Organizing Committee
  • Brian Avants
    University of Virginia
  • Nick Tustison
    University of Virginia
Abstract

Advanced Normalization Tools (ANTs, originating at sourceforge.net on 2008-06-26 and now residing at https://github.com/ANTsX/ANTs) is a computational framework for quantitative biological image analysis. ANTs was first created by Brian Avants, Nicholas Tustison, and Gang Song (now at Google) as a way to rapidly disseminate the latest methodological research to the community of scientists who depend on imaging analytics and the flexibility to study different organ systems, species or modalities all within the same computational framework. While originally focused on diffeomorphic image registration, ANTs grew to incorporate methods for segmentation, feature extraction and, more recently, evolved into a multi-package ecosystem featuring full statistical pipelines via ANTsR (https://github.com/ANTsX/ANTsR ), such as multiple modality inference of structural/functional relationships with neuroimaging, and deep learning functionality with ANTsRNet (https://github.com/ANTsX/ANTsRNet). This tutorial by the primary ANTs developers will introduce researchers to various software tools from the ANTs ecosystem with hands-on learning using publicly available data.

Workshop Schedule

Friday, May 10, 2019
TimeEventLocationMaterials
9:15 - 10:15Special Intro to ANTS (for ICERM grads and postdocs)11th Floor Lecture Hall
10:30 - 12:00Intro to ANTS for Medical Imaging11th Floor Lecture Hall
12:00 - 1:30Break for Lunch/ Free Time  
1:30 - 3:00Deep Learning and Statistical Approaches in Medical Imaging11th Floor Lecture Hall
3:00 - 3:30Coffee/Tea Break11th Floor Collaborative Space 
3:30 - 4:30Ask us about...11th Floor Conference Room

Associated Semester Workshops

Computer Vision
Algebraic Vision Research Cluster
Computational Imaging