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Rasool Sabzi
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2020 – today
- 2022
- [j2]Shahram Golzari, Abdullah Khalili, Rasool Sabzi:
Combining convolutional neural networks with SVM classifier for recognizing Persian and Arabic handwritten words. Multim. Tools Appl. 81(23): 33785-33799 (2022) - [j1]Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth:
Deep learning methods for inverse problems. PeerJ Comput. Sci. 8: e951 (2022) - 2021
- [i3]Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth:
Survey of Deep Learning Methods for Inverse Problems. CoRR abs/2111.04731 (2021) - 2020
- [i2]Farzin Negahbani, Rasool Sabzi, Bita Pakniyat Jahromi, Fatemeh Movahedi, Mahsa Kohandel Shirazi, Shayan Majidi, Dena Firouzabadi, Amirreza Dehganian:
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline. CoRR abs/2010.04713 (2020)
2010 – 2019
- 2019
- [i1]Shima Kamyab, Rasool Sabzi, Zohreh Azimifar:
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering. CoRR abs/1903.04144 (2019)
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last updated on 2024-04-24 23:09 CEST by the dblp team
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