Sebastian Kurtek
Mathematics · The Ohio State University
Publications
149
Citations
3,386
Est. group size
—
Recurring co-author estimate
Active years
17
Publishing since 2010
This researcher develops statistical methods for analyzing shapes and curves—such as tumor outlines, cell nuclei arrangements, fossils, and eye-tracking patterns—using mathematical tools called elastic shape analysis and topological data analysis. Much of the work involves creating new ways to measure similarity between complex geometric objects and applying these methods to problems in medical imaging, biology, and archaeology. The research combines statistics, geometry, and computational methods to make sense of data where shape or spatial pattern matters more than raw numbers.
Publication output has declined over the last decade, from higher yearly counts around 2017-2021 to a slower, steadier pace of about 4-6 papers per year in 2022-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Hybrid Distance for Classification of Complex Biological Data Based on Elastic Shape Analysis of Curves and Topological Data Analysis of Point Clouds
ICSA book series in statistics · 2026
- Sequential Bayesian Registration for Functional Data
Statistics and Computing · 2025
- Second-order spatial analysis of shapes of tumor cell nuclei
arXiv (Cornell University) · 2025
- Classification of Bovidae fossils from Gladysvale, South Africa using elastic shape analysis
Journal of Archaeological Science · 2024
- Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms
Journal of Nonlinear Science · 2024
- Assessment of Glioblastoma Multiforme Tumor Heterogeneity via MRI-Derived Shape and Intensity Features
Data Science in Science · 2024
- Topo-Geometric Analysis of Variability in Point Clouds Using Persistence Landscapes
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024
- Probabilistic size-and-shape functional mixed models
arXiv (Cornell University) · 2024
- Probabilistic size-and-shape functional mixed models
2024
- Geometric Deep Neural Network Using Rigid and Non-rigid Transformations for Landmark-based Human Behavior Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
- Spatially penalized registration of multivariate functional data
Spatial Statistics · 2023
- Tumor radiogenomics in gliomas with Bayesian layered variable selection
Medical Image Analysis · 2023
- Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study
Journal of Applied Statistics · 2023
- Shape and Intensity Analysis of Glioblastoma Multiforme Tumors
2023
- Bayesian function registration with random truncation
PLoS ONE · 2023
- arXiv (Cornell University)×24
- Figshare×11
- Synthesis lectures on computer vision×8
- Journal of the American Statistical Association×6
- IEEE Transactions on Pattern Analysis and Machine Intelligence×2
- Zeynep Benderlioglu
Mathematics · The Ohio State University
- P. David Polly
Earth and Planetary Sciences · Indiana University
- Juhyun Park
Mathematics · Indiana University
- Xiaocheng Zhou
Engineering · Purdue University West Lafayette
- Rongjie Lai
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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