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ORCIDMete Ahishali
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2020 – today
- 2024
[j8]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: 110765 (2024)- [i15]Lei Xu, Mete Ahishali, Moncef Gabbouj:
Dropout Concrete Autoencoder for Band Selection on HSI Scenes. CoRR abs/2401.16522 (2024) - 2023
- [j7]Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj:
Representation based regression for object distance estimation. Neural Networks 158: 15-29 (2023) - [j6]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): 290-304 (2023) - [c4]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: 1-4 - [i14]Ozer Can Devecioglu, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj:
Improved Active Fire Detection using Operational U-Nets. CoRR abs/2304.09721 (2023) - [i13]Sertac Kilickaya, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj:
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification. CoRR abs/2304.09730 (2023) - [i12]Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj:
Operational Support Estimator Networks. CoRR abs/2307.06065 (2023) - [i11]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 abs/2309.15520 (2023) - 2022
- [c3]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: 2296-2300 - [i10]Mete Ahishali, Serkan Kiranyaz, Iftikhar Ahmad, Moncef Gabbouj:
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection. CoRR abs/2202.09918 (2022) - [i9]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 abs/2209.14770 (2022) - 2021
- [j5]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: 41052-41065 (2021) - [j4]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): 15 (2021) - [j3]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: 1014-1028 (2021) - [j2]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): 1810-1820 (2021) - [c2]Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable Covid-19 Detection using Chest X-Ray Images. ICIP 2021: 185-189 - [i8]Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable COVID-19 Detection Using Chest X-ray Images. CoRR abs/2101.12254 (2021) - [i7]Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj:
Representation Based Regression for Object Distance Estimation. CoRR abs/2106.14208 (2021) - 2020
- [i6]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 abs/2003.00768 (2020) - [i5]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 abs/2005.04014 (2020) - [i4]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 abs/2006.05332 (2020) - [i3]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 abs/2009.12698 (2020) - [i2]Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj:
Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks. CoRR abs/2011.05243 (2020)
2010 – 2019
- 2019
- [j1]Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj:
Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks. Remote. Sens. 11(11): 1340 (2019) - [c1]Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj:
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. EUSIPCO 2019: 1-5 - [i1]Mehmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj:
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. CoRR abs/1906.08713 (2019)
Coauthor Index
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