MRI image segmentation based on fast global minimization of snake model. - Thi-Thao Tran; Po-Lei Lee; Van-Truong Pham; Kuo-Kai Shyu (ICARCV, 2008)

Global Minimum Torque Ripple Design for Direct Torque Control of Induction Motor Drives. - Kuo-Kai Shyu; Juu-Kuh Lin; Van-Truong Pham; Ming-Ji Yang; Te-Wei Wang (IEEE Trans. Ind. Electron., 2010)

Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation. - Kuo-Kai Shyu; Van-Truong Pham; Thi-Thao Tran; Po-Lei Lee (Mach. Vis. Appl., 2012)

Moment-based alignment for shape prior with variational B-spline level set. - Thi-Thao Tran; Van-Truong Pham; Kuo-Kai Shyu (Mach. Vis. Appl., 2013)

Image segmentation using fuzzy energy-based active contour with shape prior. - Thi-Thao Tran; Van-Truong Pham; Kuo-Kai Shyu (J. Vis. Commun. Image Represent., 2014)

Multiphase B-spline level set and incremental shape priors with applications to segmentation and tracking of left ventricle in cardiac MR images. - Van-Truong Pham; Thi-Thao Tran; Kuo-Kai Shyu; Lian-Yu Lin; Yung-Hung Wang; Men-Tzung Lo (Mach. Vis. Appl., 2014)

Zernike moment and local distribution fitting fuzzy energy-based active contours for image segmentation. - Thi-Thao Tran; Van-Truong Pham; Kuo-Kai Shyu (Signal Image Video Process., 2014)

Shape collaborative representation with fuzzy energy based active contour model. - Van-Truong Pham; Thi-Thao Tran; Kuo-Kai Shyu; Chen Lin 004; Pa-Chun Wang; Men-Tzung Lo (Eng. Appl. Artif. Intell., 2016)

Empirical Mode Decomposition and Monogenic Signal-Based Approach for Quantification of Myocardial Infarction From MR Images. - Thi-Thao Tran; Van-Truong Pham; Chen Lin 004; Hui-Wen Yang; Yung-Hung Wang; Kuo-Kai Shyu; Wen-Yih Isaac Tseng; Mao-Yuan Marine Su; Lian-Yu Lin; Men-Tzung Lo (IEEE J. Biomed. Health Informatics, 2019)

EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images. - Van-Truong Pham; Thi-Thao Tran; Pa-Chun Wang; Po-Yu Chen; Men-Tzung Lo (Artif. Intell. Medicine, 2021)

Tympanic membrane segmentation in otoscopic images based on fully convolutional network with active contour loss. - Van-Truong Pham; Thi-Thao Tran; Pa-Chun Wang; Men-Tzung Lo (Signal Image Video Process., 2021)

KPmixer-a ConvMixer-based Network for Finger Knuckle Print Recognition. - Ngoc-Du Tran; Huy-Hoang Le; Van-Truong Pham; Thi-Thao Tran (ICCAIS, 2022)

Trans2Unet: Neural fusion for Nuclei Semantic Segmentation. - Dinh-Phu Tran; Quoc-Anh Nguyen; Van-Truong Pham; Thi-Thao Tran (ICCAIS, 2022)

MSMA-Net: A Multi-scale Multidirectional Adaptation Network for Polyp Segmentation. - Trung-Kien Le 004; Hoang-Minh-Quang Le; Thi-Thao Tran; Van-Truong Pham (RIVF, 2022)

An Attention-PiDi-UNet and Focal Active Contour loss for Biomedical Image Segmentation. - Minh-Nhat Trinh; Do-Hai-Ninh Nham; Van-Truong Pham; Thi-Thao Tran (RIVF, 2022)

Fully convolutional neural network with attention gate and fuzzy active contour model for skin lesion segmentation. - Thi-Thao Tran; Van-Truong Pham (Multim. Tools Appl., 2022)

1M parameters are enough? A lightweight CNN-based model for medical image segmentation. - Binh-Duong Dinh; Thanh-Thu Nguyen; Thi-Thao Tran; Van-Truong Pham (APSIPA ASC, 2023)

MixerFormer-Covariance Metric Neural Network: A New Few-shot Learning Model for Bearing Fault Diagnosis. - Manh-Hung Vu; Van-Truong Pham (ICCAIS, 2023)

PyBoFormer: Pyramid Selected Boundary Transformer for Polyp Segmentation. - Ngoc-Tu Vu; Viet-Tien Pham; Thi-Thao Tran; Van-Truong Pham (ICCAIS, 2023)

A Deep Learning Approach based on MLP-mixer Models for Bearing Fault Diagnosis. - Van-Quang Nguyen; Manh-Hung Vu; Van-Truong Pham; Thi-Thao Tran (ICSSE, 2023)

A CNN-Transformer-based Approach for Medical Image Segmentation. - Thi-Thao Tran; Dinh-Thien Vu; Thi-Hue Nguyen; Van-Truong Pham (ICSSE, 2023)

CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images. - Ngoc-Tu Vu; Viet-Tien Pham; Van-Truong Pham; Thi-Thao Tran (ICSSE, 2023)

CMC-Net: A New Transformer-Based Architecture for Polyp Segmentation. - Thanh-Thu Nguyen; Binh-Duong Dinh; Thi-Thao Tran; Van-Truong Pham (RIVF, 2023)

CellFormer: A DaViT Transformer-Based Method for Nuclei Segmentation. - Viet-Tien Pham; Ngoc-Tu Vu; Van-Truong Pham; Thi-Thao Tran (RIVF, 2023)

Attention ConvMixer Model and Application for Fish Species Classification. - Thanh Viet Le; Hoang-Minh-Quang Le; Van Yem Vu; Thi-Thao Tran; Van-Truong Pham (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2023)

A Fully Convolutional Network with Waterfall Atrous Spatial Pooling and Localized Active Contour Loss for Fish Segmentation. - Thanh Viet Le; Van Yem Vu; Van-Truong Pham; Thi-Thao Tran (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2023)

An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky-Kahneman Baroni-Urbani-Buser loss for biomedical image Segmentation. - Do-Hai-Ninh Nham; Minh-Nhat Trinh; Viet-Dung Nguyen; Van-Truong Pham; Thi-Thao Tran (Biomed. Signal Process. Control., 2023)

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation. - Viet-Thanh Nguyen; Van-Truong Pham; Thi-Thao Tran (CoRR, 2024)

MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation. - Thi-Nhu-Quynh Nguyen; Quang-Huy Ho; Duy-Thai Nguyen; Hoang-Minh-Quang Le; Van-Truong Pham; Thi-Thao Tran (CoRR, 2024)

Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale Features. - Manh-Hung Vu; Van-Quang Nguyen; Thi-Thao Tran; Van-Truong Pham; Men-Tzung Lo (IEEE Trans. Instrum. Meas., 2024)

Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation. - Quang-Huy Ho; Thi-Nhu-Quynh Nguyen; Duy-Thai Nguyen; Minh-Quang Phan; Thi-Thao Tran; Van-Truong Pham (IUKM (1), 2025)

LiteNeXt: A novel lightweight ConvMixer-based model with Self-embedding Representation Parallel for medical image segmentation. - Ngoc-Du Tran; Thi-Thao Tran; Quang-Huy Nguyen; Manh-Hung Vu; Van-Truong Pham (Biomed. Signal Process. Control., 2025)

SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention for bearing fault diagnosis. - Gia-Bao Truong; Thi-Thao Tran; Nhu-Linh Than; Van Quang Nguyen; Thi Hue Nguyen; Van-Truong Pham (Comput. Electr. Eng., 2025)

Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis. - Nhu-Linh Than; Van Quang Nguyen; Gia-Bao Truong; Van-Truong Pham; Thi-Thao Tran (Appl. Intell., 2025)

DermoMamba: a cross-scale Mamba-based model with guide fusion loss for skin lesion segmentation in dermoscopy images. - Ngoc-Khai Hoang; Dinh-Hieu Nguyen; Thi-Thao Tran; Van-Truong Pham (Pattern Anal. Appl., 2025)