Thi-Thao Tran homepage

Research Interests

Image segmentation and visual tracking

Object recognition and image classification 

Biomedical signal processing

Wearable devices for heart rate monitoring

Noninvasive ECG imaging

Publications     Google Scholar

Journal papers:

Duy-Thai Nguyen, Van-Quoc-Viet Nguyen, Thi-Thao Tran, Van-Truong Pham, "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, (Accepted), September, 2025. 

Van-Quang Nguyen, Thi-Thao Tran, Manh-Hung Vu, Van-Truong Pham, Men-Tzung Lo, "Multiple Local-Global Correlation-based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis," Cognitive Computation, (Accepted), September, 2025. 

Dinh-Hieu Nguyen, Ngoc-Khai Hoang, Van-Truong Pham, Thi-Thao Tran*,, "ResMamba-ULite: A Lightweight Model for Medical Image Segmentation with Residual Visual State Space and Multiple Attention," Multimedia Tools and Applications, (Accepted), August, 2025.  

Viet-Thanh Nguyen, Van-Truong Pham, Thi-Thao Tran*,  "PHS-Net: Convolution and Transformer Dual-path with Selective Feature Fusion for Medical Image Segmentation," Engineering Research Express, July, 2025.  Link to IOP. 

Ngoc-Khai Hoang, Dinh-Hieu Nguyen, Thi-Thao Tran, Van-Truong Pham, "DermoMamba: A Cross-Scale Mamba-based Model with Guide Fusion Loss for Skin Lesion Segmentation in Dermoscopy Images," Pattern Analysis and Applications, (Accepted), June, 2025.  Python code.

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," Biomedical Signal Processing and Control, vol. 107, Sep. 2025. Link to Elsevier, Python code.

Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Van Quang Nguyen, Van-Truong Pham, Thi-Thao Tran, "ADC-MambaNet: A Lightweight U-Shaped Architecture with Mamba and Multi-Dimensional Priority Attention for Medical Image Segmentation," Biomedical Physics & Engineering Express, (Accepted), May, 2025.  Python code.

Nhu-Linh Than, Van Quang Nguyen, Gia-Bao Truong, Van-Truong Pham, Thi-Thao Tran*, "MixMamba-Fewshot: Mamba and Attention Mixer-based Method with Few-Shot Learning for Bearing Fault Diagnosis," Applied Intelligence , Feb. 2025. Python Code 

Quang-Huy Ho, Thi-Nhu-Quynh Nguyen, Thi-Thao Tran, Van-Truong Pham*, "LiteMamba-Bound: A Lightweight Mamba-based Model with Boundary-Aware and Normalized Active Contour Loss for Skin Lesion Segmentation," Methods (Accepted), Jan. 2025. Python Code 

Gia-Bao Truong, Thi-Thao Tran*,, Nhu-Linh Than, Van Quang Nguyen, Thi Hue Nguyen, Van-Truong Pham*, "SC-MambaFew: Few-Shot Learning based on Mamba and Selective Spatial-Channel Attention for Bearing Fault Diagnosis," Computers and Electrical Engineering, vol. 123, April 2025. Link to Elsevier,Python Code 

Minh-Nhat Trinh, Thi-Thao Tran, Do-Hai-Ninh Nham, Men-Tzung Lo, Van-Truong Pham*, "GLAC-Unet: Global- Local Active Contour Loss with An Efficient U-shaped Architecture for Multiclass Medical Image Segmentation," Journal of Imaging Informatics in Medicine, Jan. 2025. Link to Springer  Python Code 

Manh-Hung Vu, Thi-Thao Tran, Van-Truong Pham*, Men-Tzung Lo, "Multi-level Few-Shot Model with Selective Aggregation Feature for Bearing Fault Diagnosis under Limited Data Condition," IEEE Sensors Letters, vol. 9, no. 1, 2025. Link to IEEE, Python code

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 Transactions on Instrumentation and Measurement, Volume 73, 2024 . Link to IEEE , Python 

