2026
Özge, E.C., Ilhan, H.O., Serbes, G., Uzun, H., Karaca, A.C., & Huner Yigit, M. Life, 16(3):438.
Adaptive Logit Fusion for Mitigating Class Imbalance in Multi-Category Sperm Morphology Assessment.
Ozcelik, E., Simsek, H., Aktas, A., Ilhan, H.O., & Yasa, Y. BMC Oral Health, 26(1):727.
Teeth identification and numbering in mixed dentition: evaluating deep learning models for pediatric panoramic radiographs.
Tutay, O.E., Ilhan, H.O., Uzun, H., Huner Yigit, M., & Serbes, G. Diagnostics, 16(8):1230.
A Multi-Teacher Knowledge Distillation Framework for Enhancing the Robustness of Automated Sperm Morphology Assessment.
Turkoglu Kayaci, S., Ilhan, H.O., Tassoker, M., Cap, T., & Demir, H. Scientific Reports, 16.
Benchmarking GPT-5, Gemini 2.5 Pro, Grok 4, and other LLMs on pediatric dentistry questions from a dental specialization exam.
Serbes, G., Ilhan, H.O., Liv, O., Tanriverdi, B., Onat, F.E., Kahraman, Y., Aridag, B., Budak, M.F., Cansiz, B., Apaydinli, B., et al. IEEE Access.
From Geometric to Realistic: A Pipelined Deep Learning Framework for Cranial Implant Design using PCA-Based Synthetic Data.
Selvi, E., Akpınar, A.A., Erkan, Y., İlhan, H.O., Aydın, N., Dural, Ö., & Attar, N.E. Reproductive Sciences.
Smartphone-Assisted CSCTAS-Derived Sperm Kinematics and Clinical Pregnancy after Intrauterine Insemination in a Turkish Cohort of Couples with Unexplained Infertility.
Gul, I., Ilhan, H.O., Uzun, H., Yigit, M.H., Aydin, N., & Serbes, G. Scientific Reports.
Enhancing identity stability in sperm motility analysis via density-adaptive tracklet stitching with YOLOv12n and BoostTrack++.
Yasa, Y., Ilhan, H.O., Badik, S.T., Gunes, G., Ozbey, F., & Syed, A.Z. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology.
Automated Detection of Patient Positioning Errors Using Mandibular Region-Focused Deep Learning Analysis.
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.
