output
20142026
most citedThe Medical Segmentation Decathlon

1.3k citations

Showing 2024Show all

24 papers · 1 filter

physics.med-ph2024★ 1 cited

First experimental test of a coded-mask gamma camera for proton therapy monitoring

Magdalena Kołodziej, Stephan Brons, Mikołaj Dubiel +15

Objective. The objective of the presented study was to evaluate the feasibility of a coded-mask (CM) gamma camera for real-time range verification in proton therapy, addressing the…

eess.IV2024★ 8 cited

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression

Maximilian Fischer, Peter Neher, Peter Schüffler +13

Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes…

cs.CV2024★ 3 cited

Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy

Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss +5

Detection and differentiation of circulating tumor cells (CTCs) and non-CTCs in blood draws of cancer patients pose multiple challenges. While the gold standard relies on tedious m…

eess.IV2024★ 20 cited

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

Gustav Müller-Franzes, Firas Khader, Robert Siepmann +4

MRI and CT are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. Wh…

cs.CV2024★ 17 cited

Comparison of marker-less 2D image-based methods for infant pose estimation

Lennart Jahn, Sarah Flügge, Dajie Zhang +5

In this study we compare the performance of available generic- and infant-pose estimators for a video-based automated general movement assessment (GMA), and the choice of viewing a…

cs.CV2024★ 6 cited

SynBench: A Synthetic Benchmark for Non-rigid 3D Point Cloud Registration

Sara Monji-Azad, Marvin Kinz, Claudia Scherl +3

Non-rigid point cloud registration is a crucial task in computer vision. Evaluating a non-rigid point cloud registration method requires a dataset with challenges such as large def…