Artificial Intelligence for Medical Imaging and Data
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Adaptive ensemble learning for prostate cancer classification on multi-modal MRI: reducing unnecessary biopsies
Aymaz S.
,
Oğuz N. K.
,
AYMAZ Ş.
,
Aydın H. R.
,
Okatan A. E.
,
Kadıoğlu M. E.
, et al.
BMC Medical Imaging, vol.26, no.1, 2026 (SCI-Expanded, Scopus)
A novel approach for enhanced early breast cancer detection
AYMAZ Ş.
,
Aymaz S.
Computer Methods in Biomechanics and Biomedical Engineering, 2025 (SCI-Expanded, Scopus)
Papers Published in Refereed Scientific Meetings
A New Approach to Help Diagnose Coronary Artery Disease
Aymaz S.
,
Aymaz Ş.
2024 32nd Signal Processing and Communications Applications Conference (SIU), Mersin, Turkey, 15 - 18 May 2024, pp.1-4, (Full Text)
THE EFFECT OF OPTIMIZATION-BASED FEATURE SELECTION ON BREAST CANCER DIAGNOSIS PERFORMANCE
Altuntaş D.
,
Aymaz Ş.
,
Aymaz S.
23. Uluslararası İstanbul Fen, Mühendislik, Mimarlık ve Matematik Bilimlerinde Bilimsel Araştırmalar Kongresi, İstanbul, Turkey, 20 - 22 November 2025, pp.1-8, (Full Text)
Adapting KNN Parameters with PSO for Imbalanced Medical Data: An Approach for Alzheimer’s Diagnosis
Soykan M.
,
Aymaz Ş.
6. Uluslararası Bilimsel Araştırmalar ve Yenilikçi Çalışmalar Sempozyumu (ISSRIS'26), Balıkesir, Turkey, 11 - 14 March 2026, pp.54-62, (Full Text)
AN OPTUNA-BASED FEATURE SELECTION FRAMEWORK WITH BIGRU AND ATTENTION-ENHANCED BIGRU FOR BREAST CANCER RECURRENCE PREDICTION
Aymaz Ş.
,
Aymaz S.
INTERNATIONAL CONGRESS ON INTERDISCIPLINARY SCIENCE AND TECHNOLOGY, Kars, Turkey, 27 - 28 March 2026, pp.385-393, (Full Text)
Optimization-Supported Machine Learning Model for Breast Cancer Recurrence Prediction
Aymaz Ş.
,
Aymaz S.
3rd INTERNATIONAL SYMPOSIUM ON ENGINEERING, DESIGN AND INNOVATIVE RESEARCH, Sinop, Turkey, 24 - 25 December 2025, pp.34, (Summary Text)