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ORCIDSongül Albayrak
Person information
- affiliation: Yildiz Technical University, Istanbul, Turkey
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2020 – today
- 2024
[j19]Ceren Gulra Melek
, Elena Battini Sönmez, Songül Varli:
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. 133: 108452 (2024)- [c40]M. Taha Gökcan, Yasemin Topuz, Songül Varli:
Epidermis Segmentation in Melanoma Whole Slide Images: A Comparative Analysis of Deep Learning Architectures. INISTA 2024: 1-6 - [c39]Serdar Yildiz, Abbas Memis, Songül Varli:
A Comparative Analysis of Loss Functions in Segmentation of Medical Images with Highly Imbalanced Class Distribution: An Experimental Study for Deep Nuclei Segmentation. INISTA 2024: 1-6 - [c38]Serdar Yildiz, Abbas Memis, Songül Varli:
Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models. SIU 2024: 1-4 - [c37]Serdar Yildiz, Abbas Memis, Songül Varli:
Turkish Image Captioning with Vision Transformer Based Encoders and Text Decoders. SIU 2024: 1-4 - [c36]Serdar Yildiz, Abbas Memis, Songül Varli:
Semantic and Instance Segmentation of Multi-organ Cell Nuclei Using Deep Learning Based Methods. SIU 2024: 1-4 - 2023
- [j18]Serdar Yildiz, Abbas Memis, Songül Varli:
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. 31(6): 1079-1098 (2023) - [j17]Sara Akan, Songül Varli:
Use of deep learning in soccer videos analysis: survey. Multim. Syst. 29(3): 897-915 (2023) - [c35]Sara Akan, Songül Varli:
Reidentifying soccer players in broadcast videos using Body Feature Alignment Based on Pose. CNIOT 2023: 440-444 - [c34]Serdar Yildiz, Abbas Memis, Songül Varli:
Size-based Adaptive Instance Pruning for Refined Segmentation of Cell Nuclei in Histology Images. SIU 2023: 1-4 - 2022
- [j16]Abbas Memis, Songül Varli, Fuat Bilgili:
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. 71(Part): 103079 (2022) - [j15]Serdar Yildiz, Onur Aydemir, Abbas Memis, Songül Varli:
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. 114: 105032 (2022) - [c33]Saadet Aytaç Arpaci, Songül Varli:
Semantic Segmentation with the Mixup Data Augmentation Method. SIU 2022: 1-4 - 2021
- [j14]Abbas Memis, Songül Varli, Fuat Bilgili:
A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry. Artif. Intell. Medicine 115: 102057 (2021) - [c32]Abbas Memis, Songül Varli, Fuat Bilgili:
Automatic Classification of the Waldenstrom Stages of Legg-Calve-Perthes Disease from the 2D Total Proximal Femur Shape Deformity. INISTA 2021: 1-6 - [c31]Saadet Aytaç Arpaci, Songül Varli:
EncU-Net: A Modified U-Net for Dermoscopic Image Segmentation. SIU 2021: 1-4 - [c30]Abbas Memis, Songül Varli, Fuat Bilgili:
Random Point Sub-sampling in Rigid Registration of 2D Proximal Femur Surfaces. SIU 2021: 1-4 - 2020
- [j13]Abbas Memis, Songül Varli, Fuat Bilgili:
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. 81: 101715 (2020) - [c29]Saadet Aytaç Arpaci, Songül Varli:
Retinal Vessel Segmentation with Differentiated U-Net Network. SIU 2020: 1-4 - [c28]Abbas Memis, Songül Varli, Fuat Bilgili:
Femoral Head Segmentation with Convolutional Neural Networks in MR Imaging Slices of the Patients with Legg-Calve-Perthes Disease. SIU 2020: 1-4 - [c27]Serdar Yildiz, Onur Aydemir, Iskender Yilmaz, Ayhan Say, Songül Varli:
