Riku Klén

According to our database, Riku Klén authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

New 3D segmentation algorithm for modeling of kidney in positron emission tomography images.

Oona Rainio, Aino Latva-Rasku, Jussi Hirvonen, Juhani Knuuti, Riku Klén

Netw. Model. Anal. Health Informatics Bioinform., December, 2025

Investigation of total-body applicable compartment models for kinetic modeling in total body ¹⁵O-water perfusion PET imaging.

Oona Rainio, Juhani Knuuti, Riku Klén

Netw. Model. Anal. Health Informatics Bioinform., December, 2025

Convolutional neural networks for tumor segmentation by cancer type and imaging modality: a systematic review.

Oona Rainio, Riku Klén

Netw. Model. Anal. Health Informatics Bioinform., December, 2025

Emotion Recognition with Minimal Wearable Sensing: Multi-domain Feature, Hybrid Feature Selection, and Personalized vs. Generalized Ensemble Model Analysis.

Muhammad Irfan, Anum Nawaz, Ayse Kosal Bulbul, Riku Klén, Abdulhamit Subasi, Tomi Westerlund, Wei Chen

CoRR, October, 2025

Comparison of thresholds for a convolutional neural network classifying medical images.

Oona Rainio, Jonne Tamminen, Mikko S. Venäläinen, Joonas Liedes, Juhani Knuuti, Jukka Kemppainen, Riku Klén

Int. J. Data Sci. Anal., September, 2025

Methods for estimating full width at half maximum.

Oona Rainio, Johanna Hällilä, Jarmo Teuho, Riku Klén

Signal Image Video Process., April, 2025

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis.

Oona Rainio, Maria K. Jaakkola, Riku Klén

CoRR, February, 2025

Smart IoT-Based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multiview Fusion, and Rotational Ensemble Stacking.

Muhammad Irfan, Laishuan Wang, Yan Xu, Abdulhamit Subasi, Chen Chen, Riku Klén, Tomi Westerlund, Wei Chen

IEEE Internet Things J., 2025

Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning.

Muhammad Irfan, Anum Nawaz, Riku Klén, Abdulhamit Subasi, Tomi Westerlund, Wei Chen

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients.

Oona Rainio, Joonas Liedes, Sarita Murtojärvi, Simona Malaspina, Jukka Kemppainen, Riku Klén

Netw. Model. Anal. Health Informatics Bioinform., December, 2024

Comparison of simple augmentation transformations for a convolutional neural network classifying medical images.

Oona Rainio, Riku Klén

Signal Image Video Process., June, 2024

AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers - A narrative review of a growing field.

Thorsten Rudroff, Oona Rainio, Riku Klén

CoRR, 2024

2023

Image augmentation with conformal mappings for a convolutional neural network.

Oona Rainio, Mohamed M. S. Nasser, Matti Vuorinen, Riku Klén

Comput. Appl. Math., December, 2023

Carimas: An Extensive Medical Imaging Data Processing Tool for Research.

Oona Rainio, Chunlei Han, Jarmo Teuho, Sergey V. Nesterov, Vesa Oikonen, Sauli Piirola, Timo Laitinen, Marko Tättäläinen, Juhani Knuuti, Riku Klén

J. Digit. Imaging, August, 2023

Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering.

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

Int. J. Biomed. Imaging, 2023

2022

Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging.

Jani Lindén, Jarmo Teuho, Mika Teräs, Riku Klén

BMC Medical Imaging, 2022

2021

A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography.

Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Mojtaba Jafari Tadi, Riku Klén, Reetta Siekkinen, Joaquin Rives Gambin, Tuija Vasankari, Antti Saraste

Sensors, 2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

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

npj Digit. Medicine, 2021

Stable Iterative Variable Selection.

Mehrad Mahmoudian, Mikko S. Venäläinen, Riku Klén, Laura L. Elo

Bioinform., 2021

Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks.

Joaquin Rives Gambin, Mojtaba Jafari Tadi, Jarmo Teuho, Riku Klén, Juhani Knuuti, Juho Koskinen, Antti Saraste, Eero Lehtonen

IEEE Access, 2021

2019

A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating.

Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén

Sensors, 2019