activity
20222026
most citedSPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation

28 citations · 56 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT

Matan Atad, Alexander W. Marka, Lisa Steinhelfer +10

Accurate segmentation of vertebral metastasis in CT is clinically important yet difficult to scale, as voxel-level annotations are scarce and both lytic and blastic lesions often r…

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…

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…