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Welcome to HISB 2011

Overview

The field of healthcare is undergoing a revolution with scientific and engineering advancements seen simultaneously at all informatics levels. Healthcare IT researchers are mining information from electronic patient records and clinical guidelines to better understand the relationship between symptoms/conditions, diseases, medications/treatments and outcome. Improved diagnosis of diseases and conditions is being addressed by diagnostic imaging researchers through novel techniques for imaging and analysis. Finally, advances in systems biology research is enabling personalized medicine diagnostics and therapeutics helping revolutionize treatment for major indications like cancer and heart disease. The HISB conference is being proposed to foster an integrative approach to healthcare by the cross-fertilization of ideas among researchers in the respective areas of healthcare informatics, imaging and systems biology. The confluence of these fields is expected to not only advance the state of understanding of diseases and outcomes but also explore their relationships on a personalized biological basis.

Download the conference flyer in PDF format.

Key Dates

  • Paper and abstract Submission: February 18, 2011 February 25, 2011 (Midnight, U.S. Pacific Time) (passed)
  • Notification of Acceptance:May 16, 2011 (passed)
  • Camera-ready Version: June 10, 2011
  • Demo Proposals due: :April 20, 2011 May 2, 2011 (passed)
  • Tutorials Proposals due: : April 20, 2011 May 2, 2011 (passed)
  • Conference Dates: July 26-29, 2011

General Chairs

Program Chairs:

Registration

Please follow this link to the registration site.

Call For Papers

The field of healthcare is undergoing a revolution with scientific and engineering advancements seen simultaneously at all informatics levels. Healthcare IT researchers are mining information from electronic patient records and clinical guidelines to better understand the relationship between symptoms/conditions, diseases, medications/treatments and outcome. Improved diagnosis of diseases and conditions is being addressed by diagnostic imaging researchers through novel techniques for imaging and analysis. Finally, advances in systems biology research is enabling personalized medicine diagnostics and therapeutics helping revolutionize treatment for major indications like cancer and heart disease. The HISB conference is being proposed to foster an integrative approach to healthcare by the cross-fertilization of ideas among researchers in the respective areas of healthcare informatics, imaging and systems biology. The confluence of these fields is expected to not only advance the state of understanding of diseases and outcomes but also explore their relationships on a personalized biological basis.

The goal of this conference is to bring together researchers in healthcare informatics, medical imaging, and systems biology to not only present the state-of-the-art research in their fields but also to create synergies among the community to close the loop in the biological causal analysis of diseases, their detection through advanced imaging and the analysis of their relationships with treatments and outcomes. We will solicit original, high-quality submissions that address innovative research and development along the three tracks of healthcare informatics, systems biology and diagnostic imaging with but not limited to the following suggested topics for submission:

Track 1: Healthcare Informatics:

  • Medical knowledge representation & reasoning
  • Relating diseases to treatment and outcomes
  • Clinical decision support
  • Clinical data mining informatics
  • Clinical data integration
  • Text mining and natural language analysis of medical data
  • Public health informatics and Bio-surveillance
  • Consumer-oriented health informatics tools and applications
  • Telehealth
  • Medical knowledge extraction from EMR
  • Measuring/improving outcomes in patients

Track 3: Systems Biology:

  • Bioinformatics Algorithms
  • Machine learning for computational biology
  • Linking the genotype to phenotype
  • Gene expression analysis
  • Computational proteomics
  • Translational bioinformatics - relating to outcomes
  • Functional genomics : Recognition of genes and regulatory elements
  • Biological Regulatory networks
  • Computational approaches to Pharmacogenomics
  • Visualization of biological networks
  • Gene/Proteins/Molecular Sequence analysis
  • Regulatory genome architecture and non-coding mutations in human disease
  • High throughput imaging (e.g. RNAi)-derived data analysis
  • Realizing personalized medicine
  • Tools for systems biology research

Track 2: Imaging & Analysis:

  • Novel diagnostic imaging techniques
  • Mining of multimodal medical data (X-ray, MRI, CT, echo videos, time series data)
  • Algorithms for indexing and retrieval of data from multimodal medical databases
  • Machine learning of disease correlations from mining multimodal data
  • Disease model-building and clinical decision support systems based on multimodal analysis
  • Image/Curve/Surface/Volume Registration
  • Biomedical Image Motion Analysis
  • Multidimensional Data Visualization
  • Molecular and cellular image analysis
  • Biomedical Image Databases / Biomedical Image Retrieval
  • Diffusion Tensor Image Analysis
  • Enabling healthcare informatics through diagnostic imaging
  • Combining diagnostic imaging with systems biology

Presentation Guideline

Each oral paper gets 20 minutes of presentation time.

Poster preparation guidelines: For preparation of the final posters, please ensure that the posters fit a dimension of 36in x 36in. They will be mounted back-to-back on easels using pushpins which will be made available onsite.

Camera-ready submission guidelines are now available for accepted papers. please follow this link to get more information and upload your final paper. Papers accepted as posters are allowed the same number of pages in the proceedings and have to submit their final paper using the same preparation guidelines as oral papers.