Thi Hue Nguyen, Vuong Viet Hung, Dao Duc Thinh, Thi-Thao Tran*, Hoang Si Hong*, "Generalized Simulation-Based Domain Adaptation Approach for Intelligent Bearing Fault Diagnosis," Arabian Journal for Science and Engineering, July 2024.Link to Springer 

Tien-Viet Pham, Tu-Ngoc Vu, Hoang-Minh-Quang Le, Van-Truong Pham,  Thi-Thao Tran*, "CapNet: An Automatic Attention-based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation," Journal of Imaging Informatics in Medicine, May 2024.Link to Springer 

Do-Hai-Ninh Nham, Minh-Nhat Trinh, Viet-Dung Nguyen, Van-Truong Pham*, Thi-Thao Tran*, "An EfficientNet-encoder U-Net Joint Residual Refinement Module with Tversky-Kahneman Baroni–Urbani–Buser Loss for Biomedical Image Segmentation," Biomedical Signal Processing and Control, vol 83, 2023. Link to Elsevier , Python 

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 Transactions on Industrial Networks and Intelligent Systems , vol 10, No 3, 2023. Link

Thi-Thao Tran, Van-Truong Pham, "Fully Convolutional Neural Network with Attention Gate and Fuzzy Active Contour Model for Skin Lesion Segmentation," Multimedia Tools and Applications, vol. 81, pp. 13979-13999, 2022. [Link to Springer] 

Thu-Hien Le, Hoang-Nhat Tran, Phuong-Dung Nguyen, Hong-Quan Nguyen, Thuy-Binh Nguyen, Thanh-Hai Tran, Hai Vu, Thi-Thao Tran and Thi-Lan Le, "Spatial and Temporal Hand Raising Recognition from Classroom Videos using Locality, Relative Position Aware Non-local Networks and Hand Tracking," Vietnam Journal of Computer Science, (accepted), August 2022.[Link to WS]

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," Artificial Intelligence In Medicine, vol 115, 102065, May 2021.[Link to Elsevier]

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 and Video Processing, vol. 15, no. 3, pp. 519–527, 2021.[Link to Springer]

Van-Truong Pham, Chen Lin, Thi-Thao Tran, Mao-Yuan Su, Ying-Kuang Lin, Chun-Tung Nien, Wen-Yih Tseng,  Jiunn-Lee Lin, Men-Tzung Lo,  Lian-Yu Lin, "Predicting Ventricular Tachyarrhythmia in Patients with Systolic Heart Failure based on Texture Features of the Gray Zone from Contrast-Enhanced Magnetic Resonance Imaging," Journal of Cardiology, vol 76(6), pp.601-609, December, 2020. [Link to Elsevier]

Chen Lin, Pei-Feng Lin, Chen-Hsu Wang, Chung-Hau Juan, Thi-Thao Tran, Van-Truong Pham, Chun-Tung Nien, Yenn-Jiang Lin, Cheng-Yen Wang, Chien-Hung Yeh, Men-Tzung Lo, "Probing age-related changes in cardio-respiratory dynamics by multimodal couping assessment," Chaos: An Interdisciplinary Journal of Nonlinear Science, vol 30 (3), pp. 1-15, 2020. [Link to AIP]

Thi-Thao Tran, Van-Truong Pham, Chen Lin, Hui-Wen Yang, Yung-Hung Wang, Kuo-Kai Shyu, Wen-Yih Tseng, Mao-Yuan Su, Lian-Yu Lin, Men-Tzung Lo, "Empirical Mode Decomposition and Monogenic Signal based Approach for Quantification of Myocardial Infarction from MR Images," IEEE Journal of Biomedical and Health Informatics, vol 23 (2),pp. 731-743, March 2019. [Link to IEEE]

Thi-Thao Tran, Te-Yung Fang, Van-Truong Pham, Chen Lin, Pa-Chun Wang, Men-Tzung Lo, "Development of an Automatic Diagnostic Algorithm for Pediatric Otitis Media," Otology & Neurotology, vol 39 (8), pp.1060-1065, September, 2018. [Link to Publisher]

