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ORCIDTawsifur Rahman
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2020 – today
- 2024
[j22]Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna Al Maslamani, Moajjem Hossain Chowdhury
, Anas M. Tahir, Md Sakib Abrar Hossain, Muhammad E. H. Chowdhury:
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. Cogn. Comput. 16(3): 1393-1412 (2024)- [j21]Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. Cogn. Comput. 16(4): 1778-1793 (2024) - [i17]Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa:
Addressing cognitive bias in medical language models. CoRR abs/2402.08113 (2024) - 2023
- [j20]Tawsifur Rahman, Mahmoud Khatib A. A. Al-Ruweidi, Md. Shaheenur Islam Sumon, Reema Youssef Kamal, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin:
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study. IEEE Access 11: 110375-110390 (2023) - [j19]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman, Antonio JR. Gonzales, Tawsifur Rahman, Md. Shafayet Hossain, Md Sakib Abrar Hossain, Md. Ahasan Atick Faisal, Farhan Fuad Abir, Farayi Musharavati, Muhammad Enamul Hoque Chowdhury:
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals. Biomed. Signal Process. Control. 79(Part): 104247 (2023) - [j18]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. Neural Comput. Appl. 35(24): 17461-17483 (2023) - 2022
- [j17]Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman, Mohammad Tariqul Islam, Ahmed Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury:
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. IEEE Access 10: 53359-53373 (2022) - [j16]Tawsifur Rahman, Amith Khandakar, Farhan Fuad Abir, Md. Ahasan Atick Faisal, Md. Shafayet Hossain, Kanchon Kanti Podder, Tariq O. Abbas, Mohammed Fasihul Alam, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Susu M. Zughaier, Muhammad Enamul Hoque Chowdhury:
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. Comput. Biol. Medicine 143: 105284 (2022) - [j15]Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Mohammad Tariqul Islam, Serkan Kiranyaz, Somaya Al-Máadeed, Muhammad Enamul Hoque Chowdhury:
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. Cogn. Comput. 14(5): 1752-1772 (2022) - [j14]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. Health Inf. Sci. Syst. 10(1): 1 (2022) - [j13]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors 22(3): 919 (2022) - [j12]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Tariq O. Abbas, Tanvir Alam, Mohamed Arselene Ayari, Zaid Bin Mahbub, Rumana Habib, Tawsifur Rahman, Anas M. Tahir, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors 22(5): 1793 (2022) - [j11]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Serkan Kiranyaz, Tawsifur Rahman, Moajjem Hossain Chowdhury, Mohamed Arselene Ayari, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik, Anwarul Hasan:
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. Sensors 22(11): 4249 (2022) - [j10]Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. IEEE Trans. Biomed. Eng. 69(12): 3572-3581 (2022) - [j9]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 928-940 (2022) - [i16]Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. CoRR abs/2202.00589 (2022) - [i15]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data. CoRR abs/2206.07595 (2022) - 2021
- [j8]Tawsifur Rahman, Amith Khandakar, Md Enamul Hoque, Nabil Ibtehaz, Saad Bin Abul Kashem, Reehum Masud, Lutfunnahar Shampa, Mohammad Mehedi Hasan, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Saif Badran, Suhail A. R. Doi, Muhammad Enamul Hoque Chowdhury:
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. IEEE Access 9: 120422-120441 (2021) - [j7]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comput. Biol. Medicine 132: 104319 (2021) - [j6]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
A machine learning model for early detection of diabetic foot using thermogram images. Comput. Biol. Medicine 137: 104838 (2021) - [j5]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Tawsifur Rahman, Syoji Kobashi, Chitra A. Dhawale, Mohammad Arif Sobhan Bhuiyan:
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations. Comput. Biol. Medicine 139: 104954 (2021) - [j4]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M. Sohel Rahman, Somaya Al-Máadeed, Sakib Mahmud, Maymouna Ezeddin, Khaled Hameed, Tahir Hamid:
COVID-19 infection localization and severity grading from chest X-ray images. Comput. Biol. Medicine 139: 105002 (2021) - [i14]Yazan Qiblawey, Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati:
Detection and severity classification of COVID-19 in CT images using deep learning. CoRR abs/2102.07726 (2021) - [i13]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas M. Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG biometrics aided by Deep learning for reliable Individual auTHentication. CoRR abs/2102.08026 (2021) - [i12]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, Mohammad Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin:
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. CoRR abs/2103.07985 (2021) - [i11]Muhammad Enamul Hoque Chowdhury, Nabil Ibtehaz, Tawsifur Rahman, Yosra Magdi Salih Mekki, Yazan Qiblawey, Sakib Mahmud, Maymouna Ezeddin, Susu M. Zughaier, Sumaya Ali S. A. Al-Máadeed:
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds. CoRR abs/2103.12063 (2021) - [i10]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. CoRR abs/2106.00436 (2021) - [i9]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images. CoRR abs/2106.14207 (2021) - [i8]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. CoRR abs/2111.08480 (2021) - 2020
- [j3]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam:
Can AI Help in Screening Viral and COVID-19 Pneumonia? IEEE Access 8: 132665-132676 (2020) - [j2]Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Reajul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Bin Abul Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access 8: 191586-191601 (2020) - [j1]Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control. Sensors 20(14): 3936 (2020) - [i7]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz:
Can AI help in screening Viral and COVID-19 pneumonia? CoRR abs/2003.13145 (2020) - [i6]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khandakar Reajul Islam, Khandaker F. Islam, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem:
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. CoRR abs/2004.06578 (2020) - [i5]Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control. CoRR abs/2005.02118 (2020) - [i4]Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury:
Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. CoRR abs/2005.11524 (2020) - [i3]Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandakar Reajul Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. CoRR abs/2007.14895 (2020) - [i2]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning. CoRR abs/2007.15559 (2020) - [i1]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. CoRR abs/2012.02238 (2020)
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