2025
Cansiz, B., Ilhan, H.O., Aydin, N., & Serbes, G. Frontiers in Neuroscience, 19:1638922.
Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable Q-factor wavelet coefficient mapping.
Türkoglu Kayacı, S., İlhan, H.O., Serbes, G., & Arslan, H. (2025). Scientific Reports, 15, 38814.
End-to-end CNN-based detection of permanent first molars and prediction of root development stages from panoramic radiographs.
Aktas, A., Serbes, G., Uzun, H., Yigit, M. H., Aydin, N., & Ilhan, H. O. Advanced Intelligent Systems, 2500115.
Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios.
Cansiz, B., Ilhan, H. O., & Serbes, G. Advanced Intelligent Systems, e202500441.
Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification.
Realistic Cranial Defect Design and Integration Approach in CT-Based Segmented Skulls.
Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable Q-factor wavelet coefficient mapping.
Advanced Multi-Level Ensemble Learning Approaches for Comprehensive Sperm Morphology Assessment.
Turkoglu, A. K., Serbes, G., Uzun, H., Aktas, A., Yigit, M. H., & Ilhan, H. O. Diagnostics, 15(17), 2234.
Category-Aware Two-Stage Divide-and-Ensemble Framework for Sperm Morphology Classification.
Unveiling the capabilities of vision transformers in sperm morphology analysis: a comparative evaluation.
A comprehensive approach for high intensity blood flow signal classification using multi-scale spectrogram fusion and tunable Q-factor wavelet analysis.
Unveiling knee morphology with SHAP: shaping personalized medicine through explainable AI.
Cansız, B., & Serbes, G. 2025 33rd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Entropy and Energy Based Reconstruction of EEG Motor Imagery Signals with Tunable Q-Factor Wavelet Transform.
Cansiz, B., Kilinc, C. U., & Serbes, G. Biomedical Signal Processing and Control, 100, 107124.
Deep learning-driven feature engineering for lung disease classification through electrical impedance tomography imaging.
Karadeli, M. I., Cansiz, B., Aydin, N., & Serbes, G. Advanced Intelligent Systems, 2500129.
Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies.
Çoban, D., Yaşa, Y., Aktaş, A., & İlhan, H. O. Journal of Imaging Informatics in Medicine, 1-16.
Detection of Jaw Lesions on Panoramic Radiographs Using Deep Learning Method.
Atban, F., Guleryuz, S. E., Kocaoglu, Y. E., & Ilhan, H. O. The European Physical Journal Special Topics, 1-16.
Deep learning based automated non-barcoded product identification system for in-person shopping.
Yurdakul, M. M., Bayram, B., Bakırman, T., & İlhan, H. O. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 513-523.
A COMPARATIVE STUDY OF DOUBLE-STEP DEEP LEARNING FRAMEWORK FOR BURNED AREA IDENTIFICATION AND SEVERITY ASSESSMENT IN WILDFIRES.
2024
Aktas, A., Serbes, G., Yigit, M. H., Aydin, N., Uzun, H., & Ilhan, H. O. IEEE Access.
Hi-LabSpermMorpho: a novel expert-labeled dataset with extensive abnormality classes for deep learning-based sperm morphology analysis.
Mohammadi, H., Serbes, G., & Ilhan, H. O. 2024 10th International Conference on Signal Processing and Intelligent Systems (ICSPIS) (pp. 121-125). IEEE.
Comparative Analysis of Conventional and Modified Capsule Networks for Sperm Morphology Assessment.
Serbes, G. IEEE Access.
Robust Spike Sorting Using Dual Tree Complex Wavelet Transform: Overcoming Traditional Limitations.
Turunç, E., Arslan, S., Ilhan, H. O., & Yaşa, Y. 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-5). IEEE.
Derin Öğrenme Yöntemleri ile Ektopik Erüpsiyon bölgelerinin tespiti ve şiddet sınıflandırması.
Cansiz, B., Kilinc, C. U., & Serbes, G. Computers in Biology and Medicine, 178, 108698.
Tunable Q-factor wavelet transform based lung signal decomposition and statistical feature extraction for effective lung disease classification.
Hakkı, L., & Serbes, G. International Advanced Researches and Engineering Journal, 8(1), 20-32.
Detection of wheeze sounds in respiratory disorders: a deep Learning approach.
