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Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review.

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Title: Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review.
Authors: Valizadeh, Gelareh1, gvalizadeh@gmail.com, Elahi, Reza1,2, rezaelahi96research@yahoo.com, Hasankhani, Zahra3, zahrahasankhani90@gmail.com, Rad, Hamidreza Saligheh1, hamid.saligheh@gmail.com, Shalbaf, Ahmad4, shalbaf@sbmu.ac.ir
Source: Archives of Computational Methods in Engineering; Mar2025, Vol. 32 Issue 2, p1229-1298, 70p
Database: Applied Science & Technology Source
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  Data: Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review.
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  Data: <searchLink fieldCode="JN" term="%22Archives+of+Computational+Methods+in+Engineering%22">Archives of Computational Methods in Engineering</searchLink>; Mar2025, Vol. 32 Issue 2, p1229-1298, 70p
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        Value: 10.1007/s11831-024-10176-6
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      – Code: eng
        Text: English
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        PageCount: 70
        StartPage: 1229
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      – TitleFull: Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review.
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            NameFull: Valizadeh, Gelareh
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            NameFull: Elahi, Reza
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            NameFull: Hasankhani, Zahra
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            NameFull: Rad, Hamidreza Saligheh
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            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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