no code implementations • 17 May 2023 • Marziyeh Rezaei, Sevda Molani, Negar Firoozeh, Hossein Abbasi, Farzan Vahedifard, Maysam Orouskhani
Du e to rapid population growth and the need to use artificial intelligence to make quick decisions, developing a machine learning-based disease detection model and abnormality identification system has greatly improved the level of medical diagnosis Since COVID-19 has become one of the most severe diseases in the world, developing an automatic COVID-19 detection framework helps medical doctors in the diagnostic process of disease and provides correct and fast results.
no code implementations • 16 May 2023 • Firoozeh Shomal Zadeh, Sevda Molani, Maysam Orouskhani, Marziyeh Rezaei, Mehrzad Shafiei, Hossein Abbasi
In medical imaging, image synthesis is the estimation process of one image (sequence, modality) from another image (sequence, modality).
no code implementations • Proceedings of International Conference on Recent Trends in Computing 2022 • Firoozeh Shomal Zadeh, Sevda Molani, Maysam Orouskhani, Marziyeh Rezaei, Mehrzad Shafiei, Hossein Abbasi
In medical imaging, image synthesis is the estimation process of one image (sequence, modality) from another image (sequence, modality).
no code implementations • 14 Jan 2022 • Andrew Baumgartner, Sevda Molani, Qi Wei, Jennifer Hadlock
We present a simple yet novel time series imputation technique with the goal of constructing an irregular time series that is uniform across every sample in a data set.