DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. - Hieu Trung Huynh; Jung-Ja Kim; Yonggwan Won (FBIT, 2007)

Outlier Treatment for SLFNs in Classification. - Hieu Trung Huynh; Nguyen H. Vo; Minh-Tuan T. Hoang; Yonggwan Won (ICCSA Workshops, 2007)

A Robust Online Sequential Extreme Learning Machine. - Minh-Tuan T. Hoang; Hieu Trung Huynh; Nguyen H. Vo; Yonggwan Won (ISNN (1), 2007)

Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase. - Hieu Trung Huynh; Nguyen H. Vo; Minh-Tuan T. Hoang; Yonggwan Won (MDAI, 2007)

Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. - Minh-Tuan T. Hoang; Hieu Trung Huynh; Nguyen H. Vo; Yonggwan Won; Jung-Ja Kim (RIVF, 2007)

Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. - Hieu Trung Huynh; Yonggwan Won (IEEE Congress on Evolutionary Computation, 2008)

Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. - Hieu Trung Huynh; Yonggwan Won; Jung-Ja Kim (ICNSC, 2008)

Evolutionary algorithm for training compact single hidden layer feedforward neural networks. - Hieu Trung Huynh; Yonggwan Won (IJCNN, 2008)

Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. - Hieu Trung Huynh; Yonggwan Won (NCM (1), 2008)

Small Number of Hidden Units for ELM with Two-Stage Linear Model. - Hieu Trung Huynh; Yonggwan Won (IEICE Trans. Inf. Syst., 2008)

An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks. - Hieu Trung Huynh; Yonggwan Won; Jung-Ja Kim (Int. J. Neural Syst., 2008)

Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine. - Hieu Trung Huynh; Yonggwan Won (J. Digit. Content Technol. its Appl., 2008)

Online training for single hidden-layer feedforward neural networks using RLS-ELM. - Hieu Trung Huynh; Yonggwan Won (CIRA, 2009)

DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. - Hieu Trung Huynh; Jung-Ja Kim; Yonggwan Won (FGIT-BSBT, 2009)

Extreme Learning Machine with Fuzzy Activation Function. - Hieu Trung Huynh; Yonggwan Won (NCM, 2009)

Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. - Hieu Trung Huynh; Yonggwan Won (Pattern Recognit. Lett., 2011)

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring. - Kenji Suzuki 001; Hieu Trung Huynh; Yi-Peng Liu 001; Dominic Calabrese; Karen Zhou 002; Aytekin Oto; Masatoshi Hori (EMBC, 2013)

Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks. - Hieu Trung Huynh; Ho Dac Quan; Yonggwan Won (FDSE, 2017)

Fully automated MR liver volumetry using watershed segmentation coupled with active contouring. - Hieu Trung Huynh; Ngoc Le-Trong; Pham The Bao; Aytek Oto; Kenji Suzuki 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

Age and Gender Estimation of Asian Faces Using Deep Residual Network. - Hoang Nguyen; Hieu Trung Huynh (FDSE, 2019)

A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image. - Hieu Trung Huynh; Vo Nguyen Nhat Anh (RIVF, 2019)

Application of Regularized Online Sequential Learning for Glucose Correction. - Hieu Trung Huynh; Yonggwan Won (Trans. Large Scale Data Knowl. Centered Syst., 2019)

Energy expenditure estimation based on artificial intelligence and microservice architecture. - Hieu Trung Huynh; Ho Dac Quan (ICMLSC, 2020)

Nonparametric maximum likelihood estimation using neural networks. - Hieu Trung Huynh; Linh Nguyen (Pattern Recognit. Lett., 2020)

Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet. - Hieu Trung Huynh; Hoang Nguyen (SN Comput. Sci., 2020)

White Blood Cell Segmentation and Classification Using Deep Learning Coupled with Image Processing Technique. - Hieu Trung Huynh; Vo Vuong Thanh Dat; Ha Bao Anh (FDSE (CCIS Volume), 2021)

Speaker Diarization in Vietnamese Voice. - Nguyen Duc Nam; Hieu Trung Huynh (FDSE (CCIS Volume), 2021)

An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning. - Ho Dac Quan; Hieu Trung Huynh (FDSE (CCIS Volume), 2022)

A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-Images. - Hieu Minh Truong; Hieu Trung Huynh (FDSE (CCIS Volume), 2022)

An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks. - Nghia Vo-Dinh; Anh Ha-Bao; Hieu Trung Huynh (RIVF, 2022)

Ordinary differential equation based neural network coupled with random forest in the quality assessment of hand hygiene processes. - Ho Dac Quan; Huynh Duc Khai; Hieu Trung Huynh (Appl. Soft Comput., 2022)

A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial Intelligence. - Hieu Trung Huynh; Tran Minh Hoang (Comput. J., 2022)

Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images. - Nam V. Nguyen 001; Hieu Trung Huynh; Phuc-Lu Le (FDSE, 2023)

Solving partial differential equation based on extreme learning machine. - Ho Dac Quan; Hieu Trung Huynh (Math. Comput. Simul., 2023)

A proposed scenario to improve the Ncut algorithm in segmentation. - Nhu-Y Tran; Hieu Trung Huynh; Pham The Bao (Frontiers Big Data, 2023)

A Novel Approach For CT-Based COVID-19 Classification and Lesion Segmentation Based On Deep Learning. - Hieu Minh Truong; Hieu Trung Huynh (Comput. J., 2023)

White Blood Cell Segmentation Using Kolmogorov-Arnold Network Coupled with UNet. - Hao Vu Le; Hieu Trung Huynh (FDSE (2), 2024)

iTa-DFiE: An Innovative Tensor Algebra-Based Detection Framework for Incomplete Noninvasive Electroencephalography. - Thi Anh Ngoc Nguyen; Quang-Bang Tao; Hyung-Jeong Yang; Hieu Trung Huynh; Nguyen Tran Quoc Vinh; Duy Khanh Ninh (IEEE Access, 2024)

On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content. - Vince Nguyen; Vidya Dhopate; Hieu Trung Huynh; Hiba Bouhlal; Anusha Annengala; Gian Luca Scoccia; Matias Martinez; Vincenzo Stoico; Ivano Malavolta (CAIN, 2025)

Nonparametric Estimation Using Kolmogorov-Arnold Network. - Hieu Trung Huynh (IUKM (1), 2025)

Classification of Breast Cancer for Mammography Using High-Resolution Network. - Ngo Quoc Thai; Hieu Trung Huynh (IUKM (1), 2025)

A Novel Transformer-Based Framework for Chest X-Ray Captioning with Clinical Sign Detection. - Thanh T. Tran; Duy V. M. Nguyen; Hieu Trung Huynh (SN Comput. Sci., 2025)