Hsu-Wen V.Young, Ke-Hsin Hsu, Van-Truong Pham, Thi-Thao Tran, Men-Tzung Lo, “A new approach to sparse decomposition of nonstationary signals with multiple scale structures using self-consistent nonlinear waves,” Physica A: Statistical Mechanics and its Applications, vol.481, pp.1-10, 1 September 2017. [Link to Elsevier],  Matlab code

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,” Engineering Applications of Artificial Intelligence, vol.56, pp.60-74, 2016. [Link to Elsevier]

Lian-Yu Lin, Mao-Yuan Su, Van-Truong Pham, Thi-Thao Tran, Yung-Hung Wang, Wen-Yih Tseng, Men-Tzung Lo, Jiunn-Lee Lin, “Endocardial Remodeling in Heart Failure Patients with Impaired and Preserved Left Ventricular Systolic Function-A Magnetic Resonance Image Study,” Scientific Reports, (DOI: 10.1038/srep20868), 2016. [Link to Nature]

Van-Truong Pham, Thi-Thao Tran, “Active contour model and nonlinear shape priors with application to left ventricle segmentation in cardiac MR images,” Optik-International Journal for Light and Electron Optics, vol.127, no.3, pp. 991-1002, 2016. [Link to Elsevier]

Karianto Karianto, Weiting Chen,Van-Truong Pham, Thi-Thao Tran, Erik Alonso, Dana Give, Chen-Lin, Anna Marie Chang, Mohamud Daya, Hui-Chih Wang, Wen-Chu Chiang, Men-Tzung Lo, Matthew Huei-Ming Ma, “Single Channel ECG based Resuscitation Quality Assessment via Hilbert-Huang Spectrum Analysis”,   Resuscitation, vol 106, e35,  2016. [Link to Elsevier]

Thi-Thao Tran, Van-Truong Pham, and Kuo-Kai Shyu, “Image Segmentation using Fuzzy Energy-based Active Contour with Shape Prior,” Journal of Visual Communication and Image Representation, vol.25, no.7, pp. 1732-1745, 2014. [Link to Elsevier]           

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,”  Machine Vision and  Applications, vol. 25, no. 8, pp. 1967-1987, 2014. [Link to Springer]

Thi-Thao Tran, Van-Truong Pham, and Kuo-Kai Shyu, “Zernike Moment and Local  Distribution Fuzzy Energy based Active Contours for Image Segmentation,”  Signal, Image  and Video Processing, vol. 8, no. 1, pp. 11-25, 2014. [Link to Springer]

Yi-Chung Chang, Leh-Kiong Huo, Van-Truong Pham, Yunn-Jy Chen , Sun-Fen Chen, Tiffany-Ting-Fang Shih,  Thi-Thao Tran, Yung-Hung Wang, Chen Lin , Jenho Tsao,  Men-Tzung Lo,  Pa-Chun Wang, “Synchronized imaging and acoustic analysis of the upper airway in patients with sleep-disordered breathing”,  Physiological Measurement, vol. 35, no.12, pp. 2501-2512, 2014. [Link to IOP]

 Thi-Thao Tran, Van-Truong Pham, and Kuo-Kai Shyu, “Moment-based Alignment for Shape Prior with Variational B-Spline Level Set”, Machine Vision and Applications,  Vol. 24, No.5, pp.1075- 1091, Jul. 2013. [Link to Springer]

 Kuo-Kai Shyu, Juu-Kuh Lin, Van-Truong Pham, Thi-Thao Tran, and Li-Jen Shang, “Evolution  of Local to Global Minimum Torque Ripples of Direct Torque Control for Induction Motor  Drives”,  Journal of the Chinese Institute of Engineers ,vol. 36, no. 5, pp. 608-615, 2013. [Link to Taylor & Francis]

Kuo-Kai Shyu, Thi-Thao Tran, Van-Truong Pham, Po-Lei Lee, and Li-Jen Shang, “Fuzzy  Distribution Fitting Energy-based Active Contours for Image Segmentation”, Nonlinear  Dynamics, Vol. 69. No. 1-2, pp. 295-312, Jul. 2012.[Link to Springer]

