Georgios Kaissis
Cited by
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Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks
PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ...
arXiv preprint arXiv:1702.05970, 2017
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
Secure, privacy-preserving and federated machine learning in medical imaging
GA Kaissis, MR Makowski, D Rückert, RF Braren
Nature Machine Intelligence 2 (6), 305-311, 2020
Intensive care risk estimation in COVID-19 pneumonia based on clinical and imaging parameters: experiences from the Munich cohort
E Burian, F Jungmann, GA Kaissis, FK Lohöfer, CD Spinner, T Lahmer, ...
Journal of clinical medicine 9 (5), 1514, 2020
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy
G Kaissis, S Ziegelmayer, F Lohöfer, K Steiger, H Algül, A Muckenhuber, ...
PloS one 14 (10), e0218642, 2019
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks
PF Christ, F Ettlinger, G Kaissis, S Schlecht, F Ahmaddy, F Grün, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging
G Kaissis, S Ziegelmayer, F Lohöfer, H Algül, M Eiber, W Weichert, ...
European radiology experimental 3 (1), 1-9, 2019
Image-based molecular phenotyping of pancreatic ductal adenocarcinoma
GA Kaissis, S Ziegelmayer, FK Lohöfer, FN Harder, F Jungmann, D Sasse, ...
Journal of clinical medicine 9 (3), 724, 2020
Lits-liver tumor segmentation challenge
P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis
ISBI and MICCAI, 2017
Magnetic resonance cholangiopancreatography at 3 Tesla: Image quality comparison between 3D compressed sensing and 2D single-shot acquisitions
FK Lohöfer, GA Kaissis, M Rasper, C Katemann, A Hock, JM Peeters, ...
European journal of radiology 115, 53-58, 2019
Improved detection rates and treatment planning of head and neck cancer using dual-layer spectral CT
FK Lohöfer, GA Kaissis, FL Köster, S Ziegelmayer, I Einspieler, ...
European radiology 28 (12), 4925-4931, 2018
Molecular imaging of myocardial infarction with Gadofluorine P–A combined magnetic resonance and mass spectrometry imaging approach
F Lohöfer, L Hoffmann, R Buchholz, K Huber, A Glinzer, K Kosanke, ...
Heliyon 4 (4), e00606, 2018
End-to-end privacy preserving deep learning on multi-institutional medical imaging
G Kaissis, A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, ...
Nature Machine Intelligence 3 (6), 473-484, 2021
Pancreatic cancer detection and characterization—state of the art cross-sectional imaging and imaging data analysis
G Kaissis, R Braren
Translational gastroenterology and hepatology 4, 2019
Targeting PI3K/mTOR signaling exerts potent antitumor activity in pheochromocytoma in vivo.
M Lee, N Minaskan, T Wiedemann, M Irmler, J Beckers, BH Yousefi, ...
Endocrine-related cancer 24 (1), 1-15, 2016
124 I-PET assessment of human sodium iodide symporter reporter gene activity for highly sensitive in vivo monitoring of teratoma formation in mice
S Lehner, C Lang, G Kaissis, A Todica, MJ Zacherl, G Boening, ...
Molecular imaging and biology 17 (6), 874-883, 2015
Implementing cell-free DNA of pancreatic cancer patient–derived organoids for personalized oncology
Z Dantes, HY Yen, N Pfarr, C Winter, K Steiger, A Muckenhuber, A Hennig, ...
JCI insight 5 (15), 2020
Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks. 2017
PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipková, S Schlecht, ...
arXiv preprint arXiv:1702.05970, 1-20, 2020
Quantitative computed tomography in comparison with transpulmonary thermodilution for the estimation of pulmonary fluid status: a clinical study in critically ill patients
B Saugel, M Wildgruber, A Staudt, M Dieckmeyer, K Holzapfel, G Kaissis, ...
Journal of clinical monitoring and computing 33 (1), 5, 2019
Borderline-resectable pancreatic adenocarcinoma: Contour irregularity of the venous confluence in pre-operative computed tomography predicts histopathological infiltration
GA Kaissis, FK Lohöfer, S Ziegelmayer, J Danner, C Jäger, R Schirren, ...
PloS one 14 (1), e0208717, 2019
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