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Capturing Shape Information with Multi-Scale Topological Loss Terms for
  3D Reconstruction

Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

3 March 2022
Dominik Jens Elias Waibel
S. Atwell
Matthias Meier
Carsten Marr
Bastian Rieck
    3DPC
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Papers citing "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

5 / 5 papers shown
Title
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
67
0
0
24 Jan 2025
Self Pre-training with Topology- and Spatiality-aware Masked
  Autoencoders for 3D Medical Image Segmentation
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation
Pengfei Gu
Yejia Zhang
Huimin Li
Chaoli Wang
Danny Chen
MedIm
71
1
0
15 Jun 2024
Euler Characteristic Transform Based Topological Loss for Reconstructing
  3D Images from Single 2D Slices
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices
K. Nadimpalli
A. Chattopadhyay
Bastian Rieck
62
8
0
08 Mar 2023
Topologically faithful image segmentation via induced matching of
  persistence barcodes
Topologically faithful image segmentation via induced matching of persistence barcodes
Nicolas Stucki
Johannes C. Paetzold
Suprosanna Shit
Bjoern H. Menze
Ulrich Bauer
29
38
0
28 Nov 2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Dominik Jens Elias Waibel
Ernst Rooell
Bastian Rieck
Raja Giryes
Carsten Marr
DiffM
MedIm
35
40
0
30 Aug 2022
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