Francis M. Bui

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 25

Top Topics

Machine Learning

Endoscopic Video

Polyp Detection

Top Venues

Comput. Biol. Medicine

Biomed. Signal Process. Control.

Publications

Ananda Sutradhar, Mustahsin Al Rafi, Pronab Ghosh, F. M. Javed Mehedi Shamrat, Md. Moniruzzaman, Kawsar Ahmed, A. K. M. Azad, Francis M. Bui, Li Chen, Mohammad Ali Moni
An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes. IEEE Trans. Artif. Intell. 5 (6) (2024)
Krupal Jivrajani, Shobhit K. Patel, Chandrasinh Parmar, Jaymit Surve, Kawsar Ahmed, Francis M. Bui, Fahad Ahmed Al-Zahrani
AIoT-Based Smart Stick for Visually Impaired Person. IEEE Trans. Instrum. Meas. 72 (2023)
Anjir Ahmed Chowdhury, S. M. Hasan Mahmud, Khadija Kubra Shahjalal Hoque, Kawsar Ahmed, Francis M. Bui, Pietro Lio, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. J. King Saud Univ. Comput. Inf. Sci. 35 (8) (2023)
Md. Ashikur Rahman, Lway Faisal Abdulrazak, Md Mamun Ali, Imran Mahmud, Kawsar Ahmed, Francis M. Bui
Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics. Algorithms 16 (11) (2023)
Pratul Dipta Somadder, Md Arju Hossain, Asif Ahsan, Tayeba Sultana, Sadat Hossain Soikot, Md Masuder Rahman, Sobhy M. Ibrahim, Kawsar Ahmed, Francis M. Bui
Drug Repurposing and Systems Biology approaches of Enzastaurin can target potential biomarkers and critical pathways in Colorectal Cancer. Comput. Biol. Medicine 155 (2023)
Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Li Chen
STACKION: Ion Channel-Modulating Peptides Identification Using Stacking-Based Ensemble Machine Learning. CCECE (2023)
Md. Nazmul Hossen, Vijayakumari Panneerselvam, Deepika Koundal, Kawsar Ahmed, Francis M. Bui, Sobhy M. Ibrahim
Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Md. Nazmul Hossen, Kawsar Ahmed, Francis M. Bui, Li Chen
FedRSMax: An Effective Aggregation Technique for Federated Learning with Medical Images. CCECE (2023)
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, Kawsar Ahmed, Francis M. Bui, Friso De Boer
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images. Comput. Biol. Medicine 155 (2023)
Md. Rajib Mia, Md. Ashikur Rahman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud
PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors. MIET (1) (2022)
Md Abdur Rahaman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud
Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach. ICCA (2022)
Chaity Mondol, F. M. Javed Mehedi Shamrat, Md. Robiul Hasan, Saidul Alam, Pronab Ghosh, Zarrin Tasnim, Kawsar Ahmed, Francis M. Bui, Sobhy M. Ibrahim
Early Prediction of Chronic Kidney Disease: A Comprehensive Performance Analysis of Deep Learning Models. Algorithms 15 (9) (2022)
Md Mamun Ali, Bikash Kumar Paul, Kawsar Ahmed, Francis M. Bui, Julian M. W. Quinn, Mohammad Ali Moni
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Comput. Biol. Medicine 136 (2021)
Md. Sazzad Hossain, Mehedi Hassan Shovo, Md Mamun Ali, Md. Nayer, Kawsar Ahmed, Francis M. Bui
ML_SPS: Stroke Prediction System Employing Machine Learning Approach. ICAIDS (2021)
Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Bikash Kumar Paul, Sobhy M. Ibrahim, Julian M. W. Quinn, Mohammad Ali Moni
Machine learning-based statistical analysis for early stage detection of cervical cancer. Comput. Biol. Medicine 139 (2021)
Md Abdur Rahaman, Md Mamun Ali, Md. Nazmul Hossen, Md. Nayer, Kawsar Ahmed, Francis M. Bui
DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model. ICAIDS (2021)
Zarif Al Sadeque, Francis M. Bui
A Deep Learning Approach to Predict Weather Data Using Cascaded LSTM Network. CCECE (2020)
Farah Deeba, Francis M. Bui, Khan A. Wahid
Computer-aided polyp detection based on image enhancement and saliency-based selection. Biomed. Signal Process. Control. 55 (2020)
Xiaoli Qin, Francis M. Bui, Ha H. Nguyen
Learning from an Imbalanced and Limited Dataset and an Application to Medical Imaging. PACRIM (2019)
Farah Deeba, Monzurul Islam, Francis M. Bui, Khan A. Wahid
Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection. Biomed. Signal Process. Control. 40 (2018)
Farah Deeba, Shahed K. Mohammed, Francis M. Bui, Khan A. Wahid
An empirical study on the effect of imbalanced data on bleeding detection in endoscopic video. EMBC (2016)
Farah Deeba, Francis M. Bui, Khan A. Wahid
Automated Growcut for segmentation of endoscopic images. IJCNN (2016)
Farah Deeba, Shahed K. Mohammed, Francis M. Bui, Khan A. Wahid
Unsupervised abnormality detection using saliency and Retinex based color enhancement. EMBC (2016)
Shahed K. Mohammed, Farah Deeba, Francis M. Bui, Khan A. Wahid
Feature selection using modified ant colony optimization for wireless capsule endoscopy. UEMCON (2016)
Shahed K. Mohammed, Farah Deeba, Francis M. Bui, Khan A. Wahid
Application of modified ant colony optimization for computer aided bleeding detection system. IJCNN (2016)
Sonu Sainju, Francis M. Bui, Khan A. Wahid
Automated Bleeding Detection in Capsule Endoscopy Videos Using Statistical Features and Region Growing. J. Medical Syst. 38 (4) (2014)
Sonu Sainju, Francis M. Bui, Khan A. Wahid
Bleeding detection in wireless capsule endoscopy based on color features from histogram probability. CCECE (2013)
Foteini Agrafioti, Francis M. Bui, Dimitrios Hatzinakos
On supporting anonymity in a BAN biometric framework. DPS (2009)
Francis M. Bui, Ken Bott, Martin P. Mintchev
Nonlinear compensation of distortions introduced by the presence of metal objects in magnetic resonance imaging. Medical Imaging: Image Processing (2001)