Van-Truong Pham

45 papers C 1Journal 31Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	1S-MambaMatch: A semi-supervised and One-shot learning framework with Multi-input Visual State Space Model for skin lesion segmentation. Biomed. Signal Process. Control. Viet-Thanh Nguyen, Gia-Bao Truong, Van-Truong Pham, Thi-Thao Tran
2025	J	`jnl`	A dense attention Mamba-based network with Adaptive Sigmoid Fowlkes-Mallows Loss for enhanced medical image segmentation. Image Vis. Comput. Van Quang Nguyen, Thi-Thao Tran, Gia-Bao Truong, Nhu-Linh Than, Ngoc-Khai Hoang, Dinh-Hieu Nguyen, Van-Truong Pham
2025	J	`jnl`	CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation. J. Imaging Inform. Medicine Viet-Tien Pham, Tu Ngoc Vu, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran
2025	J	`jnl`	DermoMamba: a cross-scale Mamba-based model with guide fusion loss for skin lesion segmentation in dermoscopy images. Pattern Anal. Appl. Ngoc-Khai Hoang, Dinh-Hieu Nguyen, Thi-Thao Tran, Van-Truong Pham
2025	J	`jnl`	GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation. J. Imaging Inform. Medicine Minh-Nhat Trinh, Thi-Thao Tran, Do-Hai-Ninh Nham, Men-Tzung Lo, Van-Truong Pham
2025	—	`conf`	Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation. IUKM (1) Quang-Huy Ho, Thi-Nhu-Quynh Nguyen, Duy-Thai Nguyen, Minh-Quang Phan, Thi-Thao Tran, Van-Truong Pham
2025	J	`jnl`	LiteNeXt: A novel lightweight ConvMixer-based model with Self-embedding Representation Parallel for medical image segmentation. Biomed. Signal Process. Control. Ngoc-Du Tran, Thi-Thao Tran, Quang-Huy Nguyen, Manh-Hung Vu, Van-Truong Pham
2025	J	`jnl`	MLFork: Bearing fault diagnosis via Mamba-powered few-shot learning model with multi-level architecture enhanced by spatial-wise and channel-wise local vector attention. Neurocomputing Duy-Thai Nguyen, Van-Quoc-Viet Nguyen, Thi-Thao Tran, Van-Truong Pham
2025	J	`jnl`	Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis. Appl. Intell. Nhu-Linh Than, Van Quang Nguyen, Gia-Bao Truong, Van-Truong Pham, Thi-Thao Tran
2025	J	`jnl`	Multiple Local-Global Correlation-Based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis. Cogn. Comput. Van-Quang Nguyen, Thi-Thao Tran, Manh-Hung Vu, Van-Truong Pham, Men-Tzung Lo
2025	J	`jnl`	ResMamba-ULite: A lightweight model for medical image segmentation with residual visual state space and multiple attention. Multim. Tools Appl. Dinh-Hieu Nguyen, Ngoc-Khai Hoang, Van-Truong Pham, Thi-Thao Tran
2025	J	`jnl`	SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention for bearing fault diagnosis. Comput. Electr. Eng. Gia-Bao Truong, Thi-Thao Tran, Nhu-Linh Than, Van Quang Nguyen, Nguyen Thi Hue, Van-Truong Pham
2024	J	`jnl`	AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation. CoRR Viet-Thanh Nguyen, Van-Truong Pham, Thi-Thao Tran
2024	J	`jnl`	Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale Features. IEEE Trans. Instrum. Meas. Manh-Hung Vu, Van-Quang Nguyen, Thi-Thao Tran, Van-Truong Pham, Men-Tzung Lo
2024	J	`jnl`	LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation. CoRR Ngoc-Du Tran, Thi-Thao Tran, Quang-Huy Nguyen, Manh-Hung Vu, Van-Truong Pham
2024	J	`jnl`	MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation. CoRR Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Duy-Thai Nguyen, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran
2024	J	`jnl`	Trans2Unet: Neural fusion for Nuclei Semantic Segmentation. CoRR Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran
2023	—	`conf`	1M parameters are enough? A lightweight CNN-based model for medical image segmentation. APSIPA ASC Binh-Duong Dinh, Thanh-Thu Nguyen, Thi-Thao Tran, Van-Truong Pham
2023	J	`jnl`	1M parameters are enough? A lightweight CNN-based model for medical image segmentation. CoRR Binh-Duong Dinh, Thanh-Thu Nguyen, Thi-Thao Tran, Van-Truong Pham
2023	—	`conf`	A CNN-Transformer-based Approach for Medical Image Segmentation. ICSSE Thi-Thao Tran, Dinh-Thien Vu, Thi-Hue Nguyen, Van-Truong Pham
2023	—	`conf`	A Deep Learning Approach based on MLP-mixer Models for Bearing Fault Diagnosis. ICSSE Van-Quang Nguyen, Manh-Hung Vu, Van-Truong Pham, Thi-Thao Tran
2023	J	`jnl`	A Fully Convolutional Network with Waterfall Atrous Spatial Pooling and Localized Active Contour Loss for Fish Segmentation. EAI Endorsed Trans. Ind. Networks Intell. Syst. Thanh Viet Le, Van Yem Vu, Van-Truong Pham, Thi-Thao Tran
