Daniel C. Alexander

316 papers A* 16A 8B 5Misc 1Journal 178Unranked 88
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling.
AAAI
Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander
2026 J jnl
Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts.
CoRR
Shahab Aslani, Mehran Azimbagirad, Daryl Cheng, Daisuke Yamada, Ryoko Egashira, Adam Szmul, Justine Chan-Fook, Robert Chapman, Alfred Chung Pui So, Shanshan Wang, John McCabe, Tianqi Yang, Jose M. Brenes, Eyjolfur Gudmundsson, SUMMIT Consortium, Susan M. Astley, Daniel C. Alexander, Sam M. Janes, Joseph Jacob
2026 J jnl
Bayesian Uncertainty-Aware MRI Reconstruction.
CoRR
Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander
2026 A* conf
CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis.
AAAI
Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Ravì, Daniel C. Alexander
2026 J jnl
Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data.
CoRR
Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij, Daniel C. Alexander, Alexandra L. Young, Esther E. Bron
2026 J jnl
Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis.
CoRR
Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Daniel C. Alexander, Le Zhang
2026 J jnl
MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction.
CoRR
Seunghoi Kim, Chen Jin, Henry F. J. Tregidgo, Matteo Figini, Daniel C. Alexander
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part I
MICCAI (1)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part II
MICCAI (2)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III
MICCAI (3)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IV
MICCAI (4)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IX
MICCAI (9)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part V
MICCAI (5)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VI
MICCAI (6)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VII
MICCAI (7)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VIII
MICCAI (8)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part X
MICCAI (10)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XI
MICCAI (11)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XII
MICCAI (12)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIII
MICCAI (13)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIV
MICCAI (14)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XV
MICCAI (15)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XVI
MICCAI (16)
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026 J jnl
ProFound: A moderate-sized vision foundation model for multi-task prostate imaging.
CoRR
Yipei Wang, Yinsong Xu, Weixi Yi, Shaheer Ullah Saeed, Natasha Thorley, Alexander Ng, Yukun Zhou, Wen Yan, Dean C. Barratt, Shonit Punwani, Veeru Kasivisvanathan, Mark Emberton, Daniel C. Alexander, Yipeng Hu
2026 J jnl
Understanding the Transfer Limits of Vision Foundation Models.
CoRR
Shiqi Huang, Yipei Wang, Natasha Thorley, Alexander Ng, Shaheer U. Saeed, Mark Emberton, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Daniel C. Alexander, Yipeng Hu
2025 J jnl
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis.
CoRR
An Zhao, Moucheng Xu, Ahmed H. Shahin, Wim A. Wuyts, Mark G. Jones, Joseph Jacob, Daniel C. Alexander
2025 J jnl
A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging.
CoRR
Peirong Liu, Oula Puonti, Xiaoling Hu, Karthik Gopinath, Annabel Sorby-Adams, Daniel C. Alexander, W. Taylor Kimberly, Juan Eugenio Iglesias
2025 J jnl
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling.
CoRR
Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander
2025 J jnl
A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs.
CoRR
Niccolò McConnell, Pardeep Vasudev, Daisuke Yamada, Daryl Cheng, Mehran Azimbagirad, John McCabe, Shahab Aslani, Ahmed H. Shahin, Yukun Zhou, SUMMIT Consortium, André Altmann, Yipeng Hu, Paul Taylor, Sam M. Janes, Daniel C. Alexander, Joseph Jacob
2025 J jnl
A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease.
NeuroImage
Vikram Venkatraghavan, Damiano Archetti, Pierrick Bourgeat, Chenyang Jiang, Mara ten Kate, Anna Catharina van Loenhoud, Rik Ossenkoppele, Charlotte E. Teunissen, Elsmarieke van de Giessen, Yolande A. L. Pijnenburg, Giovanni B. Frisoni, Béla Weiss, Zoltán Vidnyánszky, Tibor Auer, Stanley Durrleman, Alberto Redolfi, Simon M. Laws, Paul Maruff, Neil P. Oxtoby, André Altmann, Daniel C. Alexander, Wiesje M. van der Flier, Frederik Barkhof, Betty M. Tijms
2025 J jnl
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimation.
Medical Image Anal.
Tianshu Zheng, Chuyang Ye, Zhaopeng Cui, Hui Zhang, Daniel C. Alexander, Dan Wu
2025 — conf
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications.
MICCAI (4)
Yucheng Tang, Yunguan Fu, Weixi Yi, Yipei Wang, Daniel C. Alexander, Rhodri H. Davies, Yipeng Hu
2025 J jnl
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications.
CoRR
Yucheng Tang, Yunguan Fu, Weixi Yi, Yipei Wang, Daniel C. Alexander, Rhodri H. Davies, Yipeng Hu
2025 A* conf
Balancing Act: Diversity and Consistency in Large Language Model Ensembles.
ICLR
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
2025 J jnl
Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion.
