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Klaus H. Maier-Hein
Klaus H. Maier-Hein
Other namesKlaus H. Fritzsche
Professor, Medical Image Computing, German Cancer Research Center
Verified email at dkfz.de - Homepage
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Cited by
Year
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ...
Radiology 295 (2), 328-338, 2020
16952020
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
11952018
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
F Isensee, PF Jaeger, SAA Kohl, J Petersen, KH Maier-Hein
Nature methods 18 (2), 203-211, 2021
11062021
The challenge of mapping the human connectome based on diffusion tractography
KH Maier-Hein, PF Neher, JC Houde, MA Côté, E Garyfallidis, J Zhong, ...
Nature communications 8 (1), 1349, 2017
9122017
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
8582018
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 119, 2020
6572020
nnu-net: Self-adapting framework for u-net-based medical image segmentation
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
arXiv preprint arXiv:1809.10486, 2018
5732018
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
5152023
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
4912018
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
4582016
Methodological considerations on tract-based spatial statistics (TBSS)
M Bach, FB Laun, A Leemans, CMW Tax, GJ Biessels, B Stieltjes, ...
Neuroimage 100, 358-369, 2014
4292014
No new-net
F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
4252019
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
4062017
The Medical Imaging Interaction Toolkit: challenges and advances: 10 years of open-source development
M Nolden, S Zelzer, A Seitel, D Wald, M Müller, AM Franz, D Maleike, ...
International journal of computer assisted radiology and surgery 8, 607-620, 2013
3992013
A probabilistic u-net for segmentation of ambiguous images
S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in neural information processing systems 31, 2018
3812018
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
3382016
TractSeg-Fast and accurate white matter tract segmentation
J Wasserthal, P Neher, KH Maier-Hein
NeuroImage 183, 239-253, 2018
2932018
Automatic cardiac disease assessment on cine-MRI via time-series segmentation and domain specific features
F Isensee, PF Jaeger, PM Full, I Wolf, S Engelhardt, KH Maier-Hein
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018
2652018
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
2372019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ...
Medical image analysis 67, 101821, 2021
2332021
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