| Deep Learning for Magnification Independent Breast Cancer Histopathology Image Classification N Bayramoglu, J Kannala, J Heikkilä 23rd International Conference on Pattern Recognition, ICPR 2016., 2016 | 509 | 2016 |
| Towards virtual H&E staining of hyperspectral lung histology images using conditional generative adversarial networks N Bayramoglu, M Kaakinen, L Eklund, J Heikkila Proceedings of the IEEE international conference on computer vision …, 2017 | 155 | 2017 |
| Transfer Learning for Cell Nuclei Classification in Histopathology Images N Bayramoglu, J Heikkilä The 14th European Conference on Computer Vision, ECCV, 2016. Workshops and …, 2016 | 127 | 2016 |
| Shape index SIFT: Range image recognition using local features N Bayramoglu, AA Alatan 2010 20th International Conference on Pattern Recognition, 352-355, 2010 | 78 | 2010 |
| Human Epithelial Type 2 Cell Classification with Convolutional Neural Networks N Bayramoglu, J Kannala, J Heikkilä 15th International Conference on Bioinformatics & Bioengineering (BIBE), 2015 | 51 | 2015 |
| Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention M Åkerfelt, N Bayramoglu, S Robinson, M Toriseva, HP Schukov, ... Oncotarget 6 (30), 30035, 2015 | 46 | 2015 |
| Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis N Bayramoglu, MT Nieminen, S Saarakkala International journal of medical informatics 157, 104627, 2022 | 42 | 2022 |
| Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis N Bayramoglu, A Tiulpin, J Hirvasniemi, MT Nieminen, S Saarakkala https://linkinghub.elsevier.com/retrieve/pii/S1063458420309481, 2019 | 39 | 2019 |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images J Hirvasniemi, J Runhaar, RA van der Heijden, M Zokaeinikoo, M Yang, ... Osteoarthritis and cartilage 31 (1), 115-125, 2023 | 37 | 2023 |
| CS-3DLBP and geometry based person independent 3D facial action unit detection N Bayramoglu, G Zhao, M Pietikäinen 2013 International Conference on Biometrics (ICB), 1-6, 2013 | 27 | 2013 |
| Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST) N Bayramoglu, MT Nieminen, S Saarakkala Osteoarthritis and Cartilage, 2021 | 25 | 2021 |
| A lightweight CNN and joint shape-joint space () descriptor for radiological osteoarthritis detection N Bayramoglu, MT Nieminen, S Saarakkala Annual Conference on Medical Image Understanding and Analysis, 331-345, 2020 | 20 | 2020 |
| Comparison of 3D Local and Global Descriptors for Similarity Retrieval of Range Data N Bayramoglu, AA Alatan Neurocomputing, 2015 | 8 | 2015 |
| Range data recognition: Segmentation, matching, and similarity retrieval NY Bayramoğlu PQDT-Global, 2011 | 6 | 2011 |
| Utilization of spatial information for point cloud segmentation O Akman, N Bayramoğlu, AA Alatan, P Jonker 2010 3DTV-Conference: The True Vision-Capture, Transmission and Display of …, 2010 | 6 | 2010 |
| Detection of tumor cell spheroids from co-cultures using phase contrast images and machine learning approach. N Bayramoglu, M Kaakinen, L Eklund, M Åkerfelt, M Nees, J Kannala, ... Proc. 22nd International Conference on Pattern Recognition (ICPR), 3345-3350, 2014 | 5 | 2014 |
| Recursive shortest spanning tree algorithms for image segmentation NY Bayramoglu, CF Bazlamacci EUROCON 2005-The International Conference on" Computer as a Tool" 2, 979-982, 2005 | 5 | 2005 |
| Integration of 2d images and range data for object segmentation and recognition N Bayramoğlu, O Akman, AA Alatan, P Jonker Mobile Robotics: Solutions and Challenges, 927-933, 2010 | 4 | 2010 |
| Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology M Daneshmand, E Panfilov, N Bayramoglu, RK Korhonen, S Saarakkala The Journal of Orthopaedic Research, 2024 | 3 | 2024 |
| Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments N Bayramoglu, M Englund, IK Haugen, M Ishijima, S Saarakkala https://www.thieme-connect.de/products/ejournals/html/10.1055/a-2305-2115, 2024 | 2 | 2024 |
Janne HeikkiläProfessor of Computer Science and Engineering, University of Oulu在 oulu.fi 的电子邮件经过验证
