Neslihan Bayramoğlu

894 total citations · 1 hit paper
17 papers, 551 citations indexed

About

Neslihan Bayramoğlu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Neslihan Bayramoğlu has authored 17 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Neslihan Bayramoğlu's work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Neslihan Bayramoğlu is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Neslihan Bayramoğlu collaborates with scholars based in Finland, Türkiye and Sweden. Neslihan Bayramoğlu's co-authors include Janne Heikkilä, Juho Kannala, A. Aydın Alatan, Mika Kaakinen, Lauri Eklund, Simo Saarakkala, Miika T. Nieminen, Matti Pietikäinen, Guoying Zhao and Sean M. Robinson and has published in prestigious journals such as Neurocomputing, Journal of Orthopaedic Research® and Osteoarthritis and Cartilage.

In The Last Decade

Neslihan Bayramoğlu

17 papers receiving 532 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for magnification independent breast cancer histopathology image classification

2016 300 citations Neslihan Bayramoğlu, Juho Kannala et al. University of Oulu Repository (University of Oulu) profile →

Peers

Neslihan Bayramoğlu

CVPR

RNMI

BIOPH

Spiros Kostopoulos Greece

Yushan Zheng China

Xiaowei Ding China

John Tomaszeweski United States

Aiping Qu China

Wenqi Lu United Kingdom

Dzhoshkun I. Shakir United Kingdom

Donato Cascio Italy

Antoine Veillard Singapore

Spiros Kostopoulos Greece

Neslihan Bayramoğlu

249 ×0.7

128 ×0.5

CVPR

306 ×1.2

RNMI

52 ×0.8

BIOPH

115 ×1.9

Citations per year, relative to Neslihan Bayramoğlu Neslihan Bayramoğlu (= 1×) peers Spiros Kostopoulos

Countries citing papers authored by Neslihan Bayramoğlu

Since Specialization

Citations

This map shows the geographic impact of Neslihan Bayramoğlu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neslihan Bayramoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neslihan Bayramoğlu more than expected).

Fields of papers citing papers by Neslihan Bayramoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neslihan Bayramoğlu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neslihan Bayramoğlu. The network helps show where Neslihan Bayramoğlu may publish in the future.

Co-authorship network of co-authors of Neslihan Bayramoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Neslihan Bayramoğlu. A scholar is included among the top collaborators of Neslihan Bayramoğlu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neslihan Bayramoğlu. Neslihan Bayramoğlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Bayramoğlu, Neslihan, Martin Englund, I.K. Haugen, Muneaki Ishijima, & Simo Saarakkala. (2024). Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data, and Symptomatic Assessments. Methods of Information in Medicine. 63(01/02). 1–10. 6 indexed citations

Bayramoğlu, Neslihan, Martin Englund, I.K. Haugen, Muneaki Ishijima, & Simo Saarakkala. (2024). Capability of Deep Learning to Detect Painful Knees in Osteoarthritis Using Radiographs: Comparison between Posterior-Anterior and Lateral Views. Osteoarthritis and Cartilage. 32. S67–S68. 1 indexed citations

Bayramoğlu, Neslihan, et al.. (2024). Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology. Journal of Orthopaedic Research®. 42(7). 1473–1481. 6 indexed citations

Bayramoğlu, Neslihan, et al.. (2024). Investigation of Nrf2-Keap-1 pathway, Sestrin 2 and oxidative stress markers in serum of patients with placenta Accreata spectrum. European Journal of Obstetrics & Gynecology and Reproductive Biology. 302. 211–215. 2 indexed citations

Bayramoğlu, Neslihan, Miika T. Nieminen, & Simo Saarakkala. (2022). Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis. University of Oulu Repository (University of Oulu). 34 indexed citations

Bayramoğlu, Neslihan, Mika Kaakinen, Lauri Eklund, & Janne Heikkilä. (2017). Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks. University of Oulu Repository (University of Oulu). 64–71. 63 indexed citations

Bayramoğlu, Neslihan, Juho Kannala, & Janne Heikkilä. (2016). Deep learning for magnification independent breast cancer histopathology image classification. University of Oulu Repository (University of Oulu). 2440–2445. 300 indexed citations breakdown →

Bayramoğlu, Neslihan, Juho Kannala, & Janne Heikkilä. (2015). Human Epithelial Type 2 cell classification with convolutional neural networks. 1–6. 32 indexed citations

Åkerfelt, Malin, Neslihan Bayramoğlu, Sean M. Robinson, et al.. (2015). Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention. Oncotarget. 6(30). 30035–30056. 33 indexed citations

10.

Bayramoğlu, Neslihan & A. Aydın Alatan. (2015). Comparison of 3D local and global descriptors for similarity retrieval of range data. Neurocomputing. 184. 13–27. 3 indexed citations

11.

Bayramoğlu, Neslihan, Mika Kaakinen, Lauri Eklund, et al.. (2014). Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach. 1. 3345–3350. 5 indexed citations

12.

Bayramoğlu, Neslihan, Guoying Zhao, & Matti Pietikäinen. (2013). CS-3DLBP and geometry based person independent 3D facial action unit detection. 88. 1–6. 15 indexed citations

13.

Bayramoğlu, Neslihan & A. Aydın Alatan. (2012). Lossless description of 3D range models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8305. 83050B–83050B. 1 indexed citations

14.

Bayramoğlu, Neslihan, et al.. (2010). Utilization of spatial information for point cloud segmentation. 36. 1–4. 3 indexed citations

15.

Bayramoğlu, Neslihan & A. Aydın Alatan. (2010). Shape Index SIFT: Range Image Recognition Using Local Features. OpenMETU (Middle East Technical University). 352–355. 45 indexed citations

16.

Bayramoğlu, Neslihan, et al.. (2009). INTEGRATION OF 2D IMAGES AND RANGE DATA FOR OBJECT SEGMENTATION AND RECOGNITION. OpenMETU (Middle East Technical University). 927–933. 1 indexed citations

17.

Bayramoğlu, Neslihan & A. Aydın Alatan. (2009). Segmentation driven semantic information inference from 2.5D data. OpenMETU (Middle East Technical University). 82. 604–607. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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