Dinh Hoan Trinh

According to our database1, Dinh Hoan Trinh authored at least 17 papers between 2011 and 2022.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Low-dose CT image denoising using deep convolutional neural networks with extended receptive fields.
Signal Image Video Process., 2022

On the in vivo recognition of kidney stones using machine learning.
CoRR, 2022

Optical biopsy mapping on endoscopic image mosaics with a marker-free probe.
Comput. Biol. Medicine, 2022

2021
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces.
Pattern Recognit., 2020

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Dilated Residual Convolutional Neural Networks for Low-Dose CT Image Denoising.
Proceedings of the 2020 IEEE Asia Pacific Conference on Circuits and Systems, 2020

2019
On illumination-invariant variational optical flow for weakly textured scenes.
Comput. Vis. Image Underst., 2019

Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
A general form of illumination-invariant descriptors in variational optical flow estimation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014
Novel Example-Based Method for Super-Resolution and Denoising of Medical Images.
IEEE Trans. Image Process., 2014

An effective example-based learning method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
An Optimal Weight Model for Single Image Super-Resolution.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

2011
Medical image denoising using Kernel Ridge Regression.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Adaptive Medical Image Denoising Using Support Vector Regression.
Proceedings of the Computer Analysis of Images and Patterns, 2011


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