 Kuo-Kai Shyu, Van-Truong Pham, Thi-Thao Tran, and Po-Lei Lee, “Unsupervised Active  Contours Driven by Density Distance  and Local Fitting Energy with Applications to Medical Image Segmentation”,  Machine Vision and Applications , Vol. 23, No.6, pp.1159- 1175, Nov. 2012.[Link to Springer]

Kuo-Kai Shyu, Van-Truong Pham, Thi-Thao Tran, and Po-Lei Lee, “Global and Local Fuzzy  Energy-based Active Contours for Image Segmentation”, Nonlinear Dynamics, Vol. 67, No. 2, pp. 1559-1578, Jan. 2012. [Link to Springer]      

Conference papers:

Hong-Anh Dang, Quoc-Anh Nguyen, Thi-Thao Tran, Van-Truong Pham, "An Attention-Augmented Mamba Framework Based on Few-Shot Learning for Bearing Fault Diagnosis ," International Conference on Explainable Intelligence in Digital Twins (EIDT), (Accepted), 2025.

Van-Danh Le, Phuong-Nam Nguyen, Luong-Thanh-Duc Ha, Van-Truong Pham, Thi-Thao Tran, "A Few-Shot Learning Framework for Palmprint Recognition with Mamba-Convolution Integration," International Conference on Explainable Intelligence in Digital Twins (EIDT), (Accepted), 2025.

Duy-Thai Nguyen, Van-Quoc-Viet Nguyen, Thi-Thao Tran, Van-Truong Pham, "CBSSNet: A Semi-Supervised Medical Image Segmenting Algorithm with Teacher-Student Binding via Cosine dissimilarity," The 2nd International Conference on Health Science and Technology (ICHST-2025), (Accepted), 2025.

Minh-Ngoc Luong, Minh Le, Van-Truong Pham,Thi-Thao Tran, "CTM-PolypNet: A Unified Convolution-Transformer-Mamba Model for Polyp Segmentation," The 2nd International Conference on Health Science and Technology (ICHST-2025), (Accepted), 2025.

Van-Quoc-Viet Nguyen, Duy-Thai Nguyen, Van-Truong Pham, Thi-Thao Tran, "Bi-CovaSC: A Few-Shot Learning Model with Multi-Scale Feature and Covariance Bi-Metric Learning for Bearing Fault Diagnosis," 10th Conference on Applying new Technology in Green Buildings (ATiGB 2025), (Accepted), 2025.

Tung-Lam Tran, Minh-Tuan Pham, Thi-Thao Tran, Van-Truong Pham, "Polyp Segmentation with Transformer-CNN Integration and Multi-Scale Feature Fusion," 10th Conference on Applying new Technology in Green Buildings (ATiGB 2025), (Accepted), 2025.

Van Quang Nguyen, Tung-Lam Tran, Thi-Nhu-Quynh Nguyen, Van-Truong Pham, "PolyPVT-MambaNet: A Multi-Scale Attention and Mamba-Enhanced Framework for Polyp Segmentation," 14th Conference on Information Technology and its Applications  (CITA) (Accepted), 2025.

Minh Le, Minh-Ngoc Luong, Thi-Thao Tran, "MambaFusionSeg: A Hybrid Model with Channel-Partitioned Mamba and Spatially Adaptive Attention for Enhanced Skin Lesion Segmentation," 14th Conference on Information Technology and its Applications  (CITA) (Accepted), 2025.

Ngoc-Khai Hoang, Dinh-Hieu Nguyen, Thi-Thao Tran, Van-Truong Pham, "A Lightweight Hybrid CNN-Mamba Model with Dual Attention for Efficient Medical Image Segmentation," 14th Conference on Information Technology and its Applications  (CITA) (Accepted), 2025.

