no code implementations • 23 Nov 2020 • Rassa Ghavami Modegh, Mehrab Hamidi, Saeed Masoudian, Amir Mohseni, Hamzeh Lotfalinezhad, Mohammad Ali Kazemi, Behnaz Moradi, Mahyar Ghafoori, Omid Motamedi, Omid Pournik, Kiara Rezaei-Kalantari, Amirreza Manteghinezhad, Shaghayegh Haghjooy Javanmard, Fateme Abdoli Nezhad, Ahmad Enhesari, Mohammad Saeed Kheyrkhah, Razieh Eghtesadi, Javid Azadbakht, Akbar Aliasgharzadeh, Mohammad Reza Sharif, Ali Khaleghi, Abbas Foroutan, Hossein Ghanaati, Hamed Dashti, Hamid R. Rabiee
We designed a new interpretable deep neural network to distinguish healthy people, patients with COVID-19, and patients with other pneumonia diseases from axial lung CT-scan images.
no code implementations • 19 May 2018 • Behnaz Moradi, Heman Shakeri, Pietro Poggi-Corradini, Michael Higgins
We investigate the use of two methods for quantifying this richness---loop modulus (LM) and renewal non-backtracking random walks (RNBRW)---to improve the performance of existing community detection algorithms.
Social and Information Networks Physics and Society
