Search Results - "Zadeh Shirazi, Amin"

A hybrid intelligent model combining ANN and imperialist competitive algorithm for prediction of corrosion rate in 3C steel under seawater environment by Zadeh Shirazi, Amin, Mohammadi, Zahra

“…There are species of carbon steel in the industry suffering from corrosion phenomena under seawater environment. In this paper, for purposes of the prediction…”
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A novel and reliable computational intelligence system for breast cancer detection by Zadeh Shirazi, Amin, Seyyed Mahdavi Chabok, Seyyed Javad, Mohammadi, Zahra

“…Cancer is the second important morbidity and mortality factor among women and the most incident type is breast cancer. This paper suggests a hybrid…”
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A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma by Zadeh Shirazi, Amin, McDonnell, Mark D., Fornaciari, Eric, Bagherian, Narjes Sadat, Scheer, Kaitlin G., Samuel, Michael S., Yaghoobi, Mahdi, Ormsby, Rebecca J., Poonnoose, Santosh, Tumes, Damon J., Gomez, Guillermo A.

“…Background Glioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid…”
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DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images by Zadeh Shirazi, Amin, Fornaciari, Eric, Bagherian, Narjes Sadat, Ebert, Lisa M., Koszyca, Barbara, Gomez, Guillermo A.

“…Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its…”
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The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide by Zadeh Shirazi, Amin, Tofighi, Morteza, Gharavi, Alireza, Gomez, Guillermo A

“…Advancements in AI have notably changed cancer research, improving patient care by enhancing detection, survival prediction, and treatment efficacy. This…”
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DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues by Mahdi-Esferizi, Roohallah, Haji Molla Hoseyni, Behnaz, Mehrpanah, Amir, Golzade, Yazdan, Najafi, Ali, Elahian, Fatemeh, Zadeh Shirazi, Amin, Gomez, Guillermo A, Tahmasebian, Shahram

“…P4 medicine (predict, prevent, personalize, and participate) is a new approach to diagnosing and predicting diseases on a patient-by-patient basis. For the…”
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The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey by Zadeh Shirazi, Amin, Fornaciari, Eric, McDonnell, Mark D, Yaghoobi, Mahdi, Cevallos, Yesenia, Tello-Oquendo, Luis, Inca, Deysi, Gomez, Guillermo A

“…In recent years, improved deep learning techniques have been applied to biomedical image processing for the classification and segmentation of different tumors…”
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A brief review on DNA storage, compression, and digitalization by Cevallos, Yesenia, Nakano, Tadashi, Tello-Oquendo, Luis, Rushdi, Ahmad, Inca, Deysi, Santillán, Ivone, Shirazi, Amin Zadeh, Samaniego, Nicolay

“…Deoxyribonucleic acid (DNA) comprises four nucleotides and twenty amino acids (a combination of nucleotides) that generate living organisms’ structures. These…”
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Abstract PO-004: A deep convolutional neural network for segmentation of whole-slide pathology images in glioblastoma by Shirazi, Amin Zadeh, McDonnell, Mark D., Fornaciari, Eric, Bagherian, Narjes Sadat, Scheer, Kaitlin G., Samuel, Michael S., Yaghoobi, Mahdi, Ormsby, Rebecca J., Poonnoose, Santosh, Tumes, Damon, Gomez, Guillermo A.

“…Glioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid growth and…”
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Health Applications Based on Molecular Communications: A Brief Review by Cevallos, Yesenia, Tello-Oquendo, Luis, Inca, Deysi, Ghose, Debasish, Shirazi, Amin Zadeh, Gomez, Guillermo A.

“…This work analyses significant cases in which applications of molecular communication systems to nano/bio-hybrid medical field represent an ideal solution for…”
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An Energy-Efficient Real-Time Routing Protocol for Differentiated Data in Wireless Sensor Networks by Mazinani, Sayyed Majid, Naderi, Ali, Setoodefar, Masood, Shirazi, Amin Zadeh

“…Many wireless sensor network (WSN) applications require real-time communication. One of the most important and challenging issues in real-time applications of…”
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Adaptive Majority-Based Re-routing for Differentiated Reliability in Wireless Sensor Networks by Naderi, Ali, Mazinani, Sayyed Majid, Shirazi, Amin Zadeh, Setoodefar, Masood, Faghihnia, Mahya

“…A good deal of research and development has been carried out in architecture and protocol design, energy saving and location, but only a few studies have been…”
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Protocol Stack for Nano Networks by Shirazi, A. Z., Mazinani, S. M., Eghbal, S. K.

“…Nanotechnologies promise new solutions for several applications in biomedical, industrial and military fields. In this paper, we review nano networks from two…”
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