Rickmer Braren
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Cited by
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
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
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
Combined inhibition of BET family proteins and histone deacetylases as a potential epigenetics-based therapy for pancreatic ductal adenocarcinoma
PK Mazur, A Herner, SS Mello, M Wirth, S Hausmann, FJ Sánchez-Rivera, ...
Nature medicine 21 (10), 1163-1171, 2015
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
Endothelial FAK is essential for vascular network stability, cell survival, and lamellipodial formation
R Braren, H Hu, YH Kim, HE Beggs, LF Reichardt, R Wang
The Journal of cell biology 172 (1), 151-162, 2006
The family of toxin‐related ecto‐ADP‐ribosyltransferases in humans and the mouse
G Glowacki, R Braren, K Firner, M Nissen, M Kühl, P Reche, F Bazan, ...
Protein Science 11 (7), 1657-1670, 2002
CRISPR/Cas9 somatic multiplex-mutagenesis for high-throughput functional cancer genomics in mice
J Weber, R Öllinger, M Friedrich, U Ehmer, M Barenboim, K Steiger, I Heid, ...
Proceedings of the National Academy of Sciences 112 (45), 13982-13987, 2015
Multiplexed pancreatic genome engineering and cancer induction by transfection-based CRISPR/Cas9 delivery in mice
R Maresch, S Mueller, C Veltkamp, R Öllinger, M Friedrich, I Heid, ...
Nature communications 7 (1), 10770, 2016
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), 60, 2021
Cell-autonomous requirement for β1 integrin in endothelial cell adhesion, migration and survival during angiogenesis in mice
TR Carlson, H Hu, R Braren, YH Kim, RA Wang
Oxford University Press for The Company of Biologists Limited 135 (12), 2193 …, 2008
Medical imaging deep learning with differential privacy
A Ziller, D Usynin, R Braren, M Makowski, D Rueckert, G Kaissis
Scientific Reports 11 (1), 13524, 2021
Resectability after first-line FOLFIRINOX in initially unresectable locally advanced pancreatic cancer: a single-center experience
U Nitsche, P Wenzel, JT Siveke, R Braren, K Holzapfel, AM Schlitter, ...
Annals of surgical oncology 22, 1212-1220, 2015
Dual-layer spectral computed tomography: Virtual non-contrast in comparison to true non-contrast images
AP Sauter, D Muenzel, J Dangelmaier, R Braren, F Pfeiffer, EJ Rummeny, ...
European journal of radiology 104, 108-114, 2018
Opposing role of Notch1 and Notch2 in a KrasG12D-driven murine non-small cell lung cancer model
A Baumgart, PK Mazur, M Anton, M Rudelius, K Schwamborn, ...
Oncogene 34 (5), 578-588, 2015
Assessment of quantification accuracy and image quality of a full‐body dual‐layer spectral CT system
S Ehn, T Sellerer, D Muenzel, AA Fingerle, F Kopp, M Duda, K Mei, ...
Journal of applied clinical medical physics 19 (1), 204-217, 2018
Co-clinical assessment of tumor cellularity in pancreatic cancer
I Heid, K Steiger, M Trajkovic-Arsic, M Settles, MR Eßwein, M Erkan, ...
Clinical Cancer Research 23 (6), 1461-1470, 2017
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
Two novel human members of an emerging mammalian gene family related to mono-ADP-ribosylating bacterial toxins
F Koch-Nolte, F Haag, R Braren, M Kühl, J Hoovers, S Balasubramanian, ...
Genomics 39 (3), 370-376, 1997
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
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