Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. - Mehmet Yamaç; Mete Ahishali; Nikolaos Passalis; Jenni Raitoharju; Bülent Sankur; Moncef Gabbouj (EUSIPCO, 2019)

Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks. - Mete Ahishali; Serkan Kiranyaz; Turker Ince; Moncef Gabbouj (Remote. Sens., 2019)

A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images. - Mete Ahishali; Aysen Degerli; Mehmet Yamac; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury; Khalid Hameed; Tahir Hamid; Rashid Mazhar; Moncef Gabbouj (CoRR, 2020)

Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks. - Mete Ahishali; Serkan Kiranyaz; Turker Ince; Moncef Gabbouj (CoRR, 2020)

Reliable Covid-19 Detection using Chest X-Ray Images. - Aysen Degerli; Mete Ahishali; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury; Moncef Gabbouj (ICIP, 2021)

Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images. - Mete Ahishali; Aysen Degerli; Mehmet Yamac; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury; Khalid Hameed; Tahir Hamid; Rashid Mazhar; Moncef Gabbouj (IEEE Access, 2021)

COVID-19 infection map generation and detection from chest X-ray images. - Aysen Degerli; Mete Ahishali; Mehmet Yamac; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury; Khalid Hameed; Tahir Hamid; Rashid Mazhar; Moncef Gabbouj (Health Inf. Sci. Syst., 2021)

Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. - Mehmet Yamaç; Mete Ahishali; Nikolaos Passalis; Jenni Raitoharju; Bülent Sankur; Moncef Gabbouj (IEEE Trans. Inf. Forensics Secur., 2021)

Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images. - Mehmet Yamaç; Mete Ahishali; Aysen Degerli; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury; Moncef Gabbouj (IEEE Trans. Neural Networks Learn. Syst., 2021)

SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection. - Mete Ahishali; Serkan Kiranyaz; Iftikhar Ahmad 001; Moncef Gabbouj (ICIP, 2022)

R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification. - Mete Ahishali; Aysen Degerli; Serkan Kiranyaz; Tahir Hamid; Rashid Mazhar; Moncef Gabbouj (CoRR, 2022)

SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography. - Ilke Adalioglu; Mete Ahishali; Aysen Degerli; Serkan Kiranyaz; Moncef Gabbouj (CinC, 2023)

Improved Active Fire Detection using Operational U-Nets. - Ozer Can Devecioglu; Mete Ahishali; Fahad Sohrab; Turker Ince; Moncef Gabbouj (CoRR, 2023)

Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification. - Sertac Kilickaya; Mete Ahishali; Fahad Sohrab; Turker Ince; Moncef Gabbouj (CoRR, 2023)

Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing. - Mehmet Yamaç; Mete Ahishali; Serkan Kiranyaz; Moncef Gabbouj (IEEE Trans. Neural Networks Learn. Syst., 2023)

Representation based regression for object distance estimation. - Mete Ahishali; Mehmet Yamac; Serkan Kiranyaz; Moncef Gabbouj (Neural Networks, 2023)

Dropout Concrete Autoencoder for Band Selection on HSI Scenes. - Lei Xu 036; Mete Ahishali; Moncef Gabbouj (CoRR, 2024)

Echocardiography to Cardiac MRI View Transformation for Real-Time Blind Restoration. - Ilke Adalioglu; Serkan Kiranyaz; Mete Ahishali; Aysen Degerli; Tahir Hamid; Rahmat Ghaffar; Ridha Hamila; Moncef Gabbouj (CoRR, 2024)

Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description. - Sertac Kilickaya; Mete Ahishali; Cansu Celebioglu; Fahad Sohrab; Levent Eren; Turker Ince; Murat Askar; Moncef Gabbouj (CoRR, 2024)

R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification. - Mete Ahishali; Aysen Degerli; Serkan Kiranyaz; Tahir Hamid; Rashid Mazhar; Moncef Gabbouj (Pattern Recognit., 2024)

Operational Support Estimator Networks. - Mete Ahishali; Mehmet Yamac; Serkan Kiranyaz; Moncef Gabbouj (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dropout Concrete Autoencoder for Band Selection on Hyperspectral Image Scenes. - Lei Xu 036; Mete Ahishali; Moncef Gabbouj (IEEE Geosci. Remote. Sens. Lett., 2025)

Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial Imagery. - Anis Ur Rahman 001; Einari Heinaro; Mete Ahishali; Samuli Junttila (CoRR, 2025)

ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery. - Mete Ahishali; Anis Ur Rahman 001; Einari Heinaro; Samuli Junttila (CoRR, 2025)

Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection. - Lei Xu 036; Mehmet Yamac; Mete Ahishali; Moncef Gabbouj (CoRR, 2025)