| Deep MRI brain extraction: a 3D convolutional neural network for skull stripping J Kleesiek, G Urban, A Hubert, D Schwarz, K Maier-Hein, M Bendszus, ... NeuroImage 129, 460-469, 2016 | 471 | 2016 |
| IKK mediates ischemia-induced neuronal death O Herrmann, B Baumann, R De Lorenzi, S Muhammad, W Zhang, ... Nature medicine 11 (12), 1322-1329, 2005 | 303 | 2005 |
| Multi-modal Brain Tumor Segmentation using Deep Convolutional Neural Networks G Urban, M Bendszus, FA Hamprecht, J Kleesiek MICCAI Brain Tumor Segmentation Challenge (BraTS) Workshop, 31-35, 2014 | 249 | 2014 |
| Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study J Kleesiek, JN Morshuis, F Isensee, K Deike-Hofmann, D Paech, ... Investigative radiology 54 (10), 653-660, 2019 | 85 | 2019 |
| DALSA: Domain Adaptation for Supervised Learning from Sparsely Annotated MR Images. M Goetz, C Weber, F Binczyk, J Polanska, R Tarnawski, ... IEEE transactions on medical imaging, 2015 | 80 | 2015 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 77 | 2021 |
| Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression A Biller, S Badde, A Nagel, JO Neumann, W Wick, A Hertenstein, ... American Journal of Neuroradiology 37 (1), 66-73, 2016 | 72 | 2016 |
| ilastik for Multi-modal Brain Tumor Segmentation J Kleesiek, A Biller, G Urban, U Köthe, M Bendszus, FA Hamprecht MICCAI Brain Tumor Segmentation Challenge (BraTS) Workshop, 12-17, 2014 | 68 | 2014 |
| Analysis of PSMA expression and outcome in patients with advanced Prostate Cancer receiving 177Lu-PSMA-617 Radioligand Therapy R Seifert, K Seitzer, K Herrmann, K Kessel, M Schäfers, J Kleesiek, ... Theranostics 10 (17), 7812, 2020 | 64 | 2020 |
| PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis R Seifert, K Kessel, K Schlack, M Weber, K Herrmann, M Spanke, ... European Journal of Nuclear Medicine and Molecular Imaging 48, 1200-1210, 2021 | 60 | 2021 |
| Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer R Seifert, K Herrmann, J Kleesiek, M Schäfers, V Shah, Z Xu, G Chabin, ... Journal of Nuclear Medicine 61 (12), 1786-1792, 2020 | 57 | 2020 |
| The federated tumor segmentation (fets) challenge S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ... arXiv preprint arXiv:2105.05874, 2021 | 28 | 2021 |
| Joint Imaging Platform for Federated Clinical Data Analytics J Scherer, M Nolden, J Kleesiek, J Metzger, K Kades, V Schneider, ... JCO Clinical Cancer Informatics 4, 1027-1038, 2020 | 26 | 2020 |
| A Transgenic Approach to Identify Thyroxine Transporter‐Expressing Structures in Brain Development MF Lang, S Salinin, DA Ridder, J Kleesiek, J Hroudova, S Berger, ... Journal of neuroendocrinology 23 (12), 1194-1203, 2011 | 26 | 2011 |
| Medical Deep Learning–A systematic Meta-Review J Egger, C Gsaxner, A Pepe, KL Pomykala, F Jonske, M Kurz, J Li, ... Computer Methods and Programs in Biomedicine, 106874, 2022 | 25 | 2022 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, A Reinke, E Christodoulou, B Glocker, P Godau, F Isensee, ... arXiv preprint arXiv:2206.01653, 2022 | 23 | 2022 |
| Sodium MRI in multiple sclerosis is compatible with intracellular sodium accumulation and inflammation-induced hyper-cellularity of acute brain lesions A Biller, I Pflugmann, S Badde, R Diem, B Wildemann, AM Nagel, ... Scientific Reports 6 (1), 31269, 2016 | 21 | 2016 |
| Single-drop optimization of protein crystallization A Meyer, K Dierks, D Hilterhaus, T Klupsch, P Mühlig, J Kleesiek, ... Acta Crystallographica Section F: Structural Biology and Crystallization …, 2012 | 21 | 2012 |
| Virtual raters for reproducible and objective assessments in radiology J Kleesiek, J Petersen, M Döring, K Maier-Hein, U Köthe, W Wick, ... Scientific reports 6 (1), 25007, 2016 | 20 | 2016 |
| Wie funktioniert maschinelles Lernen? J Kleesiek, JM Murray, C Strack, G Kaissis, R Braren Der Radiologe 60 (1), 2020 | 18 | 2020 |