CoRR
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2025 J jnl
Brain Latent Progression: Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion.
Medical Image Anal.
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2025 J jnl
Connectomics Informed by Large Language Models.
CoRR
Elinor Thompson, Tiantian He, Anna Schroder, Ahmed Abdulaal, Alec Sargood, Sonja Soskic, Henry F. J. Tregidgo, Daniel C. Alexander
2025 J jnl
Deep generative priors for 3D brain analysis.
CoRR
Ana Lawry Aguila, Dina Zemlyanker, You Cheng, Sudeshna Das, Daniel C. Alexander, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias
2025 J jnl
GenTract: Generative Global Tractography.
CoRR
Alec Sargood, Lemuel Puglisi, Elinor Thompson, Mirco Musolesi, Daniel C. Alexander
2025 J jnl
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics.
CoRR
Yukun Zhou, Paul Nderitu, Jocelyn Hui Lin Goh, Justin Engelmann, Siegfried K. Wagner, Emma Anran Ran, Hongyang Jiang, Lie Ju, Ke Zou, Sahana Srinivasan, Hyunmin Kim, Takahiro Ninomiya, Zheyuan Wang, Gabriel Dawei Yang, Eden Ruffell, Dominic Williamson, Rui Santos, Gábor Márk Somfai, Carol Y. Cheung, Tien Yin Wong, Daniel C. Alexander, Yih Chung Tham, Pearse A. Keane
2025 J jnl
HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration.
CoRR
Seunghoi Kim, Henry F. J. Tregidgo, Chen Jin, Matteo Figini, Daniel C. Alexander
2025 — conf
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning.
EMA4MICCAI
Yucheng Tang, Pawel Rajwa, Alexander Ng, Yipei Wang, Wen Yan, Natasha Thorley, Aqua Asif, Clare Allen, Louise Dickinson, Francesco Giganti, Shonit Punwani, Daniel C. Alexander, Veeru Kasivisvanathan, Yipeng Hu
2025 J jnl
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning.
CoRR
Yucheng Tang, Pawel Rajwa, Alexander Ng, Yipei Wang, Wen Yan, Natasha Thorley, Aqua Asif, Clare Allen, Louise Dickinson, Francesco Giganti, Shonit Punwani, Daniel C. Alexander, Veeru Kasivisvanathan, Yipeng Hu
2025 J jnl
LLM enhanced graph inference for long-term disease progression modelling.
CoRR
Tiantian He, An Zhao, Elinor Thompson, Anna Schroder, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
2025 J jnl
Reasoning in machine vision: learning to think fast and slow.
CoRR
Shaheer U. Saeed, Yipei Wang, Veeru Kasivisvanathan, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu, Daniel C. Alexander
2025 — conf
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS.
MICCAI (4)
Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander
2025 J jnl
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS.
CoRR
Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander
2025 J jnl
Towards Generalisable Foundation Models for 3D Brain MRI.
CoRR
Moona Mazher, Geoff J. M. Parker, Daniel C. Alexander
2025 J jnl
Understanding the robustness of vision-language models to medical image artefacts.
npj Digit. Medicine
Zijie Cheng, Ariel Yuhan Ong, Siegfried K. Wagner, David Adrian Merle, Lie Ju, Hanyuan Zhang, Ruinian Chen, Linze Pang, Boxuan Li, Tiantian He, Emma Anran Ran, Hongyang Jiang, Gabriel Dawei Yang, Ke Zou, Jocelyn Hui Lin Goh, Sahana Srinivasan, André Altmann, Daniel C. Alexander, Carol Y. Cheung, Yih Chung Tham, Pearse A. Keane, Yukun Zhou
2024 J jnl
A flexible generative algorithm for growing in silico placentas.
PLoS Comput. Biol.
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
2024 J jnl
Alternative Learning Paradigms for Image Quality Transfer.
CoRR
Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander
2024 J jnl
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation.
CoRR
Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro
2024 J jnl
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
Medical Image Anal.
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J. M. Parker, Arman Eshaghi
2024 — conf
Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging.
ECCV (12)
Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias
2024 J jnl
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement.
Medical Image Anal.
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
2024 A* conf
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning.
ICLR
Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander
2024 J jnl
CenTime: Event-conditional modelling of censoring in survival analysis.
Medical Image Anal.
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
2024 — conf
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model.
ECCV Workshops (11)
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
2024 J jnl
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model.
CoRR
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
2024 — conf
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge.
MICCAI (2)
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2024 J jnl
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge.
CoRR
Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì
2024 J jnl
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Comput. Medical Imaging Graph.
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
2024 J jnl
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
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
2024 J jnl
Expectation maximisation pseudo labels.
Medical Image Anal.
Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2024 A* conf
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection.
ICLR
Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander
2024 — conf
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI.
CDMRI@MICCAI
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
2024 J jnl
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance.
