Amin Zadeh Shirazi
Amin Zadeh Shirazi
Verified email at unisa.edu.au
Title
Cited by
Cited by
Year
A hybrid intelligent model combining ANN and imperialist competitive algorithm for prediction of corrosion rate in 3C steel under seawater environment
AZ Shirazi, Z Mohammadi
Neural Computing and Applications 28 (11), 3455-3464, 2017
342017
A novel and reliable computational intelligence system for breast cancer detection
A Zadeh Shirazi, SJ Seyyed Mahdavi Chabok, Z Mohammadi
Medical & Biological Engineering & Computing, 2018
182018
DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images
A Zadeh Shirazi, E Fornaciari, NS Bagherian, LM Ebert, B Koszyca, ...
Medical & Biological Engineering & Computing, 2020
112020
An intelligent approach to predict vibration rate in a real gas turbine
AZ Shirazi, M Hatami, M Yaghoobi, SJSM Chabok
Intelligent Industrial Systems 2 (3), 253-267, 2016
92016
An energy-efficient real-time routing protocol for differentiated data in wireless sensor networks
SM Mazinani, A Naderi, M Setoodefar, AZ Shirazi
2012 IEEE 17th International Conference on Engineering of Complex Computer …, 2012
92012
Adaptive-neuro fuzzy inference system (Anfis) model for prediction of blast-induced ground vibration
J Mohebi, A Zadeh Shirazi, H Tabatabaee
Science International 27 (3), 2079-2091, 2015
52015
Protocol stack for nano networks
AZ Shirazi, SM Mazinani, SK Eghbal
2012 International Symposium on Computer, Consumer and Control, 849-853, 2012
42012
The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey
A Zadeh Shirazi, E Fornaciari, MD McDonnell, M Yaghoobi, Y Cevallos, ...
Journal of Personalized Medicine 10 (4), 28, 2020
32020
Health Applications Based on Molecular Communications: A Brief Review
Y Cevallos, L Tello Oquendo, D Inca, D Ghose, A Zadeh Shirazi, ...
2019 IEEE International Conference on E-health Networking, Application …, 2020
22020
An optimized adaptive-neuro fuzzy inference system (ANFIS) for reliable prediction of entrance length in pipes
AZ Shirazi, M Tofighi, S Ganjefar, SJS Mahdavi
Int. J. Enhanc. Res. Sci. Technol. Eng 3 (9), 79-89, 2014
22014
A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor …
A Zadeh Shirazi, MD McDonnell, E Fornaciari, NS Bagherian, KG Scheer, ...
British Journal of Cancer, 2021
12021
Deep learning in Precision Medicine
A Zadeh Shirazi, E Fornaciari, G Gomez
artificial intelligence in precision health (From concept to applications …, 2020
1*2020
Adaptive Majority-Based Re-Routing For Differentiated Reliability In Wireless Sensor Networks
A Naderi, SM Mazinani, AZ Shirazi, M Setoodefar, M Faghihnia
2012 IEEE 17th International Conference on Engineering of Complex Computer …, 2012
12012
Abstract PO-004: A deep convolutional neural network for segmentation of whole-slide pathology images in glioblastoma
AZ Shirazi, MD McDonnell, E Fornaciari, NS Bagherian, KG Scheer, ...
Clinical Cancer Research 27 (5 Supplement), PO-004-PO-004, 2021
2021
On the efficient digital code representation in DNA-based data storage
Y Cevallos, L Tello-Oquendo, D Inca, N Samaniego, I Santillán, ...
Proceedings of the 7th ACM International Conference on Nanoscale Computing …, 2020
2020
An Intelligent Model for Predicting the Effect of Some Effective Parameters on Anti-Surge Control in Centrifugal Compressors
A Zadeh Shirazi, M Hatami, A Pishro-Asl
International Robotics & Automation Journal 3 (3), 1-6, 2017
2017
Gas transportation pipelines network cost reduction using genetic algorithm
AZ Shirazi, A Ferdosi, SJSM Chabok
Data security video with encryption based on fractal sequences and hyper-chaos functions
M Shahrokhi, AZ Shirazi
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Articles 1–18