Evaluation metrics and statistical tests for machine learning by Oona Rainio, Jarmo Teuho, Riku Klén

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Are Quantitative Errors Reduced with Time-of-Flight Reconstruction When Using Imperfect MR-Based Attenuation Maps for ¹⁸F-FDG PET/MR Neuroimaging? by Jani Lindén, Jarmo Teuho, Riku Klén, Mika Teräs

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Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging by Jani Lindén, Jarmo Teuho, Mika Teräs, Riku Klén

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Classification of head and neck cancer from PET images using convolutional neural networks by Henri Hellström, Joonas Liedes, Oona Rainio, Simona Malaspina, Jukka Kemppainen, Riku Klén

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Assessment of MRI-Based Attenuation Correction for MRI-Only Radiotherapy Treatment Planning of the Brain by Iiro Ranta, Jarmo Teuho, Jani Linden, Riku Klén, Mika Teräs, Mika Kapanen, Jani Keyriläinen

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Classification of ischemia from myocardial polar maps in 15O–H2O cardiac perfusion imaging using a convolutional neural network by Jarmo Teuho, Jussi Schultz, Riku Klén, Juhani Knuuti, Antti Saraste, Naoaki Ono, Shigehiko Kanaya

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Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks by Joaquin Rives Gambin, Mojtaba Jafari Tadi, Jarmo Teuho, Riku Klen, Juhani Knuuti, Juho Koskinen, Antti Saraste, Eero Lehtonen

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L1TD1 - a prognostic marker for colon cancer by Deepankar Chakroborty, Maheswara Reddy Emani, Riku Klén, Camilla Böckelman, Jaana Hagström, Caj Haglund, Ari Ristimäki, Riitta Lahesmaa, Laura L. Elo

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A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography by Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Mojtaba Jafari Tadi, Riku Klén, Reetta Siekkinen, Joaquin Rives Gambin, Tuija Vasankari, Antti Saraste

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A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating by Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén

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Magnetic Resonance-Based Attenuation Correction and Scatter Correction in Neurological Positron Emission Tomography/Magnetic Resonance Imaging—Current Status With Emerging Applicat... by Jarmo Teuho, Jarmo Teuho, Jarmo Teuho, Angel Torrado-Carvajal, Angel Torrado-Carvajal, Hans Herzog, Udunna Anazodo, Riku Klén, Hidehiro Iida, Hidehiro Iida, Hidehiro Iida, Mika Teräs, Mika Teräs

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

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Risk factors for revision due to prosthetic joint infection following total knee arthroplasty based on 62,087 knees in the Finnish Arthroplasty Register from 2014 to 2020 by Hannes Keemu, Kasperi J Alakylä, Riku Klén, Valtteri J Panula, Mikko S Venäläinen, Jaason J Haapakoski, Antti P Eskelinen, Konsta Pamilo, Jukka S Kettunen, Ari-Pekka Puhto, Anna I Vasara, Laura L Elo, Keijo T Mäkelä

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Development and validation of COEWS (COVID-19 Early Warning Score) for hospitalized COVID-19 with laboratory features: A multicontinental retrospective study by Riku Klén, Ivan A Huespe, Felipe Aníbal Gregalio, Antonio Lalueza Lalueza Blanco, Miguel Pedrera Jimenez, Noelia Garcia Barrio, Pascual Ruben Valdez, Matias A Mirofsky, Bruno Boietti, Ricardo Gómez-Huelgas, José Manuel Casas-Rojo, Juan Miguel Antón-Santos, Javier Alberto Pollan, David Gómez-Varela

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Preoperative Risk Prediction Models for Short-Term Revision and Death After Total Hip Arthroplasty by Mikko S. Venäläinen, PhD, Valtteri J. Panula, BM, Riku Klén, PhD, Jaason J. Haapakoski, Antti P. Eskelinen, MD, PhD, Mikko J. Manninen, MD, PhD, Jukka S. Kettunen, MD, PhD, Ari-Pekka Puhto, MD, PhD, Anna I. Vasara, MD, PhD, Keijo T. Mäkelä, MD, PhD, Laura L. Elo, PhD

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Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study by Riku Klén, Disha Purohit, Ricardo Gómez-Huelgas, José Manuel Casas-Rojo, Juan Miguel Antón-Santos, Jesús Millán Núñez-Cortés, Carlos Lumbreras, José Manuel Ramos-Rincón, Noelia García Barrio, Miguel Pedrera-Jiménez, Antonio Lalueza Blanco, María Dolores Martin-Escalante, Francisco Rivas-Ruiz, Maria Ángeles Onieva-García, Pablo Young, Juan Ignacio Ramirez, Estela Edith Titto Omonte, Rosmery Gross Artega, Magdy Teresa Canales Beltrán, Pascual Ruben Valdez, Florencia Pugliese, Rosa Castagna, Ivan A Huespe, Bruno Boietti, Javier A Pollan, Nico Funke, Benjamin Leiding, David Gómez-Varela

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Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge by Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Ármin Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E. Ray Dorsey, Zafer Aydın, 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, the Parkinson’s Disease Digital Biomarker Challenge Consortium, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

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