J. Big Data
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
2024 J jnl
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels.
CoRR
Moucheng Xu, Yukun Zhou, Tobias Goodwin-Allcock, Kimia Firoozabadi, Joseph Jacob, Daniel C. Alexander, Paddy J. Slator
2024 J jnl
SCREENER: A general framework for task-specific experiment design in quantitative MRI.
CoRR
Tianshu Zheng, Zican Wang, Timothy J. P. Bray, Daniel C. Alexander, Dan Wu, Hui Zhang
2024 — conf
Spectral Transition Evaluation and Heatmap Extraction for Deep Learning Classifiers.
MICAD
Mehran Azimbagirad, Pardeep Vasudev, Adam Szmul, John McCabe, Shahab Aslani, Niccolò McConnell, Brintha Selvarajah, Amyn Bhamani, Daniel C. Alexander, Joseph Jacob
2024 — conf
Tackling Structural Hallucination in Image Translation with Local Diffusion.
ECCV (81)
Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander
2024 J jnl
Tackling Structural Hallucination in Image Translation with Local Diffusion.
CoRR
Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander
2024 A* conf
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport.
NeurIPS
Peter A. Wijeratne, Daniel C. Alexander
2024 J jnl
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport.
CoRR
Peter A. Wijeratne, Daniel C. Alexander
2023 J jnl
A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI.
CoRR
Seunghoi Kim, Henry F. J. Tregidgo, Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander
2023 J jnl
A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR
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
2023 — conf
A Coupled-Mechanisms Modelling Framework for Neurodegeneration.
MICCAI (8)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
2023 J jnl
A coupled-mechanisms modelling framework for neurodegeneration.
CoRR
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
2023 J jnl
A data-centric deep learning approach to airway segmentation.
CoRR
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
2023 J jnl
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study.
CoRR
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob
2023 J jnl
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.
NeuroImage
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
2023 J jnl
Brain-ID: Learning Robust Feature Representations for Brain Imaging.
CoRR
Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias
2023 J jnl
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis.
CoRR
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
2023 — conf
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.
MIDL
Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì
2023 J jnl
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.
CoRR
Lemuel Puglisi, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi, Daniele Ravì
2023 — conf
Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.
MICCAI (8)
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
2023 J jnl
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI.
CoRR
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
2023 J jnl
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2023 J jnl
Learning from multiple annotators for medical image segmentation.
Pattern Recognit.
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
2023 J jnl
Low-field magnetic resonance image enhancement via stochastic image quality transfer.
CoRR
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
2023 J jnl
Low-field magnetic resonance image enhancement via stochastic image quality transfer.
Medical Image Anal.
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
2023 J jnl
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2023 J jnl
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset.
Frontiers Neuroinformatics
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
2023 J jnl
Rician likelihood loss for quantitative MRI using self-supervised deep learning.
CoRR
Christopher S. Parker, Anna Schroder, Sean C. Epstein, James Cole, Daniel C. Alexander, Hui Zhang
2023 — conf
Subtype and Stage Inference with Timescales.
IPMI
Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, Peter A. Wijeratne
2023 J jnl
Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage
Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann
2022 J jnl
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization.
CoRR
Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander
2022 J jnl
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
CoRR
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi
2022 J jnl
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2022 — conf
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
MICCAI (5)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2022 J jnl
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial.
IEEE Access
Yaozhi Lu, Shahab Aslani, Mark Emberton, Daniel C. Alexander, Joseph Jacob
2022 J jnl
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.
Medical Image Anal.
Alessia Atzeni, Loïc Peter, Eleanor D. Robinson, Emily Blackburn, Juri Althonayan, Daniel C. Alexander, Juan Eugenio Iglesias
2022 J jnl
Deformably-Scaled Transposed Convolution.
CoRR
Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander
2022 J jnl
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal.
Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby
2022 J jnl
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR
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
2022 J jnl
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning.
CoRR
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
2022 — conf
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning.
CDMRI@MICCAI
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
2022 — conf
Gland segmentation in gastric histology images: detection of intestinal metaplasia.
EUSIPCO
Panagiotis Barmpoutis, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Daniel C. Alexander, Marnix Jansen
2022 — conf
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
MIDL
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 J jnl
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 A* conf
Learning to Downsample for Segmentation of Ultra-High Resolution Images.
ICLR
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander
2022 — conf
Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset.
CaPTion@MICCAI
Panagiotis Barmpoutis, Jing Yuan, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C. Alexander, Marnix Jansen
2022 — conf
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
MICAD
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
2022 J jnl
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
CoRR
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
2022 — conf
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.
MICCAI (8)
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
2022 — conf
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.
MICCAI (6)
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
2022 J jnl
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.
CoRR
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
2022 — conf
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.
MIDL
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
2022 J jnl
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.
CoRR
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
2022 J jnl
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models.
Frontiers Artif. Intell.
