander:
An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease. NeuroImage 60(3): 1880-1889 (2012) - [j19]Hui Zhang, Torben Schneider, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage 61(4): 1000-1016 (2012) - [j18]Tony Shepherd, Simon J. D. Prince, Daniel C. Alexander:
Interactive Lesion Segmentation with Shape Priors From Offline and Online Learning. IEEE Trans. Medical Imaging 31(9): 1698-1712 (2012) - [c39]Jonathan Huang, Daniel C. Alexander:
Probabilistic Event Cascades for Alzheimer's disease. NIPS 2012: 3104-3112 - 2011
- [j17]Hui Zhang, Penny L. Hubbard, Geoffrey J. M. Parker, Daniel C. Alexander:
Axon diameter mapping in the presence of orientation dispersion with diffusion MRI. NeuroImage 56(3): 1301-1315 (2011) - [c38]Hubert M. J. Fonteijn, Matthew J. Clarkson, Marc Modat, Josephine Barnes, Manja Lehmann, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander:
An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease. IPMI 2011: 748-759 - [c37]Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander:
Exploiting hierarchy in structural brain networks. ISBI 2011: 871-874 - [c36]Hui Zhang, Tim B. Dyrby, Daniel C. Alexander:
Axon Diameter Mapping in Crossing Fibers with Diffusion MRI. MICCAI (2) 2011: 82-89 - [c35]Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander:
Hierarchy in structural brain networks. MIUA 2011: 29-34 - [c34]Gemma Louise Morgan, Hui Zhang, Brandon J. Whitcher, Daniel C. Alexander:
A Bayesian framework for modelling the regional variation of white matter microstructure. MIUA 2011: 93-98 - [c33]Philip P. Kwok, Olga Ciccarelli, Declan T. Chard, David H. Miller, Daniel C. Alexander:
Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM. MLINI 2011: 116-123 - 2010
- [j16]Daniel C. Alexander, Penny L. Hubbard, Matt G. Hall, Elizabeth A. Moore, Maurice Ptito, Geoffrey J. M. Parker, Tim B. Dyrby:
Orientationally invariant indices of axon diameter and density from diffusion MRI. NeuroImage 52(4): 1374-1389 (2010) - [c32]Raphael Prevost, David L. Buckley, Daniel C. Alexander:
Optimization of the DCE-CT protocol using active imaging. ISBI 2010: 776-779 - [c31]Anthony J. Sherbondy, Matthew C. Rowe, Daniel C. Alexander:
MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation. MICCAI (1) 2010: 183-190 - [c30]Eleftheria Panagiotaki, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe, Daniel C. Alexander:
High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations. MICCAI (2) 2010: 404-411 - [c29]Matthew J. Clarkson, Ian B. Malone, Marc Modat, Kelvin K. Leung, Natalie S. Ryan, Daniel C. Alexander, Nick C. Fox, Sébastien Ourselin:
A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation. MICCAI (1) 2010: 534-541 - [c28]Torben Schneider, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation. MICCAI (1) 2010: 623-630 - [c27]Hui Zhang, Daniel C. Alexander:
Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI. MICCAI (1) 2010: 640-647
2000 – 2009
- 2009
- [j15]Hamied A. Haroon, David M. Morris, Karl V. Embleton, Daniel C. Alexander, Geoffrey J. M. Parker:
Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q -Ball Analysis. IEEE Trans. Medical Imaging 28(4): 535-550 (2009) - [j14]Matt G. Hall, Daniel C. Alexander:
Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI. IEEE Trans. Medical Imaging 28(9): 1354-1364 (2009) - [c26]Jonathan D. Clayden, Zoltán Nagy, Matt G. Hall, Chris A. Clark, Daniel C. Alexander:
Active Imaging with Dual Spin-Echo Diffusion MRI. IPMI 2009: 264-275 - [c25]Eleftheria Panagiotaki, Hubert M. J. Fonteijn, Bernard Siow, Matt G. Hall, Anthony Price, Mark F. Lythgoe, Daniel C. Alexander:
