| Cellvit: Vision transformers for precise cell segmentation and classification F Hörst, M Rempe, L Heine, C Seibold, J Keyl, G Baldini, S Ugurel, ... Medical Image Analysis 94, 103143, 2024 | 13 | 2024 |
| Deep learning‐based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer J Keyl, R Hosch, A Berger, O Ester, T Greiner, S Bogner, J Treckmann, ... Journal of cachexia, sarcopenia and muscle 14 (1), 545-552, 2023 | 9 | 2023 |
| Multimodal survival prediction in advanced pancreatic cancer using machine learning J Keyl, S Kasper, M Wiesweg, J Götze, M Schönrock, M Sinn, A Berger, ... ESMO open 7 (5), 100555, 2022 | 9 | 2022 |
| MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ... arXiv preprint arXiv:2308.16139, 2023 | 7 | 2023 |
| Deep Learning–driven classification of external DICOM studies for PACS archiving F Jonske, M Dederichs, MS Kim, J Keyl, J Egger, L Umutlu, M Forsting, ... European radiology 32 (12), 8769-8776, 2022 | 5 | 2022 |
| Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology O Ester, F Hörst, C Seibold, J Keyl, S Ting, N Vasileiadis, J Schmitz, ... Computerized Medical Imaging and Graphics 107, 102238, 2023 | 3 | 2023 |
| Bispecific antibodies redirect synthetic agonistic receptor modified T cells against melanoma F Märkl, MR Benmebarek, J Keyl, BL Cadilha, M Geiger, C Karches, ... Journal for ImmunoTherapy of Cancer 11 (5), 2023 | 3 | 2023 |
| A Meta-Review about Medical 3D Printing M Meister, G Luijten, C Gsaxner, K Xie, LJ Gruber, J Li, A Pepe, Y Li, ... medRxiv, 2024.04. 11.23300674, 2024 | | 2024 |
| Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study J Keyl, A Bucher, F Jungmann, R Hosch, A Ziller, R Armbruster, ... ESMO open 9 (1), 102219, 2024 | | 2024 |
| 1294 External validation of machine learning models to predict efficacy and toxicity of immune checkpoint inhibitors using real-world pan cancer cohorts Z Kiss, L Lippenszky, B Laczi, P Napan-Molina, E Csernai, A Brehmer, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence J Keyl, P Keyl, G Montavon, R Hosch, A Brehmer, L Mochmann, ... medRxiv, 2023.10. 12.23296873, 2023 | | 2023 |
| 1457P Oligometastatic non-small cell lung cancer: Impact of local and systemic treatment approaches on clinical outcome M Wiesweg, C Küter, J Schnorbach, J Keyl, T Plönes, M Metzenmacher, ... Annals of Oncology 34, S828, 2023 | | 2023 |
| 09.02 Bispecific antibodies enable synthetic agonistic receptor T cell therapy in melanoma M Benmebarek, F Märkl, J Keyl, B Cadilha, M Geiger, C Karches, H Obeck, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 1), 2022 | | 2022 |
| Synthetic agonistic receptor T-Zellen in Kombination mit den bispezifischen Antikörpern anti-EGFRvIII x anti-TYRP1 und anti-EGFRvIII x anti-MCSP zur Behandlung maligner … J Keyl lmu, 2021 | | 2021 |
| P06. 03 Bispecific antibody-driven synthetic agonistic receptor engineered T cells lead to specific and conditional therapy in melanoma cancer models M Benmebarek, F Märkl, J Keyl, BL Cadilha, M Geiger, C Karches, ... Journal for ImmunoTherapy of Cancer 9 (Suppl 1), 2021 | | 2021 |
| P06. 01 Bispecific antibody-driven synthetic agonistic receptor–transduced T cells mediate specific and conditional therapy in melanoma cancer models M Benmebarek, J Keyl, F Märkl, M Geiger, C Karches, S Rausch, ... Journal for ImmunoTherapy of Cancer 8 (Suppl 2), 2020 | | 2020 |
| Mesothelin-targeted bispecific antibodies drive synthetic agonistic receptor–Transduced T cells to mediate specific and conditional therapy of human pancreatic cancer models M Benmebarek, C Karches, M Schmidbauer, M Kurzay, R Klaus, M Geiger, ... European Journal of Cancer 92, S20, 2018 | | 2018 |
| Establishing Medical Intelligence-Leveraging FHIR to Improve Clinical Management A Brehmer, CM Sauer, J Salazar, K Hermmann, M Kim, J Keyl, ... | | |
