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Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for
  Layer Segmentation

Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation

9 November 2023
Yuli Wu
Weidong He
Dennis Eschweiler
Ningxin Dou
Zixin Fan
Shengli Mi
Peter Walter
Johannes Stegmaier
    MedIm
    DiffM
ArXivPDFHTML

Papers citing "Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation"

4 / 4 papers shown
Title
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
Yuli Wu
Fucheng Liu
Rüveyda Yilmaz
Henning Konermann
Peter Walter
Johannes Stegmaier
EGVM
MedIm
48
1
0
24 Feb 2025
Annotated Biomedical Video Generation using Denoising Diffusion
  Probabilistic Models and Flow Fields
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
Rüveyda Yilmaz
Dennis Eschweiler
Johannes Stegmaier
VGen
MedIm
DiffM
28
5
0
26 Mar 2024
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu
Yuankai K. Tao
I. Oguz
DiffM
MedIm
158
43
0
27 Jan 2022
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
1