Search Results - "Rahman, Tawsifur"

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images by 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.

“…Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during…”
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Can AI Help in Screening Viral and COVID-19 Pneumonia? by 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

“…Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any…”
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Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray by Rahman, Tawsifur, Chowdhury, Muhammad E.H, Khandakar, Amith, Islam, Khandaker R, Islam, Khandaker F, Mahbub, Zaid B, Kadir, Muhammad A, Kashem, Saad

“…Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon…”
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Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization by 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.

“…Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early…”
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An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control by Dahmani, Mahmoud, Chowdhury, Muhammad E H, Khandakar, Amith, Rahman, Tawsifur, Al-Jayyousi, Khaled, Hefny, Abdalla, Kiranyaz, Serkan

“…In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population…”
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Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques by 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

“…Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring…”
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A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals by 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

“…Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP)…”
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Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning by 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

“…Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the…”
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A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images by 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

“…Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is…”
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Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies by Wang, Jing, Ayari, Mohamed Arselene, Khandakar, Amith, Chowdhury, Muhammad E H, Uz Zaman, Sm Ashfaq, Rahman, Tawsifur, Vaferi, Behzad

“…Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic…”
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Novel and robust machine learning approach for estimating the fouling factor in heat exchangers by Hosseini, Saleh, Khandakar, Amith, Chowdhury, Muhammad E.H., Ayari, Mohamed Arselene, Rahman, Tawsifur, Chowdhury, Moajjem Hossain, Vaferi, Behzad

“…The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers…”
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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques by 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

“…Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to…”
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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images by 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

“…Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development…”
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Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model by Najmi, Maryam, Ayari, Mohamed Arselene, Sadeghsalehi, Hamidreza, Vaferi, Behzad, Khandakar, Amith, Chowdhury, Muhammad E H, Rahman, Tawsifur, Jawhar, Zanko Hassan

“…Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce…”
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Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models by Hossain, Amran, Islam, Mohammad Tariqul, Rahman, Tawsifur, Chowdhury, Muhammad E H, Tahir, Anas, Kiranyaz, Serkan, Mat, Kamarulzaman, Beng, Gan Kok, Soliman, Mohamed S

“…Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring…”
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HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images by 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.

“…Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques…”
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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 by 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.

“…The coronavirus disease 2019 (COVID-19) after outbreaking in Wuhan increasingly spread throughout the world. Fast, reliable, and easily accessible clinical…”
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Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique by 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

“…Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical…”
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Evaluation and mitigation of cognitive biases in medical language models by Schmidgall, Samuel, Harris, Carl, Essien, Ime, Olshvang, Daniel, Rahman, Tawsifur, Kim, Ji Woong, Ziaei, Rojin, Eshraghian, Jason, Abadir, Peter, Chellappa, Rama

“…Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However,…”
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QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds by 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

“…Problem-Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a…”
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