no code implementations • 10 Sep 2020 • Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka
We also provide a visualization of the attention maps of the model for several test images, and show that our model is attending to the infected regions as intended.
1 code implementation • 24 Jul 2020 • Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka
Through experimental results on a relatively large-scale CT segmentation dataset of around 900 images, we show that adding this new regularization term leads to 2\% gain on overall segmentation performance compared to the U-Net model.
1 code implementation • 20 Apr 2020 • Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi
In this work, we propose a model based on sentence Transformer to detect the main topics of Tweets in recent months.
no code implementations • 12 Mar 2020 • Mansooreh Montazerin, Zahra Sajjadifar, Elias Khalili Pour, Hamid Riazi-Esfahani, Tahereh Mahmoudi, Hossein Rabbani, Hossein Movahedian, Alireza Dehghani, Mohammadreza Akhlaghi, Rahele Kafieh
The amount of time (seconds) that Livelayer required for segmentation of ILM, IPL-INL, OPL-ONL was much less than that for the manual segmentation, 5s for the ILM (minimum) and 15. 57s for the OPL-ONL (maximum).
no code implementations • 16 Mar 2019 • Elahe Mousavi, Rahele Kafieh, Hossein Rabbani
With the aim of automatic classification of DME, AMD and normal subjects from Optical Coherence Tomography (OCT) images, we proposed a classification algorithm.