Mehmet Akif Ozdemir

According to our database, Mehmet Akif Ozdemir authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology.

Dilan Dogru, Gizem D. Özdemir, Mehmet Akif Özdemir, Utku Kursat Ercan, Nermin Topaloglu Avsar, Onan Güren

BMC Medical Imaging, December, 2024

Unveiling the Potential: Can Machine Learning Cluster Colorimetric Images of Cold Atmospheric Plasma Treatment?

Gizem Dilara Ozdemir, Mehmet Akif Ozdemir, Mustafa Sen, Utku Kursat Ercan

Adv. Intell. Syst., September, 2024

Deep Learning for Automated Ischemic Stroke Lesion Segmentation from Multi-Spectral MRI.

Dilan Dogru, Mehmet Akif Ozdemir, Onan Güren

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids.

Mehmet Akif Özdemir, Gizem Dilara Ozdemir, Merve Gul, Onan Güren, Utku Kursat Ercan

Mach. Learn. Sci. Technol., March, 2023

2022

Statistical Analysis of Time-Frequency Features Based On Multivariate Synchrosqueezing Transform for Hand Gesture Classification.

Lutfiye Saripinar, Deniz Hande Kisa, Mehmet Akif Ozdemir, Onan Güren

CoRR, 2022

Removal of Ocular Artifacts in EEG Using Deep Learning.

Mehmet Akif Ozdemir, Sumeyye Kizilisik, Onan Güren

CoRR, 2022

Hand gesture classification using time-frequency images and transfer learning based on CNN.

Mehmet Akif Ozdemir, Deniz Hande Kisa, Onan Güren, Aydin Akan

Biomed. Signal Process. Control., 2022

Classification of Hand Gestures using sEMG Signals and Hilbert-Huang Transform.

Deniz Hande Kisa, Mehmet Akif Ozdemir, Onan Güren, Aydin Akan

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.

Mehmet Akif Ozdemir, Gizem Dilara Ozdemir, Onan Güren

BMC Medical Informatics Decis. Mak., 2021

Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning.

Mehmet Akif Ozdemir, Ozlem Karabiber Cura, Aydin Akan

Int. J. Neural Syst., 2021

An EEG and Machine Learning based Method for the Detection of Major Depressive Disorder.

Elif Izci, Mehmet Akif Özdemir, Aydin Akan, Mehmet Akif Özçoban, Mehmet Kemal Arikan

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020

VLSI Implementation of TDC Architectures Used in PET Imaging Systems.

Mehmet Akif Ozdemir, Ali Tangel

CoRR, 2020

ECG Arrhythmia Detection with Deep Learning.

Elif Izci, Mürside Degirmenci, Mehmet Akif Özdemir, Aydin Akan

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

A Dynamic Mode Decomposition Based Approach for Epileptic EEG Classification.

Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Sude Pehlivan, Aydin Akan

Proceedings of the 28th European Signal Processing Conference, 2020

Epileptic EEG Classification Using Synchrosqueezing Transform with Machine and Deep Learning Techniques.

Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Aydin Akan

Proceedings of the 28th European Signal Processing Conference, 2020