Topological Data Analysis and its Applications for Medical Data

In conjunction with the 24th International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2021), September 27 - October 1, 2021 / Strasbourg, FRANCE


Program


  • 3:00-3:10 PM, Opening Remarks (10 mins)

  • 3:10-3:40 PM, Keynote speaker :Chao Chen, Biomedical Image Analysis with Topological Information (30 mins)

  • 3:40-4:15 PM, First set of orals (35 mins)

    • (highlighted paper) Xiang Liu, Neighborhood complex based machine learning (NCML) models for drug design (20 min)

    • Yuki Saeki, Statistical modeling of pulmonary vasculatures with topological priors in CT volumes (15 min)

  • 4:15-4:45 PM, Keynote speaker, Moo K Chung, Lattice Paths for Persistent Diagrams with Application to COVID-19 Virus Spike Proteins (30 mins)

  • 4:45-4:55 PM, Break (10 mins)

  • 4:55-5:25 PM, Second set of orals (30 mins)

    • Paula Martin-Gonzalez, Predictive modelling of highly multiplexed tumour tissue images by graph neural networks (15 min)

    • Ameer Saadat-Yazdi, Topological Detection of Alzheimer's Disease using Betti Curves (15 min)

  • 5:25-05:55 PM, Keynote speaker : Punam Kumar Saha, Osteoporosis, Bone Microarchitecture, and Imaging – Recent Developments and Translational Studies (30 mins)

  • 5:55-6:00 PM, Closing Remarks (5 mins)

All times are given in UTC time.