241 citations · 1.5k across the 82 of their papers we have counts for
95 papers
Parameter-Efficient Multimodal Brain Tumor Segmentation With Stage-Wise Shared Adapters
Milad Rostamian, Mohammadreza Mohammadi, Ender Konukoglu +1
Different MRI modalities reveal different parts of a brain tumor. Segmentation models combine information from these modalities to outline tumor regions. Many models use a separate…
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…
Mask-supervised Object-centric Representation Learning with LeJEPA
Jakob Geusen, Ender Konukoglu
Self-supervised image encoders deliver strong features for downstream tasks but need many images for training. A natural remedy to counter this is to make each image count for more…
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…