Talks





Topological Data Analysis



Persistent homological brain network analysis, Lecture given in Computational Brain Connectivity Mapping, Winter School Workshop on November 24, 2017. The talk is based on Chung et al. 2017  Topological distances between brain networks, International Workshop on Connectomics in NeuroImaging, Lecture Notes in Computer Science 10511:161-170


Computational Neuronatomy


Fast polynomial approximation of heat diffusion on brain cortical manifolds, Lecture given in Tisnghua Sanya Math Forum on January 1, 2020. The talk is based on Huang et al.  2020 (IEEE Transactions on Medical Imaging 39:2201-2212).




Heat kernel smoothing, hot spots conjecture and Fielder vector, Lecture given in Casa Matem├ítica Oaxaca (CMO)  Workshop: Distributed Data for Dynamics and Manifolds in Oaxaca, Mexico on September 5, 2017 in Mexico. The talk is based on Chung et al.  2011 (Hot spots conjecture and its application to modeling tubular structures.MLMI. 7009:225-232).


Hyper spherical harmonic representation, Lecture given in Workshop on Applications-Driven Geometric Functional Data Analysis on October 10, 2017 in University of Florida. The talk is based on Hosseinbor et al. 2015 (4D hyperspherical harmonic representation of surface anatomy: a holistic treatment of multiple disconnected anatomical structures, Medical Image Analysis 22:89-101).


Heat kernel smoothing in irregular image domains, Lecture given in International Conference on Signal Processing and Information Communications on January 22, 2018 in Seoul, Korea. The talk is based on Chung et al. 2018 EBMC conference paper of the same title.