Songül Albayrak
Orcid: 0000-0002-1786-6869Affiliations:
- Yildiz Technical University, Istanbul, Turkey
According to our database1,
Songül Albayrak
authored at least 62 papers
between 2000 and 2024.
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Bibliography
2024
Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review.
Eng. Appl. Artif. Intell., 2024
Semantic and Instance Segmentation of Multi-organ Cell Nuclei Using Deep Learning Based Methods.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
A Comparative Analysis of Loss Functions in Segmentation of Medical Images with Highly Imbalanced Class Distribution: An Experimental Study for Deep Nuclei Segmentation.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024
Epidermis Segmentation in Melanoma Whole Slide Images: A Comparative Analysis of Deep Learning Architectures.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024
2023
TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders.
Turkish J. Electr. Eng. Comput. Sci., October, 2023
Size-based Adaptive Instance Pruning for Refined Segmentation of Cell Nuclei in Histology Images.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
Reidentifying soccer players in broadcast videos using Body Feature Alignment Based on Pose.
Proceedings of the 2023 4th International Conference on Computing, 2023
2022
A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach.
Eng. Appl. Artif. Intell., 2022
Image based quantification of the proximal femur shape deformities in 3D by using the contralateral healthy shape structure: A preliminary study.
Biomed. Signal Process. Control., 2022
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
2021
A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry.
Artif. Intell. Medicine, 2021
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
Automatic Classification of the Waldenstrom Stages of Legg-Calve-Perthes Disease from the 2D Total Proximal Femur Shape Deformity.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021
2020
Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols.
Comput. Medical Imaging Graph., 2020
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Femoral Head Segmentation with Convolutional Neural Networks in MR Imaging Slices of the Patients with Legg-Calve-Perthes Disease.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
2019
A new scheme for automatic 2D detection of spheric and aspheric femoral heads: A case study on coronal MR images of bilateral hip joints of patients with Legg-Calve-Perthes disease.
Comput. Methods Programs Biomed., 2019
Computerized 2D detection of the multiform femoral heads in magnetic resonance imaging (MRI) sections with the integro-differential operator.
Biomed. Signal Process. Control., 2019
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images.
Artif. Intell. Medicine, 2019
Proceedings of the IEEE EUROCON 2019, 2019
2018
Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning.
CoRR, 2018
Meniscus tear classification using histogram of oriented gradients in knee MR images.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
Segmentation of Femoral Cartilage with a Hybrid Method Combining Voxel Classification and Active Appearance Models.
Proceedings of the 2018 3rd International Conference on Biomedical Imaging, 2018
3D Detection of Spheric and Aspheric Femoral Heads in Coronal MR Images of Patients with Legg-Calve-Perthes Disease Using the Spherical Hough Transform.
Proceedings of the 2018 3rd International Conference on Biomedical Imaging, 2018
2017
PeerJ Prepr., 2017
Effects of Population, Generation and Test Case Count on Grammatical Genetic Programming for Integer Lists.
J. Softw., 2017
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017
2016
Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling.
Comput. Biol. Medicine, 2016
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
2015
Segmentation of Bone with Region Based Active Contour Model in PD Weighted MR Images of Shoulder.
Comput. Math. Methods Medicine, 2015
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Classification of bone pathologies with finite discrete shearlet transform based shape descriptors.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
2014
Synthetic Aperture Radar Image Clustering with Curvelet Subband Gauss Distribution Parameters.
Remote. Sens., 2014
IEEE Geosci. Remote. Sens. Lett., 2014
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
2013
IET Comput. Vis., 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Turkish Sign Language recognition using spatio-temporal features on Kinect RGB video sequences and depth maps.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Proceedings of the Sixth International Conference on Machine Vision, 2013
2012
Expert Syst. Appl., 2012
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012
2011
Turkish fingerspelling recognition system using Generalized Hough Transform, interest regions, and local descriptors.
Pattern Recognit. Lett., 2011
Proceedings of the Biometrics and ID Management, 2011
2008
Expert Syst. Appl., 2008
2006
Increasing the Effect of Fingers in Fingerspelling Hand Shapes by Thick Edge Detection and Correlation with Penalization.
Proceedings of the Advances in Image and Video Technology, First Pacific Rim Symposium, 2006
A Two-Stage Visual Turkish Sign Language Recognition System Based on Global and Local Features.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006
Turkish Fingerspelling Recognition System Using Axis of Least Inertia Based Fast Alignment.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006
2005
Real Time Isolated Turkish Sign Language Recognition from Video Using Hidden Markov Models with Global Features.
Proceedings of the Computer and Information Sciences, 2005
2003
Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2000