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07/21/2022
R2P: A Deep Learning Model from mmWave Radar to Point Cloud
Recent research has shown the effectiveness of mmWave radar sensing for ...
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01/27/2022
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment
In Vitro Fertilization (IVF) is the most widely used Assisted Reproducti...
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09/19/2021
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
Recent research has shown that mmWave radar sensing is effective for obj...
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04/08/2021
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Financial markets are a complex dynamical system. The complexity comes f...
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01/11/2021
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study
Colorectal polyps are abnormal tissues growing on the intima of the colo...
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04/03/2020
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks
Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting ...
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03/26/2020
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
Diabetic retinopathy (DR) is a primary cause of blindness in working-age...
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01/29/2020
3D Aggregated Faster R-CNN for General Lesion Detection
Lesions are damages and abnormalities in tissues of the human body. Many...
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12/26/2019
Colorectal Polyp Segmentation by U-Net with Dilation Convolution
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers an...
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11/19/2019
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features
Diabetic retinopathy (DR) is a diabetes complication that affects eyes. ...
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09/05/2019
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...
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08/29/2019
3D Anchor-Free Lesion Detector on Computed Tomography Scans
Lesions are injuries and abnormal tissues in the human body. Detecting l...
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08/26/2019
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
We are interested in the optimal scheduling of a collection of multi-com...
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08/22/2019
Multi-Stream Single Shot Spatial-Temporal Action Detection
We present a 3D Convolutional Neural Networks (CNNs) based single shot d...
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11/28/2017
A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System
We introduce a game-theoretic framework to ex- plore revenue sharing in ...
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09/20/2013
Scan-based Compressed Terahertz Imaging and Real-Time Reconstruction via the Complex-valued Fast Block Sparse Bayesian Learning Algorithm
Compressed Sensing based Terahertz imaging (CS-THz) is a computational i...
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11/21/2012
