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20182023
most citedSegmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network

14 citations · 20 across the 9 of their papers we have counts for

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eess.IV2023

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration

Xiaoran Zhang, John C. Stendahl, Lawrence Staib +3

We propose an adaptive training scheme for unsupervised medical image registration. Existing methods rely on image reconstruction as the primary supervision signal. However, nuisan…

eess.IV2023★ 1 cited

TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction

Xueqi Guo, Luyao Shi, Xiongchao Chen +10

The rapid tracer kinetics of rubidium-82 (Rb) and high variation of cross-frame distribution in dynamic cardiac positron emission tomography (PET) raise significant challeng…

eess.IV2023

Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions

Huidong Xie, Bo Zhou, Xiongchao Chen +6

Cardiovascular disease (CVD) is the leading cause of death worldwide, and myocardial perfusion imaging using SPECT has been widely used in the diagnosis of CVDs. The GE 530/570c de…

eess.IV2022

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Xiongchao Chen, Bo Zhou, Huidong Xie +5

Single-photon emission computed tomography (SPECT) is a widely applied imaging approach for diagnosis of coronary artery diseases. Attenuation maps (u-maps) derived from computed t…

eess.IV2022★ 14 cited

Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network

Huidong Xie, Zhao Liu, Luyao Shi +10

In nuclear imaging, limited resolution causes partial volume effects (PVEs) that affect image sharpness and quantitative accuracy. Partial volume correction (PVC) methods incorpora…