Hieu Trung Huynh - researchr alias

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Viewing Publication 1 - 35 from 35

2023

2022

A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial IntelligenceHieu Trung Huynh, Tran Minh Hoang. cj, 65(5):1088-1097, 2022. [doi]

An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep LearningHo Dac Quan, Hieu Trung Huynh. fdse 2022: 407-418 [doi]

Ordinary differential equation based neural network coupled with random forest in the quality assessment of hand hygiene processesHo Dac Quan, Huynh Duc Khai, Hieu Trung Huynh. asc, 130:109627, 2022. [doi]

A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-ImagesHieu Minh Truong, Hieu Trung Huynh. fdse 2022: 640-652 [doi]

An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution NetworksNghia Vo-Dinh, Anh Ha-Bao, Hieu Trung Huynh. rivf 2022: 140-144 [doi]

2021

White Blood Cell Segmentation and Classification Using Deep Learning Coupled with Image Processing TechniqueHieu Trung Huynh, Vo Vuong Thanh Dat, Ha Bao Anh. fdse 2021: 399-410 [doi]

Speaker Diarization in Vietnamese VoiceNguyen Duc Nam, Hieu Trung Huynh. fdse 2021: 444-451 [doi]

2020

Energy expenditure estimation based on artificial intelligence and microservice architectureHieu Trung Huynh, Ho Dac Quan. icmlsc 2020: 159-163 [doi]

Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNetHieu Trung Huynh, Hoang Nguyen. sncs, 1(5):284, 2020. [doi]

Nonparametric maximum likelihood estimation using neural networksHieu Trung Huynh, Linh Nguyen. prl, 138:580-586, 2020. [doi]

2019

A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray ImageHieu Trung Huynh, Vo Nguyen Nhat Anh. rivf 2019: 1-5 [doi]

Application of Regularized Online Sequential Learning for Glucose CorrectionHieu Trung Huynh, Yonggwan Won. tlsdkcs, 41:160-171, 2019. [doi]

Age and Gender Estimation of Asian Faces Using Deep Residual NetworkHoang Nguyen, Hieu Trung Huynh. fdse 2019: 274-286 [doi]

2017

Fully automated MR liver volumetry using watershed segmentation coupled with active contouringHieu Trung Huynh, Ngoc Le-Trong, Pham The Bao, Aytek Oto, Kenji Suzuki. cars, 12(2):235-243, 2017. [doi]

Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural NetworksHieu Trung Huynh, Ho Dac Quan, Yonggwan Won. fdse 2017: 299-308 [doi]

2013

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouringKenji Suzuki, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori. embc 2013: 2984-2987 [doi]

2011

Regularized online sequential learning algorithm for single-hidden layer feedforward neural networksHieu Trung Huynh, Yonggwan Won. prl, 32(14):1930-1935, 2011. [doi]

2009

DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVDHieu Trung Huynh, Jung-Ja Kim, Yonggwan Won. fgit 2009: 108-114 [doi]

Online training for single hidden-layer feedforward neural networks using RLS-ELMHieu Trung Huynh, Yonggwan Won. cira 2009: 469-473 [doi]

Extreme Learning Machine with Fuzzy Activation FunctionHieu Trung Huynh, Yonggwan Won. ncm 2009: 303-307 [doi]

2008

Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural NetworksHieu Trung Huynh, Yonggwan Won. ncm 2008: 256-260 [doi]

Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve PatternsHieu Trung Huynh, Yonggwan Won, Jung-Ja Kim. icnsc 2008: 1517-1520 [doi]

Evolutionary algorithm for training compact single hidden layer feedforward neural networksHieu Trung Huynh, Yonggwan Won. ijcnn 2008: 3028-3033 [doi]

Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning MachineHieu Trung Huynh, Yonggwan Won. jdcta, 2(3):40-46, 2008. [doi]

Small Number of Hidden Units for ELM with Two-Stage Linear ModelHieu Trung Huynh, Yonggwan Won. ieicet, 91-D(4):1042-1049, 2008. [doi]

An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural NetworksHieu Trung Huynh, Yonggwan Won, Jung-Ja Kim. IJNS, 18(5):433-441, 2008. [doi]

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