Dar-In Tai
Orcid: 0000-0003-1054-1583
  According to our database1,
  Dar-In Tai
  authored at least 8 papers
  between 2020 and 2024.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
  2024
Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study.
    
  
    Sensors, September, 2024
    
  
Ultrasound normalized cumulative residual entropy imaging: Theory, methodology, and application.
    
  
    Comput. Methods Programs Biomed., 2024
    
  
  2022
Convolutional Neural Network Classification of Liver Fibrosis Stages Using Ultrasonic Images Colorized by Features of Echo-Envelope Statistics.
    
  
    Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
    
  
  2021
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning.
    
  
    CoRR, 2021
    
  
    CoRR, 2021
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
    
  
  2020
Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis.
    
  
    Entropy, 2020
    
  
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020