activity
20192022
most citedColorectal cancer diagnosis from histology images: A comparative study

23 citations · 33 across the 6 of their papers we have counts for

collaborators

10 papers

eess.SP2022

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…

eess.SP2021

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…

cs.LG2021

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…

eess.IV2021

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…

cs.NE2020

Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity

Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah +3

The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear…

cs.LG2020

Self-Organized Operational Neural Networks with Generative Neurons

Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah +3

Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as netw…