Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Steven Michiels"'
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 11, Iss , Pp 21-26 (2019)
Background and purpose: Current commercial surface scanning systems are not able to monitor patients during radiotherapy fractions in closed-bore linacs during adaptive workflows. In this work a surface scanning system for monitoring in an O-ring lin
Externí odkaz:
https://doaj.org/article/ed3e1850fb144104ab061cd5ef96b747
Publikováno v:
Oral and Maxillofacial Surgery Cases, Vol 5, Iss 3, Pp - (2019)
Rhabdomyosarcoma (RMS) is one of the most common soft tissue sarcomas encountered in paediatric patients. Embryonal rhabdomyosarcoma (ERMS), a variant of RMS, is observed in more than 70% of the cases and predominantly arises from head and neck regio
Externí odkaz:
https://doaj.org/article/7b02b89e95ed4a8e920b8874676a1642
Machine learning (ML) may improve and automate quality control (QC) in injection moulding manufacturing. As the labelling of extensive, real-world process data is costly, however, the use of simulated process data may offer a first step towards a suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0b2382d790fcb02b42ea6403e098d93
http://arxiv.org/abs/2206.15285
http://arxiv.org/abs/2206.15285
Autor:
John Aldo Lee, M. Huet Dastarac, S. Teruel Rivas, Steven Michiels, Ana M. Barragan-Montero, Edmond Sterpin
Publikováno v:
Radiotherapy and Oncology. 161:S513-S515
Autor:
John Aldo Lee, Fredrik Löfman, Paul Desbordes, Benoît Macq, Umair Javaid, Dan Nguyen, Steven Michiels, Edmond Sterpin, Kevin Souris, Liesbeth Vandewinckele, Gilmer Valdes, Mats Holmström, S. Willems, Ana M. Barragan-Montero
Publikováno v:
Phys Med
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence of disruptive technical advances and impressive experimental results, notably in the field of image analysis and processing. In medicine, specialties where ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e73a9a388e40a3f369c067943f2ee185
https://escholarship.org/uc/item/0345q6vg
https://escholarship.org/uc/item/0345q6vg
Autor:
Edmond Sterpin, Gilles Defraene, Ana M. Barragan-Montero, Karin Haustermans, Melissa Thomas, John Aldo Lee, Steven Michiels
Publikováno v:
Physica Medica, Vol. 83, p. 52-63 (2021)
PURPOSE: To investigate the effect of data quality and quantity on the performance of deep learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of esophageal cancer. MATERIAL AND METHODS: Two databases were used: a var
Autor:
John Aldo Lee, A. Barragan, Edmond Sterpin, Michael Thomas, Steven Michiels, K. Haustermans, Gilles Defraene
Publikováno v:
Radiotherapy and Oncology. 161:S649-S650
Autor:
Michael Thomas, Gilles Defraene, Edmond Sterpin, Steven Michiels, C. Draguet, Ana M. Barragan-Montero, John Aldo Lee, K. Haustermans
Publikováno v:
Radiotherapy and Oncology. 161:S718-S719
Autor:
Sandra Nuyts, Wouter Crijns, Steven Michiels, Karin Haustermans, Laurence Delombaerde, Robin De Roover, Tom Depuydt, Bianca Vanstraelen, Kenneth Poels
Publikováno v:
Radiotherapy and Oncology. 128:479-484
Background and purpose Linac improvements in gantry speed, leaf speed and dose rate may increase the time-efficiency of volumetric modulated arc therapy (VMAT) delivery. The plan quality achievable with faster VMAT however remains to be investigated.
Publikováno v:
Journal of Applied Clinical Medical Physics
Electron beam collimators for non-standard field sizes and shapes are typically fabricated using Styrofoam molds to cast the aperture cut-out. These molds are often produced using a dedicated foam cutter, which may be expensive and only serves a sing