Paper Formatting: Papers are limited to eight pages. Please use the instructions from IEEE Computer Society website to format the papers.

Blind review: HISB reviewing is double blind: authors do not know the names of the reviewers of their papers, and reviewers do not know the names of the authors. Please see the author kit for detailed explanations of how to ensure this.

Submission: HISB is using an online submission system .

Supplemental material: Supplemental material submission is optional. This material may include: videos of results that cannot be included in the main paper, anonymized related submissions to other conferences and journals, and appendices or technical reports containing extended proofs and mathematical derivations that are not essential for understanding of the paper. Contents of the supplemental material should be referred to appropriately in the paper and that reviewers are not obliged to look at it.

Simultaneous submissions: Our policy is that in submitting a paper, authors implicitly acknowledge that no paper of substantially similar content has been or will be submitted to another conference or workshop until HISB decisions are made.

Tutorials

Tutorial Schedule

  • July 26th, 1:00pm - 2:30pm
    Medical Informatics: Foundations and Clinical Applications
    Daniel L. Rubin, MD, MS

    Department of Radiology
    Stanford University
    Bio: Daniel Rubin is Assistant Professor in the Department of Radiology at Stanford University. Work in the lab lies at the intersection of biomedical informatics and imaging science. His NIH-funded research program focuses on developing informatics methods of knowledge representation, natural language processing, and decision support to improve the quality and consistency of radiology practice. Major projects include (1) developing methods to extract information and meaning from images for data mining, (2) developing statistical natural language processing methods to extract and summarize information in radiology reports and published articles, (3) resources to integrate images with related clinical and molecular data to discover novel image biomarkers of disease, and (4) translating these methods into practice by creating decision support applications that relate radiology findings to diagnoses and that will improve diagnostic accuracy and clinical effectiveness.


  • July 26th, 2:40pm - 4:10pm
    An Overview of System Biology Research and Techniques
    Ilya Goldberg, PhD

    Laboratory of Genetics
    National Institute on Aging, NIH
    Bio: Dr. Goldberg received his Ph.D. in Biochemistry and Cell Biology from the Johns Hopkins University School of Medicine in 1996. Following postdoctoral training in crystallography and virology at Harvard University, and image informatics at MIT, he joined the NIA in 2001. While at MIT, he founded the Open Microscopy Environment (OME: http://openmicroscopy.org) together with Drs. Peter Sorger and Jason Swedlow. The aims of OME are to provide open information interchange formats and open-source software infrastructure for the scientific imaging community. Currently, the IICBU continues to develop software and standards for OME, new approaches to pattern recognition in images, and new technology for image-based high throughput screening. All of this technology development drives the central theme of the IICBU: How cell and tissue morphology relate to cellular and organismal state.


  • July 26th, 4:20pm - 6:00pm
    Large-Scale, High-throughput, Microscopic Imaging and Analysis
    Hanchuan Peng , PhD

    Head, BioImage Mining Group
    Janelia Farm Research Campus
    Howard Hughes Medical Institute
    Bio: Dr. Hanchuan Peng is currently a senior computer scientist and the head of a computational bioimage analysis lab at Janelia Farm Research Campus, Howard Hughes Medical Institute. He was previously with Lawrence Berkeley National Laboratory, UC Berkeley, on computational biology, bioinformatics, and high-performance data mining, and Johns Hopkins University Medical School on human brain imaging and analysis. Dr. Peng is interested in bioimage analysis and large-scale informatics, as well as computational biology. His recent work has been focusing on building single-neuron whole-brain level 3D digital atlases for animals including fruit fly and C. elegans, and V3D, which is a high-performance visualization-assisted analysis system for large 3D+ biological and biomedical- image data sets. He is also the inventor of the minimum-redundant maximum-relevance (mRMR) feature selection algorithm. Dr. Peng is an organizer of some recent international meetings on microscopic image analysis and informatics, e.g. 2005 (Stanford), 2006 (Santa Barbara) and 2009 (Janelia Farm) Bioimage Informatics Conferences, 2010 Turning-Images-to-Knowledge Conference (Janelia Farm), 2008 and 2010 Computer Vision for Neurosciences meetings, 2010 Hackathon on 3D Image Visualization and Analysis, etc.


  • July 29th, 2:00pm - 3:30pm
    Data mining for healthcare management
    Prasanna Desikan,Kuo-Wei Hsu, Jaideep Srivastava

    Allina Hospitals & Clinics
    National Chengchi University
    University of Minnesota


  • July 29th, 3:40pm - 4:50pm
    Image Processing for Optical Coherence Tomography
    Jonathan Oakley and Daniel Russakoff

    Voxeleron, Inc.


  • July 29th, 5:00pm - 6:00pm
    Modeling Autism
    Mary Randolph-Gips

    University of Houston, Texas

News:

Journals:

Journal Publication

Selected papers in Systems Biology track will be invited for possible inclusion (with significant expansion and revision) as journal special issues in Journal of Bioinformatics and Computational Biology.
Links

Selected papers in Healthcare Informatics track will be considered for inclusion in a special issue of the journal Computers in Biology and Medicine through a separate review process.
Links