Zobrazeno 1 - 10
of 74
pro vyhledávání: '"René Monshouwer"'
Autor:
Benedetta Gottardelli, Varsha Gouthamchand, Carlotta Masciocchi, Luca Boldrini, Antonella Martino, Ciro Mazzarella, Mariangela Massaccesi, René Monshouwer, Jeroen Findhammer, Leonard Wee, Andre Dekker, Maria Antonietta Gambacorta, Andrea Damiani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Predictive modelling of cancer outcomes using radiomics faces dimensionality problems and data limitations, as radiomics features often number in the hundreds, and multi-institutional data sharing is ()often unfeasible. Federated learning (F
Externí odkaz:
https://doaj.org/article/f46a4dfb4f9e4a9782e2fb980168130c
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 29, Iss , Pp 100533- (2024)
Background and purpose: Normal tissue complication probability (NTCP) models are developed from large retrospective datasets where automatic contouring is often used to contour the organs at risk. This study proposes a methodology to estimate how dis
Externí odkaz:
https://doaj.org/article/a1beba7595a84120abcf0f4523ace835
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 24, Iss , Pp 152-158 (2022)
Background and Purpose: A wide range of quantitative measures are available to facilitate clinical implementation of auto-contouring software, on-going Quality Assurance (QA) and interobserver contouring variation studies. This study aimed to assess
Externí odkaz:
https://doaj.org/article/ec601db9f03c4840aa2d99ca90bc2558
Autor:
Sergey P. Primakov, Abdalla Ibrahim, Janita E. van Timmeren, Guangyao Wu, Simon A. Keek, Manon Beuque, Renée W. Y. Granzier, Elizaveta Lavrova, Madeleine Scrivener, Sebastian Sanduleanu, Esma Kayan, Iva Halilaj, Anouk Lenaers, Jianlin Wu, René