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Jan C. Peeken
Jan C. Peeken
Group Leader "Artificial Intelligence and Radiomics in Radiation Oncology", Technical University of Munich and Institute of Radiation Medicine, Helmholtz Zentrum München
Verified email at tum.de
Title
Cited by
Cited by
Year
Integrating hyperthermia into modern radiation oncology: what evidence is necessary?
JC Peeken, P Vaupel, SE Combs
Frontiers in oncology 7, 132, 2017
1652017
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
942018
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
932019
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
862013
„Radio-oncomics “ Das Potenzial von Radiomics in der Strahlenonkologie
JC Peeken, F Nüsslin, SE Combs
Strahlentherapie und Onkologie 193, 767-779, 2017
732017
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
712019
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
652019
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
632019
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
562019
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
512021
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
512018
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
452021
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
402018
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
392019
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
382021
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
382020
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
382020
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
372020
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
342021
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
342021
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