145 citations · 212 across the 6 of their papers we have counts for
6 papers
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Junyu Chen, Ye Li, Licia P. Luna +5
Quantitative bone single-photon emission computed tomography (QBSPECT) has the potential to provide a better quantitative assessment of bone metastasis than planar bone scintigraph…
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
Junyu Chen, Yufan He, Eric C. Frey +2
In the last decade, convolutional neural networks (ConvNets) have dominated and achieved state-of-the-art performances in a variety of medical imaging applications. However, the pe…
Medical Image Segmentation via Unsupervised Convolutional Neural Network
Junyu Chen, Eric C. Frey
For the majority of the learning-based segmentation methods, a large quantity of high-quality training data is required. In this paper, we present a novel learning-based segmentati…
Generating Anthropomorphic Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks
Junyu Chen, Ye Li, Yong Du +1
Objectives: Computerized phantoms play an essential role in various applications of medical imaging research. Although the existing computerized phantoms can model anatomical varia…
Feature-Based Image Clustering and Segmentation Using Wavelets
Junyu Chen, Eric C. Frey
Pixel intensity is a widely used feature for clustering and segmentation algorithms, the resulting segmentation using only intensity values might suffer from noises and lack of spa…
Fisher information analysis of list-mode SPECT emission data for joint estimation of activity and attenuation distribution
Md Ashequr Rahman, Yansong Zhu, Eric Clarkson +3
The potential to perform attenuation and scatter compensation (ASC) in single-photon emission computed tomography (SPECT) imaging using only the SPECT emission data is highly signi…