Technische Universität München (TUM)

University / College


Location: München, Germany (DE) DE

ISNI: 0000000123222966

ROR: https://ror.org/02kkvpp62

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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To

Abstract

Journal

SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion (2020) Wu SC, Tateno K, Navab N, Tombari F Conference contribution Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports (2020) Bressem KK, Adams LC, Gaudin RA, Troeltzsch D, Hamm B, Makowski MR, Schuele CY, et al. Journal article Efficacy of drug-coated balloon angioplasty in early versus late occurring drug-eluting stent restenosis: A pooled analysis from the randomized ISAR DESIRE 3 and DESIRE 4 trials (2020) Koch T, Cassese S, Xhepa E, Mayer K, Toelg R, Hoppmann P, Laugwitz KL, et al. Journal article Marathon running improves mood and negative affect (2020) Roeh A, Lembeck M, Papazova , Pross B, Hansbauer M, Schoenfeld J, Haller B, et al. Journal article Simulated Annealing for 3D Shape Correspondence (2020) Holzschuh B, Laehner Z, Cremers D Conference contribution Unsupervised Dense Shape Correspondence using Heat Kernels (2020) Ayguen M, Laehner Z, Cremers D Conference contribution Distributed Photometric Bundle Adjustment (2020) Demmel N, Gao M, Laude E, Wu T, Cremers D Conference contribution 3D Deep Learning for Biological Function Prediction from Physical Fields (2020) Golkov V, Skwark MJ, Mirchev A, Dikov G, Geanes AR, Mendenhall J, Meiler J, Cremers D Conference contribution LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization (2020) Von Stumberg L, Wenzel P, Yang N, Cremers D Conference contribution Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications (2020) Fiske A, Tigard D, Mueller R, Haddadin S, Buyx A, Mclennan S Journal article