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2020 – today
- 2025
[j11]Oona Rainio
, Jonne Tamminen, Mikko S. Venäläinen, Joonas Liedes, Juhani Knuuti, Jukka Kemppainen, Riku Klén:
Comparison of thresholds for a convolutional neural network classifying medical images. Int. J. Data Sci. Anal. 20(3): 2093-2099 (2025)- [j10]Oona Rainio, Juhani Knuuti, Riku Klén:
Investigation of total-body applicable compartment models for kinetic modeling in total body 15O-water perfusion PET imaging. Netw. Model. Anal. Health Informatics Bioinform. 14(1): 22 (2025) - [j9]Oona Rainio, Aino Latva-Rasku, Jussi Hirvonen, Juhani Knuuti, Riku Klén:
New 3D segmentation algorithm for modeling of kidney in positron emission tomography images. Netw. Model. Anal. Health Informatics Bioinform. 14(1): 38 (2025) - [j8]Oona Rainio, Riku Klén:
Convolutional neural networks for tumor segmentation by cancer type and imaging modality: a systematic review. Netw. Model. Anal. Health Informatics Bioinform. 14(1): 58 (2025) - [j7]Oona Rainio, Johanna Hällilä, Jarmo Teuho, Riku Klén:
Methods for estimating full width at half maximum. Signal Image Video Process. 19(4): 289 (2025) - [i5]Oona Rainio, Maria K. Jaakkola, Riku Klén:
Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis. CoRR abs/2502.07511 (2025) - 2024
- [j6]Oona Rainio, Joonas Liedes, Sarita Murtojärvi, Simona Malaspina, Jukka Kemppainen, Riku Klén:
One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 47 (2024) - [j5]Oona Rainio, Riku Klén:
Comparison of simple augmentation transformations for a convolutional neural network classifying medical images. Signal Image Video Process. 18(4): 3353-3360 (2024) - [i4]Thorsten Rudroff, Oona Rainio, Riku Klén:
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers - A narrative review of a growing field. CoRR abs/2406.17822 (2024) - 2023
- [j4]Oona Rainio, Mohamed M. S. Nasser, Matti Vuorinen, Riku Klén:
Image augmentation with conformal mappings for a convolutional neural network. Comput. Appl. Math. 42(8): 361 (2023) - [j3]Oona Rainio, Chunlei Han, Jarmo Teuho, Sergey V. Nesterov, Vesa Oikonen, Sauli Piirola, Timo Laitinen, Marko Tättäläinen, Juhani Knuuti, Riku Klén:
Carimas: An Extensive Medical Imaging Data Processing Tool for Research. J. Digit. Imaging 36(4): 1885-1893 (2023) - 2022
- [j2]Mohamed M. S. Nasser, Oona Rainio, Antti Rasila, Matti Vuorinen, Terry Wallace, Hang Yu, Xiaohui Zhang:
Polycircular domains, numerical conformal mappings, and moduli of quadrilaterals. Adv. Comput. Math. 48(5): 58 (2022) - [j1]Mohamed M. S. Nasser, Oona Rainio, Matti Vuorinen:
Condenser capacity and hyperbolic perimeter. Comput. Math. Appl. 105: 54-74 (2022) - [i3]Oona Rainio, Mohamed M. S. Nasser, Matti Vuorinen, Riku Klén:
Image augmentation with conformal mappings for a convolutional neural network. CoRR abs/2212.05258 (2022) - 2021
- [i2]Mohamed M. S. Nasser, Oona Rainio, Matti Vuorinen:
Condenser capacity and hyperbolic perimeter. CoRR abs/2103.10237 (2021) - [i1]Mohamed M. S. Nasser, Oona Rainio, Antti Rasila, Matti Vuorinen, Terry Wallace, Hang Yu, Xiaohui Zhang:
Circular arc polygons, numerical conformal mappings, and moduli of quadrilaterals. CoRR abs/2107.11485 (2021)
Coauthor Index
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