Quang-Huy Ho, Thi-Nhu-Quynh Nguyen, Duy-Thai Nguyen, Minh-Quang Phan, Thi-Thao Tran, Van-Truong Pham, "Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation," The 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making  (IUKM), 2025. Link to Springer 

Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Duy-Thai Nguyen, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran, "MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation," The fifth International Conference on Intelligent Systems & Networks (ICISN) (Accepted), 2025. ArXiv  Python code  

Dinh-Hieu Nguyen, Ngoc-Khai Hoang, Van-Truong Pham, Thi-Thao Tran, "Polyp Segmentation based on Mamba-MLP Mixer and Transformer," The fifth International Conference on Intelligent Systems & Networks (ICISN) (Accepted), 2025.

Manh-Hung Vu, Du-Ngoc Tran, Hoang-Minh-Quang Le, Thi-Thao Tran, Van-Truong Pham, "MCST-Net: A Multi-Cross-Spatial attention U-net with Transformer block for Skin Lesion Segmentation," 13th Conference on Information Technology and its Applications  (CITA), 2024. Link to Springer (Regular Best Paper Award). 

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," Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),  2023. Link to IEEE (Cited by 32).

Viet-Thanh Nguyen, Van-Truong Pham, Thi-Thao Tran, "AC-MambaSeg: An Adaptive Convolution and Mamba-based Architecture for Enhanced Skin Lesion Segmentation," 7th International Conference on Green Technology and Sustainable Development (GTSD), 2024, Link to Springer  (Cited by 9). Arxiv Preprint pdf   Python code 

Gia-Bao Truong, Nhu-Linh Than, Manh-Hung Vu, Van-Truong Pham, Thi Hue Nguyen, Thi-Thao Tran, "A Bearing Fault Diagnosis Framework based on Few-Shot Learning with Distribution Consistency and Structural Reparameterization," 7th International Conference on Green Technology and Sustainable Development (GTSD), 2024.  Link to Springer

Viet-Tien Pham, Ngoc-Tu Vu, Van-Truong Pham, Thi-Thao Tran, "A Lightweight-based Architecture for Nuclei Segmentation in Histopathology Images," 13th Conference on Information Technology and its Applications  (CITA), (Accepted),  2024.

Thanh-Thu Nguyen, Binh-Duong Dinh, Van-Truong Pham, Thi-Thao Tran, "CMC-Net: A New Transformer-based Architecture for Polyp Segmentationt," 16th International Conference on Computing and Communication Technologies (RIVF 2023), 2023. Python code 

Viet-Tien Pham, Ngoc-Tu Vu, Van-Truong Pham, Thi-Thao Tran, "CellFormer: A DaViT Transformer-based method for Nuclei Segmentation," 16th International Conference on Computing and Communication Technologies (RIVF 2023), 2023. 

Ngoc-Tu Vu, Viet-Tien Pham, Thi-Thao Tran, Van-Truong Pham, "PyBoFormer: Pyramid Selected Boundary Transformer for Polyp Segmentation," 12th International Conference on Control, Automation and Information Sciences (ICCAIS), 2023. 

Van-Quang Nguyen, Quang-Huy Nguyen, Van-Truong Pham, Thi-Thao Tran, "ConvmixFormer-Unet: A New Approach for Medical Image Segmentation based on Convmixer and Transformer," 12th International Conference on Control, Automation and Information Sciences (ICCAIS), 2023.

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," Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),  2023, Link. Python code 

Thi-Thao Tran, Dinh-Thien Vu, Thi Hue Nguyen, Van-Truong Pham, "A CNN-Transformer-based Approach for Medical Image Segmentation," International Conference on System Science and Engineering (ICSSE), 2023. Link to IEEE. 

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," International Conference on System Science and Engineering (ICSSE), 2023. Link to IEEE.

