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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
CoRR, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
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


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