activity
20202022
most citedTransfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

641 citations · 952 across the 10 of their papers we have counts for

collaborators

12 papers

cs.LG20222 cited

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis

Md Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz +7

The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded usin…

eess.SP2022

Blind ECG Restoration by Operational Cycle-GANs

Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince +8

Continuous long-term monitoring of electrocardiography (ECG) signals is crucial for the early detection of cardiac abnormalities such as arrhythmia. Non-clinical ECG recordings acq…

eess.IV2021

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar +11

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and he…

cs.LG20211 cited

A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model

Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury +4

Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of th…

eess.IV2021

Detection and severity classification of COVID-19 in CT images using deep learning

Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury +7

Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage i…

cs.LG2020

Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning

Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid +5

Cardiovascular diseases (CVDs) are the main cause of deaths all over the world. Heart murmurs are the most common abnormalities detected during the auscultation process. The two wi…