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Jan C. Peeken

Observed names: Dr. Jan C. Peeken, J C Peeken, J Peeken, J. C. Peeken, J. Peeken, J.C. Peeken, JAN C. PEEKEN, Jan Caspar Peeken, Jan C Peeken, Jan Caspar Peeken, Jan Peeken, Peeken, J C, Peeken, J. C., Peeken, J.C., Peeken, Jan, Peeken, Jan C, Peeken, Jan C., Peeken, Jan C; https://orcid.org/0000-0003-2679-9853, Peeken, Jan Caspar, Peeken, Jan Caspar 1989-
Observed institutions: University of Freiburg, German Cancer Research Center, University of Washington, University Medical Center Freiburg, TUM Klinikum, Helmholtz Munich, Maastricht University, Klinik und Poliklinik für Strahlentherapie und Radioonkologie, Deutsches Konsortium für Translationale Krebsforschung, Technical University of Munich
ORCID: 0000-0003-2679-9853
Observed ORCID: 0000-0003-2679-9853
OpenAlex ID: A5073740173
Integrating Hyperthermia into Modern Radiation Oncology: What Evidence Is Necessary?
2017 · Jan C. Peeken, Peter Vaupel, et al. · Frontiers in Oncology · 159
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Tumor grading of soft tissue sarcomas using MRI-based radiomics
2019 · Jan C. Peeken, Matthew B. Spraker, et al. · EBioMedicine · 122
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Radiomics in radiooncology – Challenging the medical physicist
2018 · Jan C. Peeken, Michael Bernhofer, et al. · Physica Medica · 98
CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy
2019 · Jan C. Peeken, Michael Bernhofer, et al. · Radiotherapy and Oncology · 81
MPN patients harbor recurrent truncating mutations in transcription factor NF-E2
2013 · Jonas S. Jutzi, Ruzhica Bogeska, et al. · The Journal of Experimental Medicine · 77
MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy
2021 · Jan C. Peeken, Rebecca Asadpour, et al. · Radiotherapy and Oncology · 73
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MRI Radiomic Features Are Independently Associated With Overall Survival in Soft Tissue Sarcoma
2019 · Matthew B. Spraker, Landon S. Wootton, et al. · Advances in Radiation Oncology · 72
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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 and Tumor Positivity
2020 · Markus Kroenke, Lilit Mirzoyan, et al. · Journal of Nuclear Medicine · 68
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Combining multimodal imaging and treatment features improves machine learning‐based prognostic assessment in patients with glioblastoma multiforme
2018 · Jan C. Peeken, Tatyana Goldberg, et al. · Cancer Medicine · 67
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“Radio-oncomics”
2017 · Jan Caspar Peeken, Fridtjof Nüsslin, et al. · Strahlentherapie und Onkologie · 66
Development and External Validation of Deep-Learning-Based Tumor Grading Models in Soft-Tissue Sarcoma Patients Using MR Imaging
2021 · Fernando Navarro, Hendrik Dapper, et al. · Cancers · 65
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2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
2020 · Sebastian Starke, Stefan Leger, et al. · Scientific Reports · 57
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Shape-Aware Complementary-Task Learning for Multi-organ Segmentation
2019 · Fernando Navarro, Suprosanna Shit, et al. · Lecture notes in computer science · 57
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Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
2024 · Ayhan Can Erdur, Daniel Rusche, et al. · Strahlentherapie und Onkologie · 53
A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients
2020 · Jan C. Peeken, Mohamed A. Shouman, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 53
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Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients
2018 · Jan C. Peeken, Josefine Hesse, et al. · Strahlentherapie und Onkologie · 51
Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy
2019 · Jan C. Peeken, Miguel Molina-Romero, et al. · Radiotherapy and Oncology · 45
Epigenetic regulation of NFE2 overexpression in myeloproliferative neoplasms
2018 · Jan C. Peeken, Jonas S. Jutzi, et al. · Blood · 45
Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
2022 · Iram Shahzadi, Alex Zwanenburg, et al. · Scientific Reports · 43
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Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics
2021 · Jan C. Peeken, Jan Neumann, et al. · Cancers · 39
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Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition
2023 · Kim Melanie Kraus, Maksym Oreshko, et al. · Frontiers in Oncology · 34
Metastasis-Free Survival and Patterns of Distant Metastatic Disease After Prostate-Specific Membrane Antigen Positron Emission Tomography (PSMA-PET)-Guided Salvage Radiation Therapy in Recurrent or Persistent Prostate Cancer After Prostatectomy
2022 · Constantinos Zamboglou, Iosif Strouthos, et al. · International Journal of Radiation Oncology*Biology*Physics · 33
Have we achieved adequate recommendations for target volume definitions in anal cancer? A PET imaging based patterns of failure analysis in the context of established contouring guidelines
2019 · Hendrik Dapper, Kilian Schiller, et al. · BMC Cancer · 33
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Development and external validation of an MRI-based neural network for brain metastasis segmentation in the AURORA multicenter study
2022 · Josef A. Buchner, Florian Kofler, et al. · Radiotherapy and Oncology · 31
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Impact of VMAT-IMRT compared to 3D conformal radiotherapy on anal sphincter dose distribution in neoadjuvant chemoradiation of rectal cancer
2018 · Hendrik Dapper, Iván Rodríguez, et al. · Radiation Oncology · 31
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Works count: 266
Citation count: 2,417
H-index: 28
I10-index: 59
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