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Skeleton Recall Loss for Connectivity Conserving and Resource Efficient
  Segmentation of Thin Tubular Structures

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures

3 April 2024
Yannick Kirchhoff
Maximilian R. Rokuss
Saikat Roy
Balint Kovacs
Constantin Ulrich
Tassilo Wald
M. Zenk
Philipp Vollmuth
Jens Kleesiek
Fabian Isensee
Klaus Maier-Hein
    3DPC
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Papers citing "Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures"

4 / 4 papers shown
Title
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Muhammad Imran
J. Krebs
Vishal Balaji Sivaraman
Teng Zhang
Amarjeet Kumar
...
Gilbert R. Upchurch Jr.
Jun Ma
Yuyin Zhou
M. Cooper
Wei Shao
45
0
0
07 Feb 2025
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
Laurin Lux
Alexander H. Berger
Alexander Weers
Nico Stucki
Daniel Rueckert
Ulrich Bauer
Johannes C. Paetzold
34
2
0
05 Nov 2024
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
1