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. 2404.09683
  4. Cited By
Post-Training Network Compression for 3D Medical Image Segmentation:
  Reducing Computational Efforts via Tucker Decomposition

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition

15 April 2024
Tobias Weber
Jakob Dexl
David Rügamer
Michael Ingrisch
    MedIm
ArXivPDFHTML

Papers citing "Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition"

3 / 3 papers shown
Title
Towards Quantum Tensor Decomposition in Biomedical Applications
Towards Quantum Tensor Decomposition in Biomedical Applications
Myson Burch
Jiasen Zhang
Gideon Idumah
Hakan Doga
R. Lartey
...
Weihong Guo
Ying Ni
Laxmi Parida
Xiaojuan Li
Aritra Bose
74
2
0
18 Feb 2025
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location
  on MRI
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Han Gu
R. Colglazier
Haoyu Dong
Jikai Zhang
Yaqian Chen
...
Jisoo Lee
Brandon Ramirez
Darui Lu
Jay M. Levin
Maciej Mazurowski
32
4
0
23 Jan 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
229
74,467
0
18 May 2015
1