| Novel Example-based Method for Super-Resolution and Denoising of Medical Images DH Trinh, M Luong, F Dibos, J Rocchisani, C Pham, TQ Nguyen IEEE Transactions on Image Processing 23 (4), 1882 - 1895, 2014 | 191 | 2014 |
| An optimal weight method for CT image denoising DH Trinh, M Luong, JM Rocchisani, CD Pham, HD Pham, F Dibos Journal of Electronic Science and Technology 10 (2), 124-129, 2012 | 37 | 2012 |
| Assessing deep learning methods for the identification of kidney stones in endoscopic images F Lopez, A Varelo, O Hinojosa, M Mendez, DH Trinh, Y ElBeze, J Hubert, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 36 | 2021 |
| Towards an Automated Classification Method for Ureteroscopic Kidney Stone Images Using Ensemble Learning A Martinez, DH Trinh, J El Beze, J Hubert, P Eschwege, V Estrade, ... The 42nd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology …, 2020 | 33 | 2020 |
| Optical Flow-based Structure-from-Motion for the Reconstruction of Epithelial Surfaces TB Phan, DH Trinh, D Wolf, C Daul Pattern Recognition 105, 107391, 2020 | 32 | 2020 |
| Sensor classification for the fault detection and isolation, a structural approach C Commault, JM Dion, DH Trinh, TH Do International Journal of Adaptive Control and Signal Processing 25 (1), 1-17, 2011 | 28 | 2011 |
| Low-dose CT image denoising using deep convolutional neural networks with extended receptive fields NT Trung, DH Trinh, NL Trung, M Luong Signal, Image and Video Processing 16 (7), 1963-1971, 2022 | 26 | 2022 |
| On Illumination-Invariant Variational Optical Flow for Weakly Textured Scenes DH Trinh, C Daul Computer Vision and Image Understanding 179, 1-18, 2019 | 22 | 2019 |
| On the in vivo recognition of kidney stones using machine learning G Ochoa-Ruiz, V Estrade, F Lopez, D Flores-Araiza, JE Beze, DH Trinh, ... arXiv preprint arXiv:2201.08865, 2022 | 21* | 2022 |
| Medical Image Denoising using Kernel Ridge Regression DH Trinh, M Luong, J Rocchisani, CD Pham, F Dibos IEEE Int. Conf. on Image Processing (ICIP 2011), 1597-1600, 2011 | 20 | 2011 |
| Dilated residual convolutional neural networks for low-dose CT image denoising NT Trung, DH Trinh, NL Trung, TTT Quynh, MH Luu 2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 189-192, 2020 | 12 | 2020 |
| Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscope TB Phan, DH Trinh, D Lamarque, W Didier, C Daul IEEE Int. Conf. on Image Processing (ICIP 2019), 310-314, 2019 | 11 | 2019 |
| A General Form of Illumination-Invariant Descriptors in Variational Optical Flow Estimation DH Trinh, W Blondel, C Daul IEEE Int. Conf. on Image Processing (ICIP 2017), 2533 - 2537, 2017 | 11 | 2017 |
| An Effective Example-Based Learning Method for Denoising of Medical Images Corrupted by Heavy Gaussian noise and Poisson Noise DH Trinh, M Luong, JM Rocchisani, F Dibos, CD Pham, N Linh-Trung, ... IEEE Int. Conf. on Image Processing (ICIP 2014), 823 - 827, 2014 | 10 | 2014 |
| Mosaicing of images with few textures and strong illumination changes: Application to gastroscopic scenes DH Trinh, C Daul, W Blondel, D Lamarque IEEE Int. Conf. on Image Processing (ICIP 2018), 1263-1267, 2018 | 9 | 2018 |
| An efficient example-based method for CT image denoising based on frequency decomposition and sparse representation TT Nguyen, DH Trinh, N Linh-Trung IEEE Int. Conf. on Advanced Technologies for Communications (ATC 2016), 293-296, 2016 | 9 | 2016 |
| Optical biopsy mapping on endoscopic image mosaics with a marker-free probe O Zenteno, DH Trinh, S Treuillet, Y Lucas, T Bazin, D Lamarque, C Daul Computers in Biology and Medicine 143, 105234, 2022 | 8 | 2022 |
| An Effective Example-based Denoising Method for CT Images using Markov Random Field DH Trinh, TT Nguyen, N Linh-Trung IEEE Int. Conf. on Advanced Technologies for Communications (ATC 2014), 355 …, 2014 | 7 | 2014 |
| Low-dose CT Image Denoising using Image Decomposition and Sparse Representation NT Trung, TD Hoan, NL Trung, M Luong REV Journal on Electronics and Communications 9, 78-88, 2019 | 6 | 2019 |
| An Optimal Weight Model for Single Image Super-Resolution. DH Trinh, M Luong, JM Rocchisani, CD Pham, F Dibos, HD Pham Digital Image Computing: Techniques and Applications (DICTA 2012), 1-8, 2012 | 6 | 2012 |
Christian DaulFull professor, Université de LorraineAdresse e-mail validée de univ-lorraine.fr
