International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2017)

in conjunction with

IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017)

Description

In recent years, deep learning has been spotlighted as the most active research field with its great success in various machine learning communities, such as image analysis, speech recognition, and natural language processing, and now its promising potential is being actively discussed in the field of biomedicine. In particular, a dramatically increasing number of deep learning-based approaches have been proposed in biomedical images and signal processing. However, relatively little application of deep learning has been made in other biomedical areas such as genomics and computational biology due to the difficulty of definition and interpretation of deep learning architecture. Moreover, there are still many challenging tasks with many open problems in deep learning that need to be solved for active use in bioinformatics, biomedicine, and healthcare informatics.

The first International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H) will be held in conjunction with IEEE International Conference on Bioinformatics and Biomedicine (BIBM) at Kansas City, MO, USA, on November, 2017. The goal of this workshop is to bring together researchers with expertise of deep learning in bioinformatics, biomedicine, and healthcare informatics and share current cutting-edge deep learning methodologies and its applications. Papers are welcome from the following topics (but not limited to):

  • Protein structures
  • Gene expression regulations
  • Genome-wide association studies
  • Protein function prediction
  • DNA-protein binding site identification
  • Clustering cancer subtypes
  • Single-cell clustering
  • Cancer diagnosis
  • 3D brain reconstruction (MRI/fMRI)
  • Tissue image classification/Organ segmentation
  • Anomaly detection
  • Human activity recognition
  • Human behavior monitoring

Important Dates (Tentative)

  • Full workshop paper submission due: Sunday, October 1, 2017 (D-6*)
  • Notification of paper acceptance: Friday, October 13, 2017 (D-18)
  • Camera-ready due of accepted papers: Friday, October 25, 2017 (D-30)
  • Workshop: November 13~16, 2017 (D-49)
*D-Day

Paper Submission

Please submit a paper (4 page IEEE 2-column format, but can be up to 6 pages without an additionaly fee), via online BIBM paper submission system: https://wi-lab.com/cyberchair/2017/bibm17/index.php. Papers should be formatted to IEEE Proceedings Manuscript Formatting Guidelines. You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Electronic submissions (in PDF or Postscript format) are required.

Submit a paper: Click here


Publication

All accepted papers will be published in the BIBM proceedings and IEEE Digital Library (Xplore). Selected high-quality papers will be invited for publication in a special issue of International Journal of Data Mining and Bioinformatics (IJDMB).


Program

TBA


Program Chairs

  • Jung Hun Oh, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, USA
    E-mail: ohj@mskcc.org
  • Mingon Kang, Department of Computer Science, Kennesaw State University, USA
    E-mail: mkang9@kennesaw.edu

Program Committee Members

  • Romeil Sandhu, Stony Brook University
  • Wookjin Choi, Memorial Sloan Kettering Cancer Center
  • Michael Young, Harvard University
  • Morteza Mardani, Stanford University
  • Yixin Chen, Washington University in St. Louis
  • Ashis Kumer Biswas, University of Colorado Denver