5 papers
Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation
Bruno Palau, Franziska Vogt, Daria Laslo +4
Radiology reporting is time-consuming and subject to inter-rater variability, making automated report generation an attractive clinical application for Vision-Language Models (VLMs…
Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation
Maria Monzon, Thomas Iff, Ender Konukoglu +1
This study introduces a diffusion-based framework for robust and accurate semantic segmentation of lumbar spine MRI scans from patients with low back pain (LBP), regardless of whet…
Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading
Monzon Maria, Zisserman Andrew, Jutzeler Catherine R. +1
Automated assessment of degenerative pathology in the lumbar spine on magnetic resonance imaging (MRI) requires access to large-scale datasets of expert-annotated radiological grad…
Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores
Maria Monzon, Andrew Zisserman, Robin Y. Park +2
Lumbar spine degeneration is a major contributor to chronic low back pain and is routinely assessed on MRI using ordinal grading systems, e.g. normal, mild, moderate, severe. Conse…
Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth
Daria Laslo, Efthymios Georgiou, Marius George Linguraru +4
Predicting the spatio-temporal progression of brain tumors is essential for guiding clinical decisions in neuro-oncology. We propose a hybrid mechanistic learning framework that co…