1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography
Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima +5
Research studies of artificial intelligence models in medical imaging have been hampered by poor generalization. This problem has been especially concerning over the last year with…
cs.CV2020
Automatic phantom test pattern classification through transfer learning with deep neural networks
Rafael B. Fricks, Justin Solomon, Ehsan Samei
Imaging phantoms are test patterns used to measure image quality in computer tomography (CT) systems. A new phantom platform (Mercury Phantom, Gammex) provides test patterns for es…