Alexander, Daniel C.

21 publications

MIDL 2026 Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study Using 3D Foundation Models Niccolò McConnell, Mehran Azimbagirad, Daryl O. Cheng, Daisuke Yamada, Ryoko Egashira, Robert Chapman, John McCabe, Shanshan Wang, David Lynch, Greg Kinney, Pardeep Vasudev, Paul Taylor, Daniel C. Alexander, Sam M. Janes, Joseph Jacob

MIDL 2026 What Fine-Tuning Changes: A Radiomic Lens on Prostate Foundation Model Representations Yipei Wang, Yaxi Chen, Wen Yan, Natasha Thorley, Alexander Ng, Dean C. Barratt, Daniel C. Alexander, Shonit Punwani, Mark Emberton, Veeru Kasivisvanathan, Yipeng Hu

MIDL 2025 4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis An Zhao, Moucheng Xu, Ahmed H. Shahin, Wim Wuyts, Mark G. Jones, Joseph Jacob, Daniel C. Alexander

MIDL 2025 Advancing Medical Image Segmentation with Self-Supervised Learning: A 3D Student-Teacher Approach for Cardiac and Neurological Imaging Moona Mazher, Daniel C. Alexander, Abdul Qayyum, Steven A Niederer

ICLR 2025 Balancing Act: Diversity and Consistency in Large Language Model Ensembles 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

ECCV 2024 Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan E. Iglesias

ICLR 2024 Causal Modelling Agents: Causal Graph Discovery Through Synergising Metadata- and Data-Driven Reasoning Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montana-Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander

ECCVW 2024 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

ICLR 2024 Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander

NeurIPS 2024 Unscrambling Disease Progression at Scale: Fast Inference of Event Permutations with Optimal Transport Peter A. Wijeratne, Daniel C. Alexander

NeurIPSW 2023 A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI Seunghoi Kim, Daniel C. Alexander, Ahmed Karam Eldaly, Matteo Figini, Henry F J Tregidgo

MIDL 2023 Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

NeurIPSW 2022 Deep Structural Causal Modelling of the Clinical and Radiological Phenotype of Alzheimer’s Disease Ahmed Abdulaal, Daniel C. Castro, Daniel C. Alexander

ICLR 2022 Learning to Downsample for Segmentation of Ultra-High Resolution Images Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander

CVPR 2019 Learning from Noisy Labels by Regularized Estimation of Annotator Confusion Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

ICCV 2019 Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels Felix J.S. Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, Jorge Cardoso

ICCV 2007 Axon Radius Measurements in Vivo from Diffusion MRI: A Feasibility Study Daniel C. Alexander

ICCV 2007 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

CVPR 1999 Advances in Daylight Statistical Colour Modelling Daniel C. Alexander

CVPR 1999 Elastic Matching of Diffusion Tensor MRIs Daniel C. Alexander, James C. Gee, Ruzena Bajcsy

CVPR 1997 Modelling of Single Mode Distributions of Colour Data Using Directional Statistics Daniel C. Alexander, Bernard F. Buxton