| 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 | 125 | 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), 15, 2021 | 112 | 2021 |
| 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 | 79* | 2021 |
| 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 | 39 | 2020 |
| 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 | 27 | 2019 |
| 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 | 27 | 2019 |
| 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 | 25 | 2021 |
| 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 | 14 | 2021 |
| 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 34 (1), 290-304, 2021 | 13 | 2021 |
| Representation based regression for object distance estimation M Ahishali, M Yamac, S Kiranyaz, M Gabbouj Neural Networks 158, 15-29, 2023 | 11 | 2023 |
| SRL-SOA: Self-representation learning with sparse 1D-operational autoencoder for hyperspectral image band selection M Ahishali, S Kiranyaz, I Ahmad, M Gabbouj 2022 IEEE International Conference on Image Processing (ICIP), 2296-2300, 2022 | 11 | 2022 |
| 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 | 9 | 2020 |
| Hyperspectral image analysis with subspace learning-based one-class classification S Kilickaya, M Ahishali, F Sohrab, T Ince, M Gabbouj 2023 Photonics & Electromagnetics Research Symposium (PIERS), 953-959, 2023 | 7 | 2023 |
| 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 | 7 | 2017 |
| SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography I Adalioglu, M Ahishali, A Degerli, S Kiranyaz, M Gabbouj 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | 6 | 2023 |
| R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification M Ahishali, A Degerli, S Kiranyaz, T Hamid, R Mazhar, M Gabbouj Pattern Recognition 156, 110765, 2024 | 5* | 2024 |
| 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 | 4 | 2019 |
| Improved Active Fire Detection Using Operational U-nets OC Devecioglu, M Ahishali, F Sohrab, T Ince, M Gabbouj 2023 Photonics & Electromagnetics Research Symposium (PIERS), 692-697, 2023 | 3 | 2023 |
| Operational Support Estimator Networks M Ahishali, M Yamac, S Kiranyaz, M Gabbouj IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description S Kilickaya, M Ahishali, C Celebioglu, F Sohrab, L Eren, T Ince, M Askar, ... arXiv preprint arXiv:2412.10792, 2024 | | 2024 |
Moncef GabboujProfessor, Tampere UniversityVerified email at tuni.fi