Search Results - Grabsch, Heike I
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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study by Jiang, Xiaofeng (Author) , Hoffmeister, Michael (Author) , Brenner, Hermann (Author) , Muti, Hannah Sophie (Author) , Yuan, Tanwei (Author) , Foersch, Sebastian (Author) , West, Nicholas P (Author) , Brobeil, Alexander (Author) , Jonnagaddala, Jitendra (Author) , Hawkins, Nicholas (Author) , Ward, Robyn L (Author) , Brinker, Titus Josef (Author) , Saldanha, Oliver Lester (Author) , Ke, Jia (Author) , Müller, Wolfram (Author) , Grabsch, Heike I (Author) , Quirke, Philip (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,
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2
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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3
Dissecting the genetic heterogeneity of gastric cancer by Heß, Timo (Author) , Maj, Carlo (Author) , Gehlen, Jan (Author) , Borisov, Oleg (Author) , Haas, Stephan (Author) , Gockel, Ines (Author) , Vieth, Michael (Author) , Piessen, Guillaume (Author) , Alakus, Hakan (Author) , Vashist, Yogesh K. (Author) , Pereira, Carina (Author) , Knapp, Michael (Author) , Schüller, Vitalia (Author) , Quaas, Alexander (Author) , Grabsch, Heike I. (Author) , Trautmann, Jessica (Author) , Malecka-Wojciesko, Ewa (Author) , Mokrowiecka, Anna (Author) , Speller, Jan (Author) , Mayr, Andreas (Author) , Schröder, Julia (Author) , Hillmer, Axel Maximilian (Author) , Heider, Dominik (Author) , Lordick, Florian (Author) , Pérez-Aísa, Ángeles (Author) , Campo, Rafael (Author) , Espinel, Jesús (Author) , Geijo, Fernando (Author) , Thomson, Concha (Author) , Bujanda, Luis (Author) , Sopeña, Federico (Author) , Lanas Arbeloa, Ángel (Author) , Pellisé, María (Author) , Pauligk, Claudia (Author) , Götze, Thorsten (Author) , Zelck, Carolin (Author) , Reingruber, Julian (Author) , Hassanin, Emadeldin (Author) , Elbe, Peter (Author) , Alsabeah, Sandra (Author) , Lindblad, Mats (Author) , Nilsson, Magnus (Author) , Kreuser, Nicole (Author) , Thieme, René (Author) , Tavano, Francesca (Author) , Pastorino, Roberta (Author) , Arzani, Dario (Author) , Persiani, Roberto (Author) , Jung, Jin-On (Author) , Nienhüser, Henrik (Author) , Ott, Katja (Author) , Schumann, Ralf R. (Author) , Kumpf, Oliver (Author) , Burock, Susen (Author) , Arndt, Volker (Author) , Jakubowska, Anna (Author) , Ławniczak, Małgorzta (Author) , Moreno, Victor (Author) , Martín, Vicente (Author) , Kogevinas, Manolis (Author) , Pollán, Marina (Author) , Dąbrowska, Justyna (Author) , Salas, Antonio (Author) , Cussenot, Olivier (Author) , Boland-Auge, Anne (Author) , Daian, Delphine (Author) , Deleuze, Jean-François (Author) , Salvi, Erika (Author) , Teder-Laving, Maris (Author) , Tomasello, Gianluca (Author) , Ratti, Margherita (Author) , Senti, Chiara (Author) , De Re, Valli (Author) , Steffan, Agostino (Author) , Hölscher, Arnulf H. (Author) , Messerle, Katharina (Author) , Bruns, Christiane (Author) , Sīviņš, Armands (Author) , Bogdanova, Inga (Author) , Skieceviciene, Jurgita (Author) , Arstikyte, Justina (Author) , Möhler, Markus (Author) , Lang, Hauke (Author) , Grimminger, Peter (Author) , Kruschewski, Martin (Author) , Vassos, Nikolaos (Author) , Schildberg, Claus (Author) , Lingohr, Philipp (Author) , Ridwelski, Karsten (Author) , Lippert, Hans (Author) , Fricker, Nadine (Author) , Krawitz, Peter (Author) , Hoffmann, Per (Author) , Nöthen, Markus Maria (Author) , Veits, Lothar (Author) , Izbicki, Jakob R. (Author) , Mostowska, Adrianna (Author) , Martinón-Torres, Federico (Author) , Cusi, Daniele (Author) , Adolfsson, Rolf (Author) , Cancel-Tassin, Geraldine (Author) , Höblinger, Aksana (Author) , Rodermann, Ernst Michael (Author) , Ludwig, Monika (Author) , Keller, Gisela (Author) , Metspalu, Andres (Author) , Brenner, Hermann (Author) , Heller, Joerg (Author) , Neef, Markus (Author) , Schepke, Michael (Author) , Dumoulin, Franz Ludwig (Author) , Hamann, Lutz (Author) , Cannizzaro, Renato (Author) , Ghidini, Michele (Author) , Plaßmann, Dominik (Author) , Geppert, Michael (Author) , Malfertheiner, Peter (Author) , Gehlen, Olivier (Author) , Skoczylas, Tomasz (Author) , Majewski, Marek (Author) , Lubiński, Jan (Author) , Palmieri, Orazio (Author) , Boccia, Stefania (Author) , Latiano, Anna (Author) , Aragones, Nuria (Author) , Schmidt, Thomas (Author) , Dinis-Ribeiro, Mário (Author) , Medeiros, Rui (Author) , Batran, Salah-Eddin al- (Author) , Leja, Marcis (Author) , Kupčinskas, Juozas (Author) , García-González, María A. (Author) , Venerito, Marino (Author) , Schumacher, Johannes (Author) ,
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4
Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study by Muti, Hannah Sophie (Author) , Röcken, Christoph (Author) , Behrens, Hans-Michael (Author) , Löffler, Chiara M. L. (Author) , Reitsam, Nic G. (Author) , Grosser, Bianca (Author) , Märkl, Bruno (Author) , Stange, Daniel E. (Author) , Jiang, Xiaofeng (Author) , Veldhuizen, Gregory P. (Author) , Truhn, Daniel (Author) , Ebert, Matthias (Author) , Grabsch, Heike I. (Author) , Kather, Jakob Nikolas (Author) ,
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5
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study: original article by Veldhuizen, Gregory Patrick (Author) , Röcken, Christoph (Author) , Behrens, Hans-Michael (Author) , Cifci, Didem (Author) , Muti, Hannah Sophie (Author) , Yoshikawa, Takaki (Author) , Arai, Tomio (Author) , Oshima, Takashi (Author) , Tan, Patrick (Author) , Ebert, Matthias (Author) , Pearson, Alexander T. (Author) , Calderaro, Julien (Author) , Grabsch, Heike I. (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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7
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort stu... by Muti, Hannah Sophie (Author) , Heij, Lara Rosaline (Author) , Keller, Gisela (Author) , Kohlruss, Meike (Author) , Langer, Rupert (Author) , Dislich, Bastian (Author) , Cheong, Jae-Ho (Author) , Kim, Young-Woo (Author) , Kim, Hyunki (Author) , Kook, Myeong-Cherl (Author) , Cunningham, David (Author) , Allum, William H (Author) , Langley, Ruth E (Author) , Nankivell, Matthew G (Author) , Quirke, Philip (Author) , Hayden, Jeremy D (Author) , West, Nicholas P (Author) , Irvine, Andrew J (Author) , Yoshikawa, Takaki (Author) , Oshima, Takashi (Author) , Huss, Ralf (Author) , Grosser, Bianca (Author) , Roviello, Franco (Author) , d'Ignazio, Alessia (Author) , Quaas, Alexander (Author) , Alakus, Hakan (Author) , Tan, Xiuxiang (Author) , Pearson, Alexander T (Author) , Luedde, Tom (Author) , Ebert, Matthias (Author) , Jäger, Dirk (Author) , Trautwein, Christian (Author) , Gaisa, Nadine (Author) , Grabsch, Heike I (Author) , Kather, Jakob Nikolas (Author) ,
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Related Subjects
Artificial intelligence
Deep learning
Deep learning classifier
Digital pathology
Eosin staining
Gastric cancer
Gastric cancer histology
Hematoxylin
Laurén classification
Precision oncology
Prognostic utility
Survival stratification
artificial intelligence
attention heatmaps
attention-based multiple-instance learning
biomarker
colorectal cancer
computational pathology
multi-input models
oncogenic mutation
self-supervised learning