76 citations · 192 across the 15 of their papers we have counts for
6 papers · 1 filter
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on Ultrasound imaging data
Qiang Zheng, Gregory Tasian, Yong Fan
Classification of ultrasound (US) kidney images for diagnosis of congenital abnormalities of the kidney and urinary tract (CAKUT) in children is a challenging task. It is desirable…
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation
Qiang Zheng, Yong Fan
A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recogn…
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data
Hongming Li, Mohamad Habes, Yong Fan
Increasing effort in brain image analysis has been dedicated to early diagnosis of Alzheimer's disease (AD) based on neuroimaging data. Most existing studies have been focusing on…
Non-rigid image registration using fully convolutional networks with deep self-supervision
Hongming Li, Yong Fan
We propose a novel non-rigid image registration algorithm that is built upon fully convolutional networks (FCNs) to optimize and learn spatial transformations between pairs of imag…
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images
Qiang Zheng, Steven Warner, Gregory Tasian +1
Purpose: To improve kidney segmentation in clinical ultrasound (US) images, we develop a new graph cuts based method to segment kidney US images by integrating original image inten…
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao, Yihong Wu, Guidong Song +3
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis, treatment planning, and treatment outcome evaluation. Build upon successful deep learnin…