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ORCIDKari Antila
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2020 – today
- 2021
[b1]Kari Antila:
Volumetric Image Segmentation for Planning of Therapies: Application to dental implants and muscle tumors. University of Tampere, Finland, 2021
2010 – 2019
- 2019
- [i1]Kari Antila, Niku Oksala, Jussi A. Hernesniemi:
High Quality Phenotypic Data and Machine Learning Beat a Generic Risk Score in the Prediction of Mortality in Acute Coronary Syndrome. ERCIM News 2019(118) (2019)
2000 – 2009
- 2009
- [j2]Juha Pärkkä
, Juho Merilahti, Elina M. Mattila, Esko Malm, Kari Antila, Martti T. Tuomisto, Ari Viljam Saarinen, Mark J. van Gils, Ilkka Korhonen:
Relationship of Psychological and Physiological Variables in Long-Term Self-Monitored Data During Work Ability Rehabilitation Program. IEEE Trans. Inf. Technol. Biomed. 13(2): 141-151 (2009) - 2008
- [j1]Juha Koikkalainen, Tuomas Tölli, Kirsi Lauerma, Kari Antila, Elina M. Mattila, Mikko Lilja, Jyrki Lötjönen:
Methods of Artificial Enlargement of the Training Set for Statistical Shape Models. IEEE Trans. Medical Imaging 27(11): 1643-1654 (2008) - 2007
- [c3]Mikko Lilja, Ville Vuorio, Kari Antila, Henri Setälä, Jorma Järnstedt, Mika Pollari:
Automatic Segmentation of the Mandible from Limited-Angle Dental X-Ray Tomography Reconstructions. ISBI 2007: 964-967 - 2006
- [c2]Kari Antila, Mikko Lilja, Martti Kalke, Jyrki Lötjönen:
Model-Based Segmentation of Reconstructed Dental X-Ray Volumes. ICIP 2006: 1933-1936 - 2005
- [c1]Jyrki Lötjönen, Kari Antila, E. Lamminmäki, Juha Koikkalainen, Mikko Lilja, Timothy F. Cootes:
Artificial Enlargement of a Training Set for Statistical Shape Models: Application to Cardiac Images. FIMH 2005: 92-101
Coauthor Index
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