24 citations · 55 across the 6 of their papers we have counts for
6 papers
Operational vs Convolutional Neural Networks for Image Denoising
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
Convolutional Neural Networks (CNNs) have recently become a favored technique for image denoising due to its adaptive learning ability, especially with a deep configuration. Howeve…
Self-Organized Operational Neural Networks for Severe Image Restoration Problems
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
Discriminative learning based on convolutional neural networks (CNNs) aims to perform image restoration by learning from training examples of noisy-clean image pairs. It has become…
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…
FastONN -- Python based open-source GPU implementation for Operational Neural Networks
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
Operational Neural Networks (ONNs) have recently been proposed as a special class of artificial neural networks for grid structured data. They enable heterogenous non-linear operat…
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush +7
Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales…
Colorectal cancer diagnosis from histology images: A comparative study
Junaid Malik, Serkan Kiranyaz, Suchitra Kunhoth +4
Computer-aided diagnosis (CAD) based on histopathological imaging has progressed rapidly in recent years with the rise of machine learning based methodologies. Traditional approach…