Dinh Hoan Trinh

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 12

Top Topics

Top Venues

Pattern Recognit.

Publications

Omar Zenteno, Dinh Hoan Trinh, Sylvie Treuillet, Yves Lucas, Thomas Bazin, Dominique Lamarque, Christian Daul
Optical biopsy mapping on endoscopic image mosaics with a marker-free probe. Comput. Biol. Medicine 143 (2022)
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Lopez, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
On the in vivo recognition of kidney stones using machine learning. CoRR (2022)
Nguyen Thanh Trung, Dinh Hoan Trinh, Nguyen Linh Trung, Marie Luong
Low-dose CT image denoising using deep convolutional neural networks with extended receptive fields. Signal Image Video Process. 16 (7) (2022)
Francisco Lopez, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Yonathan ElBeze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
Assessing deep learning methods for the identification of kidney stones in endoscopic images. EMBC (2021)
Francisco Lopez, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
Assessing deep learning methods for the identification of kidney stones in endoscopic images. CoRR (2021)
Tan-Binh Phan, Dinh Hoan Trinh, Didier Wolf, Christian Daul
Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces. Pattern Recognit. 105 (2020)
Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. EMBC (2020)
Nguyen Thanh Trung, Dinh Hoan Trinh, Nguyen Linh Trung, Tran Thi Thuy Quynh, Manh-Ha Luu
Dilated Residual Convolutional Neural Networks for Low-Dose CT Image Denoising. APCCAS (2020)
Tan-Binh Phan, Dinh Hoan Trinh, Dominique Lamarque, Didier Wolf, Christian Daul
Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy. ICIP (2019)
Dinh Hoan Trinh, Christian Daul
On illumination-invariant variational optical flow for weakly textured scenes. Comput. Vis. Image Underst. 179 (2019)
Dinh Hoan Trinh, Christian Daul, Walter Blondel, Dominique Lamarque
Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes. ICIP (2018)
Dinh Hoan Trinh, Walter Blondel, Christian Daul
A general form of illumination-invariant descriptors in variational optical flow estimation. ICIP (2017)
Dinh Hoan Trinh, Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, Canh Duong Pham, Nguyen Linh-Trung, Truong Q. Nguyen
An effective example-based learning method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise. ICIP (2014)
Dinh Hoan Trinh, Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, Canh Duong Pham, Truong Q. Nguyen
Novel Example-Based Method for Super-Resolution and Denoising of Medical Images. IEEE Trans. Image Process. 23 (4) (2014)
Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos, Huy Dien Pham
An Optimal Weight Model for Single Image Super-Resolution. DICTA (2012)
Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos
Medical image denoising using Kernel Ridge Regression. ICIP (2011)
Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos
Adaptive Medical Image Denoising Using Support Vector Regression. CAIP (1) (2011)