24 papers
Teeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework
Qi Ma, Shipra Jain, Niko Benjamin Huber +1
Modern deep learning architectures have demonstrated strong performance in dental CBCT segmentation. One remaining crucial challenge is accurate tooth labeling in cases with missin…
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…
Object-centric LeJEPA
Jakob Geusen, Ender Konukoglu
Image encoders trained with LeJEPA can deliver strong features for downstream tasks, but, like other image-level self-supervised methods, typically require large training datasets.…
MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation
Xinyu Liu, Guolei Sun, Cheng Wang +2
High-resolution (HR) medical videos are vital for accurate diagnosis, yet are hard to acquire due to hardware limitations and physiological constraints. Clinically, the collected l…
A Single-Parameter Factor-Graph Image Prior
Tianyang Wang, Ender Konukoglu, Hans-Andrea Loeliger
We propose a novel piecewise smooth image model with piecewise constant local parameters that are automatically adapted to each image. Technically, the model is formulated in terms…