Koray Açıcı

Ankara University — Turkey

Biochemistry, Genetics and Molecular Biology · Life Sciences

13h-index765citations53works8.02yr avg
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Research Topics

Plant Pathogens and Fungal Diseases(5), Context-Aware Activity Recognition Systems(4), Mycorrhizal Fungi and Plant Interactions(4), Machine Learning in Bioinformatics(4), Radiomics and Machine Learning in Medical Imaging(4)

Publications53 total

SEM micrograph dataset of Geastrum spores for AI-based species identification
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
SEM micrograph dataset of Geastrum spores for AI-based species identification
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Advanced deep learning approaches for the automated classification of macrofungal species in biodiversity monitoring
Trakya University Journal of Natural Sciences·2025· 1 citedOpen Access
Advanced deep learning approaches for the accurate classification of Phallaceae fungi with explainable AI
TURKISH JOURNAL OF BOTANY·2025· 3 citedOpen Access
Improving early detection of Alzheimer’s disease through MRI slice selection and deep learning techniques
Scientific Reports·2025· 2 citedOpen Access
Comparative Analysis of Machine and Deep Learning Algorithms for Bragg Peak Estimation in Polymeric Materials for Tissue-Sparing Radiotherapy
Polymers·2025· 1 citedOpen Access
Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures
Biology·2025· 6 citedOpen Access
Enchancing SOC Estimation Hybrid RNN Models for Li-Ion Batteries Under Various Temperatures
2025
Improving Early Detection of Alzheimer's Disease Through MRI Slice Selection and Deep Learning Techniques
2025Open Access
A Kolmogorov-Arnold Network Framework for Human Activity and Gender Recognition
Preprints.org·2025Open Access
Classification of Mycena and Marasmius Species Using Deep Learning Models: An Ecological and Taxonomic Approach
Sensors·2025· 9 citedOpen Access
Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations
Applied Sciences·2024· 2 citedOpen Access
Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification
Sensors·2024· 19 citedOpen Access
Hemoglobin value prediction with bayesian optimization assisted machine learning models
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering·2024Open Access
Development of a New Non-Destructive Analysis Method in Cultural Heritage with Artificial Intelligence
Electronics·2024· 2 citedOpen Access
The Future of Microreactors: Technological Advantages, Economic Challenges, and Innovative Licensing Solutions with Blockchain
Applied Sciences·2024· 8 citedOpen Access
Artificial Intelligence in Biomaterials: A Comprehensive Review
Applied Sciences·2024· 77 citedOpen Access
Advancing Crayfish Disease Detection: A Comparative Study of Deep Learning and Canonical Machine Learning Techniques
Applied Sciences·2024· 7 citedOpen Access
Exploring Blockchain for Nuclear Material Tracking: A Scoping Review and Innovative Model Proposal
Energies·2024· 7 citedOpen Access
Unsupervised Learning for Characterizing Type IV Secreted Effectors
2024
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Frequent Co-authors

Tunç Aşuroğlu(30), Mehmet Serdar Güzel(21), Fatih Ekinci(15), Erkan Bostancı(12), Hasan Oğul(11), Çağatay Berke Erdaş(7), Eda Kumru(5), İlgaz Akata(5), Emre Sümer(4), Güney Ugurlu(4), M. Kılınç Toprak(3), Metehan Ünal(3), Begüm Şener(3), Büşra Emek Soylu(2), Yasemin Gokcekuyu(2), Hamit Erdem(2), Esra Sivari(2), Güler Burcu Senirkentli(2), Şifa Özsarı(2), Hakan Erten(2)