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Predicting real-time traffic conflicts using deep learning

Accident analysis and prevention, 2020-03, Vol.136, p.105429-105429, Article 105429

2020

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Infrapopliteal endovascular intervention and the angiosome concept: intraoperative real-time assessment of foot regions’ blood volume guides and improves direct revascularization

European radiology, 2021-04, Vol.31 (4), p.2144-2152

2021

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A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles

Applied sciences, 2023-02, Vol.13 (4), p.2750

2023

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A contrast-enhanced CT-based radiomic nomogram for the differential diagnosis of intravenous leiomyomatosis and uterine leiomyoma

Frontiers in oncology, 2023-08, Vol.13, p.1239124-1239124

2023

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One-year outcomes of drug-coated balloon treatment for long femoropopliteal lesions: a multicentre cohort and real-world study

BMC cardiovascular disorders, 2021-07, Vol.21 (1), p.1-326, Article 326

2021

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Key Considerations in Assessing the Safety and Performance of Camera-Based Mirror Systems

Safety (Basel), 2023-12, Vol.9 (4), p.73

2023

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Angiosome-directed endovascular intervention and infrapopliteal disease: Intraoperative evaluation of distal hemodynamic changes and foot blood volume of lower extremity

Frontiers in surgery, 2022-09, Vol.9, p.988639-988639

2022

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Real-time crash risk prediction on arterials based on LSTM-CNN

Accident analysis and prevention, 2020-02, Vol.135, p.105371-105371, Article 105371

2020

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Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction

IEEE transactions on intelligent transportation systems, 2022-08, Vol.23 (8), p.11960-11969

2022

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Renal perfusion improvement in the perioperative period after unilateral endovascular revascularization in patients with atherosclerotic renal artery stenosis

Frontiers in cardiovascular medicine, 2023-07, Vol.10, p.1193864-1193864

2023

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Approach-level real-time crash risk analysis for signalized intersections

Accident analysis and prevention, 2018-10, Vol.119, p.274-289

2018

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Crash data augmentation using variational autoencoder

Accident analysis and prevention, 2021-03, Vol.151, p.105950-105950, Article 105950

2021

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Using closed-circuit television cameras to analyze traffic safety at intersections based on vehicle key points detection

Accident analysis and prevention, 2022-10, Vol.176, p.106794-106794, Article 106794

2022

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Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network

Transportation research record, 2019-04, Vol.2673 (4), p.314-326

2019

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Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai

IEEE transactions on intelligent transportation systems, 2022-09, Vol.23 (9), p.15329-15339

2022

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Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas

Accident analysis and prevention, 2019-02, Vol.123, p.159-169

2019

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Real-time crash prediction on expressways using deep generative models

Transportation research. Part C, Emerging technologies, 2020-08, Vol.117, p.102697, Article 102697

2020

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Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data

Accident analysis and prevention, 2021-02, Vol.150, p.105924-105924, Article 105924

2021

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Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network

Transportation research record, 2020-04, Vol.2674 (4), p.57-65

2020

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Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data

IEEE transactions on intelligent transportation systems, 2021-11, Vol.22 (11), p.6700-6715

2021

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Predicting cycle-level traffic movements at signalized intersections using machine learning models

Transportation research. Part C, Emerging technologies, 2021-03, Vol.124, p.102930, Article 102930

2021

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Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

Accident analysis and prevention, 2020-09, Vol.144, p.105655-105655, Article 105655

2020

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Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai

IEEE transactions on intelligent transportation systems, 2022-01, Vol.1 (1)

2022

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Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: A driving simulator study

Transportation research. Part F, Traffic psychology and behaviour, 2019-04, Vol.62, p.11-32

2019

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Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data

Accident analysis and prevention, 2020-06, Vol.141, p.105509-105509, Article 105509

2020

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Predicting real-time traffic conflicts using deep learning

Infrapopliteal endovascular intervention and the angiosome concept: intraoperative real-time assessment of foot regions’ blood volume guides and improves direct revascularization

A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles

A contrast-enhanced CT-based radiomic nomogram for the differential diagnosis of intravenous leiomyomatosis and uterine leiomyoma

One-year outcomes of drug-coated balloon treatment for long femoropopliteal lesions: a multicentre cohort and real-world study

Key Considerations in Assessing the Safety and Performance of Camera-Based Mirror Systems

Angiosome-directed endovascular intervention and infrapopliteal disease: Intraoperative evaluation of distal hemodynamic changes and foot blood volume of lower extremity

Real-time crash risk prediction on arterials based on LSTM-CNN

Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction

Renal perfusion improvement in the perioperative period after unilateral endovascular revascularization in patients with atherosclerotic renal artery stenosis

Approach-level real-time crash risk analysis for signalized intersections

Crash data augmentation using variational autoencoder

Using closed-circuit television cameras to analyze traffic safety at intersections based on vehicle key points detection

Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network

Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai

Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas

Real-time crash prediction on expressways using deep generative models

Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data

Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network

Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data

Predicting cycle-level traffic movements at signalized intersections using machine learning models

Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai

Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: A driving simulator study

Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data

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