Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images von Rahman, Tawsifur, Khandakar, Amith, Qiblawey, Yazan, Tahir, Anas, Kiranyaz, Serkan, Abul Kashem, Saad Bin, Islam, Mohammad Tariqul, Al Maadeed, Somaya, Zughaier, Susu M., Khan, Muhammad Salman, Chowdhury, Muhammad E.H.

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Can AI Help in Screening Viral and COVID-19 Pneumonia? von Chowdhury, Muhammad E. H., Rahman, Tawsifur, Khandakar, Amith, Mazhar, Rashid, Kadir, Muhammad Abdul, Mahbub, Zaid Bin, Islam, Khandakar Reajul, Khan, Muhammad Salman, Iqbal, Atif, Emadi, Nasser Al, Reaz, Mamun Bin Ibne, Islam, Mohammad Tariqul

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Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray von Rahman, Tawsifur, Chowdhury, Muhammad E. H., Khandakar, Amith, Islam, Khandaker R., Islam, Khandaker F., Mahbub, Zaid B., Kadir, Muhammad A., Kashem, Saad

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Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization von Rahman, Tawsifur, Khandakar, Amith, Kadir, Muhammad Abdul, Islam, Khandaker R., Islam, Khandaker F., Mazhar, Rashid, Hamid, Tahir, Islam, Mohammad T., Kashem, Saad, Mahbub, Zaid B., Ayari, Mohamed Arselene, Chowdhury, Muhammad E. H.

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An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control von Dahmani, Mahmoud, Chowdhury, Muhammad E. H., Khandakar, Amith, Rahman, Tawsifur, Al-Jayyousi, Khaled, Hefny, Abdalla, Kiranyaz, Serkan

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A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals von Mahmud, Sakib, Ibtehaz, Nabil, Khandakar, Amith, Tahir, Anas M, Rahman, Tawsifur, Islam, Khandaker Reajul, Hossain, Md Shafayet, Rahman, M Sohel, Musharavati, Farayi, Ayari, Mohamed Arselene, Islam, Mohammad Tariqul, Chowdhury, Muhammad E H

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Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques von Chowdhury, Muhammad E. H., Rahman, Tawsifur, Khandakar, Amith, Ayari, Mohamed Arselene, Khan, Aftab Ullah, Khan, Muhammad Salman, Al-Emadi, Nasser, Reaz, Mamun Bin Ibne, Islam, Mohammad Tariqul, Ali, Sawal Hamid Md

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Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning von Qiblawey, Yazan, Tahir, Anas, Chowdhury, Muhammad E. H., Khandakar, Amith, Kiranyaz, Serkan, Rahman, Tawsifur, Ibtehaz, Nabil, Mahmud, Sakib, Maadeed, Somaya Al, Musharavati, Farayi, Ayari, Mohamed Arselene

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A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images von Khandakar, Amith, Chowdhury, Muhammad E H, Reaz, Mamun Bin Ibne, Ali, Sawal Hamid Md, Kiranyaz, Serkan, Rahman, Tawsifur, Chowdhury, Moajjem Hossain, Ayari, Mohamed Arselene, Alfkey, Rashad, Bakar, Ahmad Ashrif A, Malik, Rayaz A, Hasan, Anwarul

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Novel and robust machine learning approach for estimating the fouling factor in heat exchangers von Hosseini, Saleh, Khandakar, Amith, Chowdhury, Muhammad E.H., Ayari, Mohamed Arselene, Rahman, Tawsifur, Chowdhury, Moajjem Hossain, Vaferi, Behzad

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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques von Khandakar, Amith, Chowdhury, Muhammad E H, Reaz, Mamun Bin Ibne, Ali, Sawal Hamid Md, Abbas, Tariq O, Alam, Tanvir, Ayari, Mohamed Arselene, Mahbub, Zaid B, Habib, Rumana, Rahman, Tawsifur, Tahir, Anas M, Bakar, Ahmad Ashrif A, Malik, Rayaz A

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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images von Hossain, Amran, Islam, Mohammad Tariqul, Abdul Rahim, Sharul Kamal, Rahman, Md Atiqur, Rahman, Tawsifur, Arshad, Haslina, Khandakar, Amit, Ayari, Mohamed Arslane, Chowdhury, Muhammad E H

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Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model von Najmi, Maryam, Ayari, Mohamed Arselene, Sadeghsalehi, Hamidreza, Vaferi, Behzad, Khandakar, Amith, Chowdhury, Muhammad E H, Rahman, Tawsifur, Jawhar, Zanko Hassan

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Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models von Hossain, Amran, Islam, Mohammad Tariqul, Rahman, Tawsifur, Chowdhury, Muhammad E H, Tahir, Anas, Kiranyaz, Serkan, Mat, Kamarulzaman, Beng, Gan Kok, Soliman, Mohamed S

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HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images von Rahman, Tawsifur, Khandakar, Amith, Islam, Khandaker Reajul, Soliman, Md Mohiuddin, Islam, Mohammad Tariqul, Elsayed, Ahmed, Qiblawey, Yazan, Mahmud, Sakib, Rahman, Ashiqur, Musharavati, Farayi, Zalnezhad, Erfan, Chowdhury, Muhammad E. H.

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Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters von Rahman, Tawsifur, Khandakar, Amith, Hoque, Md Enamul, Ibtehaz, Nabil, Kashem, Saad Bin, Masud, Reehum, Shampa, Lutfunnahar, Hasan, Mohammad Mehedi, Islam, Mohammad Tariqul, Al-Maadeed, Somaya, Zughaier, Susu M., Badran, Saif, Doi, Suhail A. R., Chowdhury, Muhammad E. H.

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Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique von Rahman, Tawsifur, Al-Ishaq, Fajer A., Al-Mohannadi, Fatima S., Mubarak, Reem S., Al-Hitmi, Maryam H., Islam, Khandaker Reajul, Khandakar, Amith, Hssain, Ali Ait, Al-Madeed, Somaya, Zughaier, Susu M., Chowdhury, Muhammad E. H.

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Evaluation and mitigation of cognitive biases in medical language models von Schmidgall, Samuel, Harris, Carl, Essien, Ime, Olshvang, Daniel, Rahman, Tawsifur, Kim, Ji Woong, Ziaei, Rojin, Eshraghian, Jason, Abadir, Peter, Chellappa, Rama

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QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds von Rahman, Tawsifur, Ibtehaz, Nabil, Khandakar, Amith, Hossain, Md Sakib Abrar, Mekki, Yosra Magdi Salih, Ezeddin, Maymouna, Bhuiyan, Enamul Haque, Ayari, Mohamed Arselene, Tahir, Anas, Qiblawey, Yazan, Mahmud, Sakib, Zughaier, Susu M, Abbas, Tariq, Al-Maadeed, Somaya, Chowdhury, Muhammad E H

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Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study von Rahman, Tawsifur, Al-Ruweidi, Mahmoud Khatib A. A., Sumon, Md. Shaheenur Islam, Kamal, Reema Yousef, Chowdhury, Muhammad E. H., Yalcin, Huseyin C.

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