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.