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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