Francis Minhthang Bui

Orcid: 0000-0002-8799-5965

Affiliations:
  • University of Saskatchewan, Department of Electrical and Computer Engineering, Saskatoon, SK, Canada


According to our database1, Francis Minhthang Bui authored at least 64 papers between 2001 and 2024.

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Bibliography

2024
StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification.
IEEE Trans. Artif. Intell., November, 2024

An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes.
IEEE Trans. Artif. Intell., June, 2024

Toward Improved Interpretability in Medical Imaging: Revealing the Disease Evidence From Chest X-Ray Images Using an Adversarial Generative Approach.
IEEE Access, 2024

2023
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images.
J. King Saud Univ. Comput. Inf. Sci., September, 2023

Drug Repurposing and Systems Biology approaches of Enzastaurin can target potential biomarkers and critical pathways in Colorectal Cancer.
Comput. Biol. Medicine, March, 2023

High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images.
Comput. Biol. Medicine, March, 2023

Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security.
IEEE J. Biomed. Health Informatics, February, 2023

AIoT-Based Smart Stick for Visually Impaired Person.
IEEE Trans. Instrum. Meas., 2023

Semantically preserving adversarial unsupervised domain adaptation network for improving disease recognition from chest x-rays.
Comput. Medical Imaging Graph., 2023

Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics.
Algorithms, 2023

FedRSMax: An Effective Aggregation Technique for Federated Learning with Medical Images.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

STACKION: Ion Channel-Modulating Peptides Identification Using Stacking-Based Ensemble Machine Learning.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2022
Early Prediction of Chronic Kidney Disease: A Comprehensive Performance Analysis of Deep Learning Models.
Algorithms, 2022

Learning From Limited and Imbalanced Medical Images With Finer Synthetic Images From GANs.
IEEE Access, 2022

Encoding and Tuning of THz Metasurface-Based Refractive Index Sensor With Behavior Prediction Using XGBoost Regressor.
IEEE Access, 2022

PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach.
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022

2021
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison.
Comput. Biol. Medicine, 2021

Machine learning-based statistical analysis for early stage detection of cervical cancer.
Comput. Biol. Medicine, 2021

DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model.
Proceedings of the Artificial Intelligence and Data Science, 2021

ML_SPS: Stroke Prediction System Employing Machine Learning Approach.
Proceedings of the Artificial Intelligence and Data Science, 2021

2020
Computer-aided polyp detection based on image enhancement and saliency-based selection.
Biomed. Signal Process. Control., 2020

A Deep Learning Approach to Predict Weather Data Using Cascaded LSTM Network.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

Determination of SWIR Features for Noninvasive Glucose Monitoring Using Machine Learning.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter.
Sensors, 2019

Learning from an Imbalanced and Limited Dataset and an Application to Medical Imaging.
Proceedings of the IEEE Pacific Rim Conference on Communications, 2019

2018
Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection.
Biomed. Signal Process. Control., 2018

2016
Optimal Relay Selection and Power Control With Quality-of-Service Provisioning in Wireless Body Area Networks.
IEEE Trans. Wirel. Commun., 2016

Delay-Aware Optimization of Physical Layer Security in Multi-Hop Wireless Body Area Networks.
IEEE Trans. Inf. Forensics Secur., 2016

Optimal beamforming-based power control in wireless body area networks.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Feature selection using modified ant colony optimization for wireless capsule endoscopy.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Application of modified ant colony optimization for computer aided bleeding detection system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Automated Growcut for segmentation of endoscopic images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An RF-based wearable sensor system for indoor tracking to facilitate efficient healthcare management.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Routing over multi-hop fading wireless body area networks with reliability considerations.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

An accelerometer based system to measure myocardial performance index during stress testing.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Unsupervised abnormality detection using saliency and Retinex based color enhancement.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

An empirical study on the effect of imbalanced data on bleeding detection in endoscopic video.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014
A Game-Theoretic Framework for Robust Optimal Intrusion Detection in Wireless Sensor Networks.
IEEE Trans. Inf. Forensics Secur., 2014

Automated Bleeding Detection in Capsule Endoscopy Videos Using Statistical Features and Region Growing.
J. Medical Syst., 2014

2013
Evaluation of compressed sensing in seismocardiogram (SCG) systems.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

FPGA based reconfigurable body area network using Nios II and uClinux.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Bleeding detection in wireless capsule endoscopy based on color features from histogram probability.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Performance of unique word timing offset estimator.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012
Medical Information Management with ECG Biometrics: A Secure and Effective Framework.
Proceedings of the Handbook of Ambient Assisted Living, 2012

Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification.
J. Comput. Networks Commun., 2012

Cardiac biometric security in welfare monitoring.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Medical biometrics in mobile health monitoring.
Secur. Commun. Networks, 2011

Quality of Service Regulation in Secure Body Area Networks: System Modeling and Adaptation Methods.
EURASIP J. Wirel. Commun. Netw., 2011

Performance evaluation of wireless multihop communications for an indoor environment.
Proceedings of the IEEE 22nd International Symposium on Personal, 2011

Improving source-location privacy through opportunistic routing in wireless sensor networks.
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011

A comparative analysis of biometric secret-key binding schemes based on QIM and Wyner-Ziv coding.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Fuzzy key binding strategies based on quantization index modulation (QIM) for biometric encryption (BE) applications.
IEEE Trans. Inf. Forensics Secur., 2010

2009
A Biometric Encryption System for the Self-Exclusion Scenario of Face Recognition.
IEEE Syst. J., 2009

Face recognition with biometric encryption for privacy-enhancing self-exclusion.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

On supporting anonymity in a BAN biometric framework.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008
Biometric Methods for Secure Communications in Body Sensor Networks: Resource-Efficient Key Management and Signal-Level Data Scrambling.
EURASIP J. Adv. Signal Process., 2008

Secure methods for fuzzy key binding in biometric authentication applications.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
An Interpolation and Resampling Framework for Efficient Reduction of Peak-to-Average Power Ratio in OFDM Systems.
Proceedings of the IEEE 18th International Symposium on Personal, 2007

2006
Spectrally Efficient Communication over Time-Varying Frequency-Selective Mobile Channels: Variable-Size Burst Construction and Adaptive Modulation.
EURASIP J. Adv. Signal Process., 2006

2005
A receiver-based variable-size-burst equalization strategy for spectrally efficient wireless communications.
IEEE Trans. Signal Process., 2005

2004
Time-varying channel modeling and variable-size burst for spatio-temporal interference suppression in DS-CDMA systems.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Adaptive modulation using variable-size burst for spectrally efficient interference suppression in wireless communications.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

2001
Nonlinear compensation of distortions introduced by the presence of metal objects in magnetic resonance imaging.
Proceedings of the Medical Imaging 2001: Image Processing, 2001


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