Mete Ahishali

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Compressive Sensing

Myocardial Infarction

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Pattern Recognit.

Publications

Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification. Pattern Recognit. 156 (2024)
Lei Xu, Mete Ahishali, Moncef Gabbouj
Dropout Concrete Autoencoder for Band Selection on HSI Scenes. CoRR (2024)
Ozer Can Devecioglu, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj
Improved Active Fire Detection using Operational U-Nets. CoRR (2023)
Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj
Representation based regression for object distance estimation. Neural Networks 158 (2023)
Sertac Kilickaya, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification. CoRR (2023)
Mehmet Yamaç, Mete Ahishali, Serkan Kiranyaz, Moncef Gabbouj
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Ilke Adalioglu, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Moncef Gabbouj
SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography. CoRR (2023)
Ilke Adalioglu, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Moncef Gabbouj
SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography. CinC (2023)
Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj
Operational Support Estimator Networks. CoRR (2023)
Mete Ahishali, Serkan Kiranyaz, Iftikhar Ahmad, Moncef Gabbouj
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection. CoRR (2022)
Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification. CoRR (2022)
Mete Ahishali, Serkan Kiranyaz, Iftikhar Ahmad, Moncef Gabbouj
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection. ICIP (2022)
Mehmet Yamaç, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj
Reliable Covid-19 Detection using Chest X-Ray Images. ICIP (2021)
Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images. IEEE Access 9 (2021)
Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj
Reliable COVID-19 Detection Using Chest X-ray Images. CoRR (2021)
Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
COVID-19 infection map generation and detection from chest X-ray images. Health Inf. Sci. Syst. 9 (1) (2021)
Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj
Representation Based Regression for Object Distance Estimation. CoRR (2021)
Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks. CoRR (2020)
Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images. CoRR (2020)
Mehmet Yamac, Mete Ahishali, Serkan Kiranyaz, Moncef Gabbouj
Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing. CoRR (2020)
Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images. CoRR (2020)
Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images. CoRR (2020)
Mehmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. CoRR (2019)
Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks. Remote. Sens. 11 (11) (2019)
Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. EUSIPCO (2019)