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Philipp Vollmuth
Philipp Vollmuth
Other namesPhilipp Kickingereder
Professor, Division of Computational Neuroimaging & Dep. of Neuroradiology, Heidelberg University
Verified email at dkfz-heidelberg.de
Title
Cited by
Cited by
Year
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
17442018
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
6312015
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
6272018
No new-net
F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
5142019
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
3942016
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
3822019
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
3402019
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
3112015
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
2712016
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
2662019
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
2572016
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
2552021
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
2532013
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
2242015
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
2082015
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
2042018
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
1972018
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
1972015
International MICCAI Brainlesion Workshop
F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein
Cham: Springer, 287-297, 2017
1632017
Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imaging
P Kickingereder, B Wiestler, F Sahm, S Heiland, M Roethke, ...
Radiology 272 (3), 843-850, 2014
1632014
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