Francis Minhthang Bui
Orcid: 0000-0002-8799-5965Affiliations:
- 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.
Collaborative distances:
Collaborative distances:
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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
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
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
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
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
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
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013
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
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
J. Comput. Networks Commun., 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
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
IEEE Syst. J., 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
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
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