Tawsifur Rahman
Orcid: 0000-0002-6938-6496
According to our database1,
Tawsifur Rahman
authored at least 31 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2023
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data.
Neural Comput. Appl., August, 2023
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.
Biomed. Signal Process. Control., 2023
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study.
IEEE Access, 2023
2022
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
Sensors, 2022
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images.
Sensors, 2022
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques.
Sensors, 2022
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.
Health Inf. Sci. Syst., 2022
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images.
Cogn. Comput., 2022
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.
Comput. Biol. Medicine, 2022
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images.
IEEE Access, 2022
2021
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
CoRR, 2021
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Comput. Biol. Medicine, 2021
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.
Comput. Biol. Medicine, 2021
A machine learning model for early detection of diabetic foot using thermogram images.
Comput. Biol. Medicine, 2021
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations.
Comput. Biol. Medicine, 2021
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters.
IEEE Access, 2021
2020
Sensors, 2020
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images.
CoRR, 2020
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning.
CoRR, 2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization.
CoRR, 2020
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray.
CoRR, 2020
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization.
IEEE Access, 2020