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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
Title
Cited by
Cited by
Year
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
33602021
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
24672020
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
18342018
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), 1-7, 2020
15352020
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
15102018
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
11472017
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
10072023
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
8932018
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
7282022
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
6432018
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
5812016
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
5702018
No new-net
F Isensee, P Kickingereder, W Wick, M Bendszus, KH Maier-Hein
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
5342019
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
5082014
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
5052017
CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation
AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ...
Medical Image Analysis 69, 101950, 2021
4952021
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
4842021
TractSeg-Fast and accurate white matter tract segmentation
J Wasserthal, P Neher, KH Maier-Hein
NeuroImage 183, 239-253, 2018
4652018
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
4632013
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
4442019
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