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Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
Xinrui Zhou, Yuhao Huang, Wufeng Xue +7
Localization of the narrowest position of the vessel and corresponding vessel and remnant vessel delineation in carotid ultrasound (US) are essential for carotid stenosis grading (…
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
Zejian Chen, Wei Zhuo, Tianfu Wang +2
In this work, we propose a novel straightforward method for medical volume and sequence segmentation with limited annotations. To avert laborious annotating, the recent success of…
FetusMap: Fetal Pose Estimation in 3D Ultrasound
Xin Yang, Wenlong Shi, Haoran Dou +6
The 3D ultrasound (US) entrance inspires a multitude of automated prenatal examinations. However, studies about the structuralized description of the whole fetus in 3D US are still…
Cardiac Motion Scoring with Segment- and Subject-level Non-Local Modeling
Wufeng Xue, Gary Brahm, Stephanie Leung +2
Motion scoring of cardiac myocardium is of paramount importance for early detection and diagnosis of various cardiac disease. It aims at identifying regional wall motions into one…
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness
Wufeng Xue, Andrea Lum, Ashley Mercado +3
Cardiac left ventricle (LV) quantification is among the most clinically important tasks for identification and diagnosis of cardiac diseases, yet still a challenge due to the high…
Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network
Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey +3
Accurate estimation of regional wall thicknesses (RWT) of left ventricular (LV) myocardium from cardiac MR sequences is of significant importance for identification and diagnosis o…
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning
Wufeng Xue, Ali Islam, Mousumi Bhaduri +1
Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with…
Learn to Evaluate Image Perceptual Quality Blindly from Statistics of Self-similarity
Wufeng Xue, Xuanqin Mou, Lei Zhang
Among the various image quality assessment (IQA) tasks, blind IQA (BIQA) is particularly challenging due to the absence of knowledge about the reference image and distortion type.…
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
Wufeng Xue, Lei Zhang, Xuanqin Mou +1
It is an important task to faithfully evaluate the perceptual quality of output images in many applications such as image compression, image restoration and multimedia streaming. A…