The health, safety and well-being of our BSD community, on and off-campus, is our top priority. We will continue to update the community regularly to keep you informed. Information on BSD-specific resources can be found here. Also please continue to consult the University and University of Chicago Medicine guidance as appropriate.
Gregory Anthony successfully defended his thesis discussing therapeutic ultrasound and improved image guidance and combinatorial treatments for recurrent prostate cancer. Anthony's advisor is Steffen Sammet. Anthony is now a diagnostic imaging physics resident at Indiana University.
Eyjolfur Gudmundsson successfully defended his thesis "Functional, volumetric, and textural analysis of malignant pleural mesothelioma using computed tomography and deep convolutional neural networks." His advisor is Samuel G. Armato. Gudmundsson has accepted a position as a postdoctoral research at University College, London.
Fourth year medical physics student Scott Trinkle has received a Ruth L. Kirchstein National Research Service Award from the National Institute of Neurological Disorders and Stroke (NINDS) for up to 3 years to support research on a novel multi-modal, multi-scale imaging pipeline for the validation of diffusion MRI of the brain.
Congratulations to Kayla Robinson on defending her PhD thesis this week! Her dissertation is titled "Machine Learning on Medical Imaging for Breast Cancer Risk Assessment" and her advisor is Maryellen Giger.
One of our graduate students, Greg Anthony, recently published an article in Medical Physics titled "MRI‐guided Transurethral Insonation of Silica‐shell Phase‐shift Emulsions in the Prostate with an Advanced Navigation Platform." https://aapm.onlinelibrary.wiley.com/d…/abs/10.1002/mp.13279
Kayla Robinson, one of our graduate students, recently had a paper published in the journal Medical Physics: https://aapm.onlinelibrary.wiley.com/…/full/10.1002/mp.13455 The paper is titled "Radiomics robustness assessment and classification evaluation: A two‐stage method demonstrated on multivendor FFDM," and explores a method that incorporates the reproducibility of individual texture features across imagi