Research Medical Student Grant

Experience RSNA 2020
Experience RSNA 2020

Exposure to radiology research in medical schools ignites 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. Grant of $3,000, matched by the sponsoring department.

Elisa R. Berson
Yale University School of Medicine
Prediction of Intracerebral Hematoma Expansion Using Radiomics and Atlas-based Risk-stratification

Ivica J. Bratanovic, MSc
University of British Columbia
Evaluation of Dual-energy CT Brain Edema and Virtual Monoenergetic Reconstructions for the Earlier Detection of Cerebral Infarcts and Evaluation of Final Infarct Volume in Patients with Suspicion of Stroke

Jocelyn Cheng
Women and Infants Hospital
Impact of Point of Care Breast Cancer Risk Assessment on Rates of Supplemental Screening Completion Among Women Undergoing Screening Mammography

Jessica Colin Escobar
University of California, Irvine
Health Disparities in Radiologic Initial Staging of Rectal Cancer

Erin Gaudette, BSC, MSc
Dalhousie University Faculty of Medicine
Characterizing the Relationship Between Glioma Neovascularity and Extracellular Vesicle Release with Dynamic Susceptibility Contrast MRI and Liquid Biopsy

David Hodgson, BEng
Dalhousie Medical School
Retrospective Review of Tumor Response and Adverse Event Occurrence as a Function of Absorbed Radiation Dose After Glass Y-90 Radioembolization for Liver Cancers Treated at the QEII Health Sciences Centre (Dalhousie University)

Brian Huang
University of Pennsylvania
Predicting Survival Outcomes in Stage III and IV Non Small Cell Lung Cancer Using a Recurrent Neural Network with Pre and Post-treatment PET/CT

Daniel D. Kim
Rhode Island Hospital
Deep-learning Based Pipeline for Automatic Adult and Pediatric Brain Tumor Segmentation Robust to Missing Sequences and for Quality Assurance

Sean Kim, BS
Weill Cornell Medical College
Diagnostic and Prognostic Values of Dynamic [68Ga]-DOTATATE PET/MRI in the Management of Intracranial Meningiomas

Nikhil V. Kotha, BS
University of California, San Diego
Patterns of Failure After Chemoradiation Treatment for Muscle-invasive Bladder Cancer - Big Data and Natural Language Processing Analysis of Veterans Affairs' National Database

Victor Lee, BSc
Yale University School of Medicine
The Use of Margin Distribution to Predict Generalization Gap in Deep Learning Models for Medical Imaging

Diana Lin
Memorial Sloan Kettering Cancer Center
A Crowdsourced Contour Challenge to Engage International Radiation Oncologists in the Improvement of Radiotherapy Treatment Planning

Katherine E. Link, BS
Icahn School of Medicine at Mount Sinai
Deep Learning Enabled Screening and Monitoring of Brain Metastases on Longitudinal MRI Using Segmentation Through Time (STT)

Hayden B. Lydick, MS
The University of Texas MD Anderson Cancer Center
Quantitative Analysis of T1 MRI Data in Osteoradionecrosis of the Mandible

Evan Masutani
University of California, San Diego
Multi-task Deep Inference of Cardiac Hemodynamics for Hypertrophic Cardiomyopathy

Maria Mihailescu, BEng
University of North Carolina at Chapel Hill
Comparison of 1H UTE Versus Dynamic 19F Derived Ventilation Maps in Cystic Fibrosis Patients

David K. Nam, BA
Yale University School of Medicine
Investigating Effects of Cryoablation and Glycolysis Inhibition on Anti-tumor Immunity and Extracellular pH in a Mouse Model of Hepatocellular Carcinoma

Shane S. Neibart
Rutgers Robert Wood Johnson Medical School
Non-infectious Pneumonitis in Advanced Non-small Cell Lung Cancer: Is There an Interaction Between Immune Checkpoint Inhibition and Radiotherapy?

John R. Sollee, BS
Rhode Island Hospital
Fully Automated Artificial Intelligence Pipeline Based on Deep Learning for Longitudinal Assessment of Renal Tumor on Magnetic Resonance Imaging

Brett Tortelli
Washington University in St. Louis
The Vaginal Microbiome and Chemoradiation in Locally Advanced Cervical Cancer

Edward Wang
University of Western Ontario
Development of a Clinical Prediction Tool for Determining Feasibility of Radiotherapy Treatment in Patients with Multiple Lung Lesions

Thomas Yi
Rhode Island Hospital
Employing Quantitative Image Analysis Based on Deep Learning to Improve Treatment Efficacy in Image-guided Liver Tumor Ablation

Cathy Yu
Washington University in St. Louis
Forecasting Demand for Image-guided Endovascular Thrombectomy

Helen Yue Zhang, BS
Virginia Commonwealth University School of Medicine
Utilizing a Novel Hybrid Brachytherapy Technique FINITO (Freehand Interstitial Needles in Addition to Tandem and Ovoid) for Locally Advanced Cervical Cancer

Meihui Zhang, MS
The Ohio State University
Ultra-high Temporal Resolution Dynamic Digital Pet Imaging as a Potential Biomarker for Regional Neurologic Disease Characterization