Bioimaging and Spatial Statistics Group
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Projects and Cooperations

MCML – Munich Center for Machine Learning

Performant Bayesian Learning from Images (Prof. Dr. Volker Schmid) aims in developing computationally efficient approximate methods for Bayesian image analysis and their application, especially in the field of image segmentation.

Research project at the Munich Center for Machine Learning MCML

Sponsored by German Federal Ministry of Education and Research

ISAR-IQ

ISAR-IQ – Integration and spatial analysis of regional, site-specific and patient-specific factors to improve the quality of care in revascularization of the carotid artery

In cooperation with Klinikum rechts der Isar der Technischen Universität München – Klinik für Vaskuläre und Endovaskuläre Chirurgie

Sponsored by Innovationsfonds des Gemeinsamen Bundesausschusses

Cooperations

LMU Biozentrum, Martinsried


Cooperation with Prof. Dr. Thomas Cremer and Dr. Marion Cremer

Quantitative Analysis of the Nucleom

Isfahan University of Medical Sciences

Cooperation with Prof. Behzad Mahaki

Bayesian Disease Mapping of Several Diseases