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Results for “"Tawsifur Rahman"”

28 results

An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning

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Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed et al.

Journal: Cognitive ComputationYear: 2021Citations: 25

COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. In order to study the important blood biomarkers for predicting dis...

Health SciencesMedicineInfectious DiseasesOpen Access
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HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images

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Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman et al.

Journal: IEEE AccessYear: 2022Citations: 24

Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from the drawback of low accuracy, poor inter-observer reliability, delays due to the...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Multidrug-resistant tuberculosis in Bangladesh: results from a sentinel surveillance system

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Sayera Banu, Md Tawsifur Rahman, Shahriar Ahmed, R Khatun et al.

Journal: The International Journal of Tuberculosis and Lung DiseaseYear: 2016Citations: 20

BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) is a serious obstacle to successful TB control. The 2010-2011 Bangladesh Drug Resistance Survey (DRS) showed MDR-TB prevalence to be 7% overall, 1.4% in new and 28.5% in previously treated patients. We aimed to determine the rate of MDR-TB in sel...

Health SciencesMedicineInfectious DiseasesOpen Access
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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: Computers in Biology and MedicineYear: 2021Citations: 14

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 ImagingOpen Access
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Surface plasmon resonance–based biosensor for accurate and rapid detection of Mycobacterium tuberculosis

Verified

Ahmed Afif Rafsan, Sanchita Das, Kowshik Kumar Roy, M Mahdi et al.

Journal: Microchimica ActaYear: 2025Citations: 10

Tuberculosis causes severe health impacts and remains a leading global killer. Delayed diagnosis prolongs infectiousness and worsens patient outcomes, so rapid detection is essential for timely treatment and to curb further spread. This research explores a highly sensitive optical surface plasmon re...

Physical SciencesEngineeringBiomedical Engineering
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Deep learning-based real-time detection and classification of tomato ripeness stages using YOLOv8 on raspberry Pi

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Md. Nahiduzzaman, Rusab Sarmun, Amith Khandakar, Md. Ahasan Atick Faisal et al.

Journal: Engineering Research ExpressYear: 2025Citations: 10

Abstract The automated detection of tomato ripeness is critical in crop management and harvesting. In most earlier works, tomato image ripeness detection has been based upon a limited set of images and binary classification (ripe and unripe). This study uses the cutting-edge YOLOv8 object detection ...

Life SciencesAgricultural and Biological SciencesPlant Science
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Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning

Verified

Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar et al.

Journal: DiagnosticsYear: 2021Citations: 9

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 lung, detect, localize, and quantify COVID-19 infections from computed tomography images. An extensive set of experiments were performed using E...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients

Verified

Johayra Prithula, Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan et al.

Journal: Computers in Biology and MedicineYear: 2024Citations: 8

Sepsis, a life-threatening condition triggered by the body's response to infection, remains a significant global health challenge, annually affecting millions in the United States alone with substantial mortality and healthcare costs. Early prediction of sepsis is critical for timely intervention an...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Wearable Real-Time Epileptic Seizure Detection and Warning System

Verified

Muhammad E. H. Chowdhury, Amith Khandakar, Khawla Alzoubi, Aisha Mohammed et al.

Year: 2022Citations: 6
Life SciencesNeuroscienceCognitive Neuroscience
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Predicting ICU Mortality Among Septic Patients Using Machine Learning Technique

Verified

Aisha A. Al-Ansari, Fatima A. Bahman Nejad, Roudha J. Al-Nasr, Johayra Prithula et al.

Journal: Journal of Clinical MedicineYear: 2025Citations: 4

Introduction: Sepsis leads to substantial global health burdens in terms of morbidity and mortality and is associated with numerous risk factors. It is crucial to identify sepsis at an early stage in order to limit its escalation and sequelae associated with the condition. The purpose of this resear...

Health SciencesMedicineEpidemiologyOpen Access
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Interpretable Deep Learning Model for Tuberculosis Detection Using X-Ray Images

Verified

Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Tawsifur Rahman et al.

Year: 2024Citations: 4
Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Retrospective case study of livestock diseases recorded at Fulbaria upazila veterinary hospital in Mymensingh district of Bangladesh

Verified

R Akter, Tania Soltana, Nazmunnahar Nisa, Tawsifur Rahman et al.

Journal: Bangladesh Journal of Animal ScienceYear: 2024

The present study was undertaken to find out the suspected livestock cases recorded in upazila veterinary hospital from October 1, 2021, to November 30, 2022. The data were collected from the registered book that was maintained at the upazila livestock office. We found that cattle, goats, chickens, ...

Life SciencesImmunology and MicrobiologyMicrobiologyOpen Access
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License plate recognition using machine learning

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Md. Tawsifur Rahman, Ahmed Nur Merag, Ali Muhtasim, Md. Wahidur Rahman Araf et al.

Year: 2023

Car owners altering license plates using different typefaces and designs violate the law that strictly forbids such behaviour. Traffic police officers claim that changing the license plates makes it impossible to read the registration numbers due to an increase in fatal street collisions and car the...

Physical SciencesEngineeringMedia Technology
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