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Mete Ahishali
Mete Ahishali
Tampere University
Verified email at tuni.fi
Title
Cited by
Cited by
Year
Convolutional sparse support estimator-based COVID-19 recognition from X-ray images
M Yamac, M Ahishali, A Degerli, S Kiranyaz, MEH Chowdhury, ...
IEEE Transactions on Neural Networks and Learning Systems 32 (5), 1810-1820, 2021
512021
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
M Ahishali, A Degerli, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ...
IEEE Access 9, 41052-41065, 2021
43*2021
COVID-19 infection map generation and detection from chest X-ray images
A Degerli, M Ahishali, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ...
Health information science and systems 9 (1), 1-16, 2021
372021
Multi-level reversible data anonymization via compressive sensing and data hiding
M Yamac, M Ahishali, N Passalis, J Raitoharju, B Sankur, M Gabbouj
IEEE Transactions on Information Forensics and Security 16, 1014-1028, 2020
162020
Reversible privacy preservation using multi-level encryption and compressive sensing
M Yamaç, M Ahishali, N Passalis, J Raitoharju, B Sankur, M Gabbouj
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
162019
Dual and single polarized SAR image classification using compact convolutional neural networks
M Ahishali, S Kiranyaz, T Ince, M Gabbouj
Remote Sensing 11 (11), 1340, 2019
162019
Classification of polarimetric SAR images using compact convolutional neural networks
M Ahishali, S Kiranyaz, T Ince, M Gabbouj
GIScience & Remote Sensing 58 (1), 28-47, 2021
122021
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
M Yamaç, M Ahishali, S Kiranyaz, M Gabbouj
IEEE Transactions on Neural Networks and Learning Systems, 2021
62021
Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks
M Ahishali, S Kiranyaz, T Ince, M Gabbouj
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
52020
Comparison of polarimetrie SAR features for terrain classification using incremental training
T Ince, M Ahishali, S Kiranyaz
2017 Progress In Electromagnetics Research Symposium-Spring (PIERS), 3258-3262, 2017
42017
Reliable COVID-19 Detection Using Chest X-ray Images
A Degerli, M Ahishali, S Kiranyaz, MEH Chowdhury, M Gabbouj
2021 IEEE International Conference on Image Processing (ICIP), 185-189, 2021
32021
Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
M Ahishali, T Ince, S Kiranyaz, M Gabbouj
2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring …, 2019
22019
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
M Ahishali, S Kiranyaz, I Ahmad, M Gabbouj
arXiv preprint arXiv:2202.09918, 2022
12022
Representation based regression for object distance estimation
M Ahishali, M Yamac, S Kiranyaz, M Gabbouj
Neural Networks, 2022
2022
R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification
M Ahishali, A Degerli, S Kiranyaz, T Hamid, R Mazhar, M Gabbouj
arXiv preprint arXiv:2209.14770, 2022
2022
Medical image analysis
A Degerli, M Yamac, M Ahishali, S Kiranyaz, M Gabbouj
Deep Learning for Robot Perception and Cognition, 541-577, 2022
2022
A Terrain Segmentation System for SAR Images Using Compact Convolutional Neural Networks
MM Ahishali
2019
Kendiliğinden Organize Evrimsel Sınıflandırıcı Ağları Bulutları ile Büyük Çokboyutlu SAR Görüntü Depoları Yönetimi
M Ahishali, S Kiranyaz, T Ince
TUBITAK TBAG CNR Project, 2017
2017
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Articles 1–18