Dinh Hoan Trinh

17 papers B 5Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Low-dose CT image denoising using deep convolutional neural networks with extended receptive fields.
Signal Image Video Process.
Nguyen Thanh Trung, Dinh Hoan Trinh, Nguyen Linh Trung, Marie Luong
2022 J jnl
On the in vivo recognition of kidney stones using machine learning.
CoRR
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
2022 J jnl
Optical biopsy mapping on endoscopic image mosaics with a marker-free probe.
Comput. Biol. Medicine
Omar Zenteno, Dinh Hoan Trinh, Sylvie Treuillet, Yves Lucas, Thomas Bazin, Dominique Lamarque, Christian Daul
2021 — conf
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
EMBC
Francisco Javier López-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
2021 J jnl
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR
Francisco Javier López-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
2020 — conf
Dilated Residual Convolutional Neural Networks for Low-Dose CT Image Denoising.
APCCAS
Nguyen Thanh Trung, Dinh Hoan Trinh, Nguyen Linh Trung, Tran Thi Thuy Quynh, Manh-Ha Luu
2020 J jnl
Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces.
Pattern Recognit.
Tan-Binh Phan, Dinh Hoan Trinh, Didier Wolf, Christian Daul
2020 — conf
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.
EMBC
Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Maria Aguilar-Lobo, Christian Daul, Gilberto Ochoa
2019 B conf
Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy.
ICIP
Tan-Binh Phan, Dinh Hoan Trinh, Dominique Lamarque, Didier Wolf, Christian Daul
2019 J jnl
On illumination-invariant variational optical flow for weakly textured scenes.
Comput. Vis. Image Underst.
Dinh Hoan Trinh, Christian Daul
2018 B conf
Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes.
ICIP
Dinh Hoan Trinh, Christian Daul, Walter Blondel, Dominique Lamarque
2017 B conf
A general form of illumination-invariant descriptors in variational optical flow estimation.
ICIP
Dinh Hoan Trinh, Walter Blondel, Christian Daul
2014 B conf
An effective example-based learning method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise.
ICIP
Dinh Hoan Trinh, Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, Canh Duong Pham, Nguyen Linh-Trung, Truong Q. Nguyen
2014 J jnl
Novel Example-Based Method for Super-Resolution and Denoising of Medical Images.
IEEE Trans. Image Process.
Dinh Hoan Trinh, Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, Canh Duong Pham, Truong Q. Nguyen
2012 Misc conf
An Optimal Weight Model for Single Image Super-Resolution.
DICTA
Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos, Huy Dien Pham
2011 — conf
Adaptive Medical Image Denoising Using Support Vector Regression.
CAIP (1)
Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos
2011 B conf
Medical image denoising using Kernel Ridge Regression.
ICIP
Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos