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2020 – today
- 2024
[j15]Manh-Hung Vu
, Van-Quang Nguyen, Thi-Thao Tran, Van-Truong Pham, Men-Tzung Lo:
Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale Features. IEEE Trans. Instrum. Meas. 73: 1-18 (2024)- [i4]Viet-Thanh Nguyen, Van-Truong Pham, Thi-Thao Tran:
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation. CoRR abs/2405.03011 (2024) - [i3]Ngoc-Du Tran, Thi-Thao Tran, Quang-Huy Nguyen, Manh-Hung Vu, Van-Truong Pham:
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation. CoRR abs/2405.15779 (2024) - [i2]Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran:
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation. CoRR abs/2407.17181 (2024) - 2023
- [j14]Do-Hai-Ninh Nham, Minh-Nhat Trinh, Viet-Dung Nguyen, Van-Truong Pham, Thi-Thao Tran:
An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky-Kahneman Baroni-Urbani-Buser loss for biomedical image Segmentation. Biomed. Signal Process. Control. 83: 104631 (2023) - [j13]Thanh Viet Le, Van Yem Vu, Van-Truong Pham, Thi-Thao Tran:
A Fully Convolutional Network with Waterfall Atrous Spatial Pooling and Localized Active Contour Loss for Fish Segmentation. EAI Endorsed Trans. Ind. Networks Intell. Syst. 10(1): e4 (2023) - [j12]Thanh Viet Le, Hoang-Minh-Quang Le, Van Yem Vu, Thi-Thao Tran, Van-Truong Pham:
Attention ConvMixer Model and Application for Fish Species Classification. EAI Endorsed Trans. Ind. Networks Intell. Syst. 10(3): e2 (2023) - [j11]Thu-Hien Le, Hoang-Nhat Tran, Phuong-Dung Nguyen, Hong-Quan Nguyen, Thuy-Binh Nguyen, Thanh-Hai Tran, Hai Vu, Thi-Thao Tran, Thi-Lan Le:
Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking. Vietnam. J. Comput. Sci. 10(2): 243-271 (2023) - [c13]Binh-Duong Dinh, Thanh-Thu Nguyen, Thi-Thao Tran, Van-Truong Pham:
1M parameters are enough? A lightweight CNN-based model for medical image segmentation. APSIPA ASC 2023: 1279-1284 - [c12]Ngoc-Tu Vu, Viet-Tien Pham, Thi-Thao Tran, Van-Truong Pham:
PyBoFormer: Pyramid Selected Boundary Transformer for Polyp Segmentation. ICCAIS 2023: 194-199 - [c11]Van-Quang Nguyen, Quang-Huy Nguyen, Thi-Thao Tran:
ConvmixFormer-Unet: A New Approach for Medical Image Segmentation based on Convmixer and Transformer. ICCAIS 2023: 662-667 - [c10]Van-Quang Nguyen, Manh-Hung Vu, Van-Truong Pham, Thi-Thao Tran:
A Deep Learning Approach based on MLP-mixer Models for Bearing Fault Diagnosis. ICSSE 2023: 16-21 - [c9]Thi-Thao Tran, Dinh-Thien Vu, Thi-Hue Nguyen, Van-Truong Pham:
A CNN-Transformer-based Approach for Medical Image Segmentation. ICSSE 2023: 22-27 - [c8]Ngoc-Tu Vu, Viet-Tien Pham, Van-Truong Pham, Thi-Thao Tran:
CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images. ICSSE 2023: 33-38 - [c7]Thanh-Thu Nguyen, Binh-Duong Dinh, Thi-Thao Tran, Van-Truong Pham:
CMC-Net: A New Transformer-Based Architecture for Polyp Segmentation. RIVF 2023: 13-18 - [c6]Viet-Tien Pham, Ngoc-Tu Vu, Van-Truong Pham, Thi-Thao Tran:
CellFormer: A DaViT Transformer-Based Method for Nuclei Segmentation. RIVF 2023: 165-170 - [i1]Binh-Duong Dinh, Thanh-Thu Nguyen, Thi-Thao Tran, Van-Truong Pham:
1M parameters are enough? A lightweight CNN-based model for medical image segmentation. CoRR abs/2306.16103 (2023) - 2022
- [j10]Thi-Thao Tran, Van-Truong Pham:
Fully convolutional neural network with attention gate and fuzzy active contour model for skin lesion segmentation. Multim. Tools Appl. 81(10): 13979-13999 (2022) - [c5]Ngoc-Du Tran, Huy-Hoang Le, Van-Truong Pham, Thi-Thao Tran:
KPmixer-a ConvMixer-based Network for Finger Knuckle Print Recognition. ICCAIS 2022: 153-157 - [c4]Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran:
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation. ICCAIS 2022: 583-588 - [c3]Trung-Kien Le, Hoang-Minh-Quang Le, Thi-Thao Tran, Van-Truong Pham:
MSMA-Net: A Multi-scale Multidirectional Adaptation Network for Polyp Segmentation. RIVF 2022: 629-634 - [c2]Minh-Nhat Trinh, Do-Hai-Ninh Nham, Van-Truong Pham, Thi-Thao Tran:
An Attention-PiDi-UNet and Focal Active Contour loss for Biomedical Image Segmentation. RIVF 2022: 635-640 - 2021
- [j9]Van-Truong Pham, Thi-Thao Tran, Pa-Chun Wang, Po-Yu Chen, Men-Tzung Lo:
EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images. Artif. Intell. Medicine 115: 102065 (2021) - [j8]Van-Truong Pham, Thi-Thao Tran, Pa-Chun Wang, Men-Tzung Lo:
Tympanic membrane segmentation in otoscopic images based on fully convolutional network with active contour loss. Signal Image Video Process. 15(3): 519-527 (2021)
2010 – 2019
- 2019
- [j7]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:
Empirical Mode Decomposition and Monogenic Signal-Based Approach for Quantification of Myocardial Infarction From MR Images. IEEE J. Biomed. Health Informatics 23(2): 731-743 (2019) - 2016
- [j6]Van-Truong Pham, Thi-Thao Tran, Kuo-Kai Shyu, Chen Lin, Pa-Chun Wang, Men-Tzung Lo:
Shape collaborative representation with fuzzy energy based active contour model. Eng. Appl. Artif. Intell. 56: 60-74 (2016) - 2014
- [j5]Thi-Thao Tran, Van-Truong Pham, Kuo-Kai Shyu:
Image segmentation using fuzzy energy-based active contour with shape prior. J. Vis. Commun. Image Represent. 25(7): 1732-1745 (2014) - [j4]Van-Truong Pham, Thi-Thao Tran, Kuo-Kai Shyu, Lian-Yu Lin, Yung-Hung Wang, Men-Tzung Lo:
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. 25(8): 1967-1987 (2014) - [j3]Thi-Thao Tran, Van-Truong Pham, Kuo-Kai Shyu:
Zernike moment and local distribution fitting fuzzy energy-based active contours for image segmentation. Signal Image Video Process. 8(1): 11-25 (2014) - 2013
- [j2]Thi-Thao Tran, Van-Truong Pham, Kuo-Kai Shyu:
Moment-based alignment for shape prior with variational B-spline level set. Mach. Vis. Appl. 24(5): 1075-1091 (2013) - 2012
- [j1]Kuo-Kai Shyu, Van-Truong Pham, Thi-Thao Tran, Po-Lei Lee:
Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation. Mach. Vis. Appl. 23(6): 1159-1175 (2012)
2000 – 2009
- 2008
- [c1]Thi-Thao Tran, Po-Lei Lee, Van-Truong Pham, Kuo-Kai Shyu:
MRI image segmentation based on fast global minimization of snake model. ICARCV 2008: 1769-1772
Coauthor Index
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