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(Field of Science):
- biomedical engineering (Engineering and Technology)
- medical biology (Medical and Health Sciences )
- pharmacology and pharmacy (Medical and Health Sciences )
- medical sciences (Medical and Health Sciences )
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- health sciences (Medical and Health Sciences )
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(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
2018 | 30 | A |
2017 | 30 | A |
2016 | 25 | A |
2015 | 30 | A |
2014 | 25 | A |
2013 | 20 | A |
2012 | 15 | A |
2011 | 15 | A |
2010 | 13 | A |
Model:
Points CiteScore:
Year | Points |
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Year 2023 | 6.8 |
Year | Points |
---|---|
2023 | 6.8 |
2022 | 5.6 |
2021 | 4.6 |
2020 | 4.2 |
2019 | 4.1 |
2018 | 3.9 |
2017 | 3.1 |
2016 | 2.9 |
2015 | 2.9 |
2014 | 2.4 |
2013 | 2 |
2012 | 2 |
2011 | 2.6 |
Impact Factor:
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Papers published in journal
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total: 2
Catalog Journals
Year 2022
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Corrigendum to “T1 relaxation time callibration in magnetic resonance imaging using nanodiamond phantoms” [Phys Med 94 (2022) S119–S120/EPV029]
PublicationThe authors want to update the incorrect funding information. The correct funding note is: “The authors acknowledge the financial support from Gdańsk University of Technology by the 4/2020/IDUB/III.4.1/Tc grant under the Technetium Talent Management Grants ‘Excellence Initiative – Research University’. The financial support from Gdańsk University of Technology by the 1/2021/IDUB/II.2/Np grant under NEPTUNIUM Enhancing Baltic Region...
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T1 RELAXATION TIME CALLIBRATION IN MAGNETIC RESONANCE IMAGING USING NANODIAMOND PHANTOMS
PublicationMRI is increasingly used in radiation treatment planning because of the excellent soft tissue contrast in the obtained images. It allows more precise definition of the boundaries between healthy tissues and those affected by cancerous lesions. To obtain good image quality, the difference in signal between two types of tissue must be significant despite the noise so it must be properly calibrated. This calibration includes...
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