Not logged inEarly versus late response to PD-1-based immunotherapy in metastatic melanoma
Lodde, Georg C.; Zhao, Fang; Herbst, Rudolf; Terheyden, Patrick; Utikal, Jochen; Pfoehler, Claudia; Ulrich, Jens; Kreuter, Alexander; Mohr, Peter; Gutzmer, Ralf; Meier, Friedegund; Dippel, Edgar; Weichenthal, Michael; Jansen, Philipp; Kowall, Bernd; Galetzka, Wolfgang; Hoerst, Fabian; Kleesiek, Jens; Hellwig, Birte; Rahnenfuehrer, Jorg; Rajcsanyi, Luisa; Peters, Triinu; Hinney, Anke; Placke, Jan-Malte; Sucker, Antje; Paschen, Annette; Becker, Juergen C.; Livingstone, Elisabeth; Zimmer, Lisa; Tasdogan, Alpaslan; Roesch, Alexander; Hadaschik, Eva; Schadendorf, Dirk; Griewank, Klaus; Ugurel, Selma .png)
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SaveCyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesRaufeisen, Johannes; Xie, Kunpeng; Hoerst, Fabian; Braunschweig, Till; Li, Jianning; Kleesiek, Jens; Roehrig, Rainer; Egger, Jan; Leibe, Bastian; Hoelzle, Frank; Hermans, Alexander; Puladi, Behrus Share Save CellViT: Vision Transformers for precise cell segmentation and classificationHoerst, Fabian; Rempe, Moritz; Heine, Lukas; Seibold, Constantin; Keyl, Julius; Baldini, Giulia; Ugurel, Selma; Siveke, Jens; Gruenwald, Barbara; Egger, Jan; Kleesiek, Jens Share Save Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep LearningHoerst, Fabian; Ting, Saskia; Liffers, Sven-Thorsten; Pomykala, Kelsey L.; Steiger, Katja; Albertsmeier, Markus; Angele, Martin K.; Lorenzen, Sylvie; Quante, Michael; Weichert, Wilko; Egger, Jan; Siveke, Jens T.; Kleesiek, Jens Share Save Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathologyEster, Oliver; Hoerst, Fabian; Seibold, Constantin; Keyl, Julius; Ting, Saskia; Vasileiadis, Nikolaos; Schmitz, Jessica; Ivanyi, Philipp; Gruenwald, Viktor; Braesen, Jan Hinrich; Egger, Jan; Kleesiek, Jens Share Save 
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