Search Results - El Nahhas, Omar S. M.

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  1. 1
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    From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology by El Nahhas, Omar S. M. (Author) , Treeck, Marko van (Author) , Wölflein, Georg (Author) , Unger, Michaela (Author) , Försch, Sebastian (Author) , Lenz, Tim (Author) , Wagner, Sophia J. (Author) , Hewitt, Katherine J. (Author) , Khader, Firas (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,


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  2. 2
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    Artificial intelligence-based biomarkers for treatment decisions in oncology by Ligero, Marta (Author) , El Nahhas, Omar S. M. (Author) , Aldea, Mihaela (Author) , Kather, Jakob Nikolas (Author) ,


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  3. 3
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    Multimodal histopathologic models stratify hormone receptor-positive early breast cancer by Boehm, Kevin (Author) , El Nahhas, Omar S. M. (Author) , Marra, Antonio (Author) , Waters, Michele (Author) , Jee, Justin (Author) , Braunstein, Lior (Author) , Schultz, Nikolaus (Author) , Selenica, Pier (Author) , Wen, Hannah Y. (Author) , Weigelt, Britta (Author) , Paul, Evan D. (Author) , Cekan, Pavol (Author) , Erber, Ramona (Author) , Loeffler, Chiara M. L. (Author) , Guerini-Rocco, Elena (Author) , Fusco, Nicola (Author) , Frascarelli, Chiara (Author) , Mane, Eltjona (Author) , Munzone, Elisabetta (Author) , Dellapasqua, Silvia (Author) , Zagami, Paola (Author) , Curigliano, Giuseppe (Author) , Razavi, Pedram (Author) , Reis-Filho, Jorge S. (Author) , Pareja, Fresia (Author) , Chandarlapaty, Sarat (Author) , Shah, Sohrab P. (Author) , Kather, Jakob Nikolas (Author) ,


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  4. 4
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    Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology by Ferber, Dyke (Author) , El Nahhas, Omar S. M. (Author) , Wölflein, Georg (Author) , Wiest, Isabella (Author) , Clusmann, Jan (Author) , Leßmann, Marie-Elisabeth (Author) , Foersch, Sebastian (Author) , Lammert, Jacqueline (Author) , Tschochohei, Maximilian (Author) , Jäger, Dirk (Author) , Salto-Tellez, Manuel (Author) , Schultz, Nikolaus (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,


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  5. 5
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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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  6. 6
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    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. 7
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    In-context learning enables multimodal large language models to classify cancer pathology images by Ferber, Dyke (Author) , Wölflein, Georg (Author) , Wiest, Isabella (Author) , Ligero, Marta (Author) , Sainath, Srividhya (Author) , Ghaffari Laleh, Narmin (Author) , El Nahhas, Omar S. M. (Author) , Müller-Franzes, Gustav (Author) , Jäger, Dirk (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,


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