Publications

(2026). You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution. arXiv preprint.

Preprint PDF Publication

(2026). Holographic generative flows with AdS/CFT. Machine Learning: Science and Technology.

Preprint PDF Publication

(2026). Logarithmic derivatives of variational and singular stochastic partial differential equations. arXiv preprint.

Preprint PDF Publication

(2026). K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs. MICCAI 2026 Off-Grid Workshop.

Preprint PDF Publication

(2026). Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics. arXiv preprint.

Preprint PDF Publication

(2026). Score-Based Diffusion Models in Infinite Dimensions: A Malliavin Calculus Perspective. Journal of Machine Learning for Modeling and Computing, 7(2).

Preprint PDF Publication

(2026). Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI. MICCAI 2026.

Preprint PDF Publication

(2026). RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans. SPIE Medical Imaging 2026: Image Processing.

Preprint PDF Publication

(2025). Active Learning for Machine Learning Driven Molecular Dynamics. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.

Preprint PDF Publication

(2025). 3D Brain MRI Generation with a Clinically-Conditioned VAE-GAN and Diffusion-Driven Feature Sampling. NeurIPS 2025 GenAI for Health Workshop.

PDF Publication

(2025). A Standardized Benchmark for Machine-Learned Molecular Dynamics using Weighted Ensemble Sampling. The Journal of Physical Chemistry B, 129(50), 12828–12840.

Preprint PDF DOI Publication

(2025). Latent Spaces for Langevin Dynamics. NeurIPS 2025 Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling.

Preprint PDF Publication Venue

(2025). TICA-Based Free Energy Matching for Machine-Learned Molecular Dynamics. ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences.

Preprint PDF Publication

(2025). ReMiDi: Reconstruction of Microstructure Using a Differentiable diffusion MRI Simulator.

Preprint Poster

(2025). A Malliavin calculus approach to score functions in diffusion generative models. arXiv preprint.

Preprint PDF Publication

(2025). A multi-modal graph-based framework for Alzheimer’s disease detection. Scientific Reports, 15, 22684.

PDF DOI Publication

(2025). Malliavin Calculus for Diffusion Models.

Preprint

(2024). Generative Music Medicine. ISMIR.

Project

(2024). Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator. ICML Differentiate Anything Workshop.

PDF Code

(2023). InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. MICCAI MBIA.

Preprint Code

(2021). Bayesian Image Reconstruction using Deep Generative Models. NeurIPS Workshop on Deep Generative Models and Downstream Applications.

PDF Code Slides Video

(2020). TADPOLE Challenge: Results after 1 Year Follow-up. arXiv.

Preprint PDF Code Project Video

(2019). Disease Knowledge Transfer across Neurodegenerative Diseases. arXiv.

Preprint PDF Code Project

(2019). BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. MICCAI MBIA.

Preprint Code Website

(2019). PhD thesis: Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy. PhD thesis: Modelling the Neuroanatomical Progression of Alzheimer’s Disease and Posterior Cortical Atrophy.

PDF Slides

(2019). Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy. Brain.

(2019). DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage.

Preprint PDF Code Project

(2018). Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference. Nature Comm..

Preprint PDF Project

(2018). Progression of regional grey matter atrophy in multiple sclerosis. Brain.

PDF Project

(2018). An image‐based model of brain volume biomarker changes in Huntington's disease. Annals of neurology.

(2017). A vertex clustering model for disease progression: application to cortical thickness images. IPMI.

PDF Code Project

(2015). Multiple orderings of events in disease progression. IPMI.

PDF