activity
20222026
most citedGeometric Active Learning for Segmentation of Large 3D Volumes

3 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

QCxSimulation: Scatter-Aware X-Ray Projection Radiography via Discrete-Time Quantum Walks

Anja Heim, Theobald Fuchs, Thomas Lang +4

X-ray projection radiography is a non-invasive imaging technique used in medical diagnostics and industrial inspection. The simulation of X-ray projections is commonly used to opti…

cs.HC2025

Exploring Large Quantities of Secondary Data from High-Resolution Synchrotron X-ray Computed Tomography Scans Using AccuStripes

Anja Heim, Thomas Lang, Christoph Heinzl

The analysis of secondary quantitative data extracted from high-resolution synchrotron X-ray computed tomography scans represents a significant challenge for users. While a number…

cs.HC2025

Quantum Image Visualizer: Visual Debugging of Quantum Image Processing Circuits

Anja Heim, Thomas Lang, Alexander Gall +2

Quantum computing is an emerging field that utilizes the unique principles of quantum mechanics to offer significant advantages in algorithm execution over classical approaches. Th…

quant-ph2024

Representation of Classical Data on Quantum Computers

Thomas Lang, Anja Heim, Kilian Dremel +6

Quantum computing is currently gaining significant attention, not only from the academic community but also from industry, due to its potential applications across several fields f…

cs.CV2023

Clustering large 3D volumes: A sampling-based approach

Thomas Lang

In many applications of X-ray computed tomography, an unsupervised segmentation of the reconstructed 3D volumes forms an important step in the image processing chain for further in…

cs.CV2022

Feature-Adaptive Interactive Thresholding of Large 3D Volumes

Thomas Lang, Tomas Sauer

Thresholding is the most widely used segmentation method in volumetric image processing, and its pointwise nature makes it attractive for the fast handling of large three-dimension…

cs.CV2022★ 3 cited

Geometric Active Learning for Segmentation of Large 3D Volumes

Thomas Lang, Tomas Sauer

Segmentation, i.e., the partitioning of volumetric data into components, is a crucial task in many image processing applications ever since such data could be generated. Most exist…