Doç. Dr. İsmail CANTÜRK

Yayın Ağı

Makaleler 17

1. DEVELOPMENT OF A 4-DOF LOW-COST ROBOTIC ARM WITH INTEGRATED CONTROL SYSTEMS AND 3D-PRINTED MECHANICAL DESIGN FOR EDUCATIONAL PURPOSES

Habra M. Y., Cantürk İ.

International Journal of 3D Printing Technologies and Digital Industry , cilt.9, sa.3, ss.612-623, 2025 (Hakemli Dergi)

2. Investigating the impact of feature extraction methods on prediction accuracy of neurological recovery levels in comatose patients post-cardiac arrest

Çelik S. C., Özgüzel S. S., Cantürk İ.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING , cilt.2025, ss.1-16, 2025 (SCI-Expanded, Scopus)

3. A Deep Feature Driven Expert System to Estimate the Postmortem Interval From Corneal Opacity Development

CANTÜRK İ., Özyılmaz L.

Expert Systems , cilt.42, sa.2, 2025 (SCI-Expanded, Scopus)

4. A comprehensive study on application of LSTM neural networks for radon-based earthquake anomaly detection in Istanbul

Ankara A. C., Tekeş B. N., Tülü F., GÜNAY O., CANTÜRK İ.

Journal of Radioanalytical and Nuclear Chemistry , 2025 (SCI-Expanded, Scopus)

5. Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson’s Disease

CANTÜRK İ., GÜNAY O.

Cognitive Computation , cilt.16, sa.3, ss.1198-1209, 2024 (SCI-Expanded, Scopus)

6. Temporal assessment of radiation exposure to uterus and ovaries in simulated scopy during hip fracture repair: A phantom study

Günay O., Cantürk İ., Kekeç E., Aksoy S. H.

JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCIES , cilt.17, sa.3, ss.1-7, 2024 (SCI-Expanded)

7. A feature driven intelligent system for neurodegenerative disorder detection: An application on speech dataset for diagnosis of Parkinson’s disease

Cantürk İ.

International Journal On Artificial Intelligence Tools , cilt.30, sa.3, ss.1-12, 2021 (SCI-Expanded, Scopus)

8. A computerized method to assess Parkinson’s disease severity from gait variability based on gender

Cantürk İ.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL , cilt.66, sa.2021, ss.1-8, 2021 (SCI-Expanded, Scopus)

9. Fuzzy recurrence plot-based analysis of dynamic and static spiral tests of Parkinson’s disease patients

Cantürk İ.

Neural Computing & Applications , cilt.33, sa.1, ss.349-360, 2021 (SCI-Expanded, Scopus)

10. Parkinson Hastalığının Derecesi ile Yürüyüş Değişkenliği Arasındaki İlişkinin Bulanık Tekrarlılık Grafiğine Göre Araştırılması

Cantürk İ.

Avrupa Bilim ve Teknoloji Dergisi , cilt.19, ss.410-419, 2020 (TRDizin)

11. Augmented Reality Based Simulation of Some Basic Electrical Circuits Which Requires Oscilloscope for Analysis without Hardware

Özüağ M., Cantürk İ., Özyılmaz L.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS , cilt.29, sa.6, ss.1-11, 2020 (SCI-Expanded, Scopus)

12. DNA Microarray Gene Expression Data Classification Using SVM, MLP, and RF with Feature Selection Methods Relief and LASSO

Güçkıran K., Cantürk İ., Özyılmaz L.

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi , cilt.23, sa.1, ss.115-121, 2019 (TRDizin)

13. A New Perspective to Electrical Circuit Simulation with Augmented Reality

ÖZÜAĞ M., CANTÜRK İ., ÖZYILMAZ L.

International Journal of Electrical and Electronic Engineering & Telecommunications. , 2019 (Hakemli Dergi)

14. A computational approach to estimate postmortem interval using opacity development of eye for human subjects

CANTÜRK İ., ÖZYILMAZ L.

COMPUTERS IN BIOLOGY AND MEDICINE , cilt.98, ss.93-99, 2018 (SCI-Expanded, Scopus)

15. Investigation of opacity development in the human eye for estimation of the postmortem interval

CANTÜRK İ., çelik S., şahin M. F., Yagmur F., Kara S., Karabiber F.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING , cilt.37, sa.3, ss.559-565, 2017 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

16. A Machine Learning System for the Diagnosis of Parkinson's Disease from Speech Signals and Its Application to Multiple Speech Signal Types

CANTÜRK İ., Karabiber F.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , cilt.41, sa.12, ss.5049-5059, 2016 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

17. An experimental evaluation of electrical skin conductivity changes in postmortem interval and its assessment for time of death estimation

CANTÜRK İ., Karabiber F., Celik S., Sahin M. F., Yagmur F., Kara S.

COMPUTERS IN BIOLOGY AND MEDICINE , cilt.69, ss.92-96, 2016 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 13

1. Machine Learning–Based Survival Prediction In Glioblastoma

Karakaya M., Cantürk İ.

5th INTERNATIONAL CONGRESS ON SCIENTIFIC ADVANCES, İstanbul, Türkiye, 24 - 27 Aralık 2025, ss.358-360, (Tam Metin Bildiri)

2. Computational Intelligence Methods for Predicting Treatment Outcomes in Ulcerative Colitis

Topkaraoğlu M. K., Cantürk İ.

iFeARP World INTERNATIONAL CONFERENCE, Makkah, Suudi Arabistan, 28 Kasım 2025, ss.1-2, (Tam Metin Bildiri)

3. Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data

KÜÇÜK O., CANTÜRK İ.

4th International Conference on Design, Research and Development, İstanbul, Türkiye, 19 - 20 Aralık 2024, (Tam Metin Bildiri)

4. Evaluating Time-Dependent Radiation Exposure to Ovaries in Simulated Scopy Scenarios

GÜNAY O., CANTÜRK İ., TUNÇMAN D., KESMEZACAR F. F., YEYİN N., DEMİR M.

11th International Conference on Computational and Eperimental Science and Engineering, 25 - 27 Ekim 2024, (Tam Metin Bildiri)

5. Fine Tuning Approach on Scalogram Images to Detect a Neurological Disorder

Cantürk İ.

International Conference on Engineering and Applied Natural Sciences, Konya, Türkiye, 15 - 18 Ekim 2022, ss.347-349, (Tam Metin Bildiri)

6. Myocardial Infarction Complication Estimation with Feature Reduction

Cantürk İ.

14th International Conference of Strategic Research on Scientific Studies and Education, Antalya, Türkiye, 16 - 18 Aralık 2021, ss.1-5, (Tam Metin Bildiri)

7. Time Series Prediction for XU100 by Using A Long Short-term Memory Network

Cantürk İ.

12th International Conference of Strategic Research on Scientific Studies and Education, 10 - 13 Aralık 2020, ss.343-348, (Tam Metin Bildiri)

8. Performance comparison of shallow and deep CNNs for diagnosis of Parkinson’s disease from gait variability

Cantürk İ.

8th International Scientific Research Congress - Science and Engineering , Çorum, Türkiye, 22 - 23 Ağustos 2020, ss.183-187, (Tam Metin Bildiri)

9. Bootloader design for an STM32 MCU over Ethernet by using TFTP protocol

Cantürk B., Cantürk İ., Özyılmaz L.

3rd International Congress of Academic Research, Bolu, Türkiye, 20 - 22 Temmuz 2020, ss.668-672, (Tam Metin Bildiri)

10. Gray Level Co-Occurrence Matrix Utilization for Predicting Severity of Parkinson’s Disease from Gait Variability Based on Gender

Cantürk İ.

IV. International Congress on New Trends in Science, Engineering and Technology, Sankt-Peterburg, Rusya, 7 - 09 Temmuz 2020, ss.85-89, (Tam Metin Bildiri)