Suivre
Georgios Kaissis
Titre
Citée par
Citée par
Année
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
3982019
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
3092017
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
2962020
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
792021
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
532020
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ...
NPJ digital medicine 4 (1), 1-11, 2021
482021
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
442019
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
422019
Pysyft: A library for easy federated learning
A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ...
Federated Learning Systems, 111-139, 2021
342021
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
332020
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
332017
Medical imaging deep learning with differential privacy
A Ziller, D Usynin, R Braren, M Makowski, D Rueckert, G Kaissis
Scientific Reports 11 (1), 1-8, 2021
262021
Joint imaging platform for federated clinical data analytics
J Scherer, M Nolden, J Kleesiek, J Metzger, K Kades, V Schneider, ...
JCO clinical cancer informatics 4, 1027-1038, 2020
192020
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
172020
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
172019
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
162020
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
162019
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
162018
Accuracy of calcium scoring calculated from contrast-enhanced coronary computed tomography angiography using a dual-layer spectral CT: a comparison of calcium scoring from real …
J Nadjiri, G Kaissis, F Meurer, F Weis, KL Laugwitz, AS Straeter, ...
PLoS One 13 (12), e0208588, 2018
152018
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
122018
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