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Tinauer Christian Gerhard |

Präsentationen bei wissenschaftlichen und nicht-wissenschaftlichen Veranstaltungen

Tinauer, C; Pirpamer, L; Masana, M; Heber, S; Damulina, A; Sackl, M; Soellradl, M; Schmidt, R; Ropele, S; Langkammer, C Explainable MRI: Revealing the mechanisms underlying deep learning brain disease classification
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting https://index.mirasmart.com/ISMRM2022. 2022; -Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting; MAY 7-12, 2022; London, UK. [Oral Communication]

Tinauer, C; Heber, S; Pirpamer, L; Damulina, A; Schmidt, R; Ropele, S; Langkammer, C Increasing Feature Sparsity in Alzheimer's Disease Classification with Relevance-Guided Deep Learning
Proceedings of the 2021 ISMRM & SMRT Annual Meeting & Exhibition. 2021; -2021 ISMRM & SMRT Annual Meeting & Exhibition; MAY 15-20, 2021; Concord, CA, USA. [Poster]

Tinauer, C; Heber, S; Pirpamer, L; Damulina, A; Soellradl, M; Sackl, M; Hofer, E; Koini, M; Schmidt, R; Stollberger, R; Ropele, S; Langkammer, C Relevance-guided Deep Learning for Feature Identification in R2* Maps in Alzheimer's Disease Classification
Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021. 2021; 59-62.-Annual Meeting of the Austrian Society for Biomedical Engineering 2021; SEPT 30 - OCT 01, 2021; Graz, AUSTRIA. (ISBN: 978-3-85125-826-4 ) [Oral Communication]
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Colonna, I; Buchmann, A; Damulina, A; Pinter, D; Helmlinger, B; Pirpamer, L; Soellradl, M; Tinauer, C; Ropele, S; Enzinger, C; Schmidt, R; Khalil, M Comparison of deep grey matter iron deposition assessed by 3t mri r2(star) relaxometry in multiple sclerosis, alzheimer´s disease and in normal controls.
MULT SCLER J. 2020; 26(3_SUPPL):659-659.-8th Joint ACTRIMS-ECTRIMS Meeting (MSVirtual); SEP 11-13, 2020; ELECTR NETWORK. [Onlinepräsentation]
Web of Science

Damulina, A; Langkammer, C; Pirpamer, L; Soellradl, M; Sackl, M; Hofer, E; Tinauer, C; Enzinger, C; Ropele, S; Schmidt, R Longitudinal analysis of brain iron in Alzheimer´s disease.
EUR J NEUROL. 2020; 27: 223-224.-6th Congress of the European-Academy-of-Neurology (EAN); MAY 23-26, 2020; ELECTR NETWORK. [Poster]
Web of Science

Tinauer, C; Heber, S.; Pirpamer, L; Damulina, A; Soellradl, M; Sackl, M; Hofer, E; Koini, M; Schmidt, R; Ropele, S; Langkammer, C Relevance-guided Deep Learning for Feature Identification in R2* Maps in Alzheimer´s Disease Classification.
Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition. 2020; (1472):-2020 ISMRM & SMRT Virtual Conference & Exhibition; AUG 08-14, 2020; United States of America. [Poster]

Tinauer, C; Heber, S; Pirpamer, L; Damulina, A; Sackl, M; Hofer, E; Koini, M; Schmidt, R; Ropele, S; Langkammer, C Relevance-guided Feature Extraction for Alzheimer's Disease Classification
Proceedings of the ISMRM 27th Annual Meeting & Exhibition. 2019; (4813):-ISMRM 27th Annual Meeting & Exhibition; MAY 11-16, 2019; Montréal, CANADA. [Poster]

Tinauer, C; Petrovic, A; Ropele, S; Pirpamer, L Fast estimation of relaxometry times using CUDA
Magn Reson Mater Phy (2016) 29(Suppl 1): 401. doi:10.1007/s10334-016-0571-2. 2016; 29(1):471-472.-ESMRMB; SEP 29 -OKT 1, 2016; Vienna, AUSTRIA. [Poster]
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