Tawsifur Rahman

42 papers A 1Journal 41

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients. Comput. Biol. Medicine Johayra Prithula, Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Tawsifur Rahman, Susu M. Zughaier, Muhammad Salman Khan, M. Murugappan, Muhammad E. H. Chowdhury
2025	A	`conf`	CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification. WACV Tawsifur Rahman, Alexander S. Baras, Rama Chellappa
2024	J	`jnl`	Addressing cognitive bias in medical language models. CoRR Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa
2024	J	`jnl`	An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. Cogn. Comput. Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam
2024	J	`jnl`	Evaluation and mitigation of cognitive biases in medical language models. npj Digit. Medicine Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa
2024	J	`jnl`	TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. Cogn. Comput. 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
2023	J	`jnl`	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. 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
2023	J	`jnl`	Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study. IEEE Access Tawsifur Rahman, Mahmoud Khatib A. A. Al-Ruweidi, Md. Shaheenur Islam Sumon, Reema Youssef Kamal, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin
2023	J	`jnl`	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. 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
2022	J	`jnl`	A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. Sensors 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
2022	J	`jnl`	A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors 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
2022	J	`jnl`	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 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
2022	J	`jnl`	Blind ECG Restoration by Operational Cycle-GANs. CoRR 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
2022	J	`jnl`	Blind ECG Restoration by Operational Cycle-GANs. IEEE Trans. Biomed. Eng. 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
2022	J	`jnl`	COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. Health Inf. Sci. Syst. Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael
2022	J	`jnl`	Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. Cogn. Comput. 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
2022	J	`jnl`	EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. IEEE Trans. Emerg. Top. Comput. Intell. Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman
2022	J	`jnl`	HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. IEEE Access 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
2022	J	`jnl`	QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. Comput. Biol. Medicine 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
2022	J	`jnl`	Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors 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
2021	J	`jnl`	A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images. CoRR 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
2021	J	`jnl`	A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. CoRR 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
2021	J	`jnl`	A machine learning model for early detection of diabetic foot using thermogram images. Comput. Biol. Medicine 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
2021	J	`jnl`	A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations. Comput. Biol. Medicine 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
2021	J	`jnl`	COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. CoRR Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael
2021	J	`jnl`	COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. CoRR 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
2021	J	`jnl`	COVID-19 infection localization and severity grading from chest X-ray images. Comput. Biol. Medicine 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
2021	J	`jnl`	Detection and severity classification of COVID-19 in CT images using deep learning. CoRR Yazan Qiblawey, Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati
2021	J	`jnl`	Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. IEEE Access 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
2021	J	`jnl`	EDITH : ECG biometrics aided by Deep learning for reliable Individual auTHentication. CoRR Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas M. Tahir, Yazan Qiblawey, Tawsifur Rahman
2021	J	`jnl`	Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comput. Biol. Medicine 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
2021	J	`jnl`	QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds. CoRR 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
2020	J	`jnl`	An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control. Sensors Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz
2020	J	`jnl`	An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control. CoRR Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz
2020	J	`jnl`	An early warning tool for predicting mortality risk of COVID-19 patients using machine learning. CoRR Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam
2020	J	`jnl`	Can AI Help in Screening Viral and COVID-19 Pneumonia? IEEE Access 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
2020	J	`jnl`	Can AI help in screening Viral and COVID-19 pneumonia? CoRR 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
2020	J	`jnl`	Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. CoRR Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury
2020	J	`jnl`	Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. CoRR 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
2020	J	`jnl`	Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access 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
2020	J	`jnl`	Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. CoRR 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
2020	J	`jnl`	Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. CoRR Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khandakar Reajul Islam, Khandaker F. Islam, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem