2 citations · 3 across the 5 of their papers we have counts for
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End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms
Caiwen Jiang, Mianxin Liu, Kaicong Sun +1
As a sensitive functional imaging technique, positron emission tomography (PET) plays a critical role in early disease diagnosis. However, obtaining a high-quality PET image requir…
3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-quality Medical Image Generation
Haoshen Wang, Zhentao Liu, Kaicong Sun +3
The generation of medical images presents significant challenges due to their high-resolution and three-dimensional nature. Existing methods often yield suboptimal performance in g…
DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels
Dengqiang Jia, Xinnian Yang, Xiaosong Xiong +6
Vessel dynamics simulation is vital in studying the relationship between geometry and vascular disease progression. Reliable dynamics simulation relies on high-quality vascular mes…
Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation
Yulin Wang, Honglin Xiong, Kaicong Sun +7
Multimodal brain magnetic resonance (MR) imaging is indispensable in neuroscience and neurology. However, due to the accessibility of MRI scanners and their lengthy acquisition tim…