Research output per year
Research output 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 Devlopment 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):
Fingerprint
Dive into the research topics where Juha Pajula is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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 AccessFile293 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. 40-46 7 p.Research output: Contribution to journal › Review Article › Scientific › peer-review
8 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. 2643-2665Research output: Contribution to journal › Article › Scientific › peer-review
Open Access11 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 Access44 Citations (Scopus) -
Data-driven precision medicine ecosystem - PreMed phase 3 report
Lähteenmäki, J. (ed.), Fagerström, R., Liedes, H., Pajula, J., De Pretis, F., Vuorinen, A-L. & Ylén, P., 19 May 2021, VTT Technical Research Centre of Finland. 14 p. (VTT Research Report; No. VTT-R-00406-21).Research output: Book/Report › Report
Open AccessFile32 Downloads (Pure)