Conference Papers

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

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. Link to IEEE

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

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

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

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

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

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

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  

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

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

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.

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.