Mutlu, E., & Serbes, G. Traitement du Signal, 41(5), 2471.
Bridging Auscultation and Tiny Machine Learning: A Digital Stethoscope Leveraging Convolutional Neural Networks on an Embedded Device for Organ Sound Analysis.
Yüzkat, M., İlhan, H. O., & Aydın, N. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 30(4), 482-493.
Derin öğrenme temelli nesne tespit yöntemleri kullanılarak insan sperm hücrelerinin tespiti.
Alrubaye, M., & İlhan, H. O. Sigma Journal of Engineering and Natural Sciences, 42(5), 1563-1574.
The evaluation of the effect of data balancing over the classification performances of ensemble of networks for the diabetic retinopathy.
2023
İLHAN, H., Elbir, A., SERBES, G., & Aydin, N. Traitement du Signal, 40(4).
The evaluation of nature-inspired optimization techniques for contrast enhancement in images: A novel software tool.
Eyyubova, G., Serbes, G., & Ilhan, H. O. 2023 14th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 1-5). IEEE.
The Effect of Differently Optimized Histogram Stretching Techniques on the Classification Performance of Sperm Morphology.
Aktas, A., Serbes, G., & Ilhan, H. O. 2023 8th International Conference on Computer Science and Engineering (UBMK) (pp. 330-335). IEEE.
The performance analysis of convolutional neural networks and vision transformers in the classification of sperm morphology.
Cebeci, M., Serbes, G., & Ilhan, H. O. 2023 8th International Conference on Computer Science and Engineering (UBMK) (pp. 1-6). IEEE.
Investigating the Effect of Spatial Fusion of Different Color Spaces on Deep Learning-Based Sperm Image Classification Performance.
Hakki, L., & Serbes, G. 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.
Wheeze events detection using convolutional recurrent neural network.
Mutlu, E., & Serbes, G. 2023 Intelligent Methods, Systems, and Applications (IMSA) (pp. 174-180). IEEE.
FISC-Net: Classification of Auscultation Sounds on an Edge Device.
Yılmaz, R. E., & Serbes, G. 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Breast cancer detection using transformer and bilstm based ensemble learning.
Ergun, O. N., & Ilhan, H. O. Traitement du Signal, 40(6).
Advancing Diabetic Retinopathy Severity Classification Through Stacked Generalization in Ensemble Deep Learning Models.
Al-Ofary, S., & Ilhan, H. O. 2023 Intelligent Methods, Systems, and Applications (IMSA) (pp. 187-192). IEEE.
Decision Level Fusion of Transfer Learning based Models for Diagnosing Lung and Colon Cancer.
Al-Ofary, S., & Ilhan, H. O. 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-5). IEEE.
Classification of pca based reduced deep features by svm for diagnosing lung and colon cancer.
Yuzkat, M., Ilhan, H. O., & Aydin, N. Biomedical Signal Processing and Control, 83, 104630.
Detection of sperm cells by single-stage and two-stage deep object detectors.
Yuzkat, M., Ilhan, H. O., & Aydin, N. Biomedical Signal Processing and Control, 83, 104630.
Domates yapraklarında hastalık tespiti için önerilen hafif evrişimli sinir ağı ile önceden eğitilmiş ağların performans karşılaştırması.
Yuzkat, M., İlhan, H., & Aydın, N. Pamukkale University Journal of Engineering Sciences, 30(4), 482-493.
Detection of human sperm cells using deep learning-based object detection methods.
Ecemis, I., & İLHAN, H. Journal of the Faculty of Engineering and Architecture of Gazi University, 38(2).
The performance comparison of pre-trained networks with the proposed lightweight convolutional neural network for disease detection in tomato leaves.
2022
Ilhan, H. O., Serbes, G., & Aydin, N. Applied Intelligence, 52(8), 8551-8571.
Decision and feature level fusion of deep features extracted from public COVID-19 data-sets.
Ilhan, H. O., & Serbes, G. Biomedical Signal Processing and Control, 71, 103246.
Sperm morphology analysis by using the fusion of two-stage fine-tuned deep networks.
Gozuacik, N., Serbes, G., Kara, E., Atas, E., Sakar, C. O., Yener, H. M., … & Atas, A. 2022 30th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques.
