| Cross-sectional and longitudinal assessment of brain iron level in Alzheimer disease using 3-T MRI A Damulina, L Pirpamer, M Soellradl, M Sackl, C Tinauer, E Hofer, ... Radiology 296 (3), 619-626, 2020 | 87 | 2020 |
| Interpretable brain disease classification and relevance-guided deep learning C Tinauer, S Heber, L Pirpamer, A Damulina, R Schmidt, R Stollberger, ... Scientific Reports 12 (1), 20254, 2022 | 10 | 2022 |
| Deep quantitative susceptibility mapping by combined background field removal and dipole inversion S Heber, C Tinauer, S Bollmann, S Ropele, C Langkammer Proc. Intl. Soc. Mag. Reson. Med, p4028, 2019 | 4 | 2019 |
| Heritability of R2* iron in the basal ganglia and cortex E Hofer, L Pirpamer, C Langkammer, C Tinauer, S Seshadri, H Schmidt, ... Aging (Albany NY) 14 (16), 6415, 2022 | 2 | 2022 |
| Explainable Brain Disease Classification and Relevance-Guided Deep Learning C Tinauer, S Heber, L Pirpamer, A Damulina, R Schmidt, R Stollberger, ... medRxiv, 2021.09. 09.21263013, 2021 | 1 | 2021 |
| Explainable Deep Learning of Multi-parametric MRI Data for Alzheimer’s Disease Classification CG Tinauer PhD thesis, Graz University of Technology, 2020 | 1 | 2020 |
| Relevance-guided Feature Extraction for Alzheimer's Disease Classification C Tinauer, S Heber, L Pirpamer, A Damulina, M Sackl, E Hofer, M Koini, ... ISMRM 27th Annual Meeting & Exhibition, Montréal, CANADA, 2019 | 1 | 2019 |
| Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification C Tinauer, A Damulina, M Sackl, M Soellradl, R Achtibat, M Dreyer, ... arXiv preprint arXiv:2404.10433, 2024 | | 2024 |
| Evaluation of a self-administered iPad®-based processing speed assessment for people with multiple sclerosis in a clinical routine setting S Hechenberger, B Helmlinger, C Tinauer, E Jauk, S Ropele, B Heschl, ... Journal of Neurology, 1-11, 2024 | | 2024 |
| Evaluation of a Self-Administered iPad-Based Test to Measure Processing Speed in People with Multiple Sclerosis S Hechenberger, B Helmlinger, C Tinauer, VM Fruhwirth, S Ropele, ... MULTIPLE SCLEROSIS JOURNAL 29, 190-190, 2023 | | 2023 |
| Comparison of deep grey matter iron deposition assessed by 3t mri r2 (star) relaxometry in multiple sclerosis, alzheimer's disease and in normal controls I Colonna, A Buchmann, A Damulina, D Pinter, B Helmlinger, L Pirpamer, ... MULTIPLE SCLEROSIS JOURNAL 26 (3_ SUPPL), 659-659, 2020 | | 2020 |
| Longitudinal analysis of brain iron in Alzheimer's disease A Damulina, C Langkammer, L Pirpamer, M Soellradl, M Sackl, E Hofer, ... EUROPEAN JOURNAL OF NEUROLOGY 27, 223-224, 2020 | | 2020 |
| Explainable MRI: Revealing the mechanisms underlying deep learning brain disease classification C Tinauer, L Pirpamer, M Masana, S Heber, A Damulina, M Sackl, ... | | |
| Increasing Feature Sparsity in Alzheimer's Disease Classification with Relevance-Guided Deep Learning C Tinauer, S Heber, L Pirpamer, A Damulina, R Schmidt, S Ropele, ... | | |
| MRI-fitting C Tinauer, A Petrovic, S Ropele, L Pirpamer | | |
| Longitudinal assessment of brain iron deposition in Alzheimer’s disease C Langkammer, A Damulina, L Pirpamer, M Soellradl, E Hofer, C Tinauer, ... | | |
| Relevance-guided Deep Learning for Feature Identification in R2* Maps in Alzheimer’s Disease Classification C Tinauer, S Heber, L Pirpamer, A Damulina, M Soellradl, M Sackl, ... | | |
