Rasool Sabzi

Deep learning methods for inverse problems

P. Fieguth, Z. Azimifar, S. Kamyab, 2022, PeerJ Comput. Sci..

PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer

F. Movahedi, A. Dehghanian, Rasool Sabzi, 2021, Scientific Reports.

PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline

Bita Pakniyat Jahromi, Mahsa Kohandel Shirazi, F. Movahedi, 2020, ArXiv.

Combining convolutional neural networks with SVM classifier for recognizing Persian and Arabic handwritten words

S. Golzari, Abdullah Khalili, Rasool Sabzi, 2022, Multimedia tools and applications.

Recognizing Persian handwritten words using deep convolutional networks

Shahram Golzari, Abdullah Khalili, Shahin Akbarpour, 2017, 2017 Artificial Intelligence and Signal Processing Conference (AISP).

Survey of Deep Learning Methods for Inverse Problems pdf

Paul Fieguth, Shima Kamyab, Rasool Sabzi, 2021, ArXiv.