Customer Churn Analysis. SIU 2020: 1-4
2010 – 2019
- 2019
- [j12]Ahmet Saygili, Songül Albayrak:
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images. Artif. Intell. Medicine 97: 118-130 (2019) - [j11]Abbas Memis, Songül Varli, Fuat Bilgili:
Computerized 2D detection of the multiform femoral heads in magnetic resonance imaging (MRI) sections with the integro-differential operator. Biomed. Signal Process. Control. 54 (2019) - [j10]Abbas Memis, Songül Albayrak, Fuat Bilgili:
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. 175: 83-93 (2019) - [c26]Ceren Gulra Melek, Elena Battini Sonmez, Songul Albayrak:
Object Detection in Shelf Images with YOLO. EUROCON 2019: 1-5 - 2018
- [c25]Abbas Memis, Songül Albayrak, Fuat Bilgili:
3D Detection of Spheric and Aspheric Femoral Heads in Coronal MR Images of Patients with Legg-Calve-Perthes Disease Using the Spherical Hough Transform. ICBSP 2018: 46-52 - [c24]Ceyda Nur Öztürk, Songül Albayrak:
Segmentation of Femoral Cartilage with a Hybrid Method Combining Voxel Classification and Active Appearance Models. ICBSP 2018: 61-67 - [c23]Abbas Memis, Songul Albayrak, Fuat Bilgili:
Femoral head detection in perthes MR slices with circular hough transform. SIU 2018: 1-4 - [c22]Ahmet Saygili, Songul Albayrak:
Meniscus tear classification using histogram of oriented gradients in knee MR images. SIU 2018: 1-4 - [i3]Emre Egriboz, Furkan Kaynar, Songül Varli Albayrak, Benan Müsellim, Tuba Selçuk:
Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning. CoRR abs/1811.02651 (2018) - 2017
- [j9]Hakan Ayral, Songül Albayrak:
Effects of Population, Generation and Test Case Count on Grammatical Genetic Programming for Integer Lists. J. Softw. 12(6): 483-492 (2017) - [c21]Ahmet Saygili, Songul Albayrak:
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method. SIU 2017: 1-4 - [i2]Hakan Ayral, Songül Albayrak:
Parallel and in-process compilation of individuals for genetic programming on GPU. CoRR abs/1705.07492 (2017) - [i1]Hakan Ayral, Songül Albayrak:
Parallel and in-process compilation of individuals for genetic programming on GPU. PeerJ Prepr. 5: e2936 (2017) - 2016
- [j8]Ceyda Nur Öztürk, Songül Albayrak:
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 72: 90-107 (2016) - [c20]Ahmet Saygili, Heysem Kaya, Songul Albayrak:
Automatic detection of meniscal area in the knee MR images. SIU 2016: 1337-1340 - 2015
- [j7]Aysun Sezer, Hasan Basri Sezer, Songul Albayrak:
Segmentation of Bone with Region Based Active Contour Model in PD Weighted MR Images of Shoulder. Comput. Math. Methods Medicine 2015: 754894:1-754894:13 (2015) - [c19]Aysun Sezer, Hasan Basri Sezer, Songul Albayrak:
Classification of bone pathologies with finite discrete shearlet transform based shape descriptors. IPTA 2015: 293-297 - [c18]Mumin Yildiz, Songul Albayrak:
Customer churn prediction in telecommunication. SIU 2015: 256-259 - [c17]Ceyda Nur Öztürk, Songul Albayrak:
Edge detection on MR images with Marr-Hildreth method extended to third dimension. SIU 2015: 763-766 - [c16]Nicat Nasirov, Songul Albayrak:
Modelling user's location check-ins on location-based social networks. SIU 2015: 2246-2249 - 2014
- [j6]Erkan Uslu, Songul Albayrak:
Curvelet-Based Synthetic Aperture Radar Image Classification. IEEE Geosci. Remote. Sens. Lett. 11(6): 1071-1075 (2014) - [j5]Erkan Uslu, Songul Albayrak:
