Browsing by Author "Rahman, Tawsifur"
Now showing items 1-20 of 23
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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
Hossain, Amran; Islam, Mohammad T.; Abdul Rahim, Sharul K.; Rahman, Md A.; Rahman, Tawsifur; Arshad, Haslina; Khandakar, Amit; Ayari, Mohamed A.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2023 , Article)Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight ... -
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
Haque, Fahmida; Ibne Reaz, Mamun Bin; Chowdhury, Muhammad E.H.; Md Ali, Sawal Hamid; Ashrif A Bakar, Ahmad; Rahman, Tawsifur; Kobashi, Syoji; Dhawale, Chitra A.; Sobhan Bhuiyan, Mohammad Arif... more authors ... less authors ( Elsevier , 2021 , Article)Background: Diabetic Sensorimotor polyneuropathy (DSPN) is one of the major indelible complications in diabetic patients. Michigan neuropathy screening instrumentation (MNSI) is one of the most common screening techniques ... -
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Kiranyaz, Serkan; Rahman, Tawsifur; Chowdhury, Moajjem H.; Ayari, Mohamed A.; Alfkey, Rashad; Bakar, Ahmad Ashrif A.; Malik, Rayaz A.; Hasan, Anwarul... more authors ... less authors ( MDPI , 2022 , Article)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 diabetic foot, leading to plantar ulcers, amputation, and death. ... -
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Mahmud, Sakib; Ibtehaz, Nabil; Khandakar, Amith; Tahir, Anas M.; Rahman, Tawsifur; Islam, Khandaker R.; Hossain, Md S.; Rahman, M. S.; Musharavati, Farayi; Ayari, Mohamed A.; Islam, Mohammad T.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2022 , Article)Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ... -
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Khandakar, Amith; Ayari, Mohamed A.; Khan, Aftab U.; Khan, Muhammad S.; Al-Emadi, Nasser; Reaz, Mamun B.; Islam, Mohammad T.; Ali, Sawal H.... more authors ... less authors ( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ... -
Blind ECG Restoration by Operational Cycle-GANs
Kiranyaz, Serkan; Devecioglu, Ozer Can; Ince, Turker; Malik, Junaid; Chowdhury, Muhammad; Hamid, Tahir; Mazhar, Rashid; Khandakar, Amith; Tahir, Anas; Rahman, Tawsifur; Gabbouj, Moncef... more authors ... less authors ( IEEE Computer Society , 2022 , Article)Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ... -
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Rahman, Tawsifur; Akinbi, Alex; Chowdhury, Muhammad E. H.; Rashid, Tarik A.; Şengür, Abdulkadir; Khandakar, Amith; Islam, Khandaker Reajul; Ismael, Aras M.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ... -
Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images
Salman Khan, Muhammad; Ullah, Azmat; Khan, Kaleem N.; Riaz, Huma; Yousafzai, Yasar M.; Rahman, Tawsifur; Chowdhury, Muhammad E. H.; Abul Kashem, Saad B.... more authors ... less authors ( MDPI , 2022 , Article)Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically ... -
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study
Rahman, Tawsifur; Al-Ruweidi, Mahmoud Khatib A.A.; Sumon, Md Shaheenur Islam; Kamal, Reema Yousef; Chowdhury, Muhammad E.H.; Yalcin, Huseyin C.... more authors ... less authors ( IEEE , 2023 , Article)Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age. Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current diagnosis is based on qualitative criteria, ... -
DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps
Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun Bin Ibne; Kiranyaz, Serkan; Hasan, Anwarul; Rahman, Tawsifur; Ali, Sawal Hamid Md.; Razak, Mohd Ibrahim bin Shapiai @ Abd.; Bakar, Ahmad Ashrif A.; Podder, Kanchon Kanti; Chowdhury, Moajjem Hossain; Faisal, Md. Ahasan Atick; Malik, Rayaz A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Diabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations ... -
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
Chowdhury, Muhammad E.H.; Rahman, Tawsifur; Khandakar, Amith; Al-Madeed, Somaya; Zughaier, Susu M.; Doi, Suhail A.R.; Hassen, Hanadi; Islam, Mohammad T.... more authors ... less authors ( Springer , 2021 , Article)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 ... -
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
Najmi, Maryam; Ayari, Mohamed A.; Sadeghsalehi, Hamidreza; Vaferi, Behzad; Khandakar, Amith; Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Jawhar, Zanko H.... more authors ... less authors ( MDPI , 2022 , Article)Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ... -
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
Wang, Jing; Ayari, Mohamed A.; Khandakar, Amith; Chowdhury, Muhammad E. H.; Uz Zaman, Sm A.; Rahman, Tawsifur; Vaferi, Behzad... more authors ... less authors ( MDPI , 2022 , Article)Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ... -
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
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.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)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 ... -
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Bidmos, Mubarak A.; Olateju, Oladiran I.; Latiff, Sabiha; Rahman, Tawsifur; Chowdhury, Muhammad E.H. ( Springer Nature , 2022 , Article)Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ... -
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
Sakib, Mahmud; Ibtehaz, Nabil; Khandakar, Amith; Sohel Rahman, M.; JR. Gonzales, Antonio; Rahman, Tawsifur; Shafayet Hossain, Md; Sakib Abrar Hossain, Md.; Ahasan Atick Faisal, Md.; Fuad Abir, Farhan; Musharavati, Farayi; E. H. Chowdhury, Muhammad... more authors ... less authors ( Elsevier , 2022 , Article)Backgroundand Motivations: Continuous Blood Pressure (BP) monitoring is crucial for real-time health tracking, especially for people with hypertension and cardiovascular diseases (CVDs). The current cuff-based BP monitoring ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
Hosseini, Saleh; Khandakar, Amith; Chowdhury, Muhammad E.H.; Ayari, Mohamed Arselene; Rahman, Tawsifur; Chowdhury, Moajjem Hossain; Vaferi, Behzad... more authors ... less authors ( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ... -
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
Islam, Khandaker R.; Kumar, Jaya; Tan, Toh L.; Reaz, Mamun B.; Rahman, Tawsifur; Khandakar, Amith; Abbas, Tariq; Hossain, Md. S.; Zughaier, Susu M.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2022 , Article)With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ... -
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
Rahman, Tawsifur; Khandakar, Amith; Kadir, Muhammad Abdul; Islam, Khandaker Rejaul; Islam, Khandakar F.; Mazhar, Rashid; Hamid, Tahir; Islam, Mohammad Tariqul; Kashem, Saad; Mahbub, Zaid Bin; Ayari, Mohamed Arselene; Chowdhury, Muhammad E. H.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)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 detection of TB is very important, otherwise, it could be life-threatening. ... -
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
Rahman, Tawsifur; Khandakar, Amith; Rahman, Ashiqur; Zughaier, Susu M.; Al Maslamani, Muna; Chowdhury, Moajjem Hossain; Tahir, Anas M.; Hossain, Md Sakib Abrar; Chowdhury, Muhammad E.H.... more authors ... less authors ( Springer Nature , 2024 , Article)Tuberculosis (TB) is a chronic infectious lung disease, which caused the death of about 1.5 million people in 2020 alone. Therefore, it is important to detect TB accurately at an early stage to prevent the infection and ...