28 citations · 113 across the 25 of their papers we have counts for
6 papers · 1 filter
Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency
Xiongchao Chen, Bo Zhou, Huidong Xie +4
Myocardial perfusion imaging (MPI) by single-photon emission computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. Reducing the dose of the in…
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT
Xiongchao Chen, Bo Zhou, Huidong Xie +4
Single-Photon Emission Computed Tomography (SPECT) is widely applied for the diagnosis of ischemic heart diseases. Low-dose (LD) SPECT aims to minimize radiation exposure but leads…
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou, Chi Liu, James S. Duncan
A large amount of manual segmentation is typically required to train a robust segmentation network so that it can segment objects of interest in a new imaging modality. The manual…
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Bo Zhou, Randolph Crawford, Belma Dogdas +2
Volumetric segmentation of lesions on CT scans is important for many types of analysis, including lesion growth kinetic modeling in clinical trials and machine learning of radiomic…
Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network
Bo Zhou, Xunyu Lin, Brendan Eck +2
Dual-energy (DE) chest radiographs provide greater diagnostic information than standard radiographs by separating the image into bone and soft tissue, revealing suspicious lesions…
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Guannan Zhao, Bo Zhou, Kaiwen Wang +2
The convolutional neural network (CNN) has become a powerful tool for various biomedical image analysis tasks, but there is a lack of visual explanation for the machinery of CNNs.…