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Minh Nhat Trinh
Minh Nhat Trinh
Master of Automation and Control Engineering, Hanoi University of Science and Technology
Verified email at sis.hust.edu.vn
Title
Cited by
Cited by
Year
An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation
MN Trinh, VD Nguyen, VT Pham, TT Tran
Biomedical Signal Processing and Control 83, 104631, 2023
92023
A deep learning-based approach with image-driven active contour loss for medical image segmentation
MN Trinh, NT Nguyen, TT Tran, VT Pham
Proceedings of International Conference on Data Science and Applications …, 2022
72022
An attention-PiDi-UNet and focal active contour loss for biomedical image segmentation
MN Trinh, VT Pham, TT Tran
2022 RIVF International Conference on Computing and Communication …, 2022
42022
A semi-supervised deep learning-based approach with multiphase active contour loss for left ventricle segmentation from CMR images
MN Trinh, NT Nguyen, TT Tran, VT Pham
Proceedings of Third International Conference on Sustainable Computing …, 2022
32022
A modified FCN-based method for Left Ventricle endocardium and epicardium segmentation with new block modules
MN Trinh, TT Tran, VT Pham, TT Tran
2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 392-397, 2021
32021
Tversky-Kahneman: A New Loss Function for Skin Lesion Image Segmentation
DHN Nham, MN Trinh, VT Pham, TT Tran
Proceedings of International Conference on Data Science and Applications …, 2023
12023
A Deep Learning-Based Approach with Semi-supervised Level Set Loss for Infant Brain MRI Segmentation
MN Trinh, VT Pham, TT Tran
Pervasive Computing and Social Networking: Proceedings of ICPCSN 2022, 533-545, 2022
12022
Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation
NT Nguyen, MN Trinh, TT Tran, VT Pham
Soft Computing: Biomedical And Related Applications, 47-57, 2021
12021
Deciphering the actin structure-dependent preferential cooperative binding of cofilin
KX Ngo, HT Vu, K Umeda, MN Trinh, N Kodera, TQP Uyeda
bioRxiv, 2023.12. 06.570358, 2023
2023
A New LCFCN-based Approach for Weakly-Supervised Fish Segmentation
VD Nguyen, MN Trinh, VT Pham, TT Tran
2022 9th NAFOSTED Conference on Information and Computer Science (NICS), 258-263, 2022
2022
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