Two-Compartment Models of the Diffusion MR Signal in Brain White Matter. MICCAI (1) 2009: 329-336 - [e1]Andrea Cavallaro, Simon Prince, Daniel C. Alexander:
British Machine Vision Conference, BMVC 2009, London, UK, September 7-10, 2009. Proceedings. British Machine Vision Association 2009, ISBN 1-901725-39-1 [contents] - 2008
- [j13]Mahinda Yogarajah, H. W. Robert Powell, Geoffrey J. M. Parker, Daniel C. Alexander, Pamela J. Thompson, Mark R. Symms, Philip A. Boulby, Claudia A. M. Wheeler-Kingshott, Gareth J. Barker, Matthias J. Koepp, John S. Duncan:
Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy. NeuroImage 40(4): 1755-1764 (2008) - [c24]Tony Shepherd, Daniel C. Alexander:
Supervised methods for perfect segmentation in medical images. ICIP 2008: 1460-1463 - [c23]Shahrum Nedjati-Gilani, Daniel C. Alexander, Geoffrey J. M. Parker:
Regularized super-resolution for diffusion MRI. ISBI 2008: 875-878 - [c22]Yu Bai, Daniel C. Alexander:
Model-based registration to correct for motion between acquisitions in diffusion MR imaging. ISBI 2008: 947-950 - 2007
- [j12]H. W. Robert Powell, Geoffrey J. M. Parker, Daniel C. Alexander, Mark R. Symms, Philip A. Boulby, Claudia A. M. Wheeler-Kingshott, Gareth J. Barker, Matthias J. Koepp, John S. Duncan:
Abnormalities of language networks in temporal lobe epilepsy. NeuroImage 36(1): 209-221 (2007) - [j11]Tim B. Dyrby, Lise V. Søgaard, Geoffrey J. M. Parker, Daniel C. Alexander, Nanna M. Lind, William F. C. Baaré, Anders Hay-Schmidt, Nina Eriksen, Bente Pakkenberg, Olaf B. Paulson, Jacob Jelsing:
Validation of in vitro probabilistic tractography. NeuroImage 37(4): 1267-1277 (2007) - [j10]Daniel C. Alexander, T. Jiang, Carl-Fredrik Westin:
Guest Editorial Special Issue on Computational Diffusion MRI. IEEE Trans. Medical Imaging 26(11): 1425-1427 (2007) - [c21]Christopher Rohan Senanayake, Daniel C. Alexander:
Colour Transfer by Feature Based Histogram Registration. BMVC 2007: 1-10 - [c20]Daniel C. Alexander:
Axon radius measurements in vivo from diffusion MRI: a feasibility study. ICCV 2007: 1-8 - [c19]Kiran K. Seunarine, Philip A. Cook, Matt G. Hall, Karl V. Embleton, Geoffrey J. M. Parker, Daniel C. Alexander:
Exploiting peak anisotropy for tracking through complex structures. ICCV 2007: 1-8 - 2006
- [j9]Hui Zhang, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee:
Deformable registration of diffusion tensor MR images with explicit orientation optimization. Medical Image Anal. 10(5): 764-785 (2006) - [j8]H. W. Robert Powell, Geoffrey J. M. Parker, Daniel C. Alexander, Mark R. Symms, Philip A. Boulby, Claudia A. M. Wheeler-Kingshott, Gareth J. Barker, Uta Noppeney, Matthias J. Koepp, John S. Duncan:
Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study. NeuroImage 32(1): 388-399 (2006) - [p2]Daniel C. Alexander:
An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond. Visualization and Processing of Tensor Fields 2006: 83-106 - [p1]James C. Gee, Daniel C. Alexander:
Diffusion-Tensor Image Registration. Visualization and Processing of Tensor Fields 2006: 327-342 - 2005
- [j7]Geoffrey J. M. Parker, Simona Luzzi, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Olga Ciccarelli, Matthew A. Lambon Ralph:
Lateralization of ventral and dorsal auditory-language pathways in the human brain. NeuroImage 24(3): 656-666 (2005) - [j6]Daniel C. Alexander, Gareth J. Barker:
Optimal imaging parameters for fiber-orientation estimation in diffusion MRI. NeuroImage 27(2): 357-367 (2005) - [c18]Daniel C. Alexander:
Maximum Entropy Spherical Deconvolution for Diffusion MRI. IPMI 2005: 76-87 - [c17]Philip A. Cook, Hui Zhang, Brian B. Avants, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee, Olga Ciccarelli, Alan J. Thompson:
An Automated Approach to Connectivity-Based Partitioning of Brain Structures. MICCAI 2005: 164-171 - 2004
- [j5]Olivier Coulon, Daniel C. Alexander, Simon R. Arridge:
Diffusion tensor magnetic resonance image regularization. Medical Image Anal. 8(1): 47-67 (2004) - [c16]Philip A. Cook, Daniel C. Alexander, Geoffrey J. M. Parker:
Modelling Noise-Induced Fibre-Orientation Error in Diffusion-Tensor MRI. ISBI 2004: 332-336 - 2003
- [c15]Kalvis M. Jansons, Daniel C. Alexander:
Persistent Angular Structure: New Insights from Diffusion MRI Data. Dummy Version. IPMI 2003: 672-683 - [c14]Geoffrey J. M. Parker, Daniel C. Alexander:
Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information. IPMI 2003: 684-695 - [c13]Kathleen M. Curran, Daniel C. Alexander:
Diffusion Tensor Orientation Matching for Image Registration. Image Processing 2003 - [c12]Jeffrey T. Duda, Mariano Rivera, Daniel C. Alexander, James C. Gee:
A method for non-rigid registration of diffusion tensor magnetic resonance images. Image Processing 2003 - [c11]Anthony Steed, Daniel C. Alexander, Philip A. Cook, Chris Parker:
Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies. TPCG 2003: 156-161 - 2002
- [j4]Derek K. Jones, Lewis D. Griffin, Daniel C. Alexander, Marco Catani, Mark A. Horsfield, Robert J. Howard, Steven C. R. Williams:
Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets. NeuroImage 17(2): 592-617 (2002) - [c10]James C. Gee, Daniel C. Alexander, Mariano Rivera, Jeffrey T. Duda:
Non-rigid registration of diffusion tensor MR images. ISBI 2002: 477-480 - 2001
- [j3]Daniel C. Alexander, Bernard F. Buxton:
Statistical Modeling of Colour Data. Int. J. Comput. Vis. 44(2): 87-109 (2001) - [j2]Daniel C. Alexander, Carlo Pierpaoli, Peter J. Basser, James C. Gee:
Spatial Transformations of Diffusion Tensor Magnetic Resonance Images. IEEE Trans. Medical Imaging 20(11): 1131-1139 (2001) - [c9]Olivier Coulon, Daniel C. Alexander, Simon R. Arridge:
A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images. IPMI 2001: 92-105 - 2000
- [j1]Daniel C. Alexander, James C. Gee:
Elastic Matching of Diffusion Tensor Images. Comput. Vis. Image Underst. 77(2): 233-250 (2000) - [c8]Daniel C. Alexander, Carlo Pierpaoli, Peter J. Basser, James C. Gee:
Techniques for spatial normalization of diffusion tensor images. Image Processing 2000
1990 – 1999
- 1999
- [c7]Daniel C. Alexander, James C. Gee, Ruzena Bajcsy:
Similarity Measures for Matching Diffusion Tensor Images. BMVC 1999: 1-10 - [c6]Daniel C. Alexander, James C. Gee, Ruzena Bajcsy:
Elastic Matching of Diffusion Tensor MRIs. CVPR 1999: 1244-1249 - [c5]Daniel C. Alexander:
Advances in Daylight Statistical Colour Modelling. CVPR 1999: 1313-1318 - [c4]Daniel C. Alexander, James C. Gee, Ruzena Bajcsy:
Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images. MICCAI 1999: 463-472 - 1997
- [c3]Daniel C. Alexander, Bernard F. Buxton:
Implementational Improvements for Active Region Models. BMVC 1997 - [c2]Daniel C. Alexander, Bernard F. Buxton:
Modelling of single mode distributions of colour data using directional statistics. CVPR 1997: 319-324 - 1996
- [c1]Daniel C. Alexander, Bernard F. Buxton:
An evaluation of physically based statistical colour models for image region characterisation. ICIP (3) 1996: 1023-1026
Coauthor Index
Neil Oxtoby
aka: Neil P. Oxtoby
aka: Neil P. Oxtoby
Geoffrey J. M. Parker
aka: Geoff J. M. Parker
aka: Geoff J. M. Parker
Claudia A. M. Gandini Wheeler-Kingshott
aka: Claudia A. M. Wheeler-Kingshott
aka: Claudia A. M. Wheeler-Kingshott
Moucheng Xu
aka: Mou-Cheng Xu
aka: Mou-Cheng Xu
Hui Zhang 0005
aka: Hui Gary Zhang
aka: Hui Gary Zhang
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-17 22:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
