| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2060 | 2018 |
| Brain tumor segmentation and radiomics survival prediction: Contribution to the brats 2017 challenge F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 692 | 2018 |
| Gadolinium retention in the dentate nucleus and globus pallidus is dependent on the class of contrast agent A Radbruch, LD Weberling, PJ Kieslich, O Eidel, S Burth, P Kickingereder, ... Radiology 275 (3), 783-791, 2015 | 647 | 2015 |
| 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 | 556 | 2019 |
| No new-net F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 553 | 2019 |
| Radiomic profiling of glioblastoma: identifying an imaging predictor of patient survival with improved performance over established clinical and radiologic risk models P Kickingereder, S Burth, A Wick, M Götz, O Eidel, HP Schlemmer, ... Radiology 280 (3), 880-889, 2016 | 417 | 2016 |
| 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 | 402 | 2019 |
| nnU-Net for brain tumor segmentation F Isensee, PF Jäger, PM Full, P Vollmuth, KH Maier-Hein Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 374 | 2021 |
| IDH mutation status is associated with a distinct hypoxia/angiogenesis transcriptome signature which is non-invasively predictable with rCBV imaging in human … P Kickingereder, F Sahm, A Radbruch, W Wick, S Heiland, A Deimling, ... Scientific reports 5 (1), 16238, 2015 | 341 | 2015 |
| Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment P Schelb, S Kohl, JP Radtke, M Wiesenfarth, P Kickingereder, ... Radiology 293 (3), 607-617, 2019 | 309 | 2019 |
| Radiogenomics of glioblastoma: machine learning–based classification of molecular characteristics by using multiparametric and multiregional MR imaging features P Kickingereder, D Bonekamp, M Nowosielski, A Kratz, M Sill, S Burth, ... Radiology 281 (3), 907-918, 2016 | 296 | 2016 |
| Large-scale radiomic profiling of recurrent glioblastoma identifies an imaging predictor for stratifying anti-angiogenic treatment response P Kickingereder, M Götz, J Muschelli, A Wick, U Neuberger, RT Shinohara, ... Clinical Cancer Research 22 (23), 5765-5771, 2016 | 268 | 2016 |
| Secretory meningiomas are defined by combined KLF4 K409Q and TRAF7 mutations DE Reuss, RM Piro, DTW Jones, M Simon, R Ketter, M Kool, A Becker, ... Acta Neuropathologica, 1-8, 2013 | 267 | 2013 |
| Relaxation-compensated CEST-MRI of the human brain at 7 T: unbiased insight into NOE and amide signal changes in human glioblastoma M Zaiss, J Windschuh, D Paech, JE Meissner, S Burth, B Schmitt, ... Neuroimage 112, 180-188, 2015 | 249 | 2015 |
| Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma P Kickingereder, U Neuberger, D Bonekamp, PL Piechotta, M Götz, ... Neuro-oncology 20 (6), 848-857, 2018 | 222 | 2018 |
| High-signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted images: evaluation of the macrocyclic gadolinium-based contrast agent gadobutrol A Radbruch, LD Weberling, PJ Kieslich, J Hepp, P Kickingereder, W Wick, ... Investigative radiology 50 (12), 805-810, 2015 | 214 | 2015 |
| Radiomic machine learning for characterization of prostate lesions with MRI: comparison to ADC values D Bonekamp, S Kohl, M Wiesenfarth, P Schelb, JP Radtke, M Götz, ... Radiology 289 (1), 128-137, 2018 | 213 | 2018 |
| 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 | 210 | 2022 |
| Increased signal intensity in the dentate nucleus on unenhanced T1-weighted images after gadobenate dimeglumine administration LD Weberling, PJ Kieslich, P Kickingereder, W Wick, M Bendszus, ... Investigative radiology 50 (11), 743-748, 2015 | 201 | 2015 |
| International MICCAI brainlesion workshop F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein Cham: Springer, 287-297, 2017 | 196 | 2017 |
Wolfgang WickUniversity of HeidelbergVerified email at med.uni-heidelberg.de
