Research Medical Student Grant
Emily Avery, BA
Yale School of Medicine
Deep Learning Assessment of Admission CTAs for Prognostication of Acute Large Vessel Occlusion Stroke
RSNA Research Medical Student Grant
Ernest Barral, BS
Duke University Hospital
Evaluation of Short- and Long-Term Clinical Outcomes in Patients Following Intervention for Pulmonary Embolism
RSNA Research Medical Student Grant
Joseph Behnke, PhD
Emory University
Assessment of White Matter Microstructural Integrity in Postconcussion Vestibular Dysfunction (PCVD) Using Diffusion Tensor Imaging (DTI) and Neurite Orientation Dispersion and Density imaging(NODDI)
RSNA Research Medical Student Grant
Drew Bergman, BA
Dartmouth-Hitchcock Medical Center
Epigenetic Mechanisms of the FLASH Radiotherapy Effect
RSNA Research Medical Student Grant
Rahul Chandrupatla, BS
University of California, San Diego
Deep Learning Visualization and Quantification of Mechanical Dyssynchrony in Cardiac MRI
FUJIFILM Healthcare Americas Corporation/RSNA Research Medical Student Grant
Gurvant Chaudhari, MD
University of California, San Francisco
Modeling Risk of Progression to Lung-RADS 4 From a Benign Lung Cancer Screening CT Using Imaging and Clinical Data
RSNA Research Medical Student Grant
Michelle Clark, BA
Memorial Sloan Kettering Cancer Center
Predicting Lung Adenocarcinoma Histology Subtypes Using Deep Learning Methods
RSNA Research Medical Student Grant
Jamie Clarke, MS
University of Miami
Amplified Imaging of the Pediatric Brain
RSNA Research Medical Student Grant
Erin Gaudette, BS, MSc
Dalhousie University Faculty of Medicine
Development of a Multi-Parametric Model To Distinguish Between Pseudoprogression and Progression of Glioblastoma Multiforme
RSNA Research Medical Student Grant
Amanda Gong, BA
The University of California, Los Angeles
Deep Learning in RECIST Oncology Response Assessment: Automated New Lesion Detection
RSNA Research Medical Student Grant
Prateek Gowda, BS
Johns Hopkins University
Understanding the Hemodynamics Behind the “Beats-of-Stasis” Embolization Endpoint Using a Multiparametric “In Vitro” Model of Transarterial Embolization
RSNA Research Medical Student Grant
Lindsey Greenlund, BS
University of Minnesota
Comparison of Myeloid Derived Suppressor Cells in Tumor Tissue and Peripheral Blood in Head and Neck Cancer Patients
RSNA Research Medical Student Grant
Daniel Grits, MS
Cleveland Clinic
A Comparative and Correlative Evaluation of Early to Late Stage Osteoarthritis in Human Knee Cartilage Utilizing Clinical and Preclinical MRI Imaging (3T & 7T) With Histopathology and Immunohistochemistry as the Standard
RSNA Research Medical Student Grant
Amir Hasani, MS
National Institutes of Health
Similarities and Differences of Lung Cysts in LAM and BHD Using Radiomics and Machine Learning on High-Resolution CT Scan
RSNA Research Medical Student Grant
Janson Kappen, BSc
University of Western Ontario
Visualization Tools To Aid Vascular Assessment in Pancreatic Adenocarcinoma Staging CT
RSNA Research Medical Student Grant
Mihir Khunte, BS
Rhode Island Hospital
Development and Clinical Validation of Fully Automated Artificial Intelligence Pipeline for Longitudinal Tracking of Kidney Health on Magnetic Resonance Imaging
RSNA Research Medical Student Grant
Michael Kozuch, MD, MPH
The Medical College of Wisconsin, Inc
Impact of a Standardized Vertebral Compression Fracture Management Pathway on Healthcare Resource Utilization and Opioid Use
RSNA Research Medical Student Grant
Soryan Kumar, BS
Rhode Island Hospital
Deep Reinforcement Active Learning for Post-Treatment Brain Tumor Segmentation with Quality Estimation
RSNA Research Medical Student Grant
Andrew Lancaster, BS
Johns Hopkins University
A Deep Learning-Based Multi-Task Artificial Intelligence System for Quantitative Medical Image Analysis of Thoracic Abnormalities on Chest CT
RSNA Research Medical Student Grant
Jonathan Lee, BS
Keck School of Medicine of University of Southern California
Predicting Bone Density From Spine CT and Demographic Data with a Multimodal Regression Network
RSNA Research Medical Student Grant
Zachary Miller, BSE
University of Wisconsin-Madison
Improving MRI Detection of Pulmonary Nodules Using High Resolution, End-Inspiratory Breath Held 3D UTE Lung Imaging
RSNA Research Medical Student Grant
Arif Musa, MS
University of California Irvine Medical Center
(EMPOWER) Evaluating Medical Student Participation, Observation, and Workstation Education in Radiology: Implementing a Hybrid Learning Model in Diagnostic Radiology Electives
RSNA Research Medical Student Grant
Daniella Portal, BS
Rutgers Cancer Institute of New Jersey
Evaluating the Role of Adaptive Radiation Planning on Reducing Pneumonitis in Patients With Non Small Cell Lung Cancer
RSNA Research Medical Student Grant
Divya Ramakrishnan, BS
Yale School of Medicine
PACS-Based Volumetric Analysis To Improve Outcome Prediction in Pediatric Neuro-Oncology Clinical Trials
RSNA Research Medical Student Grant
Alex Raman, MS
University of Southern California
A Federated Learning System for Radiologic Image Segmentation
RSNA Research Medical Student Grant
Ashwin Reddy, BS
Rhode Island Hospital
Artificial Intelligence for Pancreatic Cancer Evaluation and Outcome Prediction from Imaging and Clinical Data
RSNA Research Medical Student Grant
Sylvia Rhodes, BA
University of Pennsylvania
Improving Submission Quality of Clinical Trials That Use Molecular Imaging or Therapy: Findings of the University of Pennsylvania Radiation Research Safety Committee
RSNA Research Medical Student Grant
Arrix Ryce, MSc
Emory University School of Medicine
Interpretable Machine Learning for Management of Abdominal and Pelvic Injuries Caused by Blunt Trauma: A Feasibility Study With the Trauma Quality Improvement Program Registry
RSNA Research Medical Student Grant
Jeremy Stephan
Rush University Medical Center
Derivation and Validation of an Algorithm for Predicting Major Adverse Health Events Following Low-Dose CT Lung Cancer Screening
Philips/RSNA Research Medical Student Grant
Walter Zhao
Case Western Reserve University
Enhancing Robustness of Magnetic Resonance Radiomics Using Quantitative MR Fingerprinting
RSNA Research Medical Student Grant