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ORCIDNeslihan Bayramoglu
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Books and Theses
- 2011
[b1]Neslihan Bayramoglu:
Range data recognition: segmentation, matching, and similarity retrieval ; Derinlik verilerinin tanınması: bölütleme, eşleme ve benzerlik çıkarımı. Middle East Technical University, Çankaya, Ankara, Turkey, 2011
Journal Articles
- 2022
- [j2]Neslihan Bayramoglu, Miika T. Nieminen
, Simo Saarakkala:
Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis. Int. J. Medical Informatics 157: 104627 (2022) - 2016
- [j1]Neslihan Bayramoglu, A. Aydin Alatan:
Comparison of 3D local and global descriptors for similarity retrieval of range data. Neurocomputing 184: 13-27 (2016)
Conference and Workshop Papers
- 2020
- [c11]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. MIUA 2020: 331-345 - 2017
- [c10]Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Janne Heikkilä:
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks. ICCV Workshops 2017: 64-71 - 2016
- [c9]Neslihan Bayramoglu, Janne Heikkilä:
Transfer Learning for Cell Nuclei Classification in Histopathology Images. ECCV Workshops (3) 2016: 532-539 - [c8]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Deep learning for magnification independent breast cancer histopathology image classification. ICPR 2016: 2440-2445 - 2015
- [c7]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Human Epithelial Type 2 cell classification with convolutional neural networks. BIBE 2015: 1-6 - [c6]Neslihan Bayramoglu, Juho Kannala, Malin Akerfelt, Mika Kaakinen, Lauri Eklund, Matthias Nees, Janne Heikkilä:
A novel feature descriptor based on microscopy image statistics. ICIP 2015: 2695-2699 - 2014
- [c5]Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Malin Akerfelt, Matthias Nees, Juho Kannala, Janne Heikkilä:
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach. ICPR 2014: 3345-3350 - 2013
- [c4]Neslihan Bayramoglu, Guoying Zhao, Matti Pietikäinen:
CS-3DLBP and geometry based person independent 3D facial action unit detection. ICB 2013: 1-6 - 2012
- [c3]Neslihan Bayramoglu, Janne Heikkilä, Matti Pietikäinen:
Combining Textural and Geometrical Descriptors for Scene Recognition. ECCV Workshops (2) 2012: 32-41 - [c2]Neslihan Bayramoglu, A. Aydin Alatan:
Lossless description of 3D range models. Visual Information Processing and Communication 2012: 83050B - 2010
- [c1]Neslihan Bayramoglu, A. Aydin Alatan:
Shape Index SIFT: Range Image Recognition Using Local Features. ICPR 2010: 352-355
Informal and Other Publications
- 2023
- [i5]Neslihan Bayramoglu, Martin Englund, Ida K. Haugen, Muneaki Ishijima, Simo Saarakkala:
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments. CoRR abs/2305.05927 (2023) - 2021
- [i4]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST). CoRR abs/2101.04350 (2021) - [i3]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis. CoRR abs/2106.01700 (2021) - 2020
- [i2]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. CoRR abs/2005.11715 (2020) - 2019
- [i1]Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala:
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR abs/1908.07736 (2019)
Coauthor Index
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