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New Investigator Travel Awards

Travel awards presented at the annual meeting to new investigators with an area of study and interest in imaging informatics, who are in a full-time training program, or who have completed their training program within 2 years of the SIIM Annual Meeting. Individuals must present the accepted scientific paper at the SIIM Annual Meeting.

To be eligible for a New Investigator Travel Award, applicant must be a student member of SIIM or affiliated with a SIIM institution member. Individuals must register for the annual meeting (using the complimentary SIIM student member registration category) by the early bird registration deadline to receive the travel award funding. The presenter must submit a full paper to the Journal of Digital Imaging prior to the Annual Meeting.

Travel Award Applications for SIIM 2010 are due in early September on the abstract submission deadline.

New Investigator Travel Award Recipients

2009

• IHE For Everybody: Adding TCE Functionality to Applications
  Scott L. DuVall
  University of Utah
• Walking While Working: The Effect of a Treadmill Based Workstation on Radiologists' Interpretation of Lung Nodules
  Amee Patel, MD
  University of Maryland School of Medicine
• Using Knowledge Discovery Techniques to Identify a Novel Predictor of Breast Cancer: Breast Mass Density
  Ryan Woods, MC
  University of Wisconsin School of Medicine
• Evaluation of Negation Detection and its Impact on Precision in Search
  Andrew Wu, MD
  University of Iowa Health Care

2008

• Use of Radcube – For Extraction of Finding Trends in a Large Radiology Practice
  Pragya A. Dang, MD, MBBS
  Massachusetts General Hospital
• Texture Model Comparison for Lung Nodule Interpretation and Retrieval
  Ryan D. Datteri
  Gonzaga University
• A New Discrete Transform for Efficient Medical Image Texture Analysis
  Sylvia Drabycz
  University of Calgary, Seaman Family MR Research Centre
• What are Radiologists Looking For? The Demographics and Usage Statistics for a Novel Radiology-Centric Websearch Engine
  Njogu Njuguna, MD
  Thomas Jefferson University Hospital
• Analysis of Tumor Heterogeneity and Temporal Change for Cancer Treatment Outcome Prediction: Application to Cervical Cancer
  Jeffrey W. Prescott, MS
  The Ohio State University
• Variability of Subspecialty Search Queries Made Using a Radiology-specific Search Engine
  Richard E. Sharpe
  University of Maryland Medical Center
• Increasing Accuracy of Mutual Information Based Registration of Tumor SPECT and CT Images with Dual-isotope Acquisition
  Lisa Tang
  Simon Fraser University