Daniel C. Alexander
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
71
Venues
10
Active years
1996–2026
Best venue rank
A*
Where they publish
Papers
71 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling. | Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander |
| 2026 | AAAI | CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis. | Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Rav, Daniel C. Alexander |
| 2025 | ICLR | Balancing Act: Diversity and Consistency in Large Language Model Ensembles. | Ahmed Abdulaal, Chen Jin, Nina Montaa Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran |
| 2025 | MICCAI | Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS. | Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander |
| 2025 | MICCAI | Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications. | Yucheng Tang, Yunguan Fu, Weixi Yi, Yipei Wang, Daniel C. Alexander, Rhodri H. Davies, Yipeng Hu |
| 2025 | MICCAI | Impact of Clinical Image Quality on Efficient Foundation Model Finetuning. | 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 |
| 2024 | ECCV | Tackling Structural Hallucination in Image Translation with Local Diffusion. | Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander |
| 2024 | ECCV | Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. | Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias |
| 2024 | ECCV | DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model. | 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 | ICLR | Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. | Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaa Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander |
| 2024 | ICLR | Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection. | Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander |
| 2024 | MICCAI | Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI. | 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 | MICCAI | Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. | Lemuel Puglisi, Daniel C. Alexander, Daniele Rav |
| 2023 | MICCAI | A Coupled-Mechanisms Modelling Framework for Neurodegeneration. | Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander |
| 2023 | MICCAI | Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI. | 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 |
| 2022 | ICLR | Learning to Downsample for Segmentation of Ultra-High Resolution Images. | Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander |
| 2022 | MICCAI | Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset. | Panagiotis Barmpoutis, Jing Yuan, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C. Alexander, Marnix Jansen |
| 2022 | MICCAI | Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. | Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander |
| 2022 | MICCAI | Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. | Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator |
| 2022 | MICCAI | Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. | Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob |
| 2022 | MICCAI | Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. | 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 |
| 2021 | BMVC | AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation. | Seunghoi Kim, Daniel C. Alexander |
| 2021 | DICTA | Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis. | Panagiotis Barmpoutis, Hamzeh Kayhanian, William Waddingham, Daniel C. Alexander, Marnix Jansen |
| 2021 | MICCAI | Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. | Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander |
| 2021 | MICCAI | Learning to Address Intra-segment Misclassification in Retinal Imaging. | Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander |
| 2020 | BMVC | Learning To Pay Attention To Mistakes. | Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob |
| 2020 | MICCAI | Foveation for Segmentation of Mega-Pixel Histology Images. | Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander |
| 2020 | MICCAI | Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. | 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 | MICCAI | Learning to Segment When Experts Disagree. | Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander |
| 2019 | CVPR | Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. | Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman |
| 2019 | ICCV | Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. | Felix J. S. Bragman, Ryutaro Tanno, Sbastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso |
| 2019 | ICML | Adaptive Neural Trees. | Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori |
| 2019 | MICCAI | Multi-stage Prediction Networks for Data Harmonization. | Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander |
| 2019 | MICCAI | Learning Task-Specific and Shared Representations in Medical Imaging. | Felix J. S. Bragman, Ryutaro Tanno, Sbastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso |
| 2019 | MICCAI | Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. | 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 | MICCAI | BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. | Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland |
