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Disambiguation of "Zisler, Matthias"

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Multi-level Geometric Optimization for Regularised Constrained Linear Inverse Problems.

, , and . CoRR, (2022)

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Matthias Hägele

Immunrekonstitution nach haploidenter hämatopoetischer Stammzelltransplantation: Einfluss eines CD3-CD19-depletierten gegenüber einem CD34-selektionierten Transplantat. Uni Tübingen, (2008)

Matthias Meyer

Musterbasiertes Re-Engineering von Softwaresystemen. Uni Paderborn, (2009)

Matthias Schmidt

Topographische Verteilung und Morphometrie von retinalen Mikrogliazellen. Uni Münster, (2009)

Matthias Möller

Antikaons in infinite nuclear matter and nuclei. TU Darmstadt, (2007)

Matthias Zimmer

Risikomanagment: Fehlermanagment in der präklinischen Notfallmedizin. Uni Frankfurt Main, (2009)
 

Other publications of authors with the same name

Self-Assignment Flows for Unsupervised Data Labeling on Graphs., , , and . SIAM J. Imaging Sci., 13 (3): 1113-1156 (2020)Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment., , , , and . GCPR, volume 11269 of Lecture Notes in Computer Science, page 698-713. Springer, (2018)Multi-level Geometric Optimization for Regularised Constrained Linear Inverse Problems., , and . CoRR, (2022)Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment., , , and . SSVM, volume 11603 of Lecture Notes in Computer Science, page 432-444. Springer, (2019)Learning Features via Transformer Networks for Cardiomyocyte Profiling., , , , , , , , and . Bildverarbeitung für die Medizin, page 167-172. Springer, (2022)Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment., , , and . J. Math. Imaging Vis., 62 (6-7): 982-1006 (2020)Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment., , , and . CoRR, (2019)Self-Assignment Flows for Unsupervised Data Labeling on Graphs., , , and . CoRR, (2019)On the Remarkable Efficiency of SMART., , , , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 418-430. Springer, (2023)Non-Convex and Geometric Methods for Tomography and Label Learning. Heidelberg University, Germany, (2020)base-search.net (ftunivheidelb:oai:archiv.ub.uni-heidelberg.de:28792).