Yayınlar & Eserler

Yayın Ağı
Makaleler 13
Tümü (13)
SCI-E, SSCI, AHCI (8)
SCI-E, SSCI, AHCI, ESCI (8)
Scopus (8)
TRDizin (1)
Diğer Yayınlar (5)

1. Application of Machine Learning Algorithms for Predicting Survival After Pediatric Bone Marrow Transplantation

Degirmenci Akdeniz M., Dogan T. U., Isler Y.
Journal of Artificial Intelligence with Applications , cilt.7, sa.1, ss.19-28, 2026 (Hakemli Dergi) Creative Commons License

2. Mesothelioma Disease Classification Using Machine Learning Techniques

Değirmenci Akdeniz M., Kurnaz M. I., Isler Y.
Journal of Artificial Intelligence with Applications , cilt.7, sa.1, ss.1-6, 2026 (Hakemli Dergi) Creative Commons License

3. Convolutional neural networks can diagnose schizophrenia

Değirmenci M., Surucu M., Perc M., İşler Y.
JOURNAL OF COMPUTATIONAL SCIENCE , cilt.90, ss.102634, 2025 (SCI-Expanded, Scopus)

4. Classification of finger movements through optimal EEG channel and feature selection

Değirmenci M., Yüce Y. K., Perc M., İşler Y.
FRONTIERS IN HUMAN NEUROSCIENCE , cilt.19, ss.1633910, 2025 (SCI-Expanded, Scopus)

5. EEG-based finger movement classification with intrinsic time-scale decomposition

Degirmenci M., Yuce Y. K., Perc M., Isler Y.
Frontiers in Human Neuroscience , cilt.18, 2024 (SCI-Expanded, Scopus) Creative Commons License

6. EEG channel and feature investigation in binary and multiple motor imagery task predictions

Degirmenci M., Yuce Y. K., Perc M., Isler Y.
Frontiers in Human Neuroscience , cilt.18, 2024 (SCI-Expanded, Scopus)

7. Classification of finger movements using statistically significant time-domain EEG features İstatistiksel anlamlı zaman alanı EEG özniteliklerinden el parmak hareketlerinin sınıflandırılması

Değirmenci M., Yüce Y. K., İşler Y.
Journal of the Faculty of Engineering and Architecture of Gazi University , cilt.39, sa.3, ss.1597-1609, 2024 (SCI-Expanded, Scopus, TRDizin)

8. Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs

Degirmenci M., Yuce Y. K., Perc M., Isler Y.
Frontiers in Human Neuroscience , cilt.17, 2023 (SCI-Expanded, Scopus)

9. Classification of Multi-Class Motor Imaginary Tasks using Poincare Measurements Extracted from EEG Signals

DEĞİRMENCİ M., YÜCE Y. K., İŞLER Y.
Journal of Intelligent Systems with Applications , cilt.5, sa.2, ss.74-78, 2022 (Hakemli Dergi)

10. Arrhythmic Heartbeat Classification Using 2D Convolutional Neural Networks

Degirmenci M., Ozdemir M., İzci E., Akan A.
IRBM , cilt.43, sa.5, ss.422-433, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Motor Imaginary Task Classification using Statistically Significant Time Domain and Frequency Domain EEG features

DEĞİRMENCİ M., YÜCE Y. K., İŞLER Y.
Journal of Intelligent Systems with Applications , cilt.5, sa.1, ss.49-54, 2022 (Hakemli Dergi)

12. Evaluation of Wigner-Ville Distribution Features to Estimate Steady-State Visual Evoked Potentials Stimulation Frequency

DEĞİRMENCİ M., SAYILGAN E., İŞLER Y.
Journal of Intelligent Systems with Applications , cilt.4, sa.2, ss.133-136, 2021 (Hakemli Dergi)

13. EEG-based emotion recognition with deep convolutional neural networks

Ozdemir M. A., Degirmenci M., İzci E., Akan A.
Biomedizinische Technik , cilt.66, sa.1, ss.43-57, 2021 (SCI-Expanded, Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 8

1. ARTIFICIAL INTELLIGENCE MODELS FOR THE RADIOGRAPHIC DETECTION OF ROOT CANAL TREATMENT IN ENDODONTICS: A COMPARISON OF YOLOV8 AND CNN-BASED DEEP LEARNING MODELS USING CLAHE-BASED IMAGE ENHANCEMENT AND EXPLAINABLE AI APPROACHES

Doğan L., Şeker İ. D., Değirmenci Akdeniz M.
X-International Antalya Scientific Research and Innovative Studies Congress, Antalya, Türkiye, 24 - 25 Mayıs 2026, ss.113-121, (Tam Metin Bildiri) Creative Commons License

2. Early prediction of gallstone disease with various feature selection methods from bioimpedance and laboratory data

Değirmenci Akdeniz M.
International Conference on Next-Generation Engineering Technologies (ISNET'2025), Antalya, Türkiye, 30 Ekim - 01 Kasım 2025, ss.60-61, (Tam Metin Bildiri)

3. Motor imaginary task classification using statistically significant time-domain EEG features Istatistiksel olarak anlamli EEG zaman alani öznitelikleri ile motor hayali görev siniflandirilmasi

Degirmenci M., Yuce Y. K., Isler Y.
30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)

4. EEG based Epileptic Seizures Detection using Intrinsic Time-Scale Decomposition

Degirmenci M., Akan A.
2020 Medical Technologies Congress, TIPTEKNO 2020, Antalya, Türkiye, 19 - 20 Kasım 2020, (Tam Metin Bildiri)

5. ECG Arrhythmia Detection with Deep Learning Derin Ogrenme ile EKG Aritmi Tespiti

İzci E., Degirmenci M., Ozdemir M. A., Akan A.
28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Türkiye, 5 - 07 Ekim 2020, (Tam Metin Bildiri)

6. EEG based emotional state estimation using 2-D deep learning technique

Ozdemir M. A., Degirmenci M., Guren O., Akan A.
2019 Medical Technologies Congress, TIPTEKNO 2019, İzmir, Türkiye, 3 - 05 Ekim 2019, (Tam Metin Bildiri)

7. Cardiac arrhythmia detection from 2d ecg images by using deep learning technique

İzci E., Ozdemir M. A., Degirmenci M., Akan A.
2019 Medical Technologies Congress, TIPTEKNO 2019, İzmir, Türkiye, 3 - 05 Ekim 2019, (Tam Metin Bildiri)

8. Emotion Recognition from EEG Signals by Using Empirical Mode Decomposition

Degirmenci M., Özdemir M. A., Sadighzadeh R., Akan A.
2018 Medical Technologies National Congress, TIPTEKNO 2018, Magusa, Kıbrıs (Gkry), 8 - 10 Kasım 2018, (Tam Metin Bildiri)
Metrikler

Yayın

21

Yayın (WoS)

8

Yayın (Scopus)

14

Atıf (WoS)

354

H-İndeks (WoS)

9

Atıf (Scopus)

481

H-İndeks (Scopus)

9

Atıf (Scholar)

710

H-İndeks (Scholar)

12

Atıf (TrDizin)

1

H-İndeks (TrDizin)

1

Atıf (Diğer Toplam)

1

Toplam Atıf Sayısı

483

Proje

2

Açık Erişim

3
BM Sürdürülebilir Kalkınma Amaçları
SDG 3: AMAÇ 3: SAĞLIKLI BİREYLER