Hieu Trung Huynh

According to our database, Hieu Trung Huynh authored at least 36 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 2023

A proposed scenario to improve the Ncut algorithm in segmentation.

Nhu-Y Tran, Hieu Trung Huynh, Pham The Bao

Frontiers Big Data, January, 2023

Solving partial differential equation based on extreme learning machine.

Ho Dac Quan, Hieu Trung Huynh

Math. Comput. Simul., 2023

Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images.

Nam V. Nguyen, Hieu Trung Huynh, Phuc-Lu Le

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

2022

A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial Intelligence.

Hieu Trung Huynh, Tran Minh Hoang

Comput. J., 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

An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks.

Nghia Vo-Dinh, Anh Ha-Bao, Hieu Trung Huynh

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-Images.

Hieu Minh Truong, Hieu Trung Huynh

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning.

Ho Dac Quan, Hieu Trung Huynh

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

2021

Speaker Diarization in Vietnamese Voice.

Nguyen Duc Nam, Hieu Trung Huynh

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021

White Blood Cell Segmentation and Classification Using Deep Learning Coupled with Image Processing Technique.

Hieu Trung Huynh, Vo Vuong Thanh Dat, Ha Bao Anh

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021

2020

Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet.

Hieu Trung Huynh, Hoang Nguyen

SN Comput. Sci., 2020

Nonparametric maximum likelihood estimation using neural networks.

Hieu Trung Huynh, Linh Nguyen

Pattern Recognit. Lett., 2020

Energy expenditure estimation based on artificial intelligence and microservice architecture.

Hieu Trung Huynh, Ho Dac Quan

Proceedings of the ICMLSC 2020: The 4th International Conference on Machine Learning and Soft Computing, 2020

2019

Application of Regularized Online Sequential Learning for Glucose Correction.

Hieu Trung Huynh, Yonggwan Won

Trans. Large Scale Data Knowl. Centered Syst., 2019

A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image.

Hieu Trung Huynh, Vo Nguyen Nhat Anh

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Age and Gender Estimation of Asian Faces Using Deep Residual Network.

Hoang Nguyen, Hieu Trung Huynh

Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019

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

Int. J. Comput. Assist. Radiol. Surg., 2017

Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks.

Hieu Trung Huynh, Ho Dac Quan, Yonggwan Won

Proceedings of the Future Data and Security Engineering - 4th International Conference, 2017

2013

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring.

Kenji Suzuki, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011

Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks.

Hieu Trung Huynh, Yonggwan Won

Pattern Recognit. Lett., 2011

2009

Extreme Learning Machine with Fuzzy Activation Function.

Hieu Trung Huynh, Yonggwan Won

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD.

Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won

Proceedings of the Bio-Science and Bio-Technology, 2009

Online training for single hidden-layer feedforward neural networks using RLS-ELM.

Hieu Trung Huynh, Yonggwan Won

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

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

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

Small Number of Hidden Units for ELM with Two-Stage Linear Model.

Hieu Trung Huynh, Yonggwan Won

IEICE Trans. Inf. Syst., 2008

Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks.

Hieu Trung Huynh, Yonggwan Won

Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008

Evolutionary algorithm for training compact single hidden layer feedforward neural networks.

Hieu Trung Huynh, Yonggwan Won

Proceedings of the International Joint Conference on Neural Networks, 2008

Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns.

Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm.

Hieu Trung Huynh, Yonggwan Won

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

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

Proceedings of the 2007 IEEE International Conference on Research, 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

Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

A Robust Online Sequential Extreme Learning Machine.

Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won

Proceedings of the Advances in Neural Networks, 2007

Outlier Treatment for SLFNs in Classification.

Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won

Proceedings of the Selected Papers of the Fifth International Conference on, 2007

DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks.

Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won

Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007