The aim of the student seminar is to provide a monthly outlet where students can present their research to one another, build collaborations, and received feedback before a conference, thesis proposal, or any other important events.
Two student presenters for each seminar in general.
|11 am||Changqing Wang||Washington University in St. Louis||Switching the transparency of an optical medium via chiral optical modes|
|Nov 11||12 pm||Eghbal Amidi||Washington University in St. Louis||The role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography|
|Nov 11||12 pm||Xinyuan Chen||Washington University in St. Louis||Model-based reconstruction for proton CT detected with multiple-layer ionization chambers|
|Dec 9||12 pm||Dinal Jayasekera||Washington University in St. Louis||Multimodal biomarkers of low back pain: A Machine Learning Approach|
|Dec 9||12 pm||Kaushik Dutta||Washington University in St. Louis||Deep Learning-based segmentation of tumors from TNBC PDX multi-contrast MR images and sensitivity analysis of radiomics features to segmentation probability boundaries|
|Feb 10||12 pm||Leanne Lannucci||Washington University in St. Louis||Reflectance Quantitative Polarized Light Imaging for Microstructural Analysis of Musculoskeletal Soft Tissues|
|Feb 10||12 pm||Zekun Li||Washington University in St. Louis||A multiple-energy-window projection-domain quantitative SPECT method for joint regional uptake quantification of Th-227 and Ra-223|
|March 10||12 pm||Dinal Jayasekera||Washington University in St. Louis||Functional disruptions of the brain in Low Back Pain (LBP): A Potential Imaging Biomarker|
|April 14||12 pm||Ulugbek S. Kamilov||Washington University in St. Louis||Computational Imaging: Reconciling Physical and Learned Models.|