19 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction
Sadaf Khademi, Mehran Shabanpour, Reza Taleei +2
Lung cancer remains one of the leading causes of cancer-related mortality worldwide. A crucial challenge for early diagnosis is differentiating uncertain cases with similar visual…
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction
Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis +1
Drawing inspiration from the primate brain's intriguing evidence accumulation process, and guided by models from cognitive psychology and neuroscience, the paper introduces the NYC…
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…
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…