Valtteri Nieminen
valtteri.a.nieminen@utu.fi Office: 452B ORCID identifier: https://orcid.org/0000-0002-3550-0561 |
Areas of expertise
Machine Learning; Data Analysis; Life Sciences; Education; Medical Informatics
Machine Learning; Data Analysis; Life Sciences; Education; Medical Informatics
Research community or research topic
Currently I am working on the data-privacy related PRIVASA project and the HCT 2.0 project.
Currently I am working on the data-privacy related PRIVASA project and the HCT 2.0 project.
Biography
Research
My research focus is on data privacy-preserving learning techniques in life sciences, machine learning methods and federated learning techniques. Additionally I work with data harmonization and federation in medicine, such as the OMOP Common data model.
Teaching
Data analytics courses teaching assistant.
Publications
- 2318P FALCON: A novel high-quality cancer network for RWE (2025)
- Annals of Oncology
(Other publication) - FinOMOP Swarm Learning – Distributed Deep Learning for Patient-Specific
Predictive Modelling of Acute Myeloid Leukemia (2025) Eric Fey, Valtteri Nieminen, Salma Rachidi, Hartmut Schultze, Vytis Vadoklis, Perre Gustafsson, Johansson Markus, Kauko Tommi, Anna Hammais, Kukkurainen Sampo, Niemelä Sami, Tuomas Hakala, Alexey Ryzhenkov, Tomi Mäkelä, Oscar Brück, Joachim Schultze, Tarja Laitinen, Arho Virkki, Kimmo Porkka
(Other publication) - Large-Scale Network Study on the Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCAN mNSCLC Study-a-Thon (2025) Valtteri Nieminen; Annelies Verbiest; Alexey Ryzhenkov; Stelios Theophanous; Geoff Hall; Thejas Bharadwaj; Jasmin Carus; Vagelis Chandakas; Eleanor Cheese; Wei Hai Deng; Dmytro Dymshyts; Espen Enerly; Otto Ettala; Michael Franz; Katja Hoffmann; Mikael Högerman; Annelies Janssens; Tommi Kauko; Martin Koch; Sampo Kukkurainen; Harri Rantala; Carlos López Gómez; Álvaro Martínez Pérez; John Methot; Agnes Moesgaard Eschen; Henry Morgan; María Eugenia Gas López; Parisa Movahedi; Tomi Mäkelä; Ghazaleh Niknam; Laura Perez; Christian Reich; Tom Stone; Ping Sun; Pia Tajanen-Doumbouya; Zarah Van Schoor; Åsa Öjlert; Ilkka Ilonen; Paula Kauppi; Elad Sharon; Daniel Smith; Georgina Kennedy; Åslaug Helland; Eric Fey; Asieh Golozar; Aija Knuuttila; Kimmo Porkka
(Other publication) - P1.17.67 A Large-Scale Network Study on Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCan mNSCLC Study-A-Thon (2025)
- Journal of Thoracic Oncology
(Other publication) - Response to Commentary by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)
- Methods of Information in Medicine
(B1 Non-refereed article in a scientific journal) - Adopting the OMOP Oncology CDM at the Helsinki University Hospital (2024) Valtteri Nieminen, Alexey Ryzhenkov, Johanna Sanoja, Salma Rachidi, Juho Lähteenmaa, Joonas Laitinen, Samu
Eränen, Johanna Niklander, Anna Kuosmanen, Oscar Brück, Pasi Rikala, Anna Virtanen, Marianna Niemi, Tomi
Mäkelä, Eric Fey, Kimmo Porkka
(Poster) - Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Deep Learning Models for Predicting Overall Survival of Acute Myeloid Leukemia Using Short-Term Longitudinal Blood Measurements and the Omop Common Data Model (2024)
- Blood
(Abstract) - Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)
- Methods of Information in Medicine
(A1 Refereed original research article in a scientific journal) - Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)
- Applied Computing and Intelligence
(A1 Refereed original research article in a scientific journal) - Relationships between self-efficacy and learning approaches as perceived by computer science students (2024)
- Frontiers in Education
(A1 Refereed original research article in a scientific journal) - Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
- Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
(A4 Refereed article in a conference publication ) - Aging and sleep deprivation affect different neurocognitive stages of spatial information processing during a virtual driving task – An ERP study (2022)
- Transportation Research Part F: Traffic Psychology and Behaviour
(A1 Refereed original research article in a scientific journal) - Differential interactions of age and sleep deprivation in driving and spatial perception by male drivers in a virtual reality environment (2021)
- Scandinavian Journal of Psychology
(A1 Refereed original research article in a scientific journal) - ProMot-menetelmä opiskelumotivaatiotaidon kehittämiseksi (2020) OHO-opas - opiskelukykyä, hyvinvointia ja osallisuutta korkeakouluihin Ari Kaukiainen, Tiina Tuominen, Satu Laitinen, Janne Rantasaari, Valtteri Nieminen
(D2 Article in a professional compilation book)
UTU Research Portal