Arjen van der Schaaf

About Arjen van der Schaaf

Arjen van der Schaaf, With an exceptional h-index of 32 and a recent h-index of 25 (since 2020), a distinguished researcher at Rijksuniversiteit Groningen, specializes in the field of medical physics, radiotherapy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Late-xerostomia prediction model based on 18F-FDG PET image biomarkers of the main salivary glands

External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts

Prioritizing Toxicities in Automated Outcome-Directed Treatment Plan Optimization

CT‐based deep multi‐label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma

An efficient strategy to select head and neck cancer patients for adaptive radiotherapy

External validation of NTCP-models for radiation pneumonitis in lung cancer patients treated with chemoradiotherapy

OC-0109 Functional dose to the parotid gland: a new regional based dose metric in NTCP models for xerostomia

PO-2107 Challenges in international real world evidence research collaboration. The PREDMORN experience

Arjen van der Schaaf Information

University

Position

Medical Physicist, University Medical Center Groningen

Citations(all)

5271

Citations(since 2020)

2514

Cited By

3652

hIndex(all)

32

hIndex(since 2020)

25

i10Index(all)

55

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Arjen van der Schaaf Skills & Research Interests

medical physics

radiotherapy

Top articles of Arjen van der Schaaf

Late-xerostomia prediction model based on 18F-FDG PET image biomarkers of the main salivary glands

Radiotherapy and Oncology

2024/5/1

Yan Li
Yan Li

H-Index: 14

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts

Radiotherapy and Oncology

2024/1/1

Prioritizing Toxicities in Automated Outcome-Directed Treatment Plan Optimization

International Journal of Radiation Oncology, Biology, Physics

2023/10/1

CT‐based deep multi‐label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma

Medical Physics

2023/10

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

Lisanne V Van Dijk
Lisanne V Van Dijk

H-Index: 15

An efficient strategy to select head and neck cancer patients for adaptive radiotherapy

Radiotherapy and Oncology

2023/9/1

Yong Gan
Yong Gan

H-Index: 23

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

External validation of NTCP-models for radiation pneumonitis in lung cancer patients treated with chemoradiotherapy

Radiotherapy and Oncology

2023/9/1

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

OC-0109 Functional dose to the parotid gland: a new regional based dose metric in NTCP models for xerostomia

2023/5/13

PO-2107 Challenges in international real world evidence research collaboration. The PREDMORN experience

Radiotherapy and Oncology

2023/5/1

The relation between prediction model performance measures and patient selection outcomes for proton therapy in head and neck cancer

Radiotherapy and Oncology

2023/2/1

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

Ewoud Schuit
Ewoud Schuit

H-Index: 27

Prediction of Radiation-Induced Parotid Gland-Related Xerostomia in Patients With Head and Neck Cancer: Regeneration-Weighted Dose

International Journal of Radiation Oncology* Biology* Physics

2023/11/1

Ewoud Schuit
Ewoud Schuit

H-Index: 27

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

Reducing the Risk of Post-RT Aspiration by Sparing Specific Aspiration Related Organs at Risk

International Journal of Radiation Oncology, Biology, Physics

2023/10/1

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods

Diagnostic and prognostic research

2022/1/11

Protocol Letter: A multi-institutional retrospective case-control cohort investigating PREDiction models for mandibular OsteoRadioNecrosis in head and neck cancer (PREDMORN)

Radiotherapy and Oncology

2022/11/1

Relatieve bijdrage van bestralingsdosis op stamcelrijke en niet-stamcelrijke regio binnen de glandula parotis in het voorspellen van xerostomie bij hoofd-halskankerpatiënten

2022/9/23

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

In Reply to Kashid et al.

International Journal of Radiation Oncology, Biology, Physics

2022/7/15

Arjen Van Der Schaaf
Arjen Van Der Schaaf

H-Index: 23

External validation of a prediction model for two-year mortality in esophageal cancer cohorts

Radiotherapy and Oncology

2022/5

External Validation of NTCP-models for Acute Coronary Events after Breast Cancer Radiotherapy

Radiotherapy and Oncology

2022/5

External validation of osteoradionecrosis NTCP models in head and neck cancer patients

Radiotherapy and Oncology

2022/5

A federated learning IT-infrastructure to support the Dutch model-based approach for proton therapy

Radiotherapy and Oncology

2022/5

Simple strategy to select head and neck cancer patients for adaptive radiotherapy in the first week

Radiotherapy and Oncology

2022/5

See List of Professors in Arjen van der Schaaf University(Rijksuniversiteit Groningen)

Co-Authors

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