Though MICCAI 2020 is now a fully virtual conference, Kitware is looking forward to participating in this year’s activities. Kitware is co-author of multiple papers at this conference. Our work includes methods for chest x-ray tomosynthesis analysis to automated assessment of perfusion images in cases of stroke.
Dr. Stephen Aylward, senior director of strategic initiatives at Kitware, will also be participating as a MICCAI Society executive board member, young scientist mentor, and judge for the Young Scientist Publication Impact award that Kitware sponsors every year at MICCAI.
Kitware is also involved in the following workshops:

October 4: Advances in Simplifying Medical Ultrasound (ASMUS) Workshop

This inaugural workshop aims to bring together the MICCAI research community to work towards the next generation of medical ultrasound imaging methods and systems. Recent developments in deep learning and medical robotics have started to show measurable improvement in assisting ultrasound examinations, ultrasound-guided interventions, and surgeries.
The ASMUS workshop will be themed around topics related to incorporating multimodal sensory information as well as learning from the most experienced practitioners to maximize clinical utility and usability of ultrasound imaging while minimizing its associated cost.
This workshop is co-chaired by Dr. Stephen Aylward, senior director of strategic initiatives at Kitware.

October 4: The Shape in Medical Imaging (ShapeMI) Workshop

The goal of this workshop is to present the leading methods and applications for advanced shape analysis and geometric learning in medical imaging. It will provide a venue for researchers working in shape/geometric modeling, learning, analysis, statistics, classification and applications to share novel ideas, to present recent research results, and to interact with each other.

The topics that will be discussed at the Shape in Medical Imaging Workshop include:

  • Shape Processing and Analysis
  • Shape Learning and Classification
  • Geometric Learning and Manifold-based Methods
  • Statistics of Shapes and Deformations
  • Spectral Shape Analysis
  • Spectral Clustering and Dimensionality Reduction
  • Shape Modeling and Representation
  • Shape Segmentation, Registration, and Correspondence
  • Longitudinal Shape Analysis and Processing
  • Medical Applications focused on Shape Analysis
  • Evaluation/quality assessment of shape models
  • Relevant demos of freely available shape analysis software

This workshop is co-organized by Dr. Beatriz Paniagua, assistant director of medical computing at Kitware.

Physical Event