Neil P. Oxtoby, Cameron Shand, David M. Cash, Daniel C. Alexander, Frederik Barkhof
2022 J jnl
Ten years of image analysis and machine learning competitions in dementia.
NeuroImage
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
2022 J jnl
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.
CoRR
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
2021 J jnl
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access
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
2021 J jnl
A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease.
Frontiers Big Data
Peter A. Wijeratne, Eileanoir B. Johnson, Sarah Gregory, Nellie Georgiou-Karistianis, Jane S. Paulsen, Rachael I. Scahill, Sarah J. Tabrizi, Daniel C. Alexander
2021 A conf
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation.
BMVC
Seunghoi Kim, Daniel C. Alexander
2021 J jnl
Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835].
NeuroImage
Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang
2021 J jnl
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.
Medical Image Anal.
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
2021 J jnl
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
CoRR
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
2021 — conf
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts.
MICCAI (6)
Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander
2021 J jnl
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.
BMC Medical Informatics Decis. Mak.
Nonie Alexander, Daniel C. Alexander, Frederik Barkhof, Spiros C. Denaxas
2021 J jnl
Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.
Frontiers Big Data
Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi
2021 J jnl
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
Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
2021 — conf
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression.
IPMI
Peter A. Wijeratne, Daniel C. Alexander
2021 — conf
Learning to Address Intra-segment Misclassification in Retinal Imaging.
MICCAI (1)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
2021 J jnl
Learning to Address Intra-segment Misclassification in Retinal Imaging.
CoRR
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
2021 J jnl
Learning to Downsample for Segmentation of Ultra-High Resolution Images.
CoRR
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander
2021 J jnl
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.
NeuroImage
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
2021 J jnl
Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study.
NeuroImage
Andrada Ianus, Daniel C. Alexander, Hui Zhang, Marco Palombo
2021 J jnl
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
2021 J jnl
Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases.
Neuroinformatics
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
2021 J jnl
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage
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
2021 J jnl
On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol.
NeuroImage
Noemi G. Gyori, Christopher A. Clark, Daniel C. Alexander, Enrico Kaden
2021 J jnl
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease.
ACM Trans. Comput. Heal.
Maura Bellio, Dominic Furniss, Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Annemie Ribbens, Daniel C. Alexander, Ann Blandford
2021 J jnl
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.
Frontiers Artif. Intell.
Alexandra L. Young, Jacob W. Vogel, Leon M. Aksman, Peter A. Wijeratne, Arman Eshaghi, Neil P. Oxtoby, Steven C. R. Williams, Daniel C. Alexander
2021 J jnl
Ten years of image analysis and machine learning competitions in dementia.
CoRR
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
2021 Misc conf
Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis.
DICTA
Panagiotis Barmpoutis, Hamzeh Kayhanian, William Waddingham, Daniel C. Alexander, Marnix Jansen
2021 J jnl
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.
NeuroImage
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
2021 J jnl
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms.
CoRR
Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias
2021 J jnl
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms.
IEEE Trans. Medical Imaging
Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias
2021 J jnl
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.
SoftwareX
Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young
2020 J jnl
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests.
IEEE J. Biomed. Health Informatics
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
2020 J jnl
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation.
NeuroImage
Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang
2020 J jnl
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage
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
2020 — conf
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect.
MICCAI (6)
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
2020 J jnl
DeepReg: a deep learning toolkit for medical image registration.
CoRR
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
2020 J jnl
DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw.
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
2020 A* conf
Disentangling Human Error from Ground Truth in Segmentation of Medical Images.
NeurIPS
Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander
2020 J jnl
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.
CoRR
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
2020 — conf
Foveation for Segmentation of Mega-Pixel Histology Images.
MICCAI (5)
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander
2020 J jnl
Foveation for Segmentation of Ultra-High Resolution Images.
CoRR
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander
2020 J jnl
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.
CoRR
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
2020 J jnl
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
Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
2020 A conf
Learning To Pay Attention To Mistakes.
BMVC
Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
2020 J jnl
Learning To Pay Attention To Mistakes.
CoRR
Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
2020 — conf
Learning to Segment When Experts Disagree.
MICCAI (1)
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
2020 J jnl
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression.
CoRR
Peter A. Wijeratne, Daniel C. Alexander
2020 J jnl
Multi-parametric quantitative
NeuroImage
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
2020 J jnl
Predicting Alzheimer's disease progression using deep recurrent neural networks.
NeuroImage
Minh Nguyen, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo
2020 J jnl
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI.
NeuroImage
Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang
2020 — conf
Trajectories of Disease Accumulation Using Electronic Health Records.
MIE
Pere Planell-Morell, Madhavi Bajekal, Spiros C. Denaxas, Rosalind Raine, Daniel C. Alexander
2020 — conf
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.
MIE
Nonie Alexander, Daniel C. Alexander, Frederik Barkhof, Spiros C. Denaxas
2019 J jnl
A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal.
