
Andrew
Krupien
Clinical
Physics Assistant
Department
of Radiation Oncology
University
of California, Los Angeles
Andrew
earned his bachelor's degree in Astrophysics from the University of California,
Los Angeles (UCLA) in 2023. He has worked in the Department of Radiation
Oncology at UCLA Health as a Clinical Physics Assistant (CPA) for over a year
under the supervision of James Lamb, PhD. As a CPA, Andrew has many duties
related to clinical radiation oncology including performing monthly QAs on
linear accelerators, performing pre- and post-operation radioactivity surveys
during LDR brachytherapy (eye plaque) treatments, handling imports and exports
of patient treatment information, and completing process improvements for
treatment planning workflows. With RO-SAML, he also trained a deep-learning
based auto-contouring model for organ-at-risk delineation in the HDR brachytherapy
treatment planning workflow which was subsequently implemented within the
department to aid in treatment planning. His research interests include
automation and artificial intelligence to aid in treatment planning and quality
assurance, increasing general access to radiation therapy treatments, and
improvements for imaging. Outside of his work, Andrew enjoys watching movies,
hiking, video games, and traveling.
LinkedIn: https://www.linkedin.com/in/akrupien/
E-mail: akrupien@mednet.ucla.edu
Pending
Publications:
1
Krupien,
A., Abdulakdir, Y., Luximon, D.,
O’Connell, D., Neylon, J., Lamb, J. (2024). An
open-source deep-learning model for segmentation of normal structures for
prostatic and gynecological high-dose-rate brachytherapy. Submitted for review
to the Journal of Applied Clinical Medical Physics.
2
Lauria,
M., Krupien, A., Neylon, J., Jimenez, K., Cao,
M., Wu, T., Benitez, C., Moghanaki, D., Qi, XS.
(2024). Improved lung sparing with MRgRT: a
systematic dosimetric assessment of lung stereotactic
radiotherapy. In preparation for submission to the International Journal of
Radiation Oncology – Biology - Physics.
3
Bustanoby,
I., Krupien, A., Afifa, U., et al. (2022).
Visual Perception of 3D Space and Shape in Time - Part II: 3D Space Perception
with Holographic Depth. Preprint draft available on bioRxiv, a preprint server
for biological sciences. One paper of seven in Dr. Arisaka’s series Visual Perception
of 3D Space and Shape in Time and Grand Unified Theory of Mind and Brain. https://www.biorxiv.org/content/10.1101/2022.02.28.482181v1
Open-Source
Code:
HDRPAC - A
desktop application program for autocontouring DICOM
images sent over a DICOM Network; enabled specifically for Autocontouring
planning images of the Pelvis for HDR brachytherapy from a CT scanner: https://gitlab.com/akrupien/hdrpac