1484O Deep learning predicts patients’ outcome and mutations from H&amp;E slides in gastrointestinal stromal tumor (GIST)

A. Italiano; Y. Fu; M Karanian; R. Perret; A. Camara; F. Le Loarer; M. Jean-Denis; I. Hostein; A. Michot; F. Ducimetiere; A. Giraud; J-B. Courreges; K. Courtet; Y. Laizet; J.O. du Terrail; B. Schmauch; C. Maussion; Jean Yves Blay; J.M. Coindre

doi:10.1016/j.annonc.2022.07.1587

Preprint2022

Deep learning predicts patients’ outcome and mutations from H&amp;E slides in Gastrointestinal stromal tumor (GIST)

Yu Fu, Marie Karanian, Raul Perret, Axel Camara, François Le Loarer, Myriam Jean‐Denis, Isabelle Hostein, Audrey Michot, Françoise Ducimetière, Antoine Giraud, Jean-Baptiste Courrèges, Kevin Courtet, Yec’han Laizet, Etienne Bendjebbar, Jean Ogier du Terrail, Benoît Schmauch, Charles Maussion, Jean Yves Blay, Antoîne Italiano, Jean‐Michel Coindre

Article2023

Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor

Yu Fu, Marie Karanian, Raul Perret, Axel Camara, François Le Loarer, Myriam Jean‐Denis, Isabelle Hostein, Audrey Michot, Françoise Ducimetière, Antoine Giraud, Jean-Baptiste Courrèges, Kevin Courtet, Yec’han Laizet, Etienne Bendjebbar, Jean Ogier du Terrail, Benoît Schmauch, Charles Maussion, Jean Yves Blay, Antoîne Italiano, Jean‐Michel Coindre

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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Hewitt, Hannah S. Muti, Mara Graziani, Qinghe Zeng, Julien Caldéraro, Nadina Ortiz‐Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis‐Filho, Jakob Nikolas Kather

Corrigendum2024

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Hewitt, Hannah S. Muti, Mara Graziani, Qinghe Zeng, Julien Caldéraro, Nadina Ortiz‐Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis‐Filho, Jakob Nikolas Kather

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Intra-patient dose escalation (IPDE) of ripretinib after disease progression in patients with advanced gastrointestinal stromal tumor (GIST): Analyses from the phase 3 INVICTUS study.

John Zalcberg, Michael C. Heinrich, Suzanne George, Sebastian Bauer, Patrick Schöffski, César Serrano, Robin L. Jones, Hans Gelderblom, Steven Attia, Gina Z. D’Amato, Ping Chi, Peter Reichardt, Neeta Somaiah, Julie Nicole Meade, V. Reichert, Kelvin Shi, Matthew L. Sherman, Rodrigo Ruiz‐Soto, Margaret von Mehren, Jean Yves Blay

1484O Deep learning predicts patients’ outcome and mutations from H&E slides in gastrointestinal stromal tumor (GIST)

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Deep learning predicts patients’ outcome and mutations from H&amp;E slides in Gastrointestinal stromal tumor (GIST)

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Intra-patient dose escalation (IPDE) of ripretinib after disease progression in patients with advanced gastrointestinal stromal tumor (GIST): Analyses from the phase 3 INVICTUS study.

1484O Deep learning predicts patients’ outcome and mutations from H&amp;E slides in gastrointestinal stromal tumor (GIST)

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Deep learning predicts patients’ outcome and mutations from H&amp;amp;E slides in Gastrointestinal stromal tumor (GIST)

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Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Intra-patient dose escalation (IPDE) of ripretinib after disease progression in patients with advanced gastrointestinal stromal tumor (GIST): Analyses from the phase 3 INVICTUS study.

1484O Deep learning predicts patients’ outcome and mutations from H&E slides in gastrointestinal stromal tumor (GIST)

Deep learning predicts patients’ outcome and mutations from H&E slides in Gastrointestinal stromal tumor (GIST)