NeuroImage
Marco Palombo, Daniel C. Alexander, Hui Zhang
2019 A* conf
Adaptive Neural Trees.
ICML
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori
2019 — conf
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes.
MBIA/MFCA@MICCAI
Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland
2019 J jnl
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.
CoRR
Razvan V. Marinescu, Daniel C. Alexander, Polina Golland
2019 — conf
Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation.
IPMI
Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo
2019 J jnl
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.
NeuroImage
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
2019 J jnl
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
CoRR
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019 J jnl
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019 — conf
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.
MLMIR@MICCAI
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
2019 J jnl
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.
CoRR
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
2019 J jnl
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR
Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby
2019 — conf
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
MICCAI (3)
Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby
2019 J jnl
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
CoRR
Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby
2019 J jnl
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI
NeuroImage
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
2019 — conf
Disease Knowledge Transfer Across Neurodegenerative Diseases.
MICCAI (2)
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
2019 J jnl
Disease Knowledge Transfer across Neurodegenerative Diseases.
CoRR
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
2019 — conf
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI.
IPMI
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
2019 J jnl
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion.
CoRR
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
2019 A* conf
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion.
CVPR
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
2019 — conf
Learning Task-Specific and Shared Representations in Medical Imaging.
MICCAI (4)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
2019 J jnl
Multi-Stage Prediction Networks for Data Harmonization.
CoRR
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
2019 — conf
Multi-stage Prediction Networks for Data Harmonization.
MICCAI (4)
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
2019 J jnl
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.
NeuroImage
Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin
2019 A* conf
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.
ICCV
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso
2019 J jnl
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.
CoRR
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
2019 — conf
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
PRIME@MICCAI
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
2019 J jnl
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement.
CoRR
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
2018 J jnl
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal.
CoRR
Marco Palombo, Daniel C. Alexander, Hui Zhang
2018 J jnl
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain.
NeuroImage
Andrada Ianus, Sune Nørhøj Jespersen, Teresa Serradas Duarte, Daniel C. Alexander, Ivana Drobnjak, Noam Shemesh
2018 J jnl
Adaptive Neural Trees.
CoRR
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori
2018 — conf
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
MICCAI (1)
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander
2018 J jnl
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
CoRR
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander
2018 J jnl
Experimental studies of g-ratio MRI in ex vivo mouse brain.
NeuroImage
Kathryn L. West, Nathaniel D. Kelm, Robert P. Carson, Daniel C. Alexander, Daniel F. Gochberg, Mark D. Does
2018 J jnl
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank.
NeuroImage
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
2018 J jnl
Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI.
NeuroImage
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
2018 — conf
Modeling Alzheimer's disease progression using deep recurrent neural networks.
PRNI
Minh Nguyen, Nanbo Sun, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo
2018 J jnl
Neuroimage special issue on microstructure - Editorial.
NeuroImage
Nikola Stikov, Daniel C. Alexander, G. Bruce Pike
2018 J jnl
Susceptibility of brain atrophy to
Proc. Natl. Acad. Sci. USA
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
2018 — conf
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
MICCAI (4)
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
2018 J jnl
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning.
CoRR
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
2018 J jnl
Using diffusion MRI to discriminate areas of cortical grey matter.
NeuroImage
Tharindu Ganepola, Zoltán Nagy, Aurobrata Ghosh, Théodore Papadopoulo, Daniel C. Alexander, Martin I. Sereno
2017 — conf
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
IPMI
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander
2017 J jnl
A tract-specific approach to assessing white matter in preterm infants.
NeuroImage
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
2017 — conf
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution.
MICCAI (1)
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
2017 J jnl
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution.
CoRR
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
2017 — conf
Detecting and Classifying Nuclei on a Budget.
CVII-STENT/LABELS@MICCAI
Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki
2017 J jnl
ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research.
CoRR
Nicholas C. Firth, Emma Harding, Mary Pat Sullivan, Sebastian J. Crutch, Daniel C. Alexander
2017 J jnl
Early development of structural networks and the impact of prematurity on brain connectivity.
NeuroImage
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
2017 J jnl
Image quality transfer and applications in diffusion MRI.
NeuroImage
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
2017 J jnl
Improved tractography using asymmetric fibre orientation distributions.
NeuroImage
Matteo Bastiani, Michiel Cottaar, Krikor Dikranian, Aurobrata Ghosh, Hui Zhang, Daniel C. Alexander, Tim E. J. Behrens, Saâd Jbabdi, Stamatios N. Sotiropoulos
2017 J jnl
Machine learning based compartment models with permeability for white matter microstructure imaging.
NeuroImage
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
2016 J jnl
Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease.
NeuroImage
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
2016 — conf
Bayesian Image Quality Transfer.
MICCAI (2)
Ryutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander
2016 J jnl
Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI.
