Skip to main content
Soolmaz Abbasi on Muck Rack

Soolmaz Abbasi

As seen in: MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Soolmaz

Contact Soolmaz, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Improved A-Line and B-Line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss

|
By Shrimanti Ghosh, Soolmaz Abbasi, Assefa Seyoum Wahd, Maha Ezzelarab
| MDPI
1. Introduction During the COVID-19 pandemic, healthcare systems faced immense challenges, often operating at full capacity or beyond. One of the key issues was the absence of effective triage methods to quickly identify patients in critical need of care. As COVID-19 primarily affects the respiratory system, lung involvement was recognized as a reliable indicator for assessing disease severity.
Open in Who Shared Issue with article?
See all 1 articles