| Automated brain extraction of multisequence MRI using artificial neural networks F Isensee, M Schell, I Pflueger, G Brugnara, D Bonekamp, U Neuberger, ... Human brain mapping 40 (17), 4952-4964, 2019 | 429 | 2019 |
| Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study P Kickingereder, F Isensee, I Tursunova, J Petersen, U Neuberger, ... The Lancet Oncology 20 (5), 728-740, 2019 | 355 | 2019 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 138 | 2022 |
| Heterogeneity of response to immune checkpoint blockade in hypermutated experimental gliomas K Aslan, V Turco, J Blobner, JK Sonner, AR Liuzzi, NG Núñez, D De Feo, ... Nature communications 11 (1), 931, 2020 | 132 | 2020 |
| 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 |
| The proneural gene ASCL1 governs the transcriptional subgroup affiliation in glioblastoma stem cells by directly repressing the mesenchymal gene NDRG1 A Narayanan, F Gagliardi, AL Gallotti, S Mazzoleni, M Cominelli, ... Cell Death & Differentiation 26 (9), 1813-1831, 2019 | 53 | 2019 |
| Quantitative MRI of the spinal cord and brain in adrenomyeloneuropathy: in vivo assessment of structural changes A Castellano, N Papinutto, M Cadioli, G Brugnara, A Iadanza, G Scigliuolo, ... Brain 139 (6), 1735-1746, 2016 | 50 | 2016 |
| T2/FLAIR-mismatch sign for noninvasive detection of IDH-mutant 1p/19q non-codeleted gliomas: validity and pathophysiology M Foltyn, KN Nieto Taborda, U Neuberger, G Brugnara, A Reinhardt, ... Neuro-Oncology Advances 2 (1), vdaa004, 2020 | 43 | 2020 |
| Voxel-wise radiogenomic mapping of tumor location with key molecular alterations in patients with glioma MA Tejada Neyra, U Neuberger, A Reinhardt, G Brugnara, D Bonekamp, ... Neuro-oncology 20 (11), 1517-1524, 2018 | 40 | 2018 |
| Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis G Brugnara, F Isensee, U Neuberger, D Bonekamp, J Petersen, R Diem, ... European Radiology 30, 2356-2364, 2020 | 27 | 2020 |
| Enhanced SPARCL1 expression in cancer stem cells improves preclinical modeling of glioblastoma by promoting both tumor infiltration and angiogenesis F Gagliardi, A Narayanan, AL Gallotti, V Pieri, S Mazzoleni, M Cominelli, ... Neurobiology of Disease 134, 104705, 2020 | 25 | 2020 |
| Noninvasive characterization of tumor angiogenesis and oxygenation in bevacizumab-treated recurrent glioblastoma by using dynamic susceptibility MRI: secondary analysis of the … P Kickingereder, G Brugnara, MB Hansen, M Nowosielski, I Pflüger, ... Radiology 297 (1), 164-175, 2020 | 24 | 2020 |
| Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study P Vollmuth, M Foltyn, RY Huang, N Galldiks, J Petersen, F Isensee, ... Neuro-Oncology 25 (3), 533-543, 2023 | 18 | 2023 |
| MRI evidence of cerebellar and extraocular muscle atrophy differently contributing to eye movement abnormalities in SCA2 and SCA28 diseases LS Politi, SB Marzoli, C Godi, M Panzeri, P Ciasca, G Brugnara, ... Investigative Ophthalmology & Visual Science 57 (6), 2714-2720, 2016 | 16 | 2016 |
| T cell-independent eradication of experimental glioma by intravenous TLR7/8-agonist-loaded nanoparticles V Turco, K Pfleiderer, J Hunger, NK Horvat, K Karimian-Jazi, K Schregel, ... Nature communications 14 (1), 771, 2023 | 15 | 2023 |
| Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks I Pflüger, T Wald, F Isensee, M Schell, H Meredig, K Schlamp, ... Neuro-Oncology Advances 4 (1), vdac138, 2022 | 14 | 2022 |
| 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 |
| Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial M Schell, I Pflüger, G Brugnara, F Isensee, U Neuberger, M Foltyn, ... Neuro-oncology 22 (11), 1667-1676, 2020 | 11 | 2020 |
| Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes M Foltyn-Dumitru, M Schell, A Rastogi, F Sahm, T Kessler, W Wick, ... European radiology 34 (4), 2782-2790, 2024 | 8 | 2024 |
Ulf NeubergerDepartment of Neuroradiology, University Hospital HeidelbergDirección de correo verificada de med.uni-heidelberg.de
