Research output per year
Research output per year
Personal profile
Biography
Yulia Shcherbakova graduated in Medical Physics from Moscow Engineering Physics Institute, the faculty of experimental and theoretical physics, in 2008.
From 2010 to 2014 she worked in General Electric Healthcare (covering Russia and CIS) as Application Specialist in MRI.
In April 2014 she started as a PhD candidate at the University Medical Center Utrecht in the project “Image Guided Cancer Therapy: Real-Time Target Tracking in MRI-guided HIFU and MRI-guided RadioTherapy”. She was working on MRI acquisition methods for accurate 3D tumor visualization, and on the optimization of methods for quantitative MRI.
In December 2019 she received her PhD at Utrecht University after defending her thesis “PLANET: a new approach for quantitative MRI”.
From December 2021 she has been working as a postdoc at the Image Science Institute (ISI) in the project “Scolistorm”. Her research focuses on the development and the optimization of Adolescent Idiopathic Scoliosis (AIS) – specific MR protocol.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A multipurpose, adolescent idiopathic scoliosis-specific, short MRI protocol: A feasibility study in volunteers
Shcherbakova, Y. M., Lafranca, P. P. G., Foppen, W., van der Velden, T. A., Nievelstein, R. A. J., Castelein, R. M., Ito, K., Seevinck, P. R. & Schlosser, T. P. C., Aug 2024, In: European Journal of Radiology. 177, 7 p., 111542.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Automatic generation of subject-specific finite element models of the spine from magnetic resonance images
Kok, J., Shcherbakova, Y. M., Schlösser, T. P. C., Seevinck, P. R., van der Velden, T. A., Castelein, R. M., Ito, K. & van Rietbergen, B., 5 Sept 2023, In: Frontiers in bioengineering and biotechnology. 11, 1244291.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
Transceive phase mapping using the PLANET method and its application for conductivity mapping in the brain
Gavazzi, S., Shcherbakova, Y., Bartels, L. W., Stalpers, L. J. A., Lagendijk, J. J. W., Crezee, H., van den Berg, C. A. T. & van Lier, A. L. H. M. W., Feb 2020, In: Magnetic Resonance in Medicine. 83, 2, p. 590-607 18 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Investigation of the influence of B0 drift on the performance of the PLANET method and an algorithm for drift correction
Shcherbakova, Y., van den Berg, C. A. T., Moonen, C. T. W. & Bartels, L. W., Nov 2019, In: Magnetic Resonance in Medicine. 82, 5, p. 1725-1740 16 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
On the accuracy and precision of PLANET for multiparametric MRI using phase-cycled bSSFP imaging
Shcherbakova, Y., van den Berg, C. A. T., Moonen, C. T. W. & Bartels, L. W., 1 Mar 2019, In: Magnetic Resonance in Medicine. 81, 3, p. 1534-1552 19 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure)