Wei Wang

Orcid: 0000-0002-1874-9947

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, Bio-Computing Research Center, Shenzhen, China
  • University of Manchester, School of Physics and Astronomy, Biological Physics Group, UK (PhD 2018)
  • Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China (former)


According to our database1, Wei Wang authored at least 49 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence.
CAAI Trans. Intell. Technol., February, 2024

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation.
Medical Image Anal., 2024

Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mutualreg: Mutual Learning for Unsupervised Medical Image Registration.
Proceedings of the IEEE International Conference on Acoustics, 2024

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning.
Medical Image Anal., December, 2023

Curriculum label distribution learning for imbalanced medical image segmentation.
Medical Image Anal., October, 2023

Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography.
IEEE J. Biomed. Health Informatics, September, 2023

Unsupervised Decomposition Networks for Bias Field Correction in MR Image.
CoRR, 2023

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.
CoRR, 2023

Fusion of electroencephalograms at different channels and different activities via multivariate quaternion valued singular spectrum analysis for intellectual and developmental disorder recognition.
Biomed. Signal Process. Control., 2023

Localized and Balanced Efficient Incomplete Multi-view Clustering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation.
IEEE J. Biomed. Health Informatics, 2022

Mechanisms of ventricular arrhythmias elicited by coexistence of multiple electrophysiological remodeling in ischemia: A simulation study.
PLoS Comput. Biol., 2022

Landmark Enhanced Multimodal Graph Learning for Deepfake Video Detection.
CoRR, 2022

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation.
CoRR, 2022

A contrastive consistency semi-supervised left atrium segmentation model.
Comput. Medical Imaging Graph., 2022

Synthetic Data Supervised Salient Object Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Correction to: Mining a stroke knowledge graph from literature.
BMC Bioinform., 2021

Mining a stroke knowledge graph from literature.
BMC Bioinform., 2021

Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Dynamically constructed network with error correction for accurate ventricle volume estimation.
Medical Image Anal., 2020

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification.
Medical Image Anal., 2020

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography.
Medical Image Anal., 2020

Generating electrocardiogram signals by deep learning.
Neurocomputing, 2020

Alternans in Mouse Atrial Cardiomyocytes: A Computational Study on the Influence of Cell-Cell Coupling and β-Adrenergic Stimulation.
IEEE Access, 2020

Improving Whole-Heart CT Image Segmentation by Attention Mechanism.
IEEE Access, 2020

Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Grassroots VS elites: Which ones are better candidates for influence maximization in social networks?
Neurocomputing, 2019

Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation.
IEEE Access, 2019

An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR Image.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

New Mathematical Models for the Mouse Atrial Fast Sodium Channel.
Proceedings of the 46th Computing in Cardiology, 2019

Arrhythmogenic Mechanism of the Enhanced Late Sodium Current in Human Ventricular Myocytes - a Simulation Study.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Mechanistic insight into spontaneous transition from cellular alternans to arrhythmia - A simulation study.
PLoS Comput. Biol., 2018

2016
Synergistic Anti-arrhythmic Effects of Combined Blockade of Sodium and Ultra-rapid Delayed Rectifier Potassium Channels in Human Atria.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Two Aspects of Cardiac Alternans - Difference and Correlation Between Them.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
In Silico Investigation of the Functional Effects of KCNQ1-G269S Mutation in Human Ventricles.
Proceedings of the Computing in Cardiology, 2015

Investigation of The Mechanisms Underlying Cardiac Alternans - insights from a Computational Study.
Proceedings of the Computing in Cardiology, 2015

Simulation of effects of TBX18 on the pacemaker activity of human ventricular cells.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Simulation of ventricular automaticity induced by reducing inward-rectifier K<sup>+</sup> current.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Simulation of KCNJ2-linked Short QT Syndrome in Human Ventricular Tissue.
Proceedings of the Computing in Cardiology, 2013

2012
A cell counting method for BEVS based on nonlinear Transformed Sliding Band Filter.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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