VTT Technical Research Centre of Finland

Research / Science organisation


Location: Espoo, Finland (FI) FI

ISNI: 0000000404001852

ROR: https://ror.org/04b181w54

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

The impact of crosstalk in the X-IFU instrument on Athena science cases (2016) Den Hartog R, Peille P, Dauser T, Jackson B, Bandler S, Barret D, Brand T, et al. Conference contribution, Conference Contribution Robust whole-brain segmentation: Application to traumatic brain injury (2015) Ledig C, Heckemann RA, Hammers A, Lopez JC, Newcombe VFJ, Makropoulos A, Loetjoenen J, et al. Journal article Round-Robin Studies on Roll-Processed ITO-free Organic Tandem Solar Cells Combined with Inter-Laboratory Stability Studies (2015) Livi F, Sondergaard RR, Andersen TR, Roth B, Gevorgyan S, Dam HF, Carle JE, et al. Journal article, Original article Scalable, ambient atmosphere roll-to-roll manufacture of encapsulated large area, flexible organic tandem solar cell modules (2014) Andersen TR, Dam HF, Hosel M, Helgesen M, Carle JE, Larsen-Olsen TT, Gevorgyan SA, et al. Journal article, Original article Cost analysis of roll-to-roll fabricated ITO free single and tandem organic solar modules based on data from manufacture (2014) Machui F, Hosel M, Li N, Spyropoulos G, Ameri T, Sondergaard RR, Jorgensen M, et al. Journal article, Original article Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury (2014) Ledig C, Shi W, Makropoulos A, Koikkalainen J, Heckemann RA, Hammers A, Lötjönen J, et al. Conference contribution Extended boundary shift integral (2014) Lötjönen J, Ledig C, Koikkalainen J, Wolz R, Thurfjell L, Soininen H, Ourselin S, Rueckert D Conference contribution Automatic quantification of CT images for traumatic brain injury (2014) Koikkalainen J, Lötjönen J, Ledig C, Rueckert D, Tenovuo O, Menon D Conference contribution The PredictAD project: Development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease (2013) Antila K, Lotjonen J, Thurfjell L, Laine J, Massimini M, Rueckert D, Zubarev RA, et al. Journal article
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