Shuai Wang

Orcid: 0000-0003-3730-6401

Affiliations:
  • Hangzhou Dianzi University, School of Cyberspace, Lishui Institute, China
  • National Institutes of Health, Clinical Center, Bethesda, MD, USA (2020-2021)
  • University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (2017-2019)
  • Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China (PhD 2017)


According to our database1, Shuai Wang authored at least 48 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Dynamic domain generalization for medical image segmentation.
Neural Networks, 2025

2024
Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation.
IEEE Trans. Consumer Electron., August, 2024

Transformer-Based Cross-Modal Integration Network for RGB-T Salient Object Detection.
IEEE Trans. Consumer Electron., May, 2024

All-day Image Alignment for PTZ Surveillance Based on Correlated Siamese Neural Network.
Signal Image Video Process., February, 2024

MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object Detection.
IEEE Trans. Multim., 2024

Deep Joint Semantic Adaptation Network for Multi-source Unsupervised Domain Adaptation.
Pattern Recognit., 2024

GINet:Graph interactive network with semantic-guided spatial refinement for salient object detection in optical remote sensing images.
J. Vis. Commun. Image Represent., 2024

ADNet: Anti-noise dual-branch network for road defect detection.
Eng. Appl. Artif. Intell., 2024

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation.
CoRR, 2024

Superpixel-based Efficient Sampling for Learning Neural Fields from Large Input.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Stochastic Context Consistency Reasoning for Domain Adaptive Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning Functional Dynamics from a Multilayer Brain Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Multi-Modal Intermediate Feature Interaction Autoencoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Accurate Segmentation of Optic Disc and Cup from Multiple Pseudo-labels by Noise-aware Learning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Transformer-Based Multi-Scale Feature Integration Network for Video Saliency Prediction.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound.
IEEE J. Biomed. Health Informatics, July, 2023

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.
CoRR, 2023

Multi-Task Dual Boundary Aware Network for Retinal Layer Segmentation.
IEEE Access, 2023

Parsing is All You Need for Accurate Gait Recognition in the Wild.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy.
IEEE J. Biomed. Health Informatics, 2022

Editorial: Weakly supervised deep learning-based methods for brain image analysis.
Frontiers Neuroinformatics, 2022

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping.
CoRR, 2022

Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs.
Comput. Biol. Medicine, 2022

Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
IEEE Trans. Medical Imaging, 2021

Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract.
IEEE J. Biomed. Health Informatics, 2021

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2021

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal., 2021

Dispensed Transformer Network for Unsupervised Domain Adaptation.
CoRR, 2021

Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy.
CoRR, 2021

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020

Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images.
CoRR, 2020

Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019

2017
Multi-Class Latent Concept Pooling for Computer-Aided Endoscopy Diagnosis.
ACM Trans. Multim. Comput. Commun. Appl., 2017

Deep learning of directional truncated signed distance function for robust 3D object recognition.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Computer-Aided Endoscopic Diagnosis Without Human-Specific Labeling.
IEEE Trans. Biomed. Eng., 2016

UDSFS: Unsupervised deep sparse feature selection.
Neurocomputing, 2016

Scalable gastroscopic video summarization via similar-inhibition dictionary selection.
Artif. Intell. Medicine, 2016

Flame detection based on spatio-temporal covariance matrix.
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016

2015
Deep sparse feature selection for computer aided endoscopy diagnosis.
Pattern Recognit., 2015

Computer aided endoscope diagnosis via weakly labeled data mining.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Automatic gastroscopy video quality assessment.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014


  Loading...