Th.1.3.5
LIVERDIFF: TWO-STAGE CONTROLLABLE LIVER CT IMAGE SYNTHESIS VIA HYBRID GAN-DIFFUSION MODELS
Zheng Liu, Lizhuo Guan, Mengxiang Chu, Xuelei He, Fengjun Zhao, Xiaowei He, Northwest University
Session:
Th.1.3: Generative Models & Diffusion in Medical Imaging Oral
Track:
Biomedical Imaging and Image Processing
Location:
Room 717A
Presentation Time:
Thursday, 30 July, 09:30 - 09:45
Session Co-Chairs:
Buket Barkana and Alexander Nazarov
Presentation
Discussion
Resources
No resources available.
Session Th.1.3
Th.1.3.1: SELF-SUPERVISED MRI DENOISING USING A PHYSICS-AWARE DUAL-BRANCH NETWORK
Juncen Wu, Zijian Zhou, ShanghaiTech University; Wenchao Yang, United Imaging Healthcare; Xin Bai, Peng Hu, ShanghaiTech University
Th.1.3.2: CONSTRAINED PET RECONSTRUCTION VIA LATENT-SPACE OPTIMIZATION WITH FLOW-MATCHING PRIORS
Hengjia Ran, Huafeng Liu, Bo Zhao, Zhejiang University
Th.1.3.3: From Baseline to Follow-Up: Counterfactual Spine DXA Image Synthesis in UK Biobank Using a Causal Hierarchical Variational Autoencoder
Yilin Zhang, University of Southampton; Nicholas C Harvey, Nicholas R Fuggle, University of Southampton, Southampton General Hospital; Rahman Attar, University of Southampton
Th.1.3.4: TP-GAN: A TRANSFORMER-BASED PROGRESSIVE GAN MODEL FOR SYSTEM MATRIX RECOVERY OF MAGNETIC PARTICLE IMAGING
Lizhi Zhang, Jintao Li, Zijian Tang, Northwest university; Shuangchen Li, tsinghua university; Hongbo Guo, Xiaowei He, Northwest university
Th.1.3.5: LIVERDIFF: TWO-STAGE CONTROLLABLE LIVER CT IMAGE SYNTHESIS VIA HYBRID GAN-DIFFUSION MODELS
Zheng Liu, Lizhuo Guan, Mengxiang Chu, Xuelei He, Fengjun Zhao, Xiaowei He, Northwest University
Th.1.3.6: μClearGAN: A Blurriness Level Guided GAN for Unsupervised Microscopic Image Deblurring
Sixuan Wu, Anika Gaddam, Alexander T. Adams, Georgia Institute of Technology
Resources
No resources available.