Editorial: Machine learning methods for human brain imaging

Download

index.pdf

Date

2023-1-01

Author

Yarman Vural, Fatoş Tunay
Newman, Sharlene D.
Çukur, Tolga
Önal Ertugrul, Itır

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

119
views

47
downloads

Subject Keywords

artificial intelligence, deep learning, imaging, machine learning, MRI

URI

https://hdl.handle.net/11511/102753

Journal

Frontiers in Neuroinformatics

DOI

https://doi.org/10.3389/fninf.2023.1154835

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Special issue on swarm robotics Şahin, Erol (Springer Science and Business Media LLC, 2008-08-26)
OBJECTIVE MEASUREMENT OF FABRIC SOFTNESS AND PILLING USING HAND CRAFTED FEATURES AND DEEP LEARNING Mammadli, Seymur; Akyüz, Ahmet Oğuz; Department of Modeling and Simulation (2021-12-09) Fabric softness is a complex tactile sensation perceived by the user even before the fabrics are worn. Softness is usually the property of surface perceived by touching or pressing a finger on the fabric surface. Fabric friction properties significantly affect the tactile sensation of the garments. The yarn used, the finishing works, and the fabric structure (weaving, knitting, etc.) affect the softness. In addition, the hardness of the water used during washing, washing movements, the amount and content of...
Joint and interactive effects of trust and (inter) dependence on relational behaviors in long-term channel dyads Yilmaz, C; Sezen, B; Özdemir, Özlem (Elsevier BV, 2005-04-01) The authors investigate the effects of trust on the relational behaviors of firms in long-term channel dyads across different interdependence structures. Based on the long-term nature of the empirical setting, trust is posited to exert a positive effect on the emergence of relational behaviors in all interdependence conditions. This positive effect of trust is hypothesized to be stronger in highly and symmetrically interdependent channel dyads than in low-interdependence-type symmetric dyads. In addition, f...
Trust-Driven Entrepreneurship for Community Well-Being of Refugees and Their Local Hosts Baktir, Zeynep; Watson, Forrest (SAGE Publications, 2020-07-01) This article explores community well-being (CWB) outcomes of institutional trust (and distrust) through entrepreneurship in the context of a refugee-hosting society in Turkey. Existing studies show the positive relationship between institutional trust and quality of life (QOL) as well as entrepreneurship and QOL in subsistence contexts. This research, however, explores the relationship between institutional (dis)trust and entrepreneurship on a path to CWB with a special emphasis on refugee and local interac...
Artificial intelligence applications in earthquake resistant architectural design: Determination of irregular structural systems with deep learning and ImageAI method Bingol, Kaan; Akan, Asli Er; ÖRMECİOĞLU, HİLAL TUĞBA; ER, ARZU (Journal of the Faculty of Engineering and Architecture of Gazi University, 2020-01-01) Although the architectural design process is carried out with the collaboration of experts who are experienced in many different areas from the main preferences to the detailing stage, the major decisions such as plan organization, mass design etc. are taken by the architect. Computer Aided Design (CAD) programs are generally effective after the major decisions of the design are taken. For this reason, it is common for the main decisions, taken during the design process, to be changed during the analysis of...

Citation Formats

F. T. Yarman Vural, S. D. Newman, T. Çukur, and I. Önal Ertugrul, “Editorial: Machine learning methods for human brain imaging,” Frontiers in Neuroinformatics, vol. 17, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102753.