Research Medical Student Grant

Experience RSNA 2020
Experience RSNA 2020

The Research Medical Student Grant gives medical students the opportunity to gain research experience in medical imaging while they’re still in school—igniting a passion for the specialty. With support of the community and a network of mentors, a summer project can turn into a career-long pursuit of research and discovery.

Bita Behrouzi
Geisel School of Medicine at Dartmouth
Prognostic Value of Longitudinal MRI Radiomic Features in Glioblastoma Before, During, and After Radiation Therapy
RSNA Research Medical Student Grant

David Cao
University of Chicago
CT Radiomic Features of Lymph Node Metastases in Head and Neck Cancer
FUJIFILM Medical Systems USA, Inc./RSNA Research Medical Student Grant

Nathan Chai
Yale University
A Machine Learning Model for the Prediction of HCC Recurrence After Thermal Ablation Using Imaging and Clinical Features
RSNA Research Medical Student Grant

Shin Mei Chan, BS
Yale University
Virtual Reality for Interventional Radiology: Global Training Applications
RSNA Research Medical Student Grant

Kevin Chen, BS
The Washington University
Urine Tumor DNA as a Biomarker for Bladder-sparing Approaches to Muscle-invasive Bladder Cancer
RSNA Research Medical Student Grant

Monica Cheng
Indiana University School of Medicine
Novel Molecular Imaging Approach for Whole Body Tumor Perfusion Assessment
RSNA Research Medical Student Grant

Rachel Choi
Yale University
Deep Learning Derived Imaging Biomarkers for Breast Cancer Outcomes
RSNA Research Medical Student Grant

Corbin D. Ester
Massachusetts General Hospital
Deep Learning for Determining Diagnostic Image Quality and Hip Alignment on Ultrasound of Infants With Suspect Developmental Dysplasia of the Hips (DDH)
RSNA Research Medical Student Grant

Feyisope R. Eweje, BS
University of Pennsylvania
Deep Learning Model for MR-based Classification of Bone Lesions: Extensions to Clinical AI Applications
RSNA Research Medical Student Grant

Alexey Gurevich, BS, MS
University of Pennsylvania
Characterization and Modulation of the Embolic-associated Immune Landscape Within Hepatocellular Carcinoma
RSNA Research Medical Student Grant

Celina Hsieh
Rhode Island Hospital
Deep Learning for Fully-automated Assessment of Treatment Response Following Trans-arterial Chemoembolization for Hepatocellular Carcinoma
RSNA Research Medical Student Grant

Tina Q. Huang
University of California, Los Angeles
Cost-effectiveness of Surveillance Versus Prophylactic Cranial Irradiation for Extensive-stage Small Cell Lung Cancer
RSNA Research Medical Student Grant

Prayash Katlariwala, BSC
University of Alberta
Inter-reader and Intra-reader Reliability of the O-RADS Risk Stratification and Management System Amongst Less Experienced Radiologists Practicing in a North American Institution
RSNA Research Medical Student Grant

Young Joon Kwon, BS, MS
Icahn School of Medicine at Mount Sinai
Machine Learning Based Compression Algorithm for Greater Public Health Outreach of Radiological Resources
RSNA Research Medical Student Grant

Kaitlynn J. Motley, BS
University of Maryland
Predicting Outcome After Renal Trauma Using Voxelwise Measurements of Laceration and Associated Bleeding Features
RSNA Research Medical Student Grant

Brennan Olson, BA
Oregon Health & Science University
Establishment and Validation of Cervical Vertebrae Muscle Wasting as a Marker of Sarcopenia for Patients with Head and Neck Cancer
RSNA Research Medical Student Grant

Leland Pung, MEng
Duke University
Evaluation of Automated Vessel Detection Software for Upper and Lower GI Bleeds
RSNA Research Medical Student Grant

Simone Raiter
Rosalind Franklin University
Creating a Timeline of Immune Response to DEB-TACE to Optimize Combined Therapy with Immune Checkpoint Blockade in an Animal Model of HCC
RSNA Research Medical Student Grant

Diwash Thapa, BS
University of North Carolina
Development of a Low Dose 3D Spinal Imaging Prototype with Carbon Nanotube X-ray Sources
RSNA Research Medical Student Grant

Thi My Linh Tran, BS
Warren Alpert Medical School of Brown University
Prediction of Outcomes of Acute Ischemic Stroke Based on CT Angiography (CTA) and Digital Subtraction Angiography (DSA) before Mechanical Thrombectomy Using Machine Learning
RSNA Research Medical Student Grant

Nathan M. Velarde
University of California, San Francisco
Determining Predictors of When Systematic Transrectal Ultrasound Guided Biopsy Adds Value to the Detection of Clinically Significant Prostate Cancer
RSNA Research Medical Student Grant

William D. Wagstaff, Jr
University of Chicago
Elucidating the Impact of Short Regulatory RNA on Acquired Vemurafenib Resistance and Radiosensitivity in Human Melanoma Cell Lines
RSNA Research Medical Student Grant

Ryan Wahidi
Washington University in St. Louis
Quantification of PCR in Peripheral Muscle Using Cest for Patients With Type II Diabetes Mellitus
RSNA Research Medical Student Grant

Alexander D. Wong, BSc, MPH
Dalhousie University
Development and Validation of a Deep Machine Learning Tool for Automated Intraventricular Hemorrhage Segmentation and Volume Measurement Using 3D Convolutional Neural Networks
RSNA Research Medical Student Grant

Ianto L. Xi
University of Pennsylvania
Deep Learning for Differentiation of Steatohepatitis and Steatosis
Philips/RSNA Research Medical Student Grant

Maria Zhu, MSc
University of British Columbia
Assessment of CT Perfusion Software at Variable Acquisition Times to Predict Final Infarct Volume
RSNA Research Medical Student Grant