Ngoc-Tu Vu, Viet-Tien Pham, Van-Truong Pham, Thi-Thao Tran, "CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images," International Conference on System Science and Engineering (ICSSE), 2023. Link to IEEE. Python code 

Manh-Hung Vu, Van-Quang Nguyen, Van-Truong Pham, Thi-Thao Tran, "A New ConvMixer-based Approach for Diagnosis of Fault Bearing using Signal Spectrum," 12th Conference on Information Technology and its Applications  (CITA), 2023. Link to Springer.  Python code 

Hoang-Minh-Quang Le, Trung-Kien Le, Van-Truong Pham, Thi-Thao Tran, "AMG-Mixer: A Multi-Axis Attention MLP-Mixer Architecture for Biomedical Image Segmentation" 12th Conference on Information Technology and its Applications  (CITA), 2023. Link to Springer.  Python code 

Ngoc-Du Tran, Dinh-Quoc-Dai Nguyen, Ngoc-Linh-Chi Nguyen, Van-Truong Pham, Thi-Thao Tran, "A Multi Context Decoder-based Network with Applications for Polyp Segmentation in Colonoscopy Images," 12th Conference on Information Technology and its Applications  (CITA), 2023. Link to Springer. Python code 

Hoang-Minh-Quang Le, Trung-Kien Le, Van-Truong Pham, Thi-Thao Tran, "AMG-Mixer: A Multi-Axis Attention MLP-Mixer Architecture for Biomedical Image Segmentation" 12th Conference on Information Technology and its Applications  (CITA), 2023.,Springer Link , Python  

Trung-Kien Le, Hoang-Minh-Quang Le, Thi-Thao Tran, Van-Truong Pham, "MSMA-Net: A Multi-scale Multidirectional Adaptation Network for Polyp Segmentation," 16th International Conference on Computing and Communication Technologies (RIVF 2022), 2022 Link to IEEE, Python 

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," 16th International Conference on Computing and Communication Technologies (RIVF 2022), 2022 Link to IEEE. Python 

Quang-Vinh Nguyen, Thi-Thao Tran, Van-Truong Pham, "GCA-Net: Geometrical Constraints-Based Advanced Network for Polyp Segmentation," 9h NAFOSTED Conference on Information and Computer Science 2022 (NICS'22), 2022 Link to IEEE

Do-Hai-Ninh Nham, Viet-Dung Nguyen, Minh-Nhat Trinh, Van-Truong Pham, Thi-Thao Tran "A New LCFCN-Based Approach for Weakly-Supervised Fish Segmentation," 9h NAFOSTED Conference on Information and Computer Science 2022 (NICS'22), 2022 Link to IEEE.

Ngoc-Du Tran, Huy-Hoang Le, Van-Truong Pham, Thi-Thao Tran, "KPmixer-A ConvMixer-Based Network for Finger Knuckle Print Recognition," 11th International Conference on Control, Automation and Information Sciences (ICCAIS), 2022 Link to IEEE .

Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham, Thi-Thao Tran, "Trans2Unet: Neural Fusion for Nuclei Semantic Segmentation," 11th International Conference on Control, Automation and Information Sciences (ICCAIS), 2022 Link to IEEE.

Quang-Vinh Nguyen, Thi-Thao Tran, Van-Truong Pham, "FCMD-Net: A Full-Connection Multi-Decoder Network for Polyp Segmentation," 6th International Conference on Green Technology and Sustainable Development (GTSD), 2022 Link to IEEE .

Dinh-Hung Le, Nhat-Minh Le, Quang-Hung Le, Van-Truong Pham, Thi-Thao Tran, "DR-Unet++: An Approach for Left Ventricle Segmentation from Magnetic Resonance Image," 6th International Conference on Green Technology and Sustainable Development (GTSD), 2022 Link to IEEE .

Hong-Phuc Lai, Thi-Thao Tran*, Van-Truong Pham, "Axial Attention MLP-Mixer: A New Architecture for Image Segmentation," The 9th International Conference on Communications and Electronics (ICCE22), 2022. Link to IEEE 

Viet-Dung Nguyen, Do-Hai-Ninh Nham, Van-Truong Pham, Thi-Thao Tran*, "U-shape-based architecture with Adjusted Bilateral Guided Aggregation Layer for nuclei image segmentation," The 9th International Conference on Communications and Electronics (ICCE22), 2022. Link to IEEE  Python code 

Minh-Nhat Trinh, Van-Truong Pham*, Thi-Thao Tran, “A Deep Learning-based approach with Semi-supervised Level Set Loss for Infant Brain MRI Segmentation,” 2nd International Conference on Pervasive Computing and Social Networking (ICPCSN 2022), Lecture Notes in Networks and Systems book series , volume 475, pp 533–545, 2022. Link to Springer 

Hong-Phuc Lai, Thi-Thao Tran*, Van-Truong Pham, "PASPP Medical Transformer for medical image segmentation," The 3rd International Conference on Data Science and Applications (ICDSA 2022), 2022.

