Tri Huynh

According to our database1, Tri Huynh authored at least 16 papers between 2012 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
A Comparative Analysis of Statistical, Regional CNN, and Sequential Transformer Approaches for Alzheimer's Disease Classification.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024
Acadela: A Domain-Specific Language for Modeling Executable Clinical Pathways.
PhD thesis, 2024

2023
Neural Multigrid Memory For Computational Fluid Dynamics.
CoRR, 2023

Acadela: A Domain-Specific Language for Modeling Clinical Pathways.
Proceedings of the 18th International Conference on Software Technologies, 2023

2022
Semi-supervised learning for medical image classification using imbalanced training data.
Comput. Methods Programs Biomed., 2022

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020
Multigrid Neural Memory.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Bringing Vision to the Blind: From Coarse to Fine, One Dollar at a Time.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Generating effective test cases for self-driving cars from police reports.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

AC3R: automatically reconstructing car crashes from police reports.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Automatically reconstructing car crashes from police reports for testing self-driving cars.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2016
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
IEEE Trans. Medical Imaging, 2016

2015
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2014
Model-to-volume registration for endovascular aneurysm repair.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

2012
An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012


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