| Multimodal predictive modeling of endovascular treatment outcome for acute ischemic stroke using machine-learning G Brugnara, U Neuberger, MA Mahmutoglu, M Foltyn, C Herweh, S Nagel, ... Stroke 51 (12), 3541-3551, 2020 | 118 | 2020 |
| Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study CJ Preetha, H Meredig, G Brugnara, MA Mahmutoglu, M Foltyn, F Isensee, ... The Lancet Digital Health 3 (12), e784-e794, 2021 | 70 | 2021 |
| Dynamics of cerebral perfusion and oxygenation parameters following endovascular treatment of acute ischemic stroke G Brugnara, C Herweh, U Neuberger, MB Hansen, C Ulfert, ... Journal of NeuroInterventional Surgery 14 (1), 2022 | 13 | 2022 |
| Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke G Brugnara, M Baumgartner, ED Scholze, K Deike-Hofmann, K Kades, ... Nature Communications 14 (1), 4938, 2023 | 5 | 2023 |
| Simultaneous EEG/MEG yields complementary information of nociceptive evoked responses MA Mahmutoglu, A Rupp, U Baumgärtner Clinical Neurophysiology 143, 21-35, 2022 | 2 | 2022 |
| Posterior insular activity contributes to the late laser-evoked potential component in EEG recordings MA Mahmutoglu, U Baumgärtner, A Rupp Clinical Neurophysiology 132 (3), 770-781, 2021 | 2 | 2021 |
| Deep Learning-based Identification of Brain MRI Sequences Using a Model Trained on Large Multicentric Study Cohorts MA Mahmutoglu, CJ Preetha, H Meredig, JC Tonn, M Weller, W Wick, ... Radiology: Artificial Intelligence, e230095, 2023 | | 2023 |
| The cortical signature of nociceptive signals-combined EEG-MEG recordings MA Mahmutoglu, A Rupp, U Baumgaertner ACTA PHYSIOLOGICA 219, 21-21, 2017 | | 2017 |
