Browsing by Author "Karakış, Rukiye"
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Deep learning prediction of motor performance in stroke individuals using neuroimaging data
Karakış, Rukiye; Gürkahraman, Kali; Mitsis, Georgios D.; Boudrias, Marie-Hélène (Elsevier Science Direct, 12/04/2023)The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have ... -
Deep learning prediction of motor performance in stroke individuals using neuroimaging data
Karakış, Rukiye; Gürkahraman, Kali; Mitsis, Georgios D.; Boudrias, Marie-Hélène (Elsevier Science Direct, 2023)The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have ... -
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
Yapıcı, Muhammed Mutlu; Karakış, Rukiye; Gürkahraman, Kali (Tech Science Press, 2023)Deep learning (DL) techniques, which do not need complex pre-processing and feature analysis, are used in many areas of medicine and achieve promising results. On the other hand, in medical studies, a limited dataset ... -
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
Yapıcı, Muhammed Mutlu; Karakış, Rukiye; Gürkahraman, Kali (Tech Science Press, 2023)Deep learning (DL) techniques, which do not need complex pre-processing and feature analysis, are used in many areas of medicine and achieve promising results. On the other hand, in medical studies, a limited dataset ... -
Mermer Plaka Sınıflandırma Sistem Tasarımı
Karakış, Rukiye; Teknoloji Fakültesi; https://orcid.org/0000-0002-1797-3461 (01.02.2023)Desen Derin Ogrenme Tabanli Mermer Seleksiyon Sistem tasarimi, transfer öğrenme süreçlerini kullanarak ülkemizde bulunan 650 çeşit mermer ailesinin her birinin kendi içinde örüntülerine göre otomatik sınıflandırabilecek ... -
MI-STEG: A Medical Image Steganalysis Framework Based on Ensemble Deep Learning
Karakış, Rukiye (Tech Science Press, 2023)Medical image steganography aims to increase data security by concealing patient-personal information as well as diagnostic and therapeutic data in the spatial or frequency domain of radiological images. On the other hand, ... -
Real-time detection of acromegaly from facial images with artificial intelligence
KIZILGÜL, MUHAMMED; Karakış, Rukiye; Doğan, Nurettin; Bostan, Hayri; Yapıcı, Muhammed Mutlu; Gül, Ümran; Uçan, Bekir; Duman, Elvan; Düğer, Hakan; Çakal, Erman; Akın, Ömer (Oxford University Press (OUP), 2023)Objective Despite improvements in diagnostic methods, acromegaly is still a late-diagnosed disease. In this study, it was aimed to automatically recognize acromegaly disease from facial images by using deep learning methods ...