Benyuan Liu

Benyuan Liu

University of Massachusetts Lowell

H-index: 44

North America-United States

About Benyuan Liu

Benyuan Liu, With an exceptional h-index of 44 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Massachusetts Lowell, specializes in the field of Computer Networking, Mobile Computing, Social Networking and Computing, Digital Health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rapid detection of non-normal teeth on dental X-ray images using improved Mask R-CNN with attention mechanism

A CNN-Based Disease Detection Framework for Wireless Capsule Endoscopy Videos

A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images

Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN

Automatic disease detection in endoscopy with light weight transformer

Deep learning for gastric location classification: An analysis of location boundaries and improvements through attention and contrastive learning

DeepPsych: Harnessing Market Psychology with Deep Learning

MAF-Net: Multi-branch anchor-free detector for polyp localization and classification in colonoscopy

Benyuan Liu Information

University

Position

Professor of Computer Science

Citations(all)

9160

Citations(since 2020)

2810

Cited By

7329

hIndex(all)

44

hIndex(since 2020)

30

i10Index(all)

106

i10Index(since 2020)

64

Email

University Profile Page

Google Scholar

Benyuan Liu Skills & Research Interests

Computer Networking

Mobile Computing

Social Networking and Computing

Digital Health

Top articles of Benyuan Liu

Rapid detection of non-normal teeth on dental X-ray images using improved Mask R-CNN with attention mechanism

International Journal of Computer Assisted Radiology and Surgery

2024/1/3

A CNN-Based Disease Detection Framework for Wireless Capsule Endoscopy Videos

2023/12/15

A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images

2023/11/16

Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN

2023/9/24

Automatic disease detection in endoscopy with light weight transformer

Smart Health

2023/6/1

Deep learning for gastric location classification: An analysis of location boundaries and improvements through attention and contrastive learning

Smart Health

2023/6/1

DeepPsych: Harnessing Market Psychology with Deep Learning

2023

MAF-Net: Multi-branch anchor-free detector for polyp localization and classification in colonoscopy

2022/12/4

Deep Learning Assisted Mouth-Esophagus Passage Time Estimation During Gastroscopy

2022/10/31

R2p: A deep learning model from mmwave radar to point cloud

2022/9/6

User Experience Awareness Network Optimization for Video Streaming Based Applications

2022/9/1

Benyuan Liu
Benyuan Liu

H-Index: 26

Enhance chest x-ray classification with multi-image fusion and pseudo-3d reconstruction

2022/7/18

A machine learning-based system for real-time polyp detection (DeFrame): a retrospective study

Frontiers in Medicine

2022/5/31

Automated disease detection in gastroscopy videos using convolutional neural networks

Frontiers in Medicine

2022/4/12

Spotlight scheme: enhancing medical image classification with lesion location information

2022/4/4

DMA-Net: DeepLab with multi-scale attention for pavement crack segmentation

IEEE Transactions on Intelligent Transportation Systems

2022/3/24

erxnet: A pipeline of convolutional neural networks for tuberculosis screening

International Journal of Semantic Computing

2022/3

Afp-mask: Anchor-free polyp instance segmentation in colonoscopy

IEEE Journal of Biomedical and Health Informatics

2022/2/1

Detection of endoscope withdrawal time in colonoscopy videos

2021/12/13

Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements

2021/12/13

See List of Professors in Benyuan Liu University(University of Massachusetts Lowell)

Co-Authors

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