Biological Shape Analysis with Geometric Statistics and Learning

Schnappschüsse moderner Mathematik aus Oberwolfach

Biological Shape Analysis with Geometric Statistics and Learning

The advances in biomedical imaging techniques have enabled us to access the 3D shapes of a variety of structures: organs, cells, proteins. Since biological shapes are related to physiological functions, shape data may hold the key to unlocking outstanding mysteries in biomedicine. This snapshot introduces the mathematical framework of geometric statistics and learning and its applications to biomedicine.

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Mathematisches Fachgebiet

Geometrie und Topologie

Wahrscheinlichkeitstheorie und Statistik

Verbindung zu anderen Gebieten

Informatik

Biowissenschaft

Autor(en)

Saiteja Utpala, Nina Miolane

Lizenz

CC BY-SA-4.0

DOI (Digital Object Identifier)

10.14760/SNAP-2022-008-EN

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Closed geodesics on surfaces and Riemannian manifolds

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Algebra und Zahlentheorie

Analysis

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Geometrie und Topologie

Numerik und Wissenschaftliches Rechnen

Wahrscheinlichkeitstheorie und Statistik

Verbindung zu anderen Gebieten

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Ingenieurwissenschaft und Technik

Finanzwesen

Geistes- und Sozialwissenschaft

Biowissenschaft

Physik

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