Sakar, B. E., Serbes, G., & Aydin, N. Biomedical Signal Processing and Control, 71, 103080.
Emboli detection using a wrapper-based feature selection algorithm with multiple classifiers.
Atban, F., & İlhan, H. O. Avrupa Bilim ve Teknoloji Dergisi, (45), 48-52.
Öznitelik Seviyesinde Füzyon Yaklaşımının Kuruyemiş Tür Sınıflandırılmasında Performans Değerlendirmesi.
2021
Ulukaya, S., Serbes, G., & Kahya, Y. P. Computers in Biology and Medicine, 131, 104288.
Resonance based separation and energy based classification of lung sounds using tunable wavelet transform.
Serbes, G. Avrupa Bilim ve Teknoloji Dergisi, (29), 46-51.
Enhanced Sparse Representations of Spike Waveforms Obtained by using the Basis Pursuit Approach.
Ilhan, H. O., Yuzkat, M., & Aydin, N. Expert Systems with Applications, 186, 115774.
Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach.
Atban, F., & İlhan, H. O. 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 473-477). IEEE.
MR görüntüleri üzerinden Alzheimer hastalığının tespiti için Evrişimli Sinir Ağ tasarımı ve performans kıyaslaması.
Kiliç, E., Ecemiş, İ. N., & İlhan, H. O. 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 452-456). IEEE.
Narenciye Ağaç Yaprak Hastalıklarının Evrişimli Sinir Ağları ile Sınıflandırılması.
Yüzkat, M., Ilhan, H. O., & Aydin, N. Computers in biology and medicine, 137, 104790.
Multi-model CNN fusion for sperm morphology analysis.
Özge Nur Ergün, Hamza O.ilhan. Avrupa Bilim ve Teknoloji Dergisi, (29), 52-57.
Early stage diabetes prediction using machine learning methods.
Mecit Yüzkat , Hamza O.ilhan Nizamettin Aydın. Avrupa Bilim ve Teknoloji Dergisi, (29), 70-75.
Effects of color space transformations on classification performance of sperm morphology.
Kamran Balayev , Nihad Guluzade , Sercan Aygün , Hamza O.ilhan. Avrupa Bilim ve Teknoloji Dergisi, (26), 307-314.
The implementation of DCGAN in the data augmentation for the sperm morphology datasets.
2020
Ilhan, H. O., Serbes, G., & Aydin, N. Computers in Biology and Medicine, 122, 103845.
Automated sperm morphology analysis approach using a directional masking technique.
Ilhan, H. O., Sigirci, I. O., Serbes, G., & Aydin, N. Medical & biological engineering & computing, 58(5), 1047-1068.
A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.
Tunc, H. C., Sakar, C. O., Apaydin, H., Serbes, G., Gunduz, A., Tutuncu, M., & Gurgen, F. Medical & Biological Engineering & Computing, 58(11), 2757-2773.
Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting.
Yüzkat, M., Ilhan, H. O., & Aydın, N. 2020 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.
Morphological classification of low quality sperm images using deep learning networks.
Tortumlu, O. L., & Ilhan, H. O. 2020 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.
The analysis of mobile platform based CNN networks in the classification of sperm morphology.
Ilhan, H. O., & Aydin, N. Multimedia Tools and Applications, 79(9), 6409-6435.
Smartphone based sperm counting-an alternative way to the visual assessment technique in sperm concentration analysis.
2019
Ilhan, H. O., Serbes, G., & Aydin, N. Electronics Letters, 55(5), 256-258.
Automatic directional masking technique for better sperm morphology segmentation and classification analysis.
Rocha, B. M., Filos, D., Mendes, L., Serbes, G., Ulukaya, S., Kahya, Y. P., … & De Carvalho, P. Physiological measurement, 40(3), 035001.
An open access database for the evaluation of respiratory sound classification algorithms.
Ulukaya, S., Serbes, G., & Kahya, Y. P. Computers in biology and medicine, 104, 175-182.
Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.
Sakar, C. O., Serbes, G., Gunduz, A., Tunc, H. C., Nizam, H., Sakar, B. E., … & Apaydin, H. Applied Soft Computing, 74, 255-263.
A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform.
Elbir, A., İlhan, H. O., Ilhan, H. O., Aydın, M. F., Aydin, M. F., & Demirbulut, Y. E. Akıllı Sistemler ve Uygulamaları Dergisi, 2(1), 72-75.
