ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2408.08038
  4. Cited By
PI-Att: Topology Attention for Segmentation Networks through Adaptive
  Persistence Image Representation

PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation

15 August 2024
Mehmet Bahadir Erden
S. Unver
I. A. Gurses
R. Turkay
C. Gunduz-Demir
ArXivPDFHTML

Papers citing "PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation"

2 / 2 papers shown
Title
Persistent Homology with Improved Locality Information for more
  Effective Delineation
Persistent Homology with Improved Locality Information for more Effective Delineation
Doruk Öner
A. Garin
Mateusz Koziñski
K. Hess
Pascal Fua
40
7
0
12 Oct 2021
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
75,445
0
18 May 2015
1