Wangyuan Zhao

Orcid: 0000-0002-6610-4828

According to our database1, Wangyuan Zhao authored at least 9 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
CoLM: Contrastive learning and multiple instance learning network for lung cancer classification of surgical options based on frozen pathological images.
Biomed. Signal Process. Control., 2025

2024
Automatic classification of heart failure based on Cine-CMR images.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

2023
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features.
Comput. Medical Imaging Graph., March, 2023

Self-Supervised Learning Guided Transformer for Survival Prediction of Lung Cancer Using Pathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2021
A Self-supervised Learning Based Framework for Automatic Heart Failure Classification on Cine Cardiac Magnetic Resonance Image.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Classification-Guided Segmentation Algorithm Based on Deep Learning for Epithelium Segmentation in Histopathological Images of Radicular Cysts.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Weak Supervision-based Framework for Automatic Lung Cancer Classification on Whole Slide Image.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Adrenal Tumor Vessels Segmentation Using Convolutional Neural Network in Computed Tomography Angiography.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Brain Tumor Segmentation Using Attention-Based Network in 3D MRI Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019


  Loading...