Do-Hai-Ninh Nham, Minh-Nhat Trinh, Van-Truong Pham, Thi-Thao Tran* "Tversky-Kahneman: A New Loss Function For Skin Lesion Image Segmentation," The 3rd International Conference on Data Science and Applications (ICDSA 2022), 2022. Python code 

Do-Hai-Ninh Nham, Minh-Nhat Trinh, Tien-Thanh Tran, Van-Truong Pham,  Thi-Thao Tran*,  "A Modified FCN-Based Method for Left Ventricle Endocardium and Epicardium Segmentation with New Block Modules ",  8th NAFOSTED Conference on Information and Computer Science, 2021 (NICS'21) Link to IEEE  Python code 

Nhat-Minh Le, Dinh-Hung Le, Van-Truong Pham, Thi-Thao Tran,  "DR-Unet: Rethinking the ResUnet++ Architecture with Dual ResPath Skip Connection for Nuclei Segmentation",  8th NAFOSTED Conference on Information and Computer Science 2021 (NICS'21)Link to IEEE 

Minh-Nhat Trinh, Nhu-Toan Nguyen, Thi-Thao Tran, Van-Truong Pham,  "A Deep Learning-based Approach with Image-driven Active Contour Loss for Medical Image Segmentation",  International Conference on Data Science and Applications (ICDSA 2021) .Link to Springer    Python 

Minh-Nhat Trinh, Nhu-Toan Nguyen, Thi-Thao Tran, Van-Truong Pham, "A Semisupervised Deep Learning-based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images" , International Conference on Sustainable Computing (SUSCOM 2021).Link to Springer    Python 

Dang-Tien Nguyen, Thi-Thao Tran, Van-Truong Pham, “Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation,” International Conference on Artificial Intelligence and Computational Intelligence, 2021.Link to Springer 

Nhu-Toan Nguyen, Minh-Nhat Trinh, Thi-Thao Tran, Van-Truong Pham, “Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Medical Image Segmentation,” International Conference on Artificial Intelligence and Computational Intelligence, 2021.Link to Springer 

Tien-Thanh Tran, Thi-Thao Tran, Van-Truong Pham, “Deep Learning based COVID-19 Diagnosis by Joint Classification and Segmentation,” International Conference on Artificial Intelligence and Computational Intelligence, 2021.Link to Springer 

Van-Truong Pham, Thi-Thao Tran, “An automatic approach for estimation of CPR signal using thoracic impedance,” 5th International Conference on Green Technology and Sustainable Development (GTSD), 2020[Link to IEEE]

Duy Khang Nguyen, Thi-Thao Tran, Cong Phuong Nguyen, Van-Truong Pham, “Skin Lesion Segmentation based on Integrating EfficientNet and Residual block into U-Net Neural Network,” 5th International Conference on Green Technology and Sustainable Development (GTSD), 2020. [Link to IEEE]

Tien Thanh Tran, Thi-Thao Tran, Quoc Cuong Ninh, Minh Duc Bui, Van-Truong Pham, "Segmentation of Left Ventricle in Short-Axis MR Images Based on Fully Convolutional Network and Active Contour Model," International Conference on Green Technology and Sustainable Development (GTSD), 2020 . Link to Springer 

 Quoc Cuong Ninh, Thi-Thao Tran, Tien Thanh Tran, Thi Anh Xuan Tran, Van-Truong Pham,  "Skin Lesion Segmentation Based on Modification of SegNet Neural Networks ",  6th NAFOSTED Conference on Information and Computer Science (NICS), 2019. [Link to IEEE]

