Daniel C. Alexander

1. Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
   2019/02/10 by Ryutaro Tanno, Ardavan Saeedi, Tanno, Ryutaro +7 · 14 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
2. Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations:\n Application in Ageing and Dementia
   2019/12/03 by Daniele Ravì, Ravi, Daniele, Stefano B. Blumberg +9 · 10 citations
   Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
3. Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
   2024/05/06 by Lemuel Puglisi, Daniel C. Alexander, Puglisi, Lemuel +3 · 14 citations
   Economics, Econometrics and Finance · Decision Sciences · Social Sciences · #Spatial and Panel Data Analysis #demographic modeling and climate adaptation #Delphi Technique in Research
4. Imaging brain microstructure with diffusion MRI: practicality and applications
   2017/11/29 by Daniel C. Alexander, Tim B. Dyrby, Markus Nilsson +1 · 5 citations
5. Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes\n from clinical MRI exams with scans of different orientation, resolution and\n contrast
   2020/12/24 by Juan Eugenio Iglesias, Benjamin Billot, Iglesias, Juan Eugenio +15 · 5 citations
   Computer Science · Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #electronic engineering #information engineering
6. Quantitative mapping of the per‐axon diffusion coefficients in brain white matter
   2015/05/13 by Enrico Kaden, Frithjof Kruggel, Daniel C. Alexander · 3 citations
7. Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
   2021/05/25 by Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre +7 · 4 citations
   Medicine · Computer Science · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #Medical Image Segmentation Techniques
8. An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation
   2024/10/04 by Ahmed Abdulaal, Abdulaal, Ahmed, Fry, Hugo +11 · 7 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Radiomics and Machine Learning in Medical Imaging #Topic Modeling
9. Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
   2020/07/31 by Le Zhang, Zhang, Le, Ryutaro Tanno +12 · 3 citations
   Computer Science · #AI in cancer detection #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI
    2023/11/11 by Seunghoi Kim, Kim, Seunghoi, Henry F. J. Tregidgo +7 · 5 citations
    Medicine · #MRI in cancer diagnosis #Advanced MRI Techniques and Applications #Medical Imaging Techniques and Applications
11. Conventions and nomenclature for double diffusion encoding NMR and MRI
    2015/09/29 by Noam Shemesh, Sune N. Jespersen, Daniel C. Alexander +14 · 1 citation
12. Deep gray matter volume loss drives disability worsening in multiple sclerosis
    2018/01/13 by Arman Eshaghi, Ferrán Prados, Ferran Prados +35 · 1 citation
    Medicine · #Long-Term Effects of COVID-19 #Multiple Sclerosis Research Studies #Peripheral Neuropathies and Disorders
13. A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal
    2018/06/19 by Marco Palombo, Palombo, Marco, Daniel C. Alexander +3 · 1 citation
    Medicine · Neuroscience · Biochemistry, Genetics and Molecular Biology · #Advanced Neuroimaging Techniques and Applications #Functional Brain Connectivity Studies #Cell Image Analysis Techniques
14. Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
    2024/10/18 by P. A. Wijeratne, Peter A. Wijeratne, Wijeratne, Peter A. +2 · 2 voices · 2 citations
    Biochemistry, Genetics and Molecular Biology · #cs.LG
15. DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
    2023/02/25 by Lemuel Puglisi, Puglisi, Lemuel, Frederik Barkhof +9 · 2 citations
    Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Fetal and Pediatric Neurological Disorders #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
16. Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
    2019/07/31 by Ryutaro Tanno, Tanno, Ryutaro, Daniel E. Worrall +15 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
17. Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
    2023/11/28 by Peirong Liu, Liu, Peirong, Oula Puonti +7 · 3 citations
    Neuroscience · Computer Science · #Brain Tumor Detection and Classification #EEG and Brain-Computer Interfaces #Neural Networks and Applications
18. ApoE influences regional white-matter axonal density loss in Alzheimer's disease
    2017/05/03 by Catherine F. Slattery, Jiaying Zhang, Ross W. Paterson +19 · 1 citation
    Medicine · #Advanced Neuroimaging Techniques and Applications #Alzheimer's disease research and treatments #Dementia and Cognitive Impairment Research
19. Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS
    2025/03/03 by Seunghoi Kim, Henry F. J. Tregidgo, Kim, Seunghoi +9 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #CCD and CMOS Imaging Sensors #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
20. Real-Time, Inline Quantitative MRI Enabled by Scanner-Integrated Machine Learning: A Proof of Principle With NODDI.
    2025/07/16 by Samuel Rot, Rot, Samuel, Iulius Dragonu +29 · 1 citation
    Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #MRI in cancer diagnosis #Functional Brain Connectivity Studies
21. BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis
    2026/07/20 by Moona Mazher, Abdul Qayyum, Steven A. Niederer +1 · 1 voice
    #cs.CV #cs.AI
22. Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading
    2026/07/16 by Yipei Wang, Shiqi Huang, Wen Yan +6
    #cs.CV