Ben J M Heijmen
Overview
Explore the profile of Ben J M Heijmen including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
126
Citations
1996
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
21.
Cozzi L, Heijmen B, Muren L
Phys Imaging Radiat Oncol
. 2021 Jan;
11:69-70.
PMID: 33458281
No abstract available.
22.
Mendez Romero A, Schillemans W, van Os R, Koppe F, Haasbeek C, Hendriksen E, et al.
Int J Radiat Oncol Biol Phys
. 2021 Jan;
109(5):1377-1386.
PMID: 33451857
Purpose: Although various studies have reported that stereotactic body radiation therapy (SBRT) for liver metastases has high local control rates and relatively low toxicity, most series included a small number...
23.
Jagt T, Breedveld S, van Haveren R, Heijmen B, Hoogeman M
Radiother Oncol
. 2020 Aug;
151:228-233.
PMID: 32777242
Background/purpose: Intensity-modulated proton therapy (IMPT) is highly sensitive to anatomical variations which can cause inadequate target coverage during treatment. Available mitigation techniques include robust treatment planning and online-adaptive IMPT. This...
24.
Heemsbergen W, Incrocci L, Pos F, Heijmen B, Witte M
Front Oncol
. 2020 Apr;
10:469.
PMID: 32346534
Late gastrointestinal (GI) toxicity after radiotherapy for prostate cancer may have significant impact on the cancer survivor's quality of life. To date, little is known about local dose-effects after modern...
25.
van Haveren R, Heijmen B, Breedveld S
Med Phys
. 2020 Feb;
47(4):1499-1508.
PMID: 32017144
Purpose: In automated treatment planning, configuration of the underlying algorithm to generate high-quality plans for all patients of a particular tumor type can be a major challenge. Often, a time-consuming...
26.
Gizynska M, Kukolowicz P, Heijmen B
Med Phys
. 2019 Nov;
47(2):331-341.
PMID: 31721232
Purpose: Interfraction tumor setup variations in radiotherapy are often reduced with image guidance procedures. Clinical target volume (CTV)-planning target volume (PTV) margins are then used to deal with residual errors....
27.
Breedveld S, Bennan A, Aluwini S, Schaart D, Kolkman-Deurloo I, Heijmen B
Phys Med Biol
. 2019 Sep;
64(20):205002.
PMID: 31530761
We developed a fast and fully-automated, multi-criteria treatment planning workflow for high dose rate brachytherapy (HDR-BT). In this workflow, the patient-CT with catheter reconstructions and dwell positions are imported from...
28.
Jagt T, Breedveld S, van Haveren R, Nout R, Astreinidou E, Heijmen B, et al.
Acta Oncol
. 2019 Jul;
58(10):1440-1445.
PMID: 31271076
Intensity-modulated proton therapy is sensitive to inter-fraction variations, including density changes along the pencil-beam paths and variations in organ-shape and location. Large day-to-day variations are seen for cervical cancer patients....
29.
van Haveren R, Heijmen B, Breedveld S
Phys Med Biol
. 2018 Dec;
64(3):035002.
PMID: 30566906
Automated treatment planning algorithms have demonstrated capability in generating consistent and high-quality treatment plans. Their configuration (i.e. determining the algorithm's parameters), however, can be a labour-intensive and time-consuming trial-and-error procedure....
30.
Wang Y, Heijmen B, Petit S
Med Phys
. 2018 Dec;
46(2):934-943.
PMID: 30506855
Purpose: The goal of this study was to generate a large treatment plan database for head and neck (H&N) cancer patients that can be considered as the gold standard to...