Projects per year
Personal profile
Research interests
I am interested in (medical) image data processing and large scale computing. I have also system administration and design expertice with linux virtualisation technologies like KVM.
Expertise area
I have a Ph.D. degree from Biomedical Signal Processing within fMRI data analysis. My Master’s degree was from the field of Signal Processing with minors in Communication Techologies and Industrial Management.
Beside research, I am also experienced in teaching within multimedia and image processing topics. As an academic hobby, I am also one of the main developers of open source fMRI data analysis tool ISCtoolbox.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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BRIDGE: Breakthrough Regulatory Innovation and Development throuGh sandbox Environments
Lähteenmäki, J. (Manager), Hilvo, M. (Owner), Pajula, J. (Participant), Liedes, H. (Participant), Ruotsalainen, I. (Participant), Naumanen, M. (Participant) & Hajikhani, A. (Participant)
1/11/25 → 31/10/28
Project: EU project
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PHASE IV AI: Privacy compliant health data as a service for AI development
Pajula, J. (Manager), Asuroglu, T. (Participant), Pölönen, H. (Participant), Degerli Ahishali, A. (Participant), Lähteenmäki, J. (Participant), Merilinna, J. (Participant) & El Mekkaoui, K. (Participant)
1/10/23 → 30/09/26
Project: EU project
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KOSKE: Korkeakoulutettujen maahanmuuttajien osaamiskeskuksen asiakassegmenttien tunnistaminen ja niiden välinen palveluiden vaikutusten vertailu
Naumanen, M. (Manager), Ylén, P. (Participant) & Pajula, J. (Participant)
1/08/24 → 31/12/25
Project: Research
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Secur-e-Health
Väänänen, A. (Manager), Pajula, J. (Participant), Lähteenmäki, J. (Participant), El Mekkaoui, K. (Participant), Sharma, G. (Participant), Sourkatti, H. (Participant), Hilvo, M. (Participant), Vallivaara, V. (Participant), Karinsalo, A. (Participant), Rautell, M. (Participant) & Illikainen, A. (Participant)
1/01/23 → 31/12/25
Project: Business Finland project
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MAITE: Monialaisen palvelutarpeen ennakointi tekoälyn avulla
Lähteenmäki, J. (Manager), Sourkatti, H. (Participant) & Pajula, J. (Participant)
11/01/21 → 30/11/23
Project: Finnish government project
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Data-driven precision medicine ecosystem - stakeholder needs and opportunities
Lähteenmäki, J., Ervasti, M., Fagerström, R., van Gils, M., Pajula, J., Ruutu, S., Sigfrids, A., Valovirta, V. & Ylén, P., 29 Aug 2018, VTT Technical Research Centre of Finland. 74 p. (VTT Research Report; No. VTT-R-03318-18).Research output: Book/Report › Report
Open AccessFile1094 Downloads (Pure) -
Platform for systems medicine research and diagnostic applications in psychotic disorders-The METSY project
Frank, E., Maier, D., Pajula, J., Suvitaival, T., Borgan, F., Butz-Ostendorf, M., Fischer, A., Hietala, J., Howes, O., Hyötyläinen, T., Janssen, J., Laurikainen, H., Moreno, C., Suvisaari, J., van Gils, M. & Orešič, M., 1 Apr 2018, In: European Psychiatry. 50, p. 40-46Research output: Contribution to journal › Review Article › peer-review
16 Link opens in a new tab Citations (Scopus) -
Functional brain segmentation using inter-subject correlation in fMRI
Kauppi, J.-P., Pajula, J., Niemi, J., Hari, R. & Tohka, J., 1 May 2017, In: Human Brain Mapping. 38, 5, p. 2643-2665 23 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access17 Link opens in a new tab Citations (Scopus) -
A versatile software package for inter-subject correlation based analyses of fMRI
Kauppi, J. P., Pajula, J. & Tohka, J., 31 Jan 2014, In: Frontiers in Neuroinformatics. 8, JAN, 2.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access60 Link opens in a new tab Citations (Scopus) -
Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning
Degerli, A., Hilvo, M., Pajula, J., Huhtinen, P. & Jäkälä, P., 2026, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 34, p. 1107-1118Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Downloads (Pure)