| Single-cell gene regulatory network prediction by explainable AI P Keyl, P Bischoff, G Dernbach, M Bockmayr, R Fritz, D Horst, N Blüthgen, ... Nucleic Acids Research 51 (4), e20-e20, 2023 | 26 | 2023 |
| Patient-level proteomic network prediction by explainable artificial intelligence P Keyl, M Bockmayr, D Heim, G Dernbach, G Montavon, KR Müller, ... NPJ Precision Oncology 6 (1), 35, 2022 | 16 | 2022 |
| RudolfV: a foundation model by pathologists for pathologists J Dippel, B Feulner, T Winterhoff, S Schallenberg, G Dernbach, A Kunft, ... arXiv preprint arXiv:2401.04079, 2024 | 13 | 2024 |
| High-resolution molecular atlas of a lung tumor in 3D TM Pentimalli, S Schallenberg, D León-Periñán, I Legnini, I Theurillat, ... BioRxiv, 2023.05. 10.539644, 2023 | 6 | 2023 |
| Acoustic identification of flat spots on wheels using different machine learning techniques G Dernbach, A Lykartsis, L Sievers, S Weinzierl Technische Universität Berlin, 2020 | 3 | 2020 |
| Dissecting AI-based mutation prediction in lung adenocarcinoma: a comprehensive real-world study G Dernbach, D Kazdal, L Ruff, M Alber, E Romanovsky, S Schallenberg, ... European Journal of Cancer, 114292, 2024 | | 2024 |
| Spatial heterogeneity of tumor cells and the tissue microenvironment in oral squamous cell carcinoma C Steffen, S Schallenberg, G Dernbach, A Dielmann, MP Dragomir, ... Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 137 (4), 379-390, 2024 | | 2024 |
| AI-driven, mIF-based cell-omics reveals spatially resolved cell signature for outcome prediction in NSCLC patients S Schallenberg, G Dernbach, S Ruane, C Böhm, L Ruff, K Standvoss, ... Cancer Research 84 (6_Supplement), 5222-5222, 2024 | | 2024 |
| TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading S Schallenberg, G Dernbach, MP Dragomir, G Schlachtenberger, ... European Journal of Cancer 197, 113474, 2024 | | 2024 |
| 970 Multiplex-immunofluorescence-based spatial characterization of the tumor-microenvironment of a large bicentric clinical non-small cell lung cancer cohort S Schallenberg, G Dernbach, S Ruane, C Böhm, L Ruff, K Standvoss, ... 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 |
| Extensive spatial characterisation of the tumour-microenvironment in a large clinical non-small cell lung cancer cohort and correlation with clinical and pathological parameters S Ruane, S Schallenberg, C Boehm, G Dernbach, M Gottschalk, N Aldoj, ... VIRCHOWS ARCHIV 481 (SUPPL 1), S60-S60, 2022 | | 2022 |
| Immunohistochemistry-informed AI systems for improved characterization of tumor-microenvironment in clinical non-small cell lung cancer H&E samples T Mrowiec, S Ruane, S Schallenberg, G Dernbach, R Todorova, C Böhm, ... Cancer Research 82 (12_Supplement), 457-457, 2022 | | 2022 |
| Acoustic Identification of Flat Spots On Wheels Using Different Machine Learning Techniques Gabriel Dernbach1, Athanasios Lykartsis1, Leon Sievers2, Stefan Weinzierl1 G Dernbach, A Lykartsis, L Sievers, S Weinzierl | | |
