Ekaterina Brui
Main position
Main position
Postdoc
Email
e.brui@metalab.ifmo.ru
ORCID
ORCID
0000-0001-8726-3214
Scopus Author ID
Scopus id
57200525814
Education
August
2004
-
July
2008
Education institution
Saint-Petersburg State University, Faculty of Physics
Professional area
Radiophysics, Acoustics
Received degree
Bachelor of Science
Thesis
Velocity field computation in a tube with vibrating walls
September
2008
-
March
2011
Education institution
Saint-Petersburg State University, Faculty of Physics
Professional area
NMR, Medical Physics, Imaging, Acoustics
Received degree
Master of Science
Thesis
Slow flow measuring by low-field MRI
September
2011
-
July
2012
Education institution
Lappeenranta University of Technology
Professional area
Technical Physics, NMR
Received degree
Master of Science
Thesis
С13 NMR Investigation of Molecular Mobility of Ion Groups in Some Ionic Liquids
September
2017
-
September
2021
Education institution
ITMO University
Professional area
Radiophysics
Work experience
October
2016
-
present time
Affiliation
ITMO University
Position
PhD Student, Engineer
Professional area
MRI
June
2011
-
August
2011
Affiliation
Saint-Petersburg State Healthcare Institution "Mariinskaya city hospital"
Position
MRI Engineer
Professional area
MRI
Scholarships and grants
2019
Scholarship
Ostrogradski scholarship
2019
Other grant
ISMRM Educational Stipend for students. Annual Meeting ISMRM, 2019, Montreal, Canada
2018
Other grant
Стипендия Правительства РФ
2018
Other grant
ISMRM Educational Stipend for students. Joint Annual Meeting ISMRM-ESMRMB, 16-21 June 2018, Paris, France.
2018
Other grant
Грант КНВШ
2021
Scholarship
Стипендия Президента для аспирантов и молодых ученых
Teaching experience
February
2018
-
Position
Practicum course
Professional area
MRI
Work address
ITMO University
Professional interests
Membership in professional societies
- International Society of Magnetic Resonance in Medicine, Trainee member
Papers
Impact Factor
Scientific Journal Ranking
2023
27.
[DOI:
10.1002/mrm.29987
]
[
IF:
4.668
, SJR:
1.696
]
26.
25.
[DOI:
10.3390/photonics10070757
]
[
IF:
2.536
, SJR:
0.558
]
24.
[DOI:
10.1002/mrm.29671
]
[
IF:
3.737
, SJR:
1.504
]
23.
22.
[DOI:
10.1109/sibircon56155.2022.10017041
]
21.
2022
20.
[DOI:
10.1007/s00723-022-01502-x
]
[
IF:
0.831
, SJR:
0.206
]
19.
[DOI:
10.1016/j.jmr.2022.107209
]
[
IF:
2.734
, SJR:
0.818
]
2021
18.
[DOI:
10.1088/1742-6596/2015/1/012023
]
[
SJR:
0.210
]
17.
[DOI:
10.26102/2310-6018/2021.33.2.012
]
16.
[DOI:
10.1007/s10334-021-00937-w
]
[
IF:
2.310
, SJR:
0.585
]
2020
15.
[DOI:
10.1063/5.0032077
]
[
SJR:
0.190
]
14.
[DOI:
10.1002/nbm.4320
]
[
IF:
4.044
, SJR:
1.278
]
13.
Deep learning-based fully automatic segmentation of wrist cartilage in MR images.
[DOI:
10.1002/nbm.4320
]
[
IF:
4.044
, SJR:
1.278
]
12.
[DOI:
10.1088/1742-6596/1461/1/012019
]
[
SJR:
0.227
]
11.
[DOI:
10.1088/1742-6596/1461/1/012037
]
[
SJR:
0.227
]
2018
10.
[DOI:
10.1109/metamaterials.2018.8534104
]
9.
[DOI:
10.1088/1742-6596/1092/1/012015
]
[
SJR:
0.241
]
8.
[DOI:
10.1134/S0021364018180017
]
[
IF:
1.412
, SJR:
0.500
]
7.
[DOI:
10.1088/1742-6596/1092/1/012180
]
[
SJR:
0.241
]
6.
[DOI:
10.1002/nbm.3952
]
[
IF:
3.414
, SJR:
1.708
]
5.
[DOI:
10.1109/COMCAS.2017.8244854
]
4.
[DOI:
10.1002/mrm.27140
]
[
IF:
3.858
, SJR:
1.985
]
3.
[DOI:
10.1002/pssa.201700788
]
[
IF:
1.795
, SJR:
0.648
]
2017
2.
[DOI:
10.1002/mrc.4681
]
[
IF:
1.776
, SJR:
0.536
]
2016
1.
Nmr-Test Of [Bmim]Bf4-Water Mixtures Under Micelle-Formation Concentration
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