| Integrating hyperthermia into modern radiation oncology: what evidence is necessary? JC Peeken, P Vaupel, SE Combs Frontiers in oncology 7, 132, 2017 | 166 | 2017 |
| Radiomics in radiooncology–challenging the medical physicist JC Peeken, M Bernhofer, B Wiestler, T Goldberg, D Cremers, B Rost, ... Physica medica 48, 27-36, 2018 | 96 | 2018 |
| Tumor grading of soft tissue sarcomas using MRI-based radiomics JC Peeken, MB Spraker, C Knebel, H Dapper, D Pfeiffer, M Devecka, ... EBioMedicine 48, 332-340, 2019 | 94 | 2019 |
| MPN patients harbor recurrent truncating mutations in transcription factor NF-E2 JS Jutzi, R Bogeska, G Nikoloski, CA Schmid, TS Seeger, F Stegelmann, ... Journal of Experimental Medicine 210 (5), 1003-1019, 2013 | 86 | 2013 |
| „Radio-oncomics “ Das Potenzial von Radiomics in der Strahlenonkologie JC Peeken, F Nüsslin, SE Combs Strahlentherapie und Onkologie 193, 767-779, 2017 | 74 | 2017 |
| CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy JC Peeken, M Bernhofer, MB Spraker, D Pfeiffer, M Devecka, A Thamer, ... Radiotherapy and Oncology 135, 187-196, 2019 | 71 | 2019 |
| MRI radiomic features are independently associated with overall survival in soft tissue sarcoma MB Spraker, LS Wootton, DS Hippe, KC Ball, JC Peeken, MW Macomber, ... Advances in radiation oncology 4 (2), 413-421, 2019 | 65 | 2019 |
| Shape-aware complementary-task learning for multi-organ segmentation F Navarro, S Shit, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 65 | 2019 |
| Combining multimodal imaging and treatment features improves machine learning‐based prognostic assessment in patients with glioblastoma multiforme JC Peeken, T Goldberg, T Pyka, M Bernhofer, B Wiestler, KA Kessel, ... Cancer medicine 8 (1), 128-136, 2019 | 56 | 2019 |
| Matched-pair comparison of 68ga-Psma-11 and 18f-Rhpsma-7 Pet/Ct in patients with primary and biochemical recurrence of prostate cancer: frequency of non–tumor-related uptake … M Kroenke, L Mirzoyan, T Horn, JC Peeken, A Wurzer, HJ Wester, ... Journal of Nuclear Medicine 62 (8), 1082-1088, 2021 | 52 | 2021 |
| Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients JC Peeken, J Hesse, B Haller, KA Kessel, F Nüsslin, SE Combs Strahlentherapie und Onkologie 194 (6), 580-590, 2018 | 51 | 2018 |
| MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy JC Peeken, R Asadpour, K Specht, EY Chen, O Klymenko, V Akinkuoroye, ... Radiotherapy and Oncology 164, 73-82, 2021 | 47 | 2021 |
| Epigenetic regulation of NFE2 overexpression in myeloproliferative neoplasms JC Peeken, JS Jutzi, J Wehrle, C Koellerer, HF Staehle, H Becker, ... Blood, The Journal of the American Society of Hematology 131 (18), 2065-2073, 2018 | 40 | 2018 |
| Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy JC Peeken, M Molina-Romero, C Diehl, BH Menze, C Straube, B Meyer, ... Radiotherapy and Oncology 138, 166-172, 2019 | 39 | 2019 |
| Development and external validation of deep-learning-based tumor grading models in soft-tissue sarcoma patients using MR imaging F Navarro, H Dapper, R Asadpour, C Knebel, MB Spraker, V Schwarze, ... Cancers 13 (12), 2866, 2021 | 38 | 2021 |
| A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients JC Peeken, MA Shouman, M Kroenke, I Rauscher, T Maurer, ... European journal of nuclear medicine and molecular imaging 47, 2968-2977, 2020 | 38 | 2020 |
| 2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma S Starke, S Leger, A Zwanenburg, K Leger, F Lohaus, A Linge, ... Scientific reports 10 (1), 15625, 2020 | 38 | 2020 |
| Deep reinforcement learning for organ localization in CT F Navarro, A Sekuboyina, D Waldmannstetter, JC Peeken, SE Combs, ... Medical Imaging with Deep Learning, 544-554, 2020 | 38 | 2020 |
| Deep learning based HPV status prediction for oropharyngeal cancer patients DM Lang, JC Peeken, SE Combs, JJ Wilkens, S Bartzsch Cancers 13 (4), 786, 2021 | 35 | 2021 |
| Prognostic assessment in high-grade soft-tissue sarcoma patients: a comparison of semantic image analysis and radiomics JC Peeken, J Neumann, R Asadpour, Y Leonhardt, JR Moreira, DS Hippe, ... Cancers 13 (8), 1929, 2021 | 34 | 2021 |
