| Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases P Jurmeister, M Bockmayr, P Seegerer, T Bockmayr, D Treue, ... Science Translational Medicine 11 (509), eaaw8513, 2019 | 108 | 2019 |
| Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma P Bischoff, A Trinks, B Obermayer, JP Pett, J Wiederspahn, F Uhlitz, ... Oncogene 40 (50), 6748-6758, 2021 | 89 | 2021 |
| Parallel screening for ALK, MET and ROS1 alterations in non-small cell lung cancer with implications for daily routine testing P Jurmeister, D Lenze, E Berg, S Mende, F Schäper, U Kellner, H Herbst, ... Lung Cancer 87 (2), 122-129, 2015 | 67 | 2015 |
| Artificial intelligence and pathology: from principles to practice and future applications in histomorphology and molecular profiling A Stenzinger, M Alber, M Allgäuer, P Jurmeister, M Bockmayr, J Budczies, ... Seminars in cancer biology 84, 129-143, 2022 | 59 | 2022 |
| ALK-FISH borderline cases in non-small cell lung cancer: implications for diagnostics and clinical decision making M von Laffert, A Stenzinger, M Hummel, W Weichert, D Lenze, A Warth, ... Lung Cancer 90 (3), 465-471, 2015 | 50 | 2015 |
| DNA methylation profiling reliably distinguishes pulmonary enteric adenocarcinoma from metastatic colorectal cancer P Jurmeister, A Schöler, A Arnold, F Klauschen, D Lenze, M Hummel, ... Modern Pathology 32 (6), 855-865, 2019 | 47 | 2019 |
| Use of quantitative T2 mapping for the assessment of renal cell carcinomas: first results LC Adams, KK Bressem, P Jurmeister, UL Fahlenkamp, B Ralla, G Engel, ... Cancer Imaging 19, 1-11, 2019 | 34 | 2019 |
| Prognostic significance of Ki-67 levels and hormone receptor expression in low-grade serous ovarian carcinoma: an investigation of the Tumor Bank Ovarian Cancer Network J Sehouli, EI Braicu, R Richter, C Denkert, P Jank, PS Jurmeister, ... Human Pathology 85, 299-308, 2019 | 34 | 2019 |
| Native T1 mapping as an in vivo biomarker for the identification of higher-grade renal cell carcinoma: correlation with histopathological findings LC Adams, B Ralla, P Jurmeister, KK Bressem, UL Fahlenkamp, B Hamm, ... Investigative radiology 54 (2), 118-128, 2019 | 34 | 2019 |
| A non-interventional clinical trial assessing immune responses after radiofrequency ablation of liver metastases from colorectal cancer MW Löffler, B Nussbaum, G Jäger, PS Jurmeister, J Budczies, PL Pereira, ... Frontiers in immunology 10, 2526, 2019 | 33 | 2019 |
| Next generation sequencing of lung adenocarcinoma subtypes with intestinal differentiation reveals distinct molecular signatures associated with histomorphology and therapeutic … P Jurmeister, C Vollbrecht, A Behnke, N Frost, A Arnold, D Treue, ... Lung Cancer 138, 43-51, 2019 | 31 | 2019 |
| IDH2 R172 mutations across poorly differentiated sinonasal tract malignancies: forty molecularly homogenous and histologically variable cases with favorable outcome S Glöss, P Jurmeister, A Thieme, S Schmid, WY Cai, RN Serrette, ... The American journal of surgical pathology 45 (9), 1190-1204, 2021 | 30 | 2021 |
| DNA methylation-based prediction of response to immune checkpoint inhibition in metastatic melanoma K Filipski, M Scherer, KN Zeiner, A Bucher, J Kleemann, P Jurmeister, ... Journal for immunotherapy of cancer 9 (7), 2021 | 30 | 2021 |
| DNA methylation-based classification of sinonasal tumors P Jurmeister, S Glöß, R Roller, M Leitheiser, S Schmid, LH Mochmann, ... Nature Communications 13 (1), 7148, 2022 | 29 | 2022 |
| Immunohistochemical analysis of Bcl‐2, nuclear S100A4, MITF and Ki67 for risk stratification of early‐stage melanoma–A combined IHC score for melanoma risk stratification P Jurmeister, M Bockmayr, C Treese, U Stein, D Lenze, K Jöhrens, ... JDDG: Journal der Deutschen Dermatologischen Gesellschaft 17 (8), 800-808, 2019 | 24 | 2019 |
| RNA-based analysis of ALK fusions in non-small cell lung cancer cases showing IHC/FISH discordance C Vollbrecht, D Lenze, M Hummel, A Lehmann, M Moebs, N Frost, ... BMC cancer 18, 1-9, 2018 | 23 | 2018 |
| Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation M Leitheiser, D Capper, P Seegerer, A Lehmann, U Schüller, KR Müller, ... The Journal of Pathology 256 (4), 378-387, 2022 | 22 | 2022 |
| Aberrant expression and subcellular localization of ECT2 drives colorectal cancer progression and growth DR Cook, M Kang, TD Martin, JA Galanko, GH Loeza, DG Trembath, ... Cancer research 82 (1), 90-104, 2022 | 22 | 2022 |
| Assessment of the extracellular volume fraction for the grading of clear cell renal cell carcinoma: first results and histopathological findings LC Adams, P Jurmeister, B Ralla, KK Bressem, UL Fahlenkamp, G Engel, ... European radiology 29, 5832-5843, 2019 | 19 | 2019 |
| Interpretable deep neural network to predict estrogen receptor status from haematoxylin-eosin images P Seegerer, A Binder, R Saitenmacher, M Bockmayr, M Alber, ... Artificial Intelligence and Machine Learning for Digital Pathology: State-of …, 2020 | 13 | 2020 |
