Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Sensors Engineering & Materials Science
Industry Engineering & Materials Science
Monitoring Engineering & Materials Science
Communication Engineering & Materials Science
synthetic aperture radar Earth & Environmental Sciences
Automation Engineering & Materials Science
Semantics Engineering & Materials Science
Mobile phones Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Teemu Ahmaniemi

Teemu Ahmaniemi

Person: Senior Principal Scientists, Principal Scientists

No photo of Jari Ahola

Jari Ahola

Person: Research Team Leaders

20022017
No photo of Tommi Aihkisalo

Tommi Aihkisalo

Person: Senior Scientists

20022018

Projects 2013 2020

Research Output 1980 2019

A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury

Umer, A., Mattila, J., Liedes, H., Koikkalainen, J., Lotjonen, J., Katila, A., Frantzen, J., Newcombe, V., Tenovuo, O., Menon, D. & Van Gils, M., 1 May 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 3, p. 1261-1268 8 p., 8370619.

Research output: Contribution to journalArticleScientificpeer-review

Decision support systems
Brain
Planning
Software Design
Validation Studies
8 Downloads (Pure)

Analysis of large sparse graphs using regular decomposition of graph distance matrices

Reittu, H., Leskelä, L., Fiorucci, M. & Räty, T., 22 Jan 2019, Proceedings 2018 IEEE International Conference on Big Data, Big Data 2018. Institute of Electrical and Electronic Engineers IEEE, p. 3784-3792 9 p. 8622118. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Open Access
File
Decomposition
Structural properties
Statistical methods

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Gill, E. & Molinier, M., 2019, In : ISPRS Journal of Photogrammetry and Remote Sensing. 151, p. 223-236 14 p.

Research output: Contribution to journalArticleScientificpeer-review

radar imagery
semantics
ecosystems
synthetic aperture radar
Synthetic aperture radar

Prizes

IEEE EMBS Best Reviewers Award 2014

Juha Pärkkä (Recipient), Aug 2014

Prize: Honorary award

Medicine
Information technology
Health

Silver Medal of Honour

Caj Södergård (Recipient), 2011

Prize: Honorary award

silver

Activities 1997 2019

Manufacturing Performance Days

Johannes Peltola (Participant)
4 Jun 20196 Jun 2019

Activity: Participating in or organising an event typesParticipating in a conference, workshop, ...

Tyypin 2 diabeteksen ennaltaehkäisy digitaalisin keinoin

Marja Harjumaa (Speaker)
13 Mar 2019

Activity: Talk or presentation typesOral presentation

File

Big Data ja tekoäly tehostavat bioraaka-aineiden keruuta

Caj Södergård (Speaker)
8 Feb 2019

Activity: Talk or presentation typesInvited talk

File

Press / Media

Tulevaisuuden nimi on AI

Caj Södergård

6/11/18

1 media contribution

Press/Media: Press / Media

Impacts

Near Field Communication - wireless charging standardization

Tuomo Tuikka (Participant), Esko Strömmer (Participant), Marko Jurvansuu (Participant), Arto Ylisaukko-oja (Participant)

Impact: Excellence in Science and Innovation

Review of impact of work

Caj Södergård (Participant)

Impact: Other impacts