24 citations · 95 across the 12 of their papers we have counts for
12 papers
Optimal Needle Placement for Prostate Rotating-Shield Brachytherapy (RSBT)
Jirong Yi, Quentin E. Adams, Karolyn M. Hopfensperger +5
Purpose: To present an efficient NEEdle Position Optimization (NEEPO) algorithm for prostate rotating shield brachytherapy (RSBT). With RSBT, the increased flexibility beyond conve…
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Aniket Pramanik, Xiaodong Wu, Mathews Jacob
The volume estimation of brain regions from MRI data is a key problem in many clinical applications, where the acquisition of data at high spatial resolution is desirable. While pa…
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
Hui Xie, Zhe Pan, Leixin Zhou +5
Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence of weak boundary and mutual influence between adjacent ob…
Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors
Leixin Zhou, Xiaodong Wu
Automated surface segmentation is important and challenging in many medical image analysis applications. Recent deep learning based methods have been developed for various object s…
Unsupervised anomaly localization using VAE and beta-VAE
Leixin Zhou, Wenxiang Deng, Xiaodong Wu
Variational Auto-Encoders (VAEs) have shown great potential in the unsupervised learning of data distributions. An VAE trained on normal images is expected to only be able to recon…
Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields
Leixin Zhou, Zisha Zhong, Abhay Shah +3
Automated surface segmentation is important and challenging in many medical image analysis applications. Recent deep learning based methods have been developed for various object s…
Deep segmentation networks predict survival of non-small cell lung cancer
Stephen Baek, Yusen He, Bryan G. Allen +13
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that…
Robust Image Segmentation Quality Assessment
Leixin Zhou, Wenxiang Deng, Xiaodong Wu
Deep learning based image segmentation methods have achieved great success, even having human-level accuracy in some applications. However, due to the black box nature of deep lear…
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors
Junjie Bai, Abhay Shah, Xiaodong Wu
Shape priors have been widely utilized in medical image segmentation to improve segmentation accuracy and robustness. A major way to encode such a prior shape model is to use a mes…
Simultaneous Multiple Surface Segmentation Using Deep Learning
Abhay Shah, Michael Abramoff, Xiaodong Wu
The task of automatically segmenting 3-D surfaces representing boundaries of objects is important for quantitative analysis of volumetric images, and plays a vital role in biomedic…
Fast dose optimization for rotating shield brachytherapy
Myung Cho, Xiaodong Wu, Hossein Dakhah +4
Purpose: To provide a fast computational method, based on the proximal graph solver (POGS) - a convex optimization solver using the alternating direction method of multipliers (ADM…
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space
Abhay Shah, Michael D. Abramoff, Xiaodong Wu
Optimal surface segmentation is a state-of-the-art method used for segmentation of multiple globally optimal surfaces in volumetric datasets. The method is widely used in numerous…