Explore the words cloud of the TRABIT project. It provides you a very rough idea of what is the project "TRABIT" about.
The following table provides information about the project.
Coordinator |
DANMARKS TEKNISKE UNIVERSITET
Organization address contact info |
Coordinator Country | Denmark [DK] |
Total cost | 3˙938˙655 € |
EC max contribution | 3˙938˙655 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2017 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2017 |
Duration (year-month-day) | from 2017-10-01 to 2021-09-30 |
Take a look of project's partnership.
'Brain diseases account for one third of the overall disease burden in Europe, and their already significant cost to society is expected to further escalate as a result of the aging European population. In recent decades, medical imaging techniques such as computed tomography, ultrasound, and especially magnetic resonance imaging have gained a central role in the clinical management of disorders of the brain. A fundamental bottleneck in translating the wealth of information contained in medical images into optimized patient care is the lack of computational tools to reliably and accurately analyze the available images. Combined with the sheer volume of data acquired on a daily basis, the current dearth of computational tools means that most of the relevant information contained in today's clinical brain scans simply remains unused.
In an interdisciplinary and intersectoral joint effort of computational scientists, clinicians, and the industry in the field of neuroimaging, the 'Translational Brain Imaging Training Network' (TRABIT) aims to provide a new generation of innovative and entrepreneurial early-stage researchers (ESRs) to bring quantitative image computing methods into the clinic, enabling improved healthcare delivery to patients with brain disease. The proposed network brings together internationally leading groups in biomedical image computing; some of Europe's most renowned research hospitals; and important players from the medical imaging industry. Through this network, each of TRABIT's ESRs will have access to the most relevant experts from industry, academia, and hospitals, as well as large collections of clinical neuroimaging data, facilitating the evaluation of the true clinical relevance and impact of the investigated computational methods. A commonly adopted rapid-prototyping software environment will facilitate testing, demonstrating the developed tools in hospital environments, and disseminating the obtained models and methods. '
Transferable skills courses 3-4 | Other | 2019-10-10 12:56:28 |
Transferable skills courses 1-2 | Other | 2019-10-10 12:56:11 |
Scientific courses 5-8 | Other | 2019-10-10 12:56:09 |
Scientific courses 1-4 | Other | 2019-10-10 12:56:05 |
Project website | Websites, patent fillings, videos etc. | 2019-06-14 14:16:31 |
Take a look to the deliverables list in detail: detailed list of TRABIT deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Luca Canalini, Jan Klein, Dorothea Miller, Ron Kikinis Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery published pages: 1697-1713, ISSN: 1861-6410, DOI: 10.1007/s11548-019-02045-6 |
International Journal of Computer Assisted Radiology and Surgery 14/10 | 2019-11-25 |
2019 |
Luca Canalini, Jan Klein, Dorothea Miller, Ron Kikinis Registration of ultrasound volumes based Euclidean distance transform published pages: , ISSN: , DOI: |
Proceedings of LABELS and HAL-MICCAI workshops | 2019-11-25 |
2019 |
Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning published pages: 220-237, ISSN: 1361-8415, DOI: 10.1016/j.media.2019.03.005 |
Medical Image Analysis 54 | 2019-11-25 |
2019 |
Maria Ines Meyer, Ezequiel de la Rosa, Greg Dudra, Eline Van
Vlierberghe, Koen Van Leemput, Diana M. Sima Harmonization of Brain Volumes from Magnetic Resonance Images ofMultiple Sclerosis Patients Using Image Descriptors published pages: Pp 51, ISSN: , DOI: |
International Journal of MS case Vol 21 | 2019-11-22 |
2019 |
Johannes Paetzold, Suprosanna Shit, Ivan Ezhov, Giles Tetteh, Ali Ertuerk, Bjoern Menze clDice - a Novel Connectivity-Preserving Loss Function for Vessel Segmentation published pages: , ISSN: , DOI: |
2019-11-22 | |
2019 |
Suprosanna Shit, Abinav Ravi Venkatakrishnan, Ivan Ezhov, Jana Lipkova, Marie Piraud, Bjoern Menze Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee published pages: , ISSN: , DOI: |
Only for book chapters | 2019-11-22 |
2019 |
A. Zhylka, A. Leemans, J. Pluim, A. De Luca ESMRMB 2019, 36th Annual Scientific Meeting, Rotterdam, NL, October 3–October 5: Abstracts, Thursday published pages: 1-105, ISSN: 0968-5243, DOI: 10.1007/s10334-019-00753-3 |
Magnetic Resonance Materials in Physics, Biology and Medicine 32/S1 | 2019-11-22 |
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The information about "TRABIT" are provided by the European Opendata Portal: CORDIS opendata.