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Alireza Sadeghian

Showing results (1-10 of 16) with videos related to

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European Urology|May 12, 2020
Re: Artificial Intelligence for Diagnosis and Grading of Prostate Cancer in Biopsies: A Population-based, Diagnostic StudyAlexandre R Zlotta, Alireza Sadeghian
IEEE Transactions on Neural Networks and Learning Systems|April 17, 2015
Entropic One-Class ClassifiersLorenzo Livi, Alireza Sadeghian, Witold Pedrycz
IEEE Transactions on Bio-Medical Engineering|January 14, 2016
Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal SignaturesLorenzo Livi, Alireza Sadeghian, Hamid Sadeghian
Advances in Neurobiology|March 12, 2024
Fractal Geometry Meets Computational Intelligence: Future PerspectivesLorenzo Livi, Alireza Sadeghian, Antonio Di Ieva
Neural Networks : the Official Journal of the International Neural Network Society|July 15, 2010
Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networksMahmood Amiri, Hamed Davande, Alireza Sadeghian, et al.
Food Science & Nutrition|June 3, 2017
Physicochemical, functional, and nutritional characteristics of stabilized rice bran form tarom cultivarAli Rafe, Alireza Sadeghian, Seyedeh Zohreh Hoseini-Yazdi
Journal of Texture Studies|May 31, 2017
Effects of high amylose corn starch and microbial transglutaminase on the textural and microstructural properties of wheat flour composite gels at high temperaturesLida Shahsavani Mojarrad, Ali Rafe, Alireza Sadeghian, et al.
Brain Informatics|July 2, 2021
A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sportsKayvan Tirdad, Alex Dela Cruz, Alireza Sadeghian, et al.
Journal of Biomolecular Structure & Dynamics|October 17, 2015
A generative model for protein contact networksLorenzo Livi, Enrico Maiorino, Alessandro Giuliani, et al.
Pituitary|January 8, 2020
Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directionsAshirbani Saha, Samantha Tso, Jessica Rabski, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
European Urology|May 12, 2020
Re: Artificial Intelligence for Diagnosis and Grading of Prostate Cancer in Biopsies: A Population-based, Diagnostic StudyAlexandre R Zlotta, Alireza Sadeghian
IEEE Transactions on Neural Networks and Learning Systems|April 17, 2015
Entropic One-Class ClassifiersLorenzo Livi, Alireza Sadeghian, Witold Pedrycz
IEEE Transactions on Bio-Medical Engineering|January 14, 2016
Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal SignaturesLorenzo Livi, Alireza Sadeghian, Hamid Sadeghian
Advances in Neurobiology|March 12, 2024
Fractal Geometry Meets Computational Intelligence: Future PerspectivesLorenzo Livi, Alireza Sadeghian, Antonio Di Ieva
Neural Networks : the Official Journal of the International Neural Network Society|July 15, 2010
Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networksMahmood Amiri, Hamed Davande, Alireza Sadeghian, et al.
Food Science & Nutrition|June 3, 2017
Physicochemical, functional, and nutritional characteristics of stabilized rice bran form tarom cultivarAli Rafe, Alireza Sadeghian, Seyedeh Zohreh Hoseini-Yazdi
Journal of Texture Studies|May 31, 2017
Effects of high amylose corn starch and microbial transglutaminase on the textural and microstructural properties of wheat flour composite gels at high temperaturesLida Shahsavani Mojarrad, Ali Rafe, Alireza Sadeghian, et al.
Brain Informatics|July 2, 2021
A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sportsKayvan Tirdad, Alex Dela Cruz, Alireza Sadeghian, et al.
Journal of Biomolecular Structure & Dynamics|October 17, 2015
A generative model for protein contact networksLorenzo Livi, Enrico Maiorino, Alessandro Giuliani, et al.
Pituitary|January 8, 2020
Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directionsAshirbani Saha, Samantha Tso, Jessica Rabski, et al.
Pageof 2