Phuong-Nam Nguyen, Van-Danh Le, Thi-Thao Tran, Van-Truong Pham, "A Few-Shot Learning Approach for Palmprint Recognition Using a Multi-State Attention Fusion Network," International Conference on Advances in Information and Communication Technology (ICTA), (Accepted), 2025.
Quang-Huy Nguyen, Van Quang Nguyen, Van-Truong Pham, Thi-Thao Tran, "Towards Real-Time Medical Image Segmentation via Axial Channel Attention and Multi-Scale Contextual Mamba," International Conference on Advances in Information and Communication Technology (ICTA), (Accepted), 2025.
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), 2025. Link to IEEE
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), 2025. Link to IEEE
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.
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.
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
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 48), Python code.
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, Python code (Cited by 16).
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
Quang-Huy Nguyen, Hoang-Minh-Quang Le, Thi-Thao Tran, Tuan Ninh Nguyen, Van-Truong Pham, "Segmentation of fish in the natural habitat using deep learning for fish size measurement application," 7th International Conference on Green Technology and Sustainable Development (GTSD), 2024. Link to IEEE
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), 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. Link to IEEE, Python code.
Manh-Hung Vu, Van-Truong Pham, "MixerFormer-CovaMnet: A New Few-shot Learning Model for Bearing Fault Diagnosis," 12th International Conference on Control, Automation and Information Sciences (ICCAIS), 2023. Link to IEEE
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. Link to IEEE
Van-Quang Nguyen, Quang-Huy Nguyen, 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. Link to IEEE
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
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. (Best Paper Award Runners Up). Link to Springer, 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
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.
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 (Cited by 26).
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
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
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 code
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, "PASPP Medical Transformer for medical image segmentation," The 3rd International Conference on Data Science and Applications (ICDSA 2022), 2022. (Best Paper Award). Link to Springer
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. Link to Springer, 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), 2022. Link to Springer
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
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
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 ,” The 2nd International Conference on Data Science and Applications (ICDSA 2021), 2021. Link to Springer
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,” The third International Conference on Sustainable Computing (SUSCOM-2021), 2021. Link to Springer
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," 5th International Conference on Green Technology and Sustainable Development (GTSD: Computational Intelligence Methods for Green Technology and Sustainable Development), 2020. Link to Springer
Dang-Tien Nguyen, Thi-Thao Tran, Van-Truong Pham*, “Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation,” The Second 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 Cardiac MR Image Segmentation,” The Second 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,” The Second 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 (Cited by 41).
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 (Cited by 25).
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," International Conference on Emergency Medicine (ICEM), 2016. Link to Elsevier
Pa-Chun Wang, Te-Yung Fang, Men-Tzung Lo, Van-Truong Pham, Thi-Thao Tran, "Development of A Mobile Phone-based Otitis Media Auto-Diagnostic System (OMADx)," 13th Japan-Taiwan Conference on Otolaryngology-Head and Neck Surgery, 2015.
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
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
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
Kuo-Kai Shyu, Po-Lei Lee, Van-Truong Pham, and Thi-Thao Tran, “Blood Cells Segmentation using Level Set Method and Mumfor-Shah model,” In Proceedings of the 10th Cross-Strait Information Technology Conference (CSIT), 2008.