Thi-Thao Tran, Van-Truong Pham, Yun-Jen Chiu, and Kuo-Kai Shyu, “Active Contour with Selective Local or Global Segmentation for Intensity Inhomogeneous Image”,   In Proceedings of the 3rd  IEEE International Conference on Computer Science and   Information Technology (IEEE ICCSIT), 2010.[Link to IEEE]

Thi-Thao Tran, Van-Truong Pham, Yun-Jen Chiu, and Kuo-Kai Shyu, “Image Segmentation based on Geodesic aided Chan-Vese Model”,  In Proceedings of the 3rd  IEEE  International Conference on Computer Science and Information Technology (IEEE ICCSIT), 2010.[Link to IEEE]

 Van-Truong Pham, Thi-Thao Tran, Yun-Jen Chiu, and Kuo-Kai Shyu, Region-aided Geodesic Active Contour Model for Image Segmentation”, In Proceedings of the 3rd  IEEE International Conference on Computer Science and Information Technology (IEEE ICCSIT), 2010.[Link to IEEE]

Yun-Jen Chiu, Van-Truong Pham, Thi-Thao Tran, and Kuo-Kai Shyu,“Evaluation of Active  Contour on Medical inhomogeneous Image Segmentation”, In Proceedings of the 3rd  IEEE  International Conference on Computer Science and Information  Technology (IEEE  ICCSIT),  2010.[Link to IEEE]

Thi-Thao Tran, Po-Lei Lee, Van-Truong Pham, and Kuo-Kai Shyu, “MRI Image  Segmentation Based on Fast Global  Minimization of  Snake Model”, In  Proceedings of  the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV),  2008.[Link to IEEE]

Patents:

Men-Tzung Lo, Leh-Kiong Huon, Van-Truong Pham, Yunn-Jy Chen, Ting-Fang Shih, Thi-Thao Tran, Chen Lin, Pa-Chun Wang, “Bed set for inhibition obstructive sleep apnea,” US Patent US10500085B2, Grant: December, 2019.

Men-Tzung Lo, Te-Yung Fang, Van-Truong Pham, Thi-Thao Tran, Pa-Chun Wang, “System and Method for an Otitis Media Database Constructing and an Image Analyzing,” US Patent, US10037481B2, Grant: July 2018.

Yi-Chung Chang, Huon Leh-Kiong, Pham Van-Truong, Yunn-Jy Chen, Tiffany Ting-Fang Shih, Tran Thi-Thao, Chen Lin, Men-Tzung Lo, Wang Pa-Chun, “Method and System of Obstructed Area Determination for Sleep Apnea Syndrome,” US Patent, Publication number: 20160331306, Publication date: 17/11/2016. (Pending).

Teaching 

School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam

 Các môn giảng dạy:

Lý thuyết mạch điện 1, 2  (Electric Circuits 1,2)

Mạch và năng lượng điện (Circuit and Energy)

Trường điện từ (Electromagnetic Fields)

Mạng nơ-ron và ứng dụng trong xử lý tín hiệu (Neural networks and applications in signal processing) 

Học máy và ứng dụng (Machine learning and applications)    

Mạng nơ-ron và học sâu (Neural networks and Deep learning)

Học sâu (Deep learning)

 Hướng nghiên cứu và đồ án cho sinh viên/ học viên:

     - Phân vùng ảnh và nhận dạng ảnh dùng deep learning

      - Phân tích tín hiệu y sinh và ảnh y tế dùng mạng nơ-ron.

      - Nhận dạng, phân tích, và chẩn đoán bệnh viêm tai giữa bằng các thuật toán AI

 Lab về Phân tích ảnh và xử lý tín hiệu (IPSAL): https://sites.google.com/view/ipsal/  

Các môn giảng dạy kỳ 20221:  

• •     EE2021-Lý thuyết mạch điện 1 

  •     EE2031-Trường điện từ 

  •     EE3617- Mạch và năng lượng điện

  •     EE6424- Mạng nơ-ron và học sâu (cao học)

Contact:  thao.tranthi@hust.edu.vn; thaott3i@gmail.com