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Attention-Boosted CNN for Improving the Classification of IDH and TERTp Mutation Status in Gliomas Based on Dynamic Susceptibility Contrast MRI

Author:Buse Buz-Yalug Gulce Turhan Ayse Irem Cetin Ayca Ersen Danyeli Cengiz Yakicier M. Necmettin Pamir Koray Ozduman Alp Dincer Esin Ozturk-Isik

Session Type:Power Pitch

Session Date:Wednesday, 08 May 2024

Session Name:Pitch: AI-Powered Analysis for Cancer Diagnosis & Prognosis

Program Number:0869

Room Session:Power Pitch Theatre 3

Institution:Acibadem University Bogazici University

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External Validation of IDH Mutation Detection Using Radiomics Extracted from T2-weighted MRI with Machine Learning

Author:Esra Sümer Arpak Ayca Ersen Danyeli M Necmettin Pamir Koray Özduman Alp Dinçer Esin Ozturk-Isik

Session Type:Digital Poster

Session Date:Tuesday, 07 May 2024

Session Name:Analysis Methods: Radiomics

Program Number:3102

Room Session:Exhibition Hall (Hall 403)

Institution:Acibadem University Bogaziçi University

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Identifying IDH Mutation Status in Gliomas Using Susceptibility Weighted Imaging and Explainable AI

Author:Sena Azamat Ayça Ersen Danyeli Alpay Ozcan M.Necmettin Pamir Alp Dinçer Koray Ozduman Esin Ozturk-Isik

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:Neuro-Oncology: Applications of Artificial Intelligence on Gliomas

Program Number:3690

Room Session:Exhibition Hall (Hall 403)

Institution:Acibadem University Bogazici University Basaksehir Cam and Sakura City Hospital

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Identifying NF-2 Mutations in Meningiomas Based on Susceptibility Weighted Imaging for Patient Prognosis Using Machine Learning

Author:Sena Azamat Ayça Ersen Danyeli Alpay Ozcan M.Necmettin Pamir Alp Dinçer Koray Ozduman Esin Ozturk-Isik

Session Type:Digital Poster

Session Date:Wednesday, 08 May 2024

Session Name:Neuro-Oncology: Applications of Artificial Intelligence on Gliomas

Program Number:3696

Room Session:Exhibition Hall (Hall 403)

Institution:Acibadem University Bogazici University Basaksehir Cam and Sakura City Hospital

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Attention-Boosted CNN for Improving the Classification of IDH and TERTp Mutation Status in Gliomas Based on Dynamic Susceptibility Contrast MRI

External Validation of IDH Mutation Detection Using Radiomics Extracted from T2-weighted MRI with Machine Learning

Identifying IDH Mutation Status in Gliomas Using Susceptibility Weighted Imaging and Explainable AI

Identifying NF-2 Mutations in Meningiomas Based on Susceptibility Weighted Imaging for Patient Prognosis Using Machine Learning