10 citations · 11 across the 5 of their papers we have counts for
5 papers
COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipeline
Kenan Morani
The main purpose of this study is to develop a pipeline for COVID-19 detection from a big and challenging database of Computed Tomography (CT) images. The proposed pipeline include…
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
Kenan Morani, Devrim Unay
A method of a Convolutional Neural Networks (CNN) for image classification with image preprocessing and hyperparameters tuning was proposed. The method aims at increasing the predi…
Channel Attention Networks for Robust MR Fingerprinting Matching
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy +5
Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF relies on varyin…
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-photon microscopy images
Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen +2
Data driven segmentation is an important initial step of shape prior-based segmentation methods since it is assumed that the data term brings a curve to a plausible level so that s…
Dendritic Spine Shape Analysis: A Clustering Perspective
Muhammad Usman Ghani, Ertunc Erdil, Sumeyra Demir Kanik +6
Functional properties of neurons are strongly coupled with their morphology. Changes in neuronal activity alter morphological characteristics of dendritic spines. First step toward…