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PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer
by
Negahbani, Farzin
,
Sabzi, Rasool
,
Pakniyat Jahromi, Bita
,
Firouzabadi, Dena
,
Movahedi, Fateme
,
Kohandel Shirazi, Mahsa
,
Majidi, Shayan
,
Dehghanian, Amirreza
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Scientific reports
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Deep learning methods for inverse problems
by
Kamyab, Shima
,
Azimifar, Zohreh
,
Sabzi, Rasool
,
Fieguth, Paul
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PeerJ. Computer science
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Combining convolutional neural networks with SVM classifier for recognizing Persian and Arabic handwritten words
by
Golzari, Shahram
,
Khalili, Abdullah
,
Sabzi, Rasool
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Multimedia tools and applications
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Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering
by
Kamyab, Shima
,
Sabzi, Rasool
,
Azimifar, Zohreh
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Survey of Deep Learning Methods for Inverse Problems
by
Kamyab, Shima
,
Azimifar, Zohreh
,
Sabzi, Rasool
,
Fieguth, Paul
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arXiv.org
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PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline
by
Negahbani, Farzin
,
Sabzi, Rasool
,
Jahromi, Bita Pakniyat
,
Movahedi, Fateme
,
Mahsa Kohandel Shirazi
,
Majidi, Shayan
,
Firouzabadi, Dena
,
Amirreza Dehghanian
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arXiv.org
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Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering
by
Kamyab, Shima
,
Sabzi, Rasool
,
Azimifar, Zohreh
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arXiv.org
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