18 citations · 22 across the 5 of their papers we have counts for
5 papers
Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof
Aman Swaraj, Arnav Agarwal, Hitendra Singh Bhadouria +2
Purpose: Rapid and reliable diagnostic tools are crucial for managing respiratory diseases like COVID-19, where chest X-ray analysis coupled with artificial intelligence techniques…
Classification of COVID-19 Patients with their Severity Level from Chest CT Scans using Transfer Learning
Mansi Gupta, Aman Swaraj, Karan Verma
Background and Objective: During pandemics, the use of artificial intelligence (AI) approaches combined with biomedical science play a significant role in reducing the burden on th…
COVID-19 Severity Classification on Chest X-ray Images
Aditi Sagar, Aman Swaraj, Karan Verma
Biomedical imaging analysis combined with artificial intelligence (AI) methods has proven to be quite valuable in order to diagnose COVID-19. So far, various classification models…
Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation
Aman Swaraj, Karan Verma
Background and Objective: Artificial intelligence (AI) methods coupled with biomedical analysis has a critical role during pandemics as it helps to release the overwhelming pressur…
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases
Samyak Prajapati, Aman Swaraj, Ronak Lalwani +2
Time series forecasting methods play critical role in estimating the spread of an epidemic. The coronavirus outbreak of December 2019 has already infected millions all over the wor…