The implementation of classification and clustering techniques on Churn analysis.
Elblr, A., Llhan, H. O., & Aydin, N. Comput. Syst. Sci. Eng.
The implementation of optimization methods for contrast enhancement.
2018
Elbir, A., Ilhan, H. O., Serbes, G., & Aydın, N. 2018 Electric Electronics, Computer Science, Biomedical Engineerings’ Meeting (EBBT) (pp. 1-4). IEEE.
Short Time Fourier Transform based music genre classification.
Ilhan, H. O., Serbes, G., & Aydin, N. 2018 41st International Conference on Telecommunications and Signal Processing (TSP) (pp. 1-4). IEEE.
The effects of the modified overlapping group shrinkage technique on the sperm segmentation in the stained images.
Ilhan, H. O., Serbes, G., & Aydin, N. 2018 41st International Conference on Telecommunications and Signal Processing (TSP) (pp. 1-5). IEEE.
Dual tree complex wavelet transform based sperm abnormality classification.
Ilhan, H. O., Sigirci, I. O., Serbes, G., & Aydin, N. 2018 3rd International Conference on Computer Science and Engineering (UBMK) (pp. 658-661). IEEE.
The effect of nonlinear wavelet transform based de-noising in sperm abnormality classification.
Sakar, C., Serbes, G., Gunduz, A., Nizam, H., & Sakar, B. UCI Machine Learning Repository, 10, C5MS4X.
Parkinson’s disease classification.
Serbes, G., Ulukaya, S., Şen, İ., & Kahya, Y. P. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 22(2), 711-716.
Akciğer Solunum Seslerinin Spektral Öznitelikler ile Sınıflandırılması.
Çam, H. B., Akçakoca, S., Elbir, A., Ilhan, H. O., & Aydın, N. 2018 Electric Electronics, Computer Science, Biomedical Engineerings’ Meeting (EBBT) (pp. 1-4). IEEE.
The performance evaluation of the cat and particle swarm optimization techniques in the image enhancement.
Ilhan, H. O., & Aydin, N. Biomedical Signal Processing and Control, 41, 129-139.
A novel data acquisition and analyzing approach to spermiogram tests.
Ilhan, H. O., & Karabiber, F. Current Medical Imaging, 14(6), 981-994.
Automatic detection of regions of interest in makler images by combinational approach and sperms analysis by fuzzy c-means.
2017
Serbes, G., Ulukaya, S., & Kahya, Y. P. International Conference on Biomedical and Health Informatics (pp. 45-49). Singapore: Springer Singapore.
An automated lung sound preprocessing and classification system based onspectral analysis methods.
Ulukaya, S., Serbes, G., & Kahya, Y. P. Biomedical Signal Processing and Control, 38, 322-336.
Overcomplete discrete wavelet transform based respiratory sound discrimination with feature and decision level fusion.
Erdogdu Sakar, B., Serbes, G., & Sakar, C. O. PloS one, 12(8), e0182428.
Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson’s disease.
Ulukaya, S., Serbes, G., & Kahya, Y. P. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2928-2931). IEEE.
Performance comparison of wavelet based denoising methods on discontinuous adventitious lung sounds.
Serbes, G., & Aydin, N. 2017 25th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Resonance based pre-processing method for eliminating artifacts in Doppler ultrasound signals.
İlhan, H. O., & Bilgin, G. Int. J. Intell. Syst. Appl. Eng, 5(4), 174-184.
Sleep stage classification via ensemble and conventional machine learning methods using single channel EEG signals
İlhan, H. O., & Aydin, N. 2017 Medical Technologies National Congress (TIPTEKNO) (pp. 1-5). IEEE.
Computer aided motile sperm counting.
İlhan, H. O., & Aydin, N. 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (pp. 3128-3131). IEEE.
The contribution of DSP integration to ARM cores in SBCs for the video decoding process.
İlhan, H. O., & Avci, C. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) (pp. 1-5). IEEE.
Sleep stage classification by ensemble learning methods with active sample selection techniques.
Çelik, E., İlhan, H. O., & Elbir, A. 2017 25th signal processing and communications applications conference (SIU) (pp. 1-4). Ieee.
Detection and estimation of down syndrome genes by machine learning techniques.
