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Jan Caspar Peeken (1989-)

Arzt

Name	Jan Caspar Peeken
Zeit	1989- (Lebensdaten)
Ort	Aachen (Geburtsort) Deutschland
Akademischer Grad bzw. Titel	Dr. med. (Albert-Ludwigs-Universität Freiburg i.Br.) (2018)
Beruf	Arzt (charakteristischer Beruf)
Variante	Jan C. Peeken Jan Peeken
Weitere Angaben	Habil. Fach Radioonkologie und Strahlentherapie an der Techn. Univ. München
Datensatztyp	Person
GND-Nummer	1162502509
Datensatz-ID	1162502509
Beteiligt an alle anzeigen The risk of second malignancies following prostate cancer radiotherapy in the era of conformal radiotherapy: a statement of 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 Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models European association of urology risk stratification predicts outcome in patients receiving PSMA-PET-planned salvage radiotherapy for biochemical recurrence following radical prostatectomy European Association of Urology risk stratification predicts outcome in patients receiving PSMA-PET-planned salvage radiotherapy for biochemical recurrence following radical prostatectomy Prostate cancer and elective nodal radiation therapy for cN0 and pN0—a never ending story? : : Recommendations from the prostate cancer expert panel of the German Society of Radiation Oncology (DEGRO) Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy The importance of planning CT-based imaging features for machine learning-based prediction of pain response The prognostic significance of a negative PSMA-PET scan prior to salvage radiotherapy following radical prostatectomy Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy PSMA-PET/CT-guided salvage radiotherapy in recurrent or persistent prostate cancer and PSA < 0.2 ng/ml Outcome of patients with soft tissue sarcomas of the extremities and trunk treated by (neo)adjuvant intensity modulated radiation therapy with curative intent Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas Development and validation of a multi-institutional nomogram of outcomes for PSMA-PET–based salvage radiotherapy for recurrent prostate cancer Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy Identifying core MRI sequences for reliable automatic brain metastasis segmentation The histone demethylase JMJD2C constitutes a novel NFE2 target gene that is required for the survival of JAK2V617F mutated cells Incidental nodal irradiation in patients with esophageal cancer undergoing (chemo)radiation with 3D-CRT or VMAT Influence of radiation treatment technique (IMRT vs. 3D-RT) on acute toxicity and prognostic factors for survival for anal cancer Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCC 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 Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models 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 A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients Dosimetric comparison of organs at risk using different contouring guidelines for definition of the clinical target volume in anal cancer 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 Radiomics - mögliche Anwendungen von maschinellem Lernen und quantitativer Bildanalyse in der Radioonkologie 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 Neoadjuvant image-guided helical intensity modulated radiotherapy of extremity sarcomas – a single center experience Impact of VMAT-IMRT compared to 3D conformal radiotherapy on anal sphincter dose distribution in neoadjuvant chemoradiation of rectal cancer Dosimetric comparison of different radiation techniques (IMRT vs. 3-dimensional) of the “true” (deep) ano-inguinal lymphatic drainage of anal cancer patients Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients Characterization of JMJD1C and JMJD2C as novel NF-E2 target genes and their contribution to MPN pathophysiology “Radio-oncomics” : The potential of radiomics in radiation oncology

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Katalog der Deutschen Nationalbibliothek

Jan Caspar Peeken (1989-)

The risk of second malignancies following prostate cancer radiotherapy in the era of conformal radiotherapy: a statement of 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

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

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

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

Prostate cancer and elective nodal radiation therapy for cN0 and pN0—a never ending story? : : Recommendations from the prostate cancer expert panel of the German Society of Radiation Oncology (DEGRO)

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

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

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

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

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

Outcome of patients with soft tissue sarcomas of the extremities and trunk treated by (neo)adjuvant intensity modulated radiation therapy with curative intent

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

Development and validation of a multi-institutional nomogram of outcomes for PSMA-PET–based salvage radiotherapy for recurrent prostate cancer

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

Identifying core MRI sequences for reliable automatic brain metastasis segmentation

The histone demethylase JMJD2C constitutes a novel NFE2 target gene that is required for the survival of JAK2V617F mutated cells

Incidental nodal irradiation in patients with esophageal cancer undergoing (chemo)radiation with 3D-CRT or VMAT

Influence of radiation treatment technique (IMRT vs. 3D-RT) on acute toxicity and prognostic factors for survival for anal cancer

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

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

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

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

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

A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients

Dosimetric comparison of organs at risk using different contouring guidelines for definition of the clinical target volume in anal cancer

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

Radiomics - mögliche Anwendungen von maschinellem Lernen und quantitativer Bildanalyse in der Radioonkologie

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

Neoadjuvant image-guided helical intensity modulated radiotherapy of extremity sarcomas – a single center experience

Impact of VMAT-IMRT compared to 3D conformal radiotherapy on anal sphincter dose distribution in neoadjuvant chemoradiation of rectal cancer

Dosimetric comparison of different radiation techniques (IMRT vs. 3-dimensional) of the “true” (deep) ano-inguinal lymphatic drainage of anal cancer patients

Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients

Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients

Characterization of JMJD1C and JMJD2C as novel NF-E2 target genes and their contribution to MPN pathophysiology

“Radio-oncomics” : The potential of radiomics in radiation oncology