Technische Universität Graz

University / College


Location: Graz, Austria (AT) AT

ISNI: 000000012294748X

ROR: https://ror.org/00d7xrm67

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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Unpublished / Preprint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

Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study (2019) Lloyd DF, Pushparajah K, Simpson JM, van Amerom JF, van Poppel MP, Schulz A, Kainz B, et al. Journal article DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale (2019) Roters F, Diehl M, Shanthraj P, Eisenlohr P, Reuber C, Wong SL, Maiti T, et al. Journal article Hierarchical organization of perylene bisimides and polyoxometalates for photo-assisted water oxidation (2019) Bonchio M, Syrgiannis Z, Burian M, Marino N, Pizzolato E, Dirian K, Rigodanza F, et al. Journal article Assessment of the generalization of learned image reconstruction and the potential for transfer learning (2019) Knoll F, Hammernik K, Kobler E, Pock T, Recht MP, Sodickson DK Journal article Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions (2019) Johnson PM, Muckley MJ, Bruno M, Kobler E, Hammernik K, Pock T, Knoll F Conference contribution Inverse GANs for accelerated MRI reconstruction (2019) Narnhofer D, Hammernik K, Knoll F, Pock T Conference contribution Machine learning for image reconstruction (2019) Hammernik K, Knoll F Authored book Challenges and perspectives in brain tissue testing and modeling (2019) Budday S, Holzapfel GA, Steinmann P, Kuhl E Journal article, Original article Region‐ and loading‐specific finite viscoelasticity of human brain tissue (2018) Budday S, Sommer G, Paulsen F, Holzapfel GA, Steinmann P, Kuhl E Journal article, Original article Variational Deep Learning for Low-Dose Computed Tomography (2018) Kobler E, Muckley M, Chen B, Knoll F, Hammernik K, Pock T, Sodickson D, Otazo R Conference contribution