no code implementations • 7 Nov 2021 • Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul Fieguth
In this paper we investigate a variety of deep learning strategies for solving inverse problems.
1 code implementation • 9 Oct 2020 • Farzin Negahbani, Rasool Sabzi, Bita Pakniyat Jahromi, Fateme Movahedi, Mahsa Kohandel Shirazi, Shayan Majidi, Dena Firouzabadi, Amirreza Dehghanian
The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as prognostic factors in predicting tumor progression and its treatment response.
no code implementations • 11 Mar 2019 • Shima Kamyab, Rasool Sabzi, Zohreh Azimifar
Deep generative models are stochastic neural networks capable of learning the distribution of data so as to generate new samples.