activity
20192021
most citedTransfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

641 citations · 898 across the 4 of their papers we have counts for

collaborators

6 papers

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.IV2020

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8

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 impo…

eess.SP2020238 cited

Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques

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

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuo…

eess.IV2020641 cited

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5

Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon in the right time and…

cs.LG2020

Can AI help in screening Viral and COVID-19 pneumonia?

Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +9

Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool en…

physics.med-ph201918 cited

Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: an alternative to conventional spiral MR Fingerprinting

Arnold Julian Vinoj Benjamin, Pedro A. Gomez, Mohammad Golbabaee +4

Purpose: To develop an accelerated Cartesian MRF implementation using a multi-shot EPI sequence for rapid simultaneous quantification of T1 and T2 parameters. Methods: The proposed…