| 2019 | MICCAI | Disease Knowledge Transfer Across Neurodegenerative Diseases. | 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 | MICCAI | TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. | 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 | MICCAI | Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. | Daniele Rav, Daniel C. Alexander, Neil P. Oxtoby |
| 2018 | MICCAI | Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. | Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander |
| 2018 | MICCAI | Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. | Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sbastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso |
| 2017 | MICCAI | Detecting and Classifying Nuclei on a Budget. | Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki |
| 2017 | MICCAI | Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. | Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander |
| 2016 | MICCAI | Microstructure Imaging Sequence Simulation Toolbox. | Andrada Ianus, Daniel C. Alexander, Ivana Drobnjak |
| 2016 | MICCAI | Bayesian Image Quality Transfer. | Ryutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander |
| 2015 | ICIP | Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx). | Anna Aura, David Romascano, E. Canales-Rodriguen, Yves Wiaux, T. B. Dirby, Daniel C. Alexander, Jean-Philippe Thiran, Alessandro Daducci |
| 2015 | ICML | Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. | Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sbastien Ourselin |
| 2014 | MICCAI | Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI. | Daniel C. Alexander, Darko Zikic, Jiaying Zhang, Hui Zhang, Antonio Criminisi |
| 2014 | MICCAI | Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields. | Joseph G. Jacobs, Eleftheria Panagiotaki, Daniel C. Alexander |
| 2014 | MICCAI | Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging. | Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander |
| 2014 | MICCAI | In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI. | Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang |
| 2013 | MICCAI | The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data. | Uran Ferizi, Torben Schneider, Maira Tariq, Claudia A. M. Wheeler-Kingshott, Hui Gary Zhang, Daniel C. Alexander |
| 2011 | MICCAI | Axon Diameter Mapping in Crossing Fibers with Diffusion MRI. | Hui Zhang, Tim B. Dyrby, Daniel C. Alexander |
| 2010 | MICCAI | A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation. | Matthew J. Clarkson, Ian B. Malone, Marc Modat, Kelvin K. Leung, Natalie S. Ryan, Daniel C. Alexander, Nick C. Fox, Sbastien Ourselin |
| 2010 | MICCAI | High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations. | Eleftheria Panagiotaki, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe, Daniel C. Alexander |
| 2010 | MICCAI | In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation. | Torben Schneider, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander |
| 2010 | MICCAI | MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation. | Anthony J. Sherbondy, Matthew C. Rowe, Daniel C. Alexander |
| 2010 | MICCAI | Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI. | Hui Zhang, Daniel C. Alexander |
| 2009 | MICCAI | Two-Compartment Models of the Diffusion MR Signal in Brain White Matter. | Eleftheria Panagiotaki, Hubert M. J. Fonteijn, Bernard Siow, Matt G. Hall, Anthony Price, Mark F. Lythgoe, Daniel C. Alexander |
| 2008 | ICIP | Supervised methods for perfect segmentation in medical images. | Tony Shepherd, Daniel C. Alexander |
| 2007 | BMVC | Colour Transfer by Feature Based Histogram Registration. | Christopher Rohan Senanayake, Daniel C. Alexander |
| 2007 | ICCV | Axon radius measurements in vivo from diffusion MRI: a feasibility study. | Daniel C. Alexander |
| 2007 | ICCV | Exploiting peak anisotropy for tracking through complex structures. | Kiran K. Seunarine, Philip A. Cook, Matt G. Hall, Karl V. Embleton, Geoffrey J. M. Parker, Daniel C. Alexander |
| 2005 | MICCAI | An Automated Approach to Connectivity-Based Partitioning of Brain Structures. | Philip A. Cook, Hui Zhang, Brian B. Avants, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee, Olga Ciccarelli, Alan J. Thompson |
| 1999 | BMVC | Similarity Measures for Matching Diffusion Tensor Images. | Daniel C. Alexander, James C. Gee, Ruzena Bajcsy |
| 1999 | CVPR | Advances in Daylight Statistical Colour Modelling. | Daniel C. Alexander |
| 1999 | CVPR | Elastic Matching of Diffusion Tensor MRIs. | Daniel C. Alexander, James C. Gee, Ruzena Bajcsy |
| 1999 | MICCAI | Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images. | Daniel C. Alexander, James C. Gee, Ruzena Bajcsy |
| 1997 | BMVC | Implementational Improvements for Active Region Models. | Daniel C. Alexander, Bernard F. Buxton |
| 1997 | CVPR | Modelling of single mode distributions of colour data using directional statistics. | Daniel C. Alexander, Bernard F. Buxton |
| 1996 | ICIP | An evaluation of physically based statistical colour models for image region characterisation. | Daniel C. Alexander, Bernard F. Buxton |