‪Muhammad E. H. Chowdhury, Ph.D., SMIEEE‬

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Mohammad Tariqul IslamDept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan MalaysiaAdresse e-mail validée de ukm.edu.my
Serkan KiranyazProfessor in Electrical Engineering Department, Qatar UniversityAdresse e-mail validée de qu.edu.qa
Muhammad Salman KhanQatar University, Department of Electrical Engineering, College of EngineeringAdresse e-mail validée de qu.edu.qa
Susu ZughaierAssociate Professor of Microbiology & Immunology, College of Medicine, Qatar UniversityAdresse e-mail validée de qu.edu.qa
Hasan, Anwarul, PhDAssociate Professor, Department of Mechanical and Industrial Engineering, Qatar UniversityAdresse e-mail validée de qu.edu.qa
Moncef GabboujProfessor, Tampere UniversityAdresse e-mail validée de tuni.fi
Tariq Abbas, MBBS, PhDPediatric Urology, Sidra MedicineAdresse e-mail validée de hamad.qa
M MurugappanProfessor, Kuwait College of Science and TechnologyAdresse e-mail validée de kcst.edu.kw
M Sohel RahmanCSE, BUETAdresse e-mail validée de cse.buet.ac.bd
Richard BowtellProfessor of Physics, Nottingham UniversityAdresse e-mail validée de nottingham.ac.uk
Atif IqbalQatar UniversityAdresse e-mail validée de qu.edu.qa
Rayaz Ahmed MalikWeill Cornell Medicine-QatarAdresse e-mail validée de qatar-med.cornell.edu
Turker InceProfessor of Data Science & Engineering, German International University (Berlin)Adresse e-mail validée de giu-berlin.de
Erfan Zal NezhadSpecial Member, UTSA, San Antonio, TX, Director of Thin Film Coating Lab, Texas, USAAdresse e-mail validée de utsa.edu
Suhail A. DoiCollege of Medicine, Qatar UniversityAdresse e-mail validée de qu.edu.qa
Mamun Bin Ibne ReazProfessor of Electronic Engineering

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Muhammad E. H. Chowdhury, Ph.D., SMIEEE

Electrical Engineering, Qatar University

Adresse e-mail validée de qu.edu.qa - Page d'accueil

AI & Machine learning Biomedical instrumentation Digital Health Materials


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Can AI help in screening viral and COVID-19 pneumonia? MEH Chowdhury, T Rahman, A Khandakar, R Mazhar, MA Kadir, ... IEEE Access 8: 132665–132676, 2020	2005	2020
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images T Rahman, A Khandakar, Y Qiblawey, A Tahir, S Kiranyaz, SBA Kashem, ... Computer in Medicine and Biology 132 (2021), 104319, 2021	1091	2021
Mapping the human genetic architecture of COVID-19 Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ... Nature 600 (7889), 472-477, 2021	844	2021
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray T Rahman, MEH Chowdhury, A Khandakar, KR Islam, KF Islam, ... Applied Science 10 (9), 3233, 2020	583	2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization T Rahman, A Khandakar, MA Kadir, KR Islam, KF Islam, R Mazhar, ... IEEE Access 2020 (8), 191586 - 191601, 2020	512	2020
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques MEH Chowdhury, T Rahman, A Khandakar, MA Ayari, AU Khan, MS Khan, ... AgriEngineering 3 (2), 294-312, 2021	301	2021
COVID-19 Radiography Database T Rahman, MEH Chowdhury, A Khandakar Kaggle, 2020	280*	2020
An Internet of Things Based Smart Waste Management System Using LoRa And Tensorflow Deep Learning Model TJI SHENG, MS ISLAM, N MISRAN, H ARSHAD, MDR ISLAM, ... IEEE Access 8, 148793 - 148811, 2020	249	2020
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques MH Chowdhury, MNI Shuzan, MEH Chowdhury, ZB Mahbub, MM Uddin, ... Sensors 20 (11), 3127, 2020	233	2020
COVID-19 infection localization and severity grading from chest X-ray images AM Tahir, MEH Chowdhury, A Khandakar, T Rahman, Y Qiblawey, ... Computers in biology and medicine 139, 105002, 2021	177	2021
Real-time smart-digital stethoscope system for heart diseases monitoring MEH Chowdhury, A Khandakar, K Alzoubi, S Mansoor, A M. Tahir, ... Sensors 19 (12), 2781, 2019	172	2019
A review of deep learning-based detection methods for COVID-19 N Subramanian, O Elharrouss, S Al-Maadeed, M Chowdhury Computers in Biology and Medicine 143, 105233, 2022	165	2022
Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar A Khandakar, M EH Chowdhury, M Khoda Kazi, K Benhmed, F Touati, ... Energies 12 (14), 2782, 2019	161	2019
Detection and severity classification of COVID-19 in CT images using deep learning Y Qiblawey, A Tahir, MEH Chowdhury, A Khandakar, S Kiranyaz, ... Diagnostics 11 (5), 893, 2021	130	2021
Design, Construction and Testing of IoT based Automated Indoor Vertical Hydroponics Farming Test-bed in Qatar MEH Chowdhury, A Khandakar, S Ahmed, F Al-Khuzaei, J Hamdalla, ... Sensors 20 (19), 5637, 2020	130	2020
Wearable real-time heart attack detection and warning system to reduce road accidents MEH Chowdhury, K Alzoubi, A Khandakar, R Khallifa, R Abouhasera, ... Sensors 19 (12), 2780, 2019	129	2019
Convolutional sparse support estimator based covid-19 recognition from x-ray images M Yamac, M Ahishali, A Degerli, S Kiranyaz, MEH Chowdhury, ... IEEE Transactions on Neural Networks and Learning Systems 32 (5), 1810-1820, 2021	125	2021
Reference layer artefact subtraction (RLAS): a novel method of minimizing EEG artefacts during simultaneous fMRI MEH Chowdhury, KJ Mullinger, P Glover, R Bowtell Neuroimage 84, 307-319, 2014	122	2014
A Systematic Approach for Design and Characterization of Low-Cost Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis AM Tahir, MEH Chowdhury, A Khandakar, S Al-Hamouz, M Abdalla, ... Sensors 20 (4), 957, 2020	120	2020
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning MEH Chowdhury, T Rahman, A Khandakar, S Al-Madeed, SM Zughaier, ... Cognitive Computation 20 (1), 1, 2020	118	2020

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