2023	J	`jnl`	An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky-Kahneman Baroni-Urbani-Buser loss for biomedical image Segmentation. Biomed. Signal Process. Control. Do-Hai-Ninh Nham, Minh-Nhat Trinh, Viet-Dung Nguyen, Van-Truong Pham, Thi-Thao Tran
2023	J	`jnl`	Attention ConvMixer Model and Application for Fish Species Classification. EAI Endorsed Trans. Ind. Networks Intell. Syst. Thanh Viet Le, Hoang-Minh-Quang Le, Van Yem Vu, Thi-Thao Tran, Van-Truong Pham
2023	—	`conf`	CMC-Net: A New Transformer-Based Architecture for Polyp Segmentation. RIVF Thanh-Thu Nguyen, Binh-Duong Dinh, Thi-Thao Tran, Van-Truong Pham
2023	—	`conf`	CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images. ICSSE Ngoc-Tu Vu, Viet-Tien Pham, Van-Truong Pham, Thi-Thao Tran
2023	—	`conf`	CellFormer: A DaViT Transformer-Based Method for Nuclei Segmentation. RIVF Viet-Tien Pham, Ngoc-Tu Vu, Van-Truong Pham, Thi-Thao Tran
2023	—	`conf`	MixerFormer-Covariance Metric Neural Network: A New Few-shot Learning Model for Bearing Fault Diagnosis. ICCAIS Manh-Hung Vu, Van-Truong Pham
2023	—	`conf`	PyBoFormer: Pyramid Selected Boundary Transformer for Polyp Segmentation. ICCAIS Ngoc-Tu Vu, Viet-Tien Pham, Thi-Thao Tran, Van-Truong Pham
2022	—	`conf`	An Attention-PiDi-UNet and Focal Active Contour loss for Biomedical Image Segmentation. RIVF Minh-Nhat Trinh, Do-Hai-Ninh Nham, Van-Truong Pham, Thi-Thao Tran
2022	J	`jnl`	Fully convolutional neural network with attention gate and fuzzy active contour model for skin lesion segmentation. Multim. Tools Appl. Thi-Thao Tran, Van-Truong Pham
2022	—	`conf`	KPmixer-a ConvMixer-based Network for Finger Knuckle Print Recognition. ICCAIS Ngoc-Du Tran, Huy-Hoang Le, Van-Truong Pham, Thi-Thao Tran
2022	—	`conf`	MSMA-Net: A Multi-scale Multidirectional Adaptation Network for Polyp Segmentation. RIVF Trung-Kien Le, Hoang-Minh-Quang Le, Thi-Thao Tran, Van-Truong Pham
2022	—	`conf`	Trans2Unet: Neural fusion for Nuclei Semantic Segmentation. ICCAIS Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran
2021	J	`jnl`	EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images. Artif. Intell. Medicine Van-Truong Pham, Thi-Thao Tran, Pa-Chun Wang, Po-Yu Chen, Men-Tzung Lo
2021	J	`jnl`	Tympanic membrane segmentation in otoscopic images based on fully convolutional network with active contour loss. Signal Image Video Process. Van-Truong Pham, Thi-Thao Tran, Pa-Chun Wang, Men-Tzung Lo
2019	J	`jnl`	Empirical Mode Decomposition and Monogenic Signal-Based Approach for Quantification of Myocardial Infarction From MR Images. IEEE J. Biomed. Health Informatics Thi-Thao Tran, Van-Truong Pham, Chen Lin, Hui-Wen Yang, Yung-Hung Wang, Kuo-Kai Shyu, Wen-Yih Isaac Tseng, Mao-Yuan Marine Su, Lian-Yu Lin, Men-Tzung Lo
2016	J	`jnl`	Shape collaborative representation with fuzzy energy based active contour model. Eng. Appl. Artif. Intell. Van-Truong Pham, Thi-Thao Tran, Kuo-Kai Shyu, Chen Lin, Pa-Chun Wang, Men-Tzung Lo
2014	J	`jnl`	Image segmentation using fuzzy energy-based active contour with shape prior. J. Vis. Commun. Image Represent. Thi-Thao Tran, Van-Truong Pham, Kuo-Kai Shyu
2014	J	`jnl`	Multiphase B-spline level set and incremental shape priors with applications to segmentation and tracking of left ventricle in cardiac MR images. Mach. Vis. Appl. Van-Truong Pham, Thi-Thao Tran, Kuo-Kai Shyu, Lian-Yu Lin, Yung-Hung Wang, Men-Tzung Lo
2014	J	`jnl`	Zernike moment and local distribution fitting fuzzy energy-based active contours for image segmentation. Signal Image Video Process. Thi-Thao Tran, Van-Truong Pham, Kuo-Kai Shyu
2013	J	`jnl`	Moment-based alignment for shape prior with variational B-spline level set. Mach. Vis. Appl. Thi-Thao Tran, Van-Truong Pham, Kuo-Kai Shyu
2012	J	`jnl`	Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation. Mach. Vis. Appl. Kuo-Kai Shyu, Van-Truong Pham, Thi-Thao Tran, Po-Lei Lee
2010	J	`jnl`	Global Minimum Torque Ripple Design for Direct Torque Control of Induction Motor Drives. IEEE Trans. Ind. Electron. Kuo-Kai Shyu, Juu-Kuh Lin, Van-Truong Pham, Ming-Ji Yang, Te-Wei Wang
2008	C	`conf`	MRI image segmentation based on fast global minimization of snake model. ICARCV Thi-Thao Tran, Po-Lei Lee, Van-Truong Pham, Kuo-Kai Shyu