9 citations · 13 across the 13 of their papers we have counts for
15 papers
Multi-Pass, Multi-View Blended Learning for High-Fidelity Volumetric CT Synthesis from Chest X-Rays
Ozer Can Devecioglu, Serkan Kiranyaz, Rashid Mazhar +3
Reconstructing volumetric Computed Tomography (CT) from a single 2D chest radiograph (CXR) is an ill-posed inverse problem, further complicated by the scarcity of paired CXR-CT tra…
Expert Operational GANS: Towards Real-Color Underwater Image Restoration
Ozer Can Devecioglu, Serkan Kiranyaz, Mehmet Yamac +1
The wide range of deformation artifacts that arise from complex light propagation, scattering, and depth-dependent attenuation makes the underwater image restoration to remain a ch…
Progressive Transfer Learning for Multi-Pass Fundus Image Restoration
Uyen Phan, Ozer Can Devecioglu, Serkan Kiranyaz +1
Diabetic retinopathy is a leading cause of vision impairment, making its early diagnosis through fundus imaging critical for effective treatment planning. However, the presence of…
Blind Underwater Image Restoration using Co-Operational Regressor Networks
Ozer Can Devecioglu, Serkan Kiranyaz, Turker Ince +1
The exploration of underwater environments is essential for applications such as biological research, archaeology, and infrastructure maintenanceHowever, underwater imaging is chal…
High-Quality and Full Bandwidth Seismic Signal Synthesis using Operational GANs
Ozer Can Devecioglu, Serkan Kiranyaz, Zafer Yilmaz +3
Vibration sensors are essential in acquiring seismic activity for an accurate earthquake assessment. The state-of-the-art sensors can provide the best signal quality and the highes…
Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery
Serkan Kiranyaz, Ozer Can Devecioglu, Amir Alhams +4
Robust and real-time detection of faults on rotating machinery has become an ultimate objective for predictive maintenance in various industries. Vibration-based Deep Learning (DL)…
Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring
Ozer Can Devecioglu, Serkan Kiranyaz, Amer Elhmes +6
Automatic sensor-based detection of motor failures such as bearing faults is crucial for predictive maintenance in various industries. Numerous methodologies have been developed ov…
Improved Active Fire Detection using Operational U-Nets
Ozer Can Devecioglu, Mete Ahishali, Fahad Sohrab +2
As a consequence of global warming and climate change, the risk and extent of wildfires have been increasing in many areas worldwide. Warmer temperatures and drier conditions can c…
Blind Restoration of Real-World Audio by 1D Operational GANs
Turker Ince, Serkan Kiranyaz, Ozer Can Devecioglu +3
Objective: Despite numerous studies proposed for audio restoration in the literature, most of them focus on an isolated restoration problem such as denoising or dereverberation, ig…
Zero-Shot Motor Health Monitoring by Blind Domain Transition
Serkan Kiranyaz, Ozer Can Devecioglu, Amir Alhams +5
Continuous long-term monitoring of motor health is crucial for the early detection of abnormalities such as bearing faults (up to 51% of motor failures are attributed to bearing fa…
Blind ECG Restoration by Operational Cycle-GANs
Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince +8
Continuous long-term monitoring of electrocardiography (ECG) signals is crucial for the early detection of cardiac abnormalities such as arrhythmia. Non-clinical ECG recordings acq…
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz +2
Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high ac…
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
Turker Ince, Junaid Malik, Ozer Can Devecioglu +4
Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recent…
Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs
Ozer Can Devecioglu, Junaid Malik, Turker Ince +3
Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any symptoms as it progr…
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network
Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince +5
Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic…