Machine-learning classification of pain intensity from biopsychosocial factors across multiple chronic pain conditions. Scientific Reports, 2026.
Guided denoising diffusion models to predict anatomical brain-tumor growth in pediatric diffuse midline glioma. BMC Medicine, 2026.
Community guidelines for open and reproducible research in musculoskeletal imaging, co-authored as a member of the ORMIR community. JBMR Plus, 2026.
Conformal prediction to calibrate and quantify the uncertainty of SpineNet central-canal-stenosis grading on lumbar MRI, giving statistically valid prediction sets. Scientific …
Monte-Carlo dropout and test-time augmentation to quantify uncertainty in a central-canal stenosis grading classifier. JOR Spine, 2026.
An open community standard (MIDS) for curating and sharing musculoskeletal imaging data, developed within ORMIR. JBMR Plus, 2026.
Machine-learning prediction of lumbar steroid injection satisfaction from multimodal clinical data (0.865 AP). Scientific Reports (Nature), 2025.
A multistage deep-learning pipeline (YOLO detection + damage regression) to estimate flea-beetle crop damage in the field. Artificial Intelligence in Agriculture, 2024 (BASF).
Automated AI-based extraction of mitral and tricuspid valve motion parameters from long-axis cine cardiac MRI. European Journal of Radiology, 2023.