Imaging Informatics Workshop 2011

Date: 

Monday, January 24, 2011 - 12:15

Objective: The workshop brought together clinicians, scientists, and engineers with an interest in using clinical images for biomedical research

INTRODUCTION

 

Welcome and Overview of iDASH    

Lucila Ohno-Machado, University of California San Diego

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Ontology-driven image management, integration and visualization    

James Brinkley, University of Washington

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Discussion on iDASH and Image Management  

Panel: Lucila Ohno-Machado and James Brinkley

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ARCHITECTURE AND TOOLS

 

Imaging Informatics in Radiology and Beyond       

Brent Liu, University of Southern California

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A Report Retrieval System using NLP derived indexes and Treemap visualization 

Ricky Taira, University of California Los Angeles

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Distributed and virtual storage solutions for Imaging Informatics

Jasper Lee, University of Southern California

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3D Slicer and the NA-MIC kit    

Ron Kikinis, Harvard

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Discussion on Architecture and Tools 

Panel: Brent Liu, Ricky Taira, Jasper Lee, Ron Kikinis

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PRACTICAL EXPERIENCE

 

Experiences and lessons learned: PACS data migration for clinical and research uses    

Jim Chen, University of California San Diego

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ANNOTATIONS AND ONTOLOGIES

 

Annotating images with community ontologies: experiences from neuroscience

Maryann Martone, University of California San Diego

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Towards an onotology of visual information   

Dina Demner-Fushman, National Library of Medicine

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Structuring image data     

Daniel Rubin, Stanford

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Discussion on Annotations and Ontologies 

Panel: Maryann Martone, Dina Demner-Fushman, and Daniel Rubin

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APPLICATIONS

 

The Varieties of Medical Images: A Research Perspective

Brian Chapman, University of California San Diego

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Modeling Radiological Imaging and Molecular Biology Correlates from Literature

William Hsu, University of California Los Angeles

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Multimodal Image Retrieval: ImageCLEF and beyond   

Jayashree Kalpathy-Cramer, Oregon Health & Science University

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Discussion on Applications (Session 1)    

Panel: Brian Chapman, William Hsu, Jayashree Kalpathy-Cramer

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Detecting Cancer in Prostate Pathology Images     

Mayank Kabra, University of California San Diego

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Imaging Informatics: Brain and Musculoskeletal Applications  

Usha Sinha, San Diego State University

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Arterial tortuosity as phenotype for environmental and genetic causes of vascular disease     

Karl Diedrich, University of Utah

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Discussion on Applications (Session 2)    

Panel: Mayank Kabra, Usha Sinha, Karl Diedrich

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CONCLUSION

 

Discussion: What are the most valuable contributions iDASH could make to imaging informatics?    

 

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