299 citations · 299 across the 10 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…
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression
Caiwen Jiang, Xiaodan Xing, Zaixin Ou +4
The progression of Idiopathic Pulmonary Fibrosis (IPF) significantly correlates with higher patient mortality rates. Early detection of IPF progression is critical for initiating t…
A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage
Caiwen Jiang, Tianyu Wang, Xiaodan Xing +4
Ischemic stroke is a severe condition caused by the blockage of brain blood vessels, and can lead to the death of brain tissue due to oxygen deprivation. Thrombectomy has become a…
Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis
Xiaozhao Liu, Mianxin Liu, Lang Mei +4
To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress…
Structure-aware registration network for liver DCE-CT images
Peng Xue, Jingyang Zhang, Lei Ma +7
Image registration of liver dynamic contrast-enhanced computed tomography (DCE-CT) is crucial for diagnosis and image-guided surgical planning of liver cancer. However, intensity v…
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity
Mianxin Liu, Han Zhang, Feng Shi +1
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is increasingly used for the diagnoses of brain disorders. However, state-of-the-art st…
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
Jingyang Zhang, Peng Xue, Ran Gu +7
In clinical practice, a segmentation network is often required to continually learn on a sequential data stream from multiple sites rather than a consolidated set, due to the stora…