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Dr. Khandaker Reajul Islam
Dr. Khandaker Reajul Islam
Researcher, Dept. Of Electrical Engineering, Qatar University.
Verified email at qu.edu.qa
Title
Cited by
Cited by
Year
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
16682020
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 Sciences 10 (9), 3233, 2020
4582020
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 8, 191586-191601, 2020
3532020
COVID-19 Radiography Database
T Rahman, MEH Chowdhury, A Khandakar, R Mazhar, MA Kadir, ...
2092020
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
T Rahman, A Akinbi, MEH Chowdhury, TA Rashid, A Şengür, ...
Health Information Science and Systems 10 (1), 1, 2022
702022
A shallow U-Net architecture for reliably predicting blood pressure (BP) from photoplethysmogram (PPG) and electrocardiogram (ECG) signals
S Mahmud, N Ibtehaz, A Khandakar, AM Tahir, T Rahman, KR Islam, ...
Sensors 22 (3), 919, 2022
382022
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
T Rahman, FA Al-Ishaq, FS Al-Mohannadi, RS Mubarak, MH Al-Hitmi, ...
Diagnostics 11 (9), 1582, 2021
372021
Hipxnet: deep learning approaches to detect aseptic loos-ening of hip implants using x-ray images
T Rahman, A Khandakar, KR Islam, MM Soliman, MT Islam, A Elsayed, ...
IEEE Access 10, 53359-53373, 2022
112022
Machine learning-based early prediction of sepsis using electronic health records: A systematic review
KR Islam, J Prithula, J Kumar, TL Tan, MBI Reaz, MSI Sumon, ...
Journal of clinical medicine 12 (17), 5658, 2023
62023
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. arXiv
T Rahman, A Akinbi, ME Chowdhury, TA Rashid, A Şengür, A Khandakar, ...
arXiv preprint arXiv:2106.00436, 2021
52021
Prognostic model of ICU admission risk in patients with COVID-19 infection using machine learning
KR Islam, J Kumar, TL Tan, MBI Reaz, T Rahman, A Khandakar, T Abbas, ...
Diagnostics 12 (9), 2144, 2022
42022
Wearable Real-Time Epileptic Seizure Detection and Warning System
MEH Chowdhury, A Khandakar, K Alzoubi, A Mohammed, S Taha, ...
Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders …, 2022
32022
Child caring and complementary feeding practices among selected households in Dhaka city
MAH Bhuyan, K Islam, MY Ali, AAM Kurshed, MM Rana, S Khan
ORION 33 (1), 2010
32010
Future techniques and perspectives on implanted and wearable heart failure detection devices
MEH Chowdhury, A Khandaker, Y Qiblawey, F Haque, M Ezeddin, ...
Predicting Heart Failure: Invasive, Non‐Invasive, Machine Learning and …, 2022
12022
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
KK Podder, MK Alam, ZS Siam, KR Islam, P Dutta, A Mushtak, ...
Deep Learning Applications in Image Analysis, 113-131, 2023
2023
Can AI help in screening Viral and COVID-19 pneumonia?(preprint)
MEH Chowdhury, T Rahman, A Khandakar, R Mazhar, MA Kadir, ...
2020
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