NeuroImage
Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang
2016 — conf
Microstructure Imaging Sequence Simulation Toolbox.
SASHIMI@MICCAI
Andrada Ianus, Daniel C. Alexander, Ivana Drobnjak
2016 J jnl
Multi-compartment microscopic diffusion imaging.
NeuroImage
Enrico Kaden, Nathaniel D. Kelm, Robert P. Carson, Mark D. Does, Daniel C. Alexander
2015 J jnl
A simulation system for biomarker evolution in neurodegenerative disease.
Medical Image Anal.
Alexandra L. Young, Neil P. Oxtoby, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander
2015 J jnl
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data.
NeuroImage
Alessandro Daducci, Erick Jorge Canales-Rodríguez, Hui Zhang, Tim B. Dyrby, Daniel C. Alexander, Jean-Philippe Thiran
2015 B conf
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx).
ICIP
Anna Auría, David Romascano, E. Canales-Rodriguen, Yves Wiaux, T. B. Dirby, Daniel C. Alexander, Jean-Philippe Thiran, Alessandro Daducci
2015 — conf
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series.
IPMI
Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin
2015 — ed.
Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings
IPMI
Sébastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, Manuel Jorge Cardoso
2015 — conf
Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI.
IPMI
Andrada Ianus, Ivana Drobnjak, Daniel C. Alexander
2015 — conf
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.
MLMMI@ICML
Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin
2015 — conf
Multiple Orderings of Events in Disease Progression.
IPMI
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
2015 J jnl
Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo.
NeuroImage
Francesco Grussu, Torben Schneider, Hui Zhang, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott
2015 J jnl
White matter compartment models for in vivo diffusion MRI at 300 mT/m.
NeuroImage
Uran Ferizi, Torben Schneider, Thomas Witzel, Lawrence L. Wald, Hui Zhang, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander
2014 J jnl
Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models.
NeuroImage
Nicolas Kunz, Hui Zhang, Lana Vasung, Kieran O'Brien, Yaniv Assaf, François Lazeyras, Daniel C. Alexander, Petra S. Hüppi
2014 — conf
Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields.
MLMI
Joseph G. Jacobs, Eleftheria Panagiotaki, Daniel C. Alexander
2014 — conf
Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI.
MICCAI (3)
Daniel C. Alexander, Darko Zikic, Jiaying Zhang, Hui Zhang, Antonio Criminisi
2014 — ch.
Image Registration.
Computer Vision, A Reference Guide
Daniel C. Alexander
2014 — conf
In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI.
MICCAI (3)
Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang
2014 — conf
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model.
BAMBI
Neil P. Oxtoby, Alexandra L. Young, Nick C. Fox, Pankaj Daga, David M. Cash, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander
2014 — conf
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging.
MICCAI (3)
Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander
2014 — conf
Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion.
Digital Mammography / IWDM
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
2013 — conf
Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure.
IPMI
Matthew C. Rowe, Hui Gary Zhang, Neil Oxtoby, Daniel C. Alexander
2013 — conf
Can T 2 -Spectroscopy Resolve Submicrometer Axon Diameters?
IPMI
Enrico Kaden, Daniel C. Alexander
2013 — conf
Prediction of Second Neurological Attack in Patients with Clinically Isolated Syndrome Using Support Vector Machines.
PRNI
Viktor Wottschel, Olga Ciccarelli, Declan T. Chard, David H. Miller, Daniel C. Alexander
2013 — conf
Ranking diffusion-MRI models with in-vivo human brain data.
ISBI
Uran Ferizi, Torben Schneider, Eleftheria Panagiotaki, Gemma L. Nedjati-Gilani, Hui Gary Zhang, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander
2013 J jnl
The CONNECT project: Combining macro- and micro-structure.
NeuroImage
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
2013 — conf
The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data.
MICCAI (1)
Uran Ferizi, Torben Schneider, Maira Tariq, Claudia A. M. Wheeler-Kingshott, Hui Gary Zhang, Daniel C. Alexander
2013 — conf
Tract-oriented statistical group comparison of diffusion in sheet-like white matter.
ISBI
Mark Lyksborg, Tim Bjørn Dyrby, Per Soelberg Sørensen, Morten Blinkenberg, Hartwig Roman Siebner, Daniel C. Alexander, Rasmus Larsen, Hui Zhang
2012 J jnl
An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.
NeuroImage
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
2012 J jnl
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison.
NeuroImage
Eleftheria Panagiotaki, Torben Schneider, Bernard Siow, Matt G. Hall, Mark F. Lythgoe, Daniel C. Alexander
2012 J jnl
Interactive Lesion Segmentation with Shape Priors From Offline and Online Learning.
IEEE Trans. Medical Imaging
Tony Shepherd, Simon J. D. Prince, Daniel C. Alexander
2012 J jnl
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain.
NeuroImage
Hui Zhang, Torben Schneider, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander
2012 — conf
Probabilistic Event Cascades for Alzheimer's disease.
NIPS
Jonathan Huang, Daniel C. Alexander
2012 J jnl
Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging.
NeuroImage
Michiel Kleinnijenhuis, Markus Barth, Daniel C. Alexander, Anne-Marie van Cappellen van Walsum, David G. Norris
2011 — conf
A Bayesian framework for modelling the regional variation of white matter microstructure.
MIUA
Gemma Louise Morgan, Hui Zhang, Brandon J. Whitcher, Daniel C. Alexander
2011 — conf
An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease.
IPMI
Hubert M. J. Fonteijn, Matthew J. Clarkson, Marc Modat, Josephine Barnes, Manja Lehmann, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander
2011 — conf
Axon Diameter Mapping in Crossing Fibers with Diffusion MRI.
MICCAI (2)
Hui Zhang, Tim B. Dyrby, Daniel C. Alexander
2011 J jnl
Axon diameter mapping in the presence of orientation dispersion with diffusion MRI.
NeuroImage
Hui Zhang, Penny L. Hubbard, Geoffrey J. M. Parker, Daniel C. Alexander
2011 — conf
Exploiting hierarchy in structural brain networks.
ISBI
Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander
2011 — conf
Hierarchy in structural brain networks.
MIUA
Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander
2011 — conf
Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM.
MLINI
Philip P. Kwok, Olga Ciccarelli, Declan T. Chard, David H. Miller, Daniel C. Alexander
2010 — conf
A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation.
MICCAI (1)
Matthew J. Clarkson, Ian B. Malone, Marc Modat, Kelvin K. Leung, Natalie S. Ryan, Daniel C. Alexander, Nick C. Fox, Sébastien Ourselin
2010 — conf
Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI.
MICCAI (1)
Hui Zhang, Daniel C. Alexander
2010 — conf
High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations.
MICCAI (2)
Eleftheria Panagiotaki, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe, Daniel C. Alexander
2010 — conf
In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation.
MICCAI (1)
Torben Schneider, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander
2010 — conf
MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation.
MICCAI (1)
Anthony J. Sherbondy, Matthew C. Rowe, Daniel C. Alexander
2010 — conf
Optimization of the DCE-CT protocol using active imaging.
ISBI
Raphael Prevost, David L. Buckley, Daniel C. Alexander
2010 J jnl
Orientationally invariant indices of axon diameter and density from diffusion MRI.
NeuroImage
Daniel C. Alexander, Penny L. Hubbard, Matt G. Hall, Elizabeth A. Moore, Maurice Ptito, Geoffrey J. M. Parker, Tim B. Dyrby
2009 — conf
Active Imaging with Dual Spin-Echo Diffusion MRI.
IPMI
Jonathan D. Clayden, Zoltán Nagy, Matt G. Hall, Chris A. Clark, Daniel C. Alexander
2009 A ed.
British Machine Vision Conference, BMVC 2009, London, UK, September 7-10, 2009. Proceedings
BMVC
Andrea Cavallaro, Simon Prince, Daniel C. Alexander
2009 J jnl
Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI.
IEEE Trans. Medical Imaging
Matt G. Hall, Daniel C. Alexander
2009 — conf
Two-Compartment Models of the Diffusion MR Signal in Brain White Matter.
MICCAI (1)
Eleftheria Panagiotaki, Hubert M. J. Fonteijn, Bernard Siow, Matt G. Hall, Anthony Price, Mark F. Lythgoe, Daniel C. Alexander
2009 J jnl
Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q -Ball Analysis.
IEEE Trans. Medical Imaging
Hamied A. Haroon, David M. Morris, Karl V. Embleton, Daniel C. Alexander, Geoffrey J. M. Parker
2008 — conf
Model-based registration to correct for motion between acquisitions in diffusion MR imaging.
ISBI
Yu Bai, Daniel C. Alexander
2008 — conf
Regularized super-resolution for diffusion MRI.
ISBI
Shahrum Nedjati-Gilani, Daniel C. Alexander, Geoffrey J. M. Parker
2008 B conf
Supervised methods for perfect segmentation in medical images.
ICIP
Tony Shepherd, Daniel C. Alexander
2008 J jnl
Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy.
NeuroImage
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
2007 J jnl
Abnormalities of language networks in temporal lobe epilepsy.
NeuroImage
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
2007 A* conf
Axon radius measurements in vivo from diffusion MRI: a feasibility study.
ICCV
Daniel C. Alexander
2007 A conf
Colour Transfer by Feature Based Histogram Registration.
BMVC
Christopher Rohan Senanayake, Daniel C. Alexander
2007 A* conf
Exploiting peak anisotropy for tracking through complex structures.
ICCV
Kiran K. Seunarine, Philip A. Cook, Matt G. Hall, Karl V. Embleton, Geoffrey J. M. Parker, Daniel C. Alexander
2007 J jnl
Guest Editorial Special Issue on Computational Diffusion MRI.
IEEE Trans. Medical Imaging
Daniel C. Alexander, T. Jiang, Carl-Fredrik Westin
2007 J jnl
Validation of in vitro probabilistic tractography.
NeuroImage
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
2006 — ch.
An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond.
Visualization and Processing of Tensor Fields
Daniel C. Alexander
2006 J jnl
Deformable registration of diffusion tensor MR images with explicit orientation optimization.
Medical Image Anal.
Hui Zhang, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee
2006 — ch.
Diffusion-Tensor Image Registration.
Visualization and Processing of Tensor Fields
James C. Gee, Daniel C. Alexander
2006 J jnl
Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study.
NeuroImage
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
2005 A conf
An Automated Approach to Connectivity-Based Partitioning of Brain Structures.
MICCAI
Philip A. Cook, Hui Zhang, Brian B. Avants, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee, Olga Ciccarelli, Alan J. Thompson
2005 J jnl
Lateralization of ventral and dorsal auditory-language pathways in the human brain.
NeuroImage
Geoffrey J. M. Parker, Simona Luzzi, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Olga Ciccarelli, Matthew A. Lambon Ralph
2005 — conf
Maximum Entropy Spherical Deconvolution for Diffusion MRI.
IPMI
Daniel C. Alexander
2005 J jnl
Optimal imaging parameters for fiber-orientation estimation in diffusion MRI.
NeuroImage
Daniel C. Alexander, Gareth J. Barker
2004 J jnl
Diffusion tensor magnetic resonance image regularization.
Medical Image Anal.
Olivier Coulon, Daniel C. Alexander, Simon R. Arridge
2004 — conf
Modelling Noise-Induced Fibre-Orientation Error in Diffusion-Tensor MRI.
ISBI
Philip A. Cook, Daniel C. Alexander, Geoffrey J. M. Parker
2003 B conf
A method for non-rigid registration of diffusion tensor magnetic resonance images.
Image Processing
Jeffrey T. Duda, Mariano Rivera, Daniel C. Alexander, James C. Gee
2003 B conf
Diffusion Tensor Orientation Matching for Image Registration.
Image Processing
Kathleen M. Curran, Daniel C. Alexander
2003 — conf
Persistent Angular Structure: New Insights from Diffusion MRI Data. Dummy Version.
IPMI
Kalvis M. Jansons, Daniel C. Alexander
2003 — conf
Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information.
IPMI
Geoffrey J. M. Parker, Daniel C. Alexander
2003 — conf
Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies.
TPCG
Anthony Steed, Daniel C. Alexander, Philip A. Cook, Chris Parker
2002 — conf
Non-rigid registration of diffusion tensor MR images.
ISBI
James C. Gee, Daniel C. Alexander, Mariano Rivera, Jeffrey T. Duda
2002 J jnl
Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets.
NeuroImage
Derek K. Jones, Lewis D. Griffin, Daniel C. Alexander, Marco Catani, Mark A. Horsfield, Robert J. Howard, Steven C. R. Williams
2001 — conf
A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images.
IPMI
Olivier Coulon, Daniel C. Alexander, Simon R. Arridge
2001 J jnl
Spatial Transformations of Diffusion Tensor Magnetic Resonance Images.
IEEE Trans. Medical Imaging
Daniel C. Alexander, Carlo Pierpaoli, Peter J. Basser, James C. Gee
2001 J jnl
Statistical Modeling of Colour Data.
Int. J. Comput. Vis.
Daniel C. Alexander, Bernard F. Buxton
2000 J jnl
Elastic Matching of Diffusion Tensor Images.
Comput. Vis. Image Underst.
Daniel C. Alexander, James C. Gee
2000 B conf
Techniques for spatial normalization of diffusion tensor images.
Image Processing
Daniel C. Alexander, Carlo Pierpaoli, Peter J. Basser, James C. Gee
1999 A* conf
Advances in Daylight Statistical Colour Modelling.
CVPR
Daniel C. Alexander
1999 A* conf
Elastic Matching of Diffusion Tensor MRIs.
CVPR
Daniel C. Alexander, James C. Gee, Ruzena Bajcsy
1999 A conf
Similarity Measures for Matching Diffusion Tensor Images.
BMVC
Daniel C. Alexander, James C. Gee, Ruzena Bajcsy
1999 A conf
Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images.
MICCAI
Daniel C. Alexander, James C. Gee, Ruzena Bajcsy
1997 A conf
Implementational Improvements for Active Region Models.
BMVC
Daniel C. Alexander, Bernard F. Buxton
1997 A* conf
Modelling of single mode distributions of colour data using directional statistics.
CVPR
Daniel C. Alexander, Bernard F. Buxton
1996 — conf
An evaluation of physically based statistical colour models for image region characterisation.
ICIP (3)
Daniel C. Alexander, Bernard F. Buxton