Synthetic Aperture Radar Image Clustering with Curvelet Subband Gauss Distribution Parameters. Remote. Sens. 6(6): 5497-5519 (2014) - [c15]Çigdem Bakir, Songul Albayrak:
User based and item based collaborative filtering with temporal dynamics. SIU 2014: 252-255 - [c14]Aysun Sezer, Hasan Basri Sezer, Songul Albayrak:
Segmentation of humeral head from MR slices. SIU 2014: 1399-1402 - 2013
- [j4]Elena Battini Sonmez, Songul Albayrak:
Critical parameters of the sparse representation-based classifier. IET Comput. Vis. 7(6): 500-507 (2013) - [c13]Abbas Memis, Songül Albayrak:
A Kinect based sign language recognition system using spatio-temporal features. ICMV 2013: 90670X - [c12]Abbas Memis, Songul Albayrak:
Turkish Sign Language recognition using spatio-temporal features on Kinect RGB video sequences and depth maps. SIU 2013: 1-4 - [c11]Akkenzhe Sarmanova, Songul Albayrak:
Alleviating class imbalance problem in data mining. SIU 2013: 1-4 - [c10]Ahmet Saygili, Songul Albayrak:
Faculty of engineering students' success analysis with clustering methods. SIU 2013: 1-4 - [c9]Erkan Uslu, Songul Albayrak:
Canny and gauss enhancement on speckle reducing anisotropic diffusion. SIU 2013: 1-4 - 2012
- [j3]Oguz Altun, Songül Albayrak:
An evaluation of local interest regions for non-rigid object class recognition. Expert Syst. Appl. 39(3): 2335-2340 (2012) - [c8]Elena Battini Sonmez, Bülent Sankur, Songul Albayrak:
Classification with emotional faces via a robust sparse classifier. IPTA 2012: 344-349 - 2011
- [j2]Oguz Altun, Songül Albayrak:
Turkish fingerspelling recognition system using Generalized Hough Transform, interest regions, and local descriptors. Pattern Recognit. Lett. 32(13): 1626-1632 (2011) - [c7]Elena Battini Sonmez, Bülent Sankur, Songul Albayrak:
Face Classification via Sparse Approximation. BIOID 2011: 168-179
2000 – 2009
- 2008
- [j1]Banu Diri, Songül Albayrak:
Visualization and analysis of classifiers performance in multi-class medical data. Expert Syst. Appl. 34(1): 628-634 (2008) - 2006
- [c6]Banu Diri, Songül Albayrak:
Color Image Compression using Self Organizing Feature Map. Artificial Intelligence and Applications 2006: 162-166 - [c5]Oguz Altun, Songül Albayrak, Ali Ekinci, Behzat Bükün:
Turkish Fingerspelling Recognition System Using Axis of Least Inertia Based Fast Alignment. Australian Conference on Artificial Intelligence 2006: 473-481 - [c4]Hakan Haberdar, Songül Albayrak:
A Two-Stage Visual Turkish Sign Language Recognition System Based on Global and Local Features. ISMIS 2006: 29-37 - [c3]Oguz Altun, Songül Albayrak:
Increasing the Effect of Fingers in Fingerspelling Hand Shapes by Thick Edge Detection and Correlation with Penalization. PSIVT 2006: 1133-1141 - 2005
- [c2]Hakan Haberdar, Songül Albayrak:
Real Time Isolated Turkish Sign Language Recognition from Video Using Hidden Markov Models with Global Features. ISCIS 2005: 677-687 - 2003
- [c1]Songül Albayrak:
Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data. ICANN 2003: 695-701 - 2000
- [b1]Songül Albayrak:
Renk özelliği ile içerik tabanlı görüntü erişimi. Yıldız Technical University, Turkey, 2000
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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