Ludwig-Maximilians-Universität (LMU)

University / College


Location: München, Germany (DE) DE

ISNI: 000000041936973X

ROR: https://ror.org/05591te55

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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Unpublished / Preprint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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Abstract

Journal

Tunable isolated attosecond X-ray pulses with gigawatt peak power from a free-electron laser (2020) Duris J, Li S, Driver T, Champenois EG, Macarthur JP, Lutman AA, Zhang Z, et al. Journal article Single-shot carrier–envelope-phase measurement in ambient air (2020) Kubullek M, Wang Z, Von Der Brelje K, Zimin D, Rosenberger P, Schoetz J, Neuhaus M, et al. Journal article Multi-octave, CEP-stable source for high-energy field synthesis (2020) Alismail A, Wang H, Barbiero G, Altwaijry N, Hussain SA, Pervak V, Schweinberger W, et al. Journal article Non-activatable mutant of inhibitor of kappa B kinase α (IKKα) exerts vascular site-specific effects on atherosclerosis in Apoe-deficient mice (2020) Tilstam P, Soppert J, Hemmers C, Harlacher E, Doering Y, Van Der Vorst EPC, Schulte C, et al. Journal article ‘Squeeze & excite’ guided few-shot segmentation of volumetric images (2020) Roy AG, Siddiqui S, Poelsterl S, Navab N, Wachinger C Journal article Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI (2020) Ahmadi SA, Boetzel K, Levin J, Maiostre J, Klein T, Wein W, Rozanski V, et al. Journal article Decision Support for Intoxication Prediction Using Graph Convolutional Networks (2020) Burwinkel H, Keicher M, Bani-Harouni D, Zellner T, Eyer F, Navab N, Ahmadi SA Conference contribution Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time (2020) Vivar G, Mullakaeva K, Zwergal A, Navab N, Ahmadi SA Conference contribution Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions (2020) Burwinkel H, Matz H, Saur S, Hauger C, Evren AM, Hirnschall N, Findl O, et al. Conference contribution Latent-Graph Learning for Disease Prediction (2020) Cosmo L, Kazi A, Ahmadi SA, Navab N, Bronstein M Conference contribution