304 citations · 357 across the 16 of their papers we have counts for
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Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality
Parnian Afshar, Jenny Yeon, Andriy Levitskyy +2
We focus on addressing the challenges in responsible beauty product recommendation, particularly when it involves comparing the product's color with a person's skin tone, such as f…
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani +3
Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly changed the world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely contagious…
Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries
Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi
According to official statistics, cancer is considered as the second leading cause of human fatalities. Among different types of cancer, brain tumor is seen as one of the deadliest…
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities
Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +2
Recent advancements in signal processing and machine learning coupled with developments of electronic medical record keeping in hospitals and the availability of extensive set of m…
Brain Tumor Type Classification via Capsule Networks
Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis
Brain tumor is considered as one of the deadliest and most common form of cancer both in children and in adults. Consequently, determining the correct type of brain tumor in early…