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Synthetic optical coherence tomography angiographs for detailed retinal
  vessel segmentation without human annotations
v1v2 (latest)

Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations

IEEE Transactions on Medical Imaging (TMI), 2023
19 June 2023
Linus Kreitner
Johannes C. Paetzold
Nikolaus Rauch
Chen Chen
Ahmed M. Hagag
Alaa E. Fayed
S. Sivaprasad
Sebastian Rausch
J. Weichsel
Bjoern Menze
M. Harders
B. Knier
Daniel Rueckert
Fernando Navarro
ArXiv (abs)PDFHTMLGithub (48★)

Papers citing "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations"

10 / 10 papers shown
MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
Jiawen Liu
Yuanbo Zeng
Jiaming Liang
Yizhen Yang
Yiheng Zhang
Enhui Cai
Xiaoqi Sheng
Hongmin Cai
Mamba
340
1
0
04 Nov 2025
StructDiff: Structure-aware Diffusion Model for 3D Fine-grained Medical Image Synthesis
StructDiff: Structure-aware Diffusion Model for 3D Fine-grained Medical Image Synthesis
Jiahao Xia
Yutao Hu
Yaolei Qi
Hao Sun
Wenqi Shao
Junjun He
Ying Fu
Longjiang Zhang
Guanyu Yang
DiffMMedIm
526
0
0
12 Mar 2025
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Chenjun Li
Laurin Lux
Alexander H. Berger
Fernando Navarro
Mert R. Sabuncu
Johannes C. Paetzold
393
5
0
12 Mar 2025
X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma Screening
X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma Screening
Cheng Huang
Weizheng Xie
Tsengdar Lee
Jui-Kai Wang
Karanjit S Kooner
Ning Zhang
Jia Zhang
1.2K
1
0
09 Mar 2025
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
Kejie Chen
Guanbing Gao
Xiaochun Yang
Wenbo Wang
Jing Na
982
4
0
20 Feb 2025
Representing Topological Self-Similarity Using Fractal Feature Maps for
  Accurate Segmentation of Tubular Structures
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures
Jiaxing Huang
Yanfeng Zhou
Yaoru Luo
Guole Liu
Heng Guo
Ge Yang
MedIm
317
17
0
20 Jul 2024
3D Vessel Graph Generation Using Denoising Diffusion
3D Vessel Graph Generation Using Denoising Diffusion
Chinmay Prabhakar
Antonio Terpin
Fabio Musio
Kaiyuan Yang
Tamaz Amiranashvili
Johannes C. Paetzold
Hongwei Bran Li
Bjoern Menze
DiffMMedIm
227
10
0
08 Jul 2024
A label-free and data-free training strategy for vasculature
  segmentation in serial sectioning OCT data
A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data
Etienne Chollet
Yael Balbastre
C. Magnain
Bruce Fischl
Hui Wang
285
2
0
22 May 2024
Topologically faithful multi-class segmentation in medical images
Topologically faithful multi-class segmentation in medical images
Alexander H. Berger
Nico Stucki
Laurin Lux
Vincent Buergin
Antonio Terpin
Anna Banaszak
Daniel Rueckert
Ulrich Bauer
Johannes C. Paetzold
406
11
0
16 Mar 2024
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA
  Images
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Bastian Wittmann
Lukas Glandorf
Johannes C. Paetzold
Tamaz Amiranashvili
T. Walchli
Daniel Razansky
Bjoern Menze
226
8
0
11 Mar 2024
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