| 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 |
| 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 |
| 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 |
| Assessment of brain iron in Alzheimer's disease A Damulina, L Pirpamer, C Langkammer, M Sackl, M Soellradl, E Hofer, ... EUROPEAN JOURNAL OF NEUROLOGY 26, 353-354, 2019 | | 2019 |
| Explainable MRI: Revealing the mechanisms underlying deep learning brain disease classification C Tinauer, L Pirpamer, M Masana, S Heber, A Damulina, M Sackl, ... | | |
| Longitudinal assessment of brain iron deposition in Alzheimer’s disease C Langkammer, A Damulina, L Pirpamer, M Soellradl, E Hofer, C Tinauer, ... | | |
| Quantitative Susceptibility Mapping in Alzheimer's Disease C Langkammer, A Damulina, L Pirpamer, M Sackl, M Soellradl, E Hofer, ... | | |
| 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, ... | | |
| Improved Automated Hippocampus Segmentation using Deep Neural Networks M Sackl, A Dima, C Payer, D Štern, R Schmidt, S Ropele | | |
Stefan RopeleDepartment of Neurology, Medical University of Graz在 medunigraz.at 的电子邮件经过验证
