Jan C. Peeken

oDigital pathology biomarkers for guiding radiotherapy-based treatment concepts in prostate cancer − a systematic review and expert consensus

Biomarkers in prostate cancer: current status and future directions in radiotherapy—statement from the Prostate Cancer Working Group of the German Society of Radiation Oncology (DEGRO)

Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives

Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy

Imaging meningioma biology: Machine learning predicts integrated risk score in WHO grade 2/3 meningioma

CT-based radiomics for predicting breast cancer radiotherapy side effects

European association of urology risk stratification predicts outcome in patients receiving PSMA-PET-planned salvage radiotherapy for biochemical recurrence following radical prostatectomy

Influence of brain metastases on the classification, treatment, and outcome of patients with extracranial oligometastasis: a single-center cross-sectional analysis

Pneumonitis after normofractionated radioimmunotherapy: a method for dosimetric evaluation

Development and Validation of a Multi-institutional Nomogram of Outcomes for PSMA-PET–Based Salvage Radiotherapy for Recurrent Prostate Cancer

The prognostic significance of a negative PSMA-PET scan prior to salvage radiotherapy following radical prostatectomy

PSMA-PET/CT-guided salvage radiotherapy in recurrent or persistent prostate cancer and PSA < 0.2 ng/ml

Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy

Salvage radiotherapy is effective in patients with PSMA-PET-negative biochemical recurrence- results of a retrospective study

Identifying core MRI sequences for reliable automatic brain metastasis segmentation

Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas

The importance of planning CT-based imaging features for machine learning-based prediction of pain response

Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients

Identifying core MRI sequences for reliable automatic brain metastasis segmentation

Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models

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

The maximum standardized uptake value in patients with recurrent or persistent prostate cancer after radical prostatectomy and PSMA-PET-guided salvage radiotherapy—a multicenter retrospective analysis

Development and external validation of an MRI-based neural network for brain metastasis segmentation in the AURORA multicenter study

Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCC

Biomarker signatures for primary radiochemotherapy of locally advanced HNSCC – Hypothesis generation on a multicentre cohort of the DKTK-ROG

Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma

Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC

Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma

Epigenetic regulation of NFE2 overexpression in myeloproliferative neoplasms