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Field: Radiology, Nuclear Medicine and Imaging

Prognostic Importance of Postbypass Regional Wall-Motion Abnormalities in Patients Undergoing Coronary Artery Bypass Graft Surgery

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Jacqueline M. Leung, Brian O’Kelly, Warren S. Browner, Julio F. Tubau et al.

Journal: Anesthesiology
Year: 1989
Citations: 253

Regional wall motion abnormalities (RWMA) detected by intraoperative transesophageal echocardiography (TEE) are thought to be sensitive markers of myocardial ischemia. To assess the prognostic significance of RWMA as compared with other less costly technologies such as electrocardiography (ECG) and ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery

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L. J. Muhammad, Md. Milon Islam, Sani Sharif Usman, Safial Islam Ayon

Journal: SN Computer ScienceYear: 2020Citations: 245

Novel coronavirus (COVID-19 or 2019-nCoV) pandemic has neither clinically proven vaccine nor drugs; however, its patients are recovering with the aid of antibiotic medications, anti-viral drugs, and chloroquine as well as vitamin C supplementation. It is now evident that the world needs a speedy and...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network

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Mohammad Marufur Rahman, Md. Motaleb Hossen Manik, Md. Milon Islam, Saifuddin Mahmud et al.

Journal: 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)Year: 2020Citations: 209

COVID-19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. The impact of COVID-19 has been fallen on almost all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of this...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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The Evolution of Lamellar Grafting Techniques Over Twenty-five Years

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Mark A. Terry

Journal: CorneaYear: 2000Citations: 198

The history of lamellar keratoplasty (LK) surgery spans over 100 years, and the advantages of lamellar surgery have long been known. The surgery is usually used for tectonic purposes; however, new techniques and technology over the past 25 years have expanded the applications of LK in optical rehabi...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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COVID-19 infection localization and severity grading from chest X-ray images

Verified

Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman et al.

Journal: Qatar University QSpace (Qatar University)Year: 2022Citations: 194

The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic imaging has become a necessity for screening and monitoring the disease. Numerous...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

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Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, Niloy Irtisam

Journal: Robotics and Autonomous SystemsYear: 2021Citations: 192

The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st century, probably the most significant global crisis after the second world war. The rapid spreading capability of the virus has compelled the world population to maintain strict preventive measures. The outrage ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

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Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.

Journal: SensorsYear: 2021Citations: 181

Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier d...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images

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F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, Kawsar Ahmed et al.

Journal: Computers in Biology and MedicineYear: 2023Citations: 175

In this study, multiple lung diseases are diagnosed with the help of the Neural Network algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia, Pneumothorax, Atelectasis, Edema, Effusion, Hernia, Cardiomegaly, Pulmonary Fibrosis, Nodule, and Consolidation, are studied ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Left ventricular hypertrophy: Effect on survival

Verified

Jay M. Sullivan, Roger Vander Zwaag, Faten El-Zeky, Kodangudi B. Ramanathan et al.

Journal: Journal of the American College of CardiologyYear: 1993Citations: 172

Objectives The aim of the study was to determine whether left ventricular hypertrophy has an independent adverse effect on survival. Background Left ventricular hypertrophy is considered to be a significant risk factor for coronary heart disease mortality; however, the impact of coexisting coronary ...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

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Iqbal H. Sarker

Journal: Preprints.orgYear: 2021Citations: 168

Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or Industry 4.0). Due to its learning capabilities from data, DL technology originated from artificial neural network (ANN),...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

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Md. Martuza Ahamad, Sakifa Aktar, Md. Rashed-Al-Mahfuz, Shahadat Uddin et al.

Journal: Expert Systems with ApplicationsYear: 2020Citations: 168

Highlights • Machine learning was used to develop models to predict COVID-19 positive patient.• Features were extracted from patient data using string matching algorithms.• Constructed a novel dataset from unstructured hospitalized patient information.• Used descriptive statistical analysis for freq...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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The effects of low-level laser irradiation on differentiation and proliferation of human bone marrow mesenchymal stem cells into neurons and osteoblasts—an in vitro study

Verified

Masoud Soleimani, E Abbasnia, Mehdi Fathi, Hedayat Sahraei et al.

Journal: Lasers in Medical ScienceYear: 2011Citations: 168

Bone marrow-derived mesenchymal stem cells (BMSCs) are promising for use in regenerative medicine. Several studies have shown that low-level laser irradiation (LLLI) could affect the differentiation and proliferation of MSCs. The aim of this study was to examine the influence of LLLI at different en...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers

Verified

Prottoy Saha, Muhammad Sheikh Sadi, Md. Milon Islam

Journal: Informatics in Medicine UnlockedYear: 2020Citations: 161

Recently, coronavirus disease (COVID-19) has caused a serious effect on the healthcare system and the overall global economy. Doctors, researchers, and experts are focusing on alternative ways for the rapid detection of COVID-19, such as the development of automatic COVID-19 detection systems. In th...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images

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Kabid Hassan Shibly, Samrat Kumar Dey, Md Tahzib-Ul Islam, Md Mahbubur Rahman

Journal: Informatics in Medicine UnlockedYear: 2020Citations: 159

COVID-19 or novel coronavirus disease, which has already been declared as a worldwide pandemic, at first had an outbreak in a large city of China, named Wuhan. More than two hundred countries around the world have already been affected by this severe virus as it spreads by human interaction. Moreove...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

Verified

Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman, Md. Omaer Faruq Goni et al.

Journal: Computers in Biology and MedicineYear: 2022Citations: 155

Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic patients. Early detection of the DR can save many patients from permanent blindness. Various artificial intelligent based systems have been proposed and they outperform human analysis in accurate detection of the DR. ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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