| 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 | 1168 | 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 | 938 | 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 | 431 | 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 | 391 | 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 | 323 | 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 | 285 | 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 | 238 | 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 | 219 | 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 | 202 | 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 | 196 | 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 | 181 | 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 | 141 | 2021 |
| 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 | 109 | 2018 |
| 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 | 107 | 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 | 91 | 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 | 91 | 2015 |
| 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 | 90 | 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 | 79 | 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 | 72 | 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 | 69 | 2019 |
Georgios KaissisTechnical University of MunichBestätigte E-Mail-Adresse bei tum.de
