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ORCIDDinh Hoan Trinh
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2020 – today
- 2022
[j5]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: 105234 (2022)- [j4]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): 1963-1971 (2022) - [i2]Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, 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 abs/2201.08865 (2022) - 2021
- [c10]Francisco Javier Lopez-Tiro, Andres Varelo, 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. EMBC 2021: 2778-2781 - [i1]Francisco Javier Lopez-Tiro, 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 abs/2103.01146 (2021) - 2020
- [j3]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: 107391 (2020) - [c9]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: 189-192 - [c8]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: 1936-1939
2010 – 2019
- 2019
- [j2]Dinh Hoan Trinh, Christian Daul:
On illumination-invariant variational optical flow for weakly textured scenes. Comput. Vis. Image Underst. 179: 1-18 (2019) - [c7]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: 310-314 - 2018
- [c6]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: 1263-1267 - 2017
- [c5]Dinh Hoan Trinh, Walter Blondel, Christian Daul:
A general form of illumination-invariant descriptors in variational optical flow estimation. ICIP 2017: 2533-2537 - 2014
- [j1]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): 1882-1895 (2014) - [c4]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: 823-827 - 2012
- [c3]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: 1-8 - 2011
- [c2]Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos:
Adaptive Medical Image Denoising Using Support Vector Regression. CAIP (1) 2011: 494-502 - [c1]Dinh Hoan Trinh, Marie Luong, Jean-Marie Rocchisani, Canh Duong Pham, Françoise Dibos:
Medical image denoising using Kernel Ridge Regression. ICIP 2011: 1597-1600
Coauthor Index
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