24 citations · 57 across the 11 of their papers we have counts for
5 papers · 1 filter
BM3D vs 2-Layer ONN
Junaid Malik, Serkan Kiranyaz, Mehmet Yamac +1
Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient met…
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
Junaid Malik, Serkan Kiranyaz, Mehmet Yamac +2
Real-world blind denoising poses a unique image restoration challenge due to the non-deterministic nature of the underlying noise distribution. Prevalent discriminative networks tr…
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…
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…