Search Results - van Treeck, Marko
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A software pipeline for medical information extraction with large language models, open source and suitable for oncology by Wiest, Isabella (Author) , Wolf, Fabian (Author) , Leßmann, Marie-Elisabeth (Author) , van Treeck, Marko (Author) , Ferber, Dyke (Author) , Zhu, Jiefu (Author) , Boehme, Heiko (Author) , Bressem, Keno K. (Author) , Ulrich, Hannes (Author) , Ebert, Matthias (Author) , Kather, Jakob Nikolas (Author) ,
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2
Deep learning can predict cardiovascular events from liver imaging by Veldhuizen, Gregory Patrick (Author) , Lenz, Tim (Author) , Cifci, Didem (Author) , van Treeck, Marko (Author) , Clusmann, Jan (Author) , Chen, Yazhou (Author) , Schneider, Carolin V. (Author) , Luedde, Tom (Author) , de Leeuw, Peter W. (Author) , El-Armouche, Ali (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,
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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides by El Nahhas, Omar S. M. (Author) , Loeffler, Chiara M. L. (Author) , Carrero, Zunamys I. (Author) , van Treeck, Marko (Author) , Kolbinger, Fiona (Author) , Hewitt, Katherine J. (Author) , Muti, Hannah S. (Author) , Graziani, Mara (Author) , Zeng, Qinghe (Author) , Calderaro, Julien (Author) , Ortiz-Brüchle, Nadina (Author) , Yuan, Tanwei (Author) , Hoffmeister, Michael (Author) , Brenner, Hermann (Author) , Brobeil, Alexander (Author) , Reis-Filho, Jorge S. (Author) , Kather, Jakob Nikolas (Author) ,
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Privacy-preserving large language models for structured medical information retrieval by Wiest, Isabella (Author) , Ferber, Dyke (Author) , Zhu, Jiefu (Author) , van Treeck, Marko (Author) , Meyer, Sonja K. (Author) , Juglan, Radhika (Author) , Carrero, Zunamys I. (Author) , Paech, Daniel (Author) , Kleesiek, Jens Philipp (Author) , Ebert, Matthias (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,
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5
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology by Gustav, Marco (Author) , Reitsam, Nic Gabriel (Author) , Carrero, Zunamys I. (Author) , Loeffler, Chiara M. L. (Author) , van Treeck, Marko (Author) , Yuan, Tanwei (Author) , West, Nicholas P. (Author) , Quirke, Philip (Author) , Brinker, Titus Josef (Author) , Brenner, Hermann (Author) , Favre, Loëtitia (Author) , Märkl, Bruno (Author) , Stenzinger, Albrecht (Author) , Brobeil, Alexander (Author) , Hoffmeister, Michael (Author) , Calderaro, Julien (Author) , Pujals, Anaïs (Author) , Kather, Jakob Nikolas (Author) ,
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6
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types by Löffler, Chiara (Author) , El Nahhas, Omar S. M. (Author) , Muti, Hannah Sophie (Author) , Carrero, Zunamys I. (Author) , Seibel, Tobias Julian (Author) , van Treeck, Marko (Author) , Cifci, Didem (Author) , Gustav, Marco (Author) , Bretz, Kevin (Author) , Gaisa, Nadine (Author) , Lehmann, Kjong-Van (Author) , Leary, Alexandra (Author) , Selenica, Pier (Author) , Reis-Filho, Jorge S. (Author) , Ortiz-Bruechle, Nadina (Author) , Kather, Jakob Nikolas (Author) ,
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7
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: a retrospective multi-centric study by Niehues, Jan Moritz (Author) , Quirke, Philip (Author) , West, Nicholas P. (Author) , Grabsch, Heike I. (Author) , van Treeck, Marko (Author) , Schirris, Yoni (Author) , Veldhuizen, Gregory P. (Author) , Hutchins, Gordon G. A. (Author) , Richman, Susan D. (Author) , Foersch, Sebastian (Author) , Brinker, Titus Josef (Author) , Fukuoka, Junya (Author) , Bychkov, Andrey (Author) , Uegami, Wataru (Author) , Truhn, Daniel (Author) , Brenner, Hermann (Author) , Brobeil, Alexander (Author) , Hoffmeister, Michael (Author) , Kather, Jakob Nikolas (Author) ,
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8
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology by Saldanha, Oliver Lester (Author) , Löffler, Chiara (Author) , Niehues, Jan Moritz (Author) , van Treeck, Marko (Author) , Seraphin, Tobias Paul (Author) , Hewitt, Katherine Jane (Author) , Cifci, Didem (Author) , Veldhuizen, Gregory Patrick (Author) , Ramesh, Siddhi (Author) , Pearson, Alexander T. (Author) , Kather, Jakob Nikolas (Author) ,
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Predicting mutational status of driver and suppressor genes directly from histopathology with deep learning: a systematic study across 23 solid tumor types by Löffler, Chiara (Author) , Gaisa, Nadine (Author) , Muti, Hannah Sophie (Author) , van Treeck, Marko (Author) , Echle, Amelie (Author) , Ghaffari Laleh, Narmin (Author) , Trautwein, Christian (Author) , Heij, Lara R. (Author) , Grabsch, Heike I. (Author) , Ortiz Bruechle, Nadina (Author) , Kather, Jakob Nikolas (Author) ,
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10
Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy by Bündgens, Lukas (Author) , Cifci, Didem (Author) , Ghaffari Laleh, Narmin (Author) , van Treeck, Marko (Author) , Koenen, Maria T. (Author) , Zimmermann, Henning W. (Author) , Herbold, Till (Author) , Lux, Thomas Joachim (Author) , Hann, Alexander (Author) , Trautwein, Christian (Author) , Kather, Jakob Nikolas (Author) ,
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11
Adversarial attacks and adversarial robustness in computational pathology by Ghaffari Laleh, Narmin (Author) , Truhn, Daniel (Author) , Veldhuizen, Gregory Patrick (Author) , Han, Tianyu (Author) , van Treeck, Marko (Author) , Buelow, Roman D. (Author) , Langer, Rupert (Author) , Dislich, Bastian (Author) , Boor, Peter (Author) , Schulz, Volkmar (Author) , Kather, Jakob Nikolas (Author) ,
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Diagnostic markers
Image processing
Machine learning
Mathematics and computing
Biomarker development
Biomarkers, Tumor
Cancer
Cancer imaging
Cardiovascular risk
Colonoscopy
Computational biology and bioinformatics
Computational science
Deep Learning
Deep learning
Digestive signs and symptoms
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Humans
Liver MRI
Liver diseases
Major adverse cardiac events (MACE)
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Risk stratification
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