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20182023
most citedChest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network

10 citations · 27 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

eess.IV2023★ 2 cited

Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis

Xiao Qi, David J. Foran, John L. Nosher +1

Under the global COVID-19 crisis, accurate diagnosis of COVID-19 from Chest X-ray (CXR) images is critical. To reduce intra- and inter-observer variability, during the radiological…

eess.IV2023★ 2 cited

Augmenting endometriosis analysis from ultrasound data with deep learning

Adrian Balica, Jennifer Dai, Kayla Piiwaa +5

Endometriosis is a non-malignant disorder that affects 176 million women globally. Diagnostic delays result in severe dysmenorrhea, dyspareunia, chronic pelvic pain, and infertilit…