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Do-Hai-Ninh Nham

An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation
2023 · Do-Hai-Ninh Nham, Minh-Nhat Trinh, et al. · Biomedical Signal Processing and Control · 27
An Attention-PiDi-UNet and Focal Active Contour loss for Biomedical Image Segmentation
2022 · Minh-Nhat Trinh, Do-Hai-Ninh Nham, et al. · RIVF International Conference on Computing and Communication Technologies (RIVF) · 8
GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation
2025 · Minh-Nhat Trinh, Thi-Thao Tran, et al. · Journal of Imaging Informatics in Medicine · 7
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Tversky-Kahneman: A New Loss Function for Skin Lesion Image Segmentation
2023 · Do-Hai-Ninh Nham, Minh-Nhat Trinh, et al. · Lecture notes in networks and systems · 5
A modified FCN-based method for Left Ventricle endocardium and epicardium segmentation with new block modules
2021 · Do-Hai-Ninh Nham, Minh-Nhat Trinh, et al. · NAFOSTED Conference on Information and Computer Science (NICS) · 3
A New LCFCN-based Approach for Weakly-Supervised Fish Segmentation
2022 · Do-Hai-Ninh Nham, Viet-Dung Nguyen, et al. · NAFOSTED Conference on Information and Computer Science (NICS)
U-shape-based architecture with Adjusted Bilateral Guided Aggregation Layer for nuclei image segmentation
2022 · Viet-Dung Nguyen, Do-Hai-Ninh Nham, et al. · International Conference on Communications and Electronics (ICCE)
Works count: 7
Citation count: 50
H-index: 4
I10-index: 1
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