Compressed sensing in parallel MRI: A review

R Islam, MS Islam, MS Uddin - International Journal of Image and …, 2022 - World Scientific
Magnetic resonance imaging (MRI) is a dynamic and safe imaging technique in medical
imaging. Recently, parallel MRI (pMRI) is widely used for accelerating conventional MRI …

Transfer learning model in deep neural network for covid-19 prediction from ct images

R Islam, Z Islam, MR Uddin… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Deep learning models are often used to process radi-ological images automatically and can
accurately train networks' weights on appropriate datasets. One of the significant benefits of …

Transfer Learning in Deep Neural Network Model of ECG Signal Classification

R Islam, M Rahman, SM Ismail… - … Conference on Recent …, 2022 - ieeexplore.ieee.org
An electrocardiogram (ECG) is a simple test that can be used to evaluate a patient's cardiac
rhythm and electrical activity. Cardiologists and medical practitioners now frequently employ …

Noise-residue learning convolutional network model for magnetic resonance image enhancement

R Singh, L Kaur - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Abstract Magnetic Resonance Image (MRI) is an important medical image acquisition
technique used to acquire high contrast images of human body anatomical structures and …

Prediction of Pneumonia from 3D CT Images Employing Deep Neural Network based Feature Extraction Method

TK Sima, R Islam - 2023 26th International Conference on …, 2023 - ieeexplore.ieee.org
Pneumonia is an inflammatory lung infection that can cause life-threatening consequences
such as difficulty breathing, fever, and chest pain. Early detection enables timely action …

Deep Neural Network based Algorithm for Stroke Prediction

R Islam, A Hossain, MS Haque - … International Conference on …, 2022 - ieeexplore.ieee.org
A Stroke is a medical condition where the brain's blood supply pathways burst, causing
brain damage. When the brain's flow of blood and other supplies is hampered, adverse …