Výsledky vyhledávání - "Hassan Homayoun"

Akademický článek

Automated Segmentation of Abnormal Tissues in Medical Images

Autor: Hassan Homayoun, Hossein Ebrahimpour-komleh

Publikováno v: Journal of Biomedical Physics and Engineering, Vol 11, Iss 4, Pp 415-424 (2021)

Nowadays, medical image modalities are almost available everywhere. These modalities are bases of diagnosis of various diseases sensitive to specific tissue type. Usually physicians look for abnormalities in these modalities in diagnostic procedures.

Externí odkaz: https://doaj.org/article/6acceb03f17a46a99e86e76dbe535a67

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Akademický článek

The Role of Artificial Intelligence in Urology Practice

Autor: Hassan Homayoun, Hamidreza Saligheh Rad, Ali Abbasian Ardakani

Publikováno v: Translational Research in Urology, Vol 4, Iss 1, Pp 1-3 (2022)

Almost all medicine practices, including diagnosis, treatment, and prognosis of different diseases, need human attention to be precisely performed. As the number of parameters for medical decision-making increases, medical practices become error-pron

Externí odkaz: https://doaj.org/article/d9f2bfc9d9094295a7fc0035cb8b643d

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Akademický článek

Differential Diagnosis Among Alzheimer's Disease, Mild Cognitive Impairment, and Normal Subjects Using Resting-State fMRI Data Extracted from Multi Subject Dictionary Learning Atlas

Autor: Farzad Alizadeh, Hassan Homayoun, Amir hossein Batouli, Maryam Noroozian, Forough Sodaie, Hanieh Mobarak Salary, Anahita Fathi Kazerooni, Hamidreza Saligheh Rad

Publikováno v: Frontiers in Biomedical Technologies, Vol 9, Iss 4 (2022)

Purpose: A powerful imaging method for evaluating brain patches is resting-state functional magnetic resonance imaging, in which the subject is at rest. Artificial neural networks are one of the several Alzheimer's disease analysis and diagnosis meth

Externí odkaz: https://doaj.org/article/b6bf8101943a453388b5132b5b104e72

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Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study

Autor: Hassan Homayoun, Wai Yee Chan, Taha Yusuf Kuzan, Wai Ling Leong, Kübra Murzoglu Altintoprak, Afshin Mohammadi, Anushya Vijayananthan, Kartini Rahmat, Sook Sam Leong, Mohammad Mirza-Aghazadeh-Attari, Sajjad Ejtehadifar, Fariborz Faeghi, U. Rajendra Acharya, Ali Abbasian Ardakani

Publikováno v: Biocybernetics and Biomedical Engineering. 42:921-933

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a5ef5dc2632c6fddced28b73c60d8d3
https://doi.org/10.1016/j.bbe.2022.07.004

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A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training

Autor: Seyed Jalaleddin Mousavirad, Amir H. Gandomi, Hassan Homayoun

The performance of feed-forward neural networks (FFNN) is directly dependant on the training algorithm. Conventional training algorithms such as gradient-based approaches are so popular for FFNN training, but they are susceptible to get stuck in loca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888d1e9c8e8974d8cd30bfdfd351ea23
https://hdl.handle.net/10453/167780

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Medical Text and Image Processing

Autor: Behzad Soleimani Neysiani, Hassan Homayoun

Publikováno v: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications ISBN: 9781003226147

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55ffba6bec9b1e1b974b3cf0a9ebf554
https://doi.org/10.1201/9781003226147-4

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