CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation
2024 · Journal of Imaging Informatics in Medicine · 13 citations
https://doi.org/10.1007/s10278-024-01191-x
V
Van-Truong Pham
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Van-Truong Pham is an academic researcher from Hanoi University of Science and Technology. The author has contributed to research in topics: Advanced Neural Network Applications & Medical Image Segmentation Techniques & AI in cancer detection. The author has an h-index of 16, co-authored 97 publications.
ORCID: 0000-0003-3489-0569Papers by this author
worksLiteMamba-Bound: A lightweight Mamba-based model with boundary-aware and normalized active contour loss for skin lesion segmentation
2025 · Methods · 13 citations
https://doi.org/10.1016/j.ymeth.2025.01.008
Endocardial Remodeling in Heart Failure Patients with Impaired and Preserved Left Ventricular Systolic Function-A Magnetic Resonance Image Study
2016 · Scientific Reports · 8 citations
https://doi.org/10.1038/srep20868
DermoMamba: a cross-scale Mamba-based model with guide fusion loss for skin lesion segmentation in dermoscopy images
2025 · Pattern Analysis and Applications · 4 citations
https://doi.org/10.1007/s10044-025-01506-w
PHS-Net: convolution and transformer dual-path with selective feature fusion for medical image segmentation
2025 · Engineering Research Express · 0 citations
https://doi.org/10.1088/2631-8695/adebe0
1S-MambaMatch: A semi-supervised and One-shot learning framework with Multi-input Visual State Space Model for skin lesion segmentation
2026 · Biomedical Signal Processing and Control · 0 citations
https://doi.org/10.1016/j.bspc.2026.109875
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