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05/29/2023
Computation Offloading for Edge Computing in RIS-Assisted Symbiotic Radio Systems
In the paper, we investigate the coordination process of sensing and com...
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03/25/2021
Test-Time Training for Deformable Multi-Scale Image Registration
Registration is a fundamental task in medical robotics and is often a cr...
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05/28/2020
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
Scoliosis is a congenital disease that causes lateral curvature in the s...
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05/05/2020
Partly Supervised Multitask Learning
Semi-supervised learning has recently been attracting attention as an al...
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04/15/2020
Analysis of Scoliosis From Spinal X-Ray Images
Scoliosis is a congenital disease in which the spine is deformed from it...
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12/09/2019
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
In this work, we propose to resolve the issue existing in current deep l...
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06/18/2019
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking
Echocardiography has become routinely used in the diagnosis of cardiomyo...
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02/05/2019
AVP: Physics-informed Data Generation for Small-data Learning
Deep neural networks have achieved great success in multiple learning pr...
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01/29/2019
Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
Recent transportation network studies on uncertainty and reliability cal...
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08/15/2018
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Radiation therapy (RT) is a common treatment for head and neck (HaN) can...
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08/15/2018
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
Methods: Our deep learning model, called AnatomyNet, segments OARs from ...
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08/14/2018