activity
20242026
collaborators
Showing 2025Show all

6 papers · 1 filter

eess.IV2025

VIBESegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank

Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel +17

Objectives: To present a publicly available deep learning-based torso segmentation model that provides comprehensive voxel-wise coverage, including delineations that extend to the…

eess.IV2025

Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine

Robert Graf, Tanja Lerchl, Kati Nispel +7

Digital twins offer a powerful framework for subject-specific simulation and clinical decision support, yet their development often hinges on accurate, individualized anatomical mo…

eess.IV2025

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography

Murong Xu, Tamaz Amiranashvili, Fernando Navarro +30

Accurate delineation of anatomical structures in volumetric CT scans is crucial for diagnosis and treatment planning. While AI has advanced automated segmentation, current approach…

cs.CV2025

Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort

Hendrik Möller, Hanna Schön, Alina Dima +10

Thoracolumbar stump ribs are one of the essential indicators of thoracolumbar transitional vertebrae or enumeration anomalies. While some studies manually assess these anomalies an…

cs.CV2025

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Robert Graf, Hendrik Möller, Sophie Starck +15

Volume Interpolated Breath-Hold Examination (VIBE) MRI generates images suitable for water and fat signal composition estimation. While the two-point VIBE provides water-fat-separa…

cs.CV2025

PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI

Hendrik Möller, Lukas Krautschick, Matan Atad +9

Chronic rhinosinusitis (CRS) is a common and persistent sinus imflammation that affects 5 - 12\% of the general population. It significantly impacts quality of life and is often di…