C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

31 July 2023

Papers citing "C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation"

7 / 7 papers shown

Title
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 36 0 0 14 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Abdullah Tao Huang Ickjai Lee E. Ahn MedIm 21 0 0 09 May 2025
Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions Tianliang Yao Bo Lu Markus Kowarschik Yixuan Yuan Hubin Zhao Sebastien Ourselin Kaspar Althoefer Junbo Ge Peng Qi 31 0 0 21 Apr 2025
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 214 176 0 30 Jun 2022
Decoder Denoising Pretraining for Semantic Segmentation Emmanuel B. Asiedu Simon Kornblith Ting Chen Niki Parmar Matthias Minderer Mohammad Norouzi AI4CE 191 26 0 23 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 513 0 06 Dec 2021
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,444 0 21 Nov 2016