Dinh Hoan Trinh

Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces

Christian Daul, Tan-Binh Phan, Dinh Hoan Trinh, 2020, Pattern Recognit..

Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes

Dominique Lamarque, Christian Daul, Walter Blondel, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

A general form of illumination-invariant descriptors in variational optical flow estimation

Christian Daul, Walter Blondel, Dinh Hoan Trinh, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Novel Example-Based Method for Super-Resolution and Denoising of Medical Images

Truong Q. Nguyen, Marie Luong, Françoise Dibos, 2014, IEEE Transactions on Image Processing.

On illumination-invariant variational optical flow for weakly textured scenes

Christian Daul, Dinh Hoan Trinh, D. Trinh, 2019, Comput. Vis. Image Underst..

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning

Christian Daul, Pascal Eschwege, Gilberto Ochoa-Ruiz, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

An effective example-based learning method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise

Truong Q. Nguyen, Nguyen Linh-Trung, Marie Luong, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

MR image denoising using nonlinear regression and Fuzzy C-Means clustering

Marie Luong, Jean-Marie Rocchisani, Dinh Hoan Trinh, 2011, The 2011 International Conference on Advanced Technologies for Communications (ATC 2011).

Adaptive Medical Image Denoising Using Support Vector Regression

Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, 2011, CAIP.

An Optimal Weight Model for Single Image Super-Resolution

Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Medical image denoising using Kernel Ridge Regression

Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, 2011, 2011 18th IEEE International Conference on Image Processing.

Assessing deep learning methods for the identification of kidney stones in endoscopic images

Christian Daul, Gilberto Ochoa-Ruiz, Dinh Hoan Trinh, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).