output
20122026
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations

115 papers

cs.LG2026

Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering

Mina Farajiamiri, Jeta Sopa, Saba Afza +9

Agentic retrieval-augmented reasoning pipelines are increasingly used to structure how large language models (LLMs) incorporate external evidence in clinical decision support. Thes…

cs.CV2026

Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework

Johannes Thalhammer, Tina Dorosti, Sebastian Peterhansl +3

Undersampled CT volumes minimize acquisition time and radiation exposure but introduce artifacts degrading image quality and diagnostic utility. Reducing these artifacts is critica…

cs.CV2025

Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic Entropy

Patrick Wienholt, Sophie Caselitz, Robert Siepmann +6

To determine whether using discrete semantic entropy (DSE) to reject questions likely to generate hallucinations can improve the accuracy of black-box vision-language models (VLMs)…

cs.CV2025★ 1 cited

Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures

Hartmut Häntze, Myrthe Buser, Alessa Hering +2

Overlap-based metrics such as the Dice Similarity Coefficient (DSC) penalize segmentation errors more heavily in smaller structures. As organ size differs by sex, this implies that…

eess.IV2025

Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges

Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51

Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…

cs.SD2025

BioSonix: Can Physics-Based Sonification Perceptualize Tissue Deformations From Tool Interactions?

Veronica Ruozzi, Sasan Matinfar, Laura Schütz +4

Perceptualizing tool interactions with deformable structures in surgical procedures remains challenging, as unimodal visualization techniques often fail to capture the complexity o…