| 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 | 1984 | 2020 |
| 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 | 572 | 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 8, 191586-191601, 2020 | 509 | 2020 |
| COVID-19 Radiography Database T Rahman, MEH Chowdhury, A Khandakar, R Mazhar, MA Kadir, ... | 234 | 2020 |
| 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 | 99 | 2022 |
| 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 | 65 | 2022 |
| 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 | 44 | 2021 |
| 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 | 30 | 2023 |
| 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 | 17 | 2022 |
| 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 | 8 | 2022 |
| Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights J Prithula, MEH Chowdhury, MS Khan, K Al-Ansari, SM Zughaier, ... Respiratory Research 25 (1), 216, 2024 | 5 | 2024 |
| 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 | 5 | 2021 |
| 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 | 4 | 2022 |
| Biochar impacts on physical and hydrological properties of allophanic soils MH Rahman, AW Holmes, SJ Saunders, KR Islam 2011 Biochar Workshop, NZ Biochar Research Centre, Massey University …, 2011 | 4 | 2011 |
| Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3 MS Rahman, KR Islam, J Prithula, J Kumar, M Mahmud, MF Alam, ... BMC medical informatics and decision making 24 (1), 249, 2024 | 2 | 2024 |
| Interpretable deep learning model for tuberculosis detection using X-ray images MF Ahamed, M Nahiduzzaman, MR Islam, T Rahman, KR Islam, ... Surveillance, Prevention, and Control of Infectious Diseases: An AI …, 2024 | 1 | 2024 |
| HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images KR ISLAM, MDM SOLIMAN, F MUSHARAVATI, E ZALNEZHAD | 1 | 2022 |
| 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 | 1 | 2022 |
| Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis MSI Sumon, KR Islam, T Rafique, GS Hassan, MSA Hossain, KK Podder, ... arXiv preprint arXiv:2501.10984, 2025 | | 2025 |
| A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients J Prithula, KR Islam, J Kumar, TL Tan, MBI Reaz, T Rahman, SM Zughaier, ... Computers in Biology and Medicine 184, 109284, 2025 | | 2025 |
Muhammad E. H. Chowdhury, Ph.D., S...Electrical Engineering, Qatar UniversityVerified email at qu.edu.qa
