Jan C. Peeken - Concepedia

Author

Jan C. Peeken

Also Known As

Brandt, Johannes, Carolin Mogler, Dr. Jan C. Peeken, J. C. Peeken, J. Peeken, J.C. Peeken, JAN C. PEEKEN, Jan Caspar Peeken, Jan C Peeken, Jan C. Peeken

194

Publications

2.2K

Citations

H-Index

Concepts

All Affiliations

Technical University of Munich Helmholtz Zentrum München Klinikum rechts der Isar Deutschen Konsortium für Translationale Krebsforschung German Marine Research Consortium

About

Jan C. Peeken is an author at Technical University of Munich specializing in radiology, oncology, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Health Sciences	8	8	330
2	Medicine	8	8	389
3	Engineering	7	7	237
4	Computer Science	3	3	52
5	Cell Biology	1	1	77

Jan C. Peeken

Publications

1.5K

Citations

H-Index

Page 1

	Year	Citations
Tumor grading of soft tissue sarcomas using MRI-based radiomics Jan C. Peeken, Matthew B. Spraker, Carolin Knebel, EBioMedicine	2019	117
CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy Jan C. Peeken, Michael Bernhofer, Matthew B. Spraker, Radiotherapy and Oncology Adaptive RadiotherapyMedical ImagingRadiation TherapyTumor GradingCt-based Radiomic Features	2019	81
MPN patients harbor recurrent truncating mutations in transcription factor NF-E2 Jonas S. Jutzi, Ruzhica Bogeska, Gorica Nikoloski, The Journal of Experimental Medicine Transcriptional RegulationSystems BiologyTranscription Factor Nf-e2EngineeringSomatic Variant	2013	77
MRI Radiomic Features Are Independently Associated With Overall Survival in Soft Tissue Sarcoma Matthew B. Spraker, Landon S. Wootton, Daniel S. Hippe, Advances in Radiation Oncology Medical ImagingSoft Tissue SarcomaOverall SurvivalRadiomicsRadiologic Imaging	2019	74
MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy Jan C. Peeken, Rebecca Asadpour, Katja Specht, Radiotherapy and Oncology Surgical OncologyRadiation TherapyNeoadjuvant TherapyMedicinePathology	2021	73
Matched-Pair Comparison of <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-rhPSMA-7 PET/CT in Patients with Primary and Biochemical Recurrence of Prostate Cancer: Frequency of Non–Tumor-Related Uptake and Tumor Positivity Markus Kroenke, Lilit Mirzoyan, Thomas Horn, Journal of Nuclear Medicine	2020	67
Combining multimodal imaging and treatment features improves machine learning‐based prognostic assessment in patients with glioblastoma multiforme Jan C. Peeken, Tatyana Goldberg, Thomas Pyka, Cancer Medicine	2018	66
2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma Sebastian Starke, Stefan Leger, Alex Zwanenburg, Scientific Reports	2020	58
Development and External Validation of Deep-Learning-Based Tumor Grading Models in Soft-Tissue Sarcoma Patients Using MR Imaging Fernando Navarro, Hendrik Dapper, Rebecca Asadpour, Cancers	2021	57
Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients Jan C. Peeken, Josefine Hesse, Bernhard Haller, Strahlentherapie und Onkologie EngineeringOncologic ImagingDisease ProgressionHigh-grade GliomasGlioma	2018	52

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