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2020 – today
- 2025
[j17]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)- [j16]Muhammad Irfan, Laishuan Wang, Yan Xu, Abdulhamit Subasi, Chen Chen, Riku Klén, Tomi Westerlund, Wei Chen:
Smart IoT-Based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multiview Fusion, and Rotational Ensemble Stacking. IEEE Internet Things J. 12(22): 46018-46037 (2025) - [j15]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) - [j14]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) - [j13]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) - [j12]Oona Rainio, Johanna Hällilä, Jarmo Teuho, Riku Klén:
Methods for estimating full width at half maximum. Signal Image Video Process. 19(4): 289 (2025) - [c1]Muhammad Irfan, Anum Nawaz, Riku Klén, Abdulhamit Subasi, Tomi Westerlund, Wei Chen:
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning. IJCNN 2025: 1-8 - [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) - [i4]Muhammad Irfan, Anum Nawaz, Riku Klén, Abdulhamit Subasi, Tomi Westerlund, Wei Chen:
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning. CoRR abs/2505.05208 (2025) - [i3]Muhammad Irfan, Anum Nawaz, Ayse Kosal Bulbul, Riku Klén, Abdulhamit Subasi, Tomi Westerlund, Wei Chen:
Emotion Recognition with Minimal Wearable Sensing: Multi-domain Feature, Hybrid Feature Selection, and Personalized vs. Generalized Ensemble Model Analysis. CoRR abs/2510.22498 (2025) - 2024
- [j11]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) - [j10]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) - [i2]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
- [j9]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) - [j8]Maria K. Jaakkola, Maria Rantala, Anna Jalo, Teemu Saari, Jaakko Hentilä, Jatta S. Helin, Tuuli A. Nissinen, Olli Eskola, Johan Rajander, Kirsi A. Virtanen, Jarna C. Hannukainen, Francisco López-Picón, Riku Klén:
Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering. Int. J. Biomed. Imaging 2023: 3819587:1-3819587:13 (2023) - [j7]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
- [j6]Jani Lindén, Jarmo Teuho, Mika Teräs, Riku Klén:
Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging. BMC Medical Imaging 22(1): 48 (2022) - [i1]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
- [j5]Joaquin Rives Gambin, Mojtaba Jafari Tadi, Jarmo Teuho, Riku Klén, Juhani Knuuti, Juho Koskinen, Antti Saraste, Eero Lehtonen:
Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks. IEEE Access 9: 145886-145899 (2021) - [j4]Mehrad Mahmoudian, Mikko S. Venäläinen, Riku Klén, Laura L. Elo:
Stable Iterative Variable Selection. Bioinform. 37(24): 4810-4817 (2021) - [j3]Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [j2]Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Mojtaba Jafari Tadi, Riku Klén, Reetta Siekkinen, Joaquin Rives Gambin, Tuija Vasankari, Antti Saraste:
A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography. Sensors 21(12): 3983 (2021)
2010 – 2019
- 2019
- [j1]Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén:
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating. Sensors 19(19): 4137 (2019)
Coauthor Index
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last updated on 2025-12-09 00:28 CET by the dblp team
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