@article{UBHD-69339511, author={Ferber, Dyke and W{\"o}lflein, Georg and Wiest, Isabella and Ligero, Marta and Sainath, Srividhya and Ghaffari Laleh, Narmin and El Nahhas, Omar S. M. and M{\"u}ller-Franzes, Gustav and J{\"a}ger, Dirk and Truhn, Daniel and Kather, Jakob Nikolas}, title={In-context learning enables multimodal large language models to classify cancer pathology images}, year={2024}, pages={1-12}, language={eng}, issn={2041-1723}, volume={15}, number={Artikel-ID 10104}, note={Gesehen am 28.04.2025}, journal={Nature Communications}, doi={10.1038/s41467-024-51465-9}, } @article{UBHD-69236349, author={Ferber, Dyke and Kather, Jakob Nikolas}, title={Large language models in uro-oncology}, year={2024}, pages={157-159}, language={eng}, issn={2588-9311}, volume={7}, number={1 vom: Feb.}, note={Online ver{\"o}ffentlicht: 14 October 2023 ; Gesehen am 22.07.2024}, journal={European urology oncology}, doi={10.1016/j.euo.2023.09.019}, } @article{UBHD-69262903, author={Kather, Jakob Nikolas and Ferber, Dyke and Wiest, Isabella and Gilbert, Stephen and Truhn, Daniel}, title={Large language models could make natural language again the universal interface of healthcare}, year={2024}, pages={2708-2710}, language={eng}, issn={1546-170X}, volume={30}, number={10}, note={Online ver{\"o}ffentlicht: 23. August 2024 ; Gesehen am 16.10.2024}, journal={Nature medicine}, doi={10.1038/s41591-024-03199-w}, } @article{UBHD-68373685, author={Kather, Jakob Nikolas and Krisam, Johannes and Charoentong, Pornpimol and Herpel, Esther and Weis, Cleo-Aron Thias and Gaiser, Timo and Marx, Alexander and Valous, Nektarios A. and Ferber, Dyke and Z{\"o}rnig, Inka and J{\"a}ger, Dirk and Brenner, Hermann and Chang-Claude, Jenny and Hoffmeister, Michael and Halama, Niels}, title={Predicting survival from colorectal cancer histology slides using deep learning}, subtitle={a retrospective multicenter study}, year={2019}, pages={22 S.}, language={eng}, issn={1549-1676}, volume={16(2019}, note={Gesehen am 27.03.2019}, journal={PLoS medicine}, doi={10.1371/journal.pmed.1002730}, } @article{UBHD-68328734, author={Kather, Jakob Nikolas and Suarez-Carmona, Meggy and Charoentong, Pornpimol and Weis, Cleo-Aron Thias and Hirsch, Daniela and Ferber, Dyke and Kel, Ivan and Herpel, Esther and Schott, Sarah and Z{\"o}rnig, Inka and Utikal, Jochen and Marx, Alexander and Gaiser, Timo and Brenner, Hermann and Chang-Claude, Jenny and Hoffmeister, Michael and J{\"a}ger, Dirk and Halama, Niels}, title={Topography of cancer-associated immune cells in human solid tumors}, year={2018}, pages={19 S.}, language={eng}, issn={2050-084X}, volume={7}, number={Artikel-ID e36967}, note={Gesehen am 15.11.2018}, journal={eLife}, doi={10.7554/eLife.36967}, } @article{UBHD-69246369, author={Truhn, Daniel and Eckardt, Jan-Niklas and Ferber, Dyke and Kather, Jakob Nikolas}, title={Large language models and multimodal foundation models for precision oncology}, year={2024}, pages={1-4}, language={eng}, issn={2397-768X}, volume={8}, number={Artikel-ID 72}, note={Gesehen am 22.08.2024}, journal={npj precision oncology}, doi={10.1038/s41698-024-00573-2}, } @article{UBHD-69340108, author={Wiest, Isabella and Verhees, Falk Gerrik and Ferber, Dyke and Zhu, Jiefu and Bauer, Michael and Lewitzka, Ute and Pfennig, Andrea and Mikolas, Pavol and Kather, Jakob Nikolas}, title={Detection of suicidality from medical text using privacy-preserving large language models}, subtitle={feature}, year={2024}, pages={532-537}, language={eng}, issn={1472-1465}, volume={225}, number={6}, note={Gesehen am 29.04.2025}, journal={The British journal of psychiatry}, doi={10.1192/bjp.2024.134}, } @article{UBHD-69263867, author={Wiest, Isabella and Ferber, Dyke and Zhu, Jiefu and van Treeck, Marko and Meyer, Sonja K. and Juglan, Radhika and Carrero, Zunamys I. and Paech, Daniel and Kleesiek, Jens Philipp and Ebert, Matthias and Truhn, Daniel and Kather, Jakob Nikolas}, title={Privacy-preserving large language models for structured medical information retrieval}, year={2024}, pages={1-9}, language={eng}, issn={2398-6352}, volume={7}, number={1}, note={Gesehen am 21.10.2024}, journal={npj digital medicine}, doi={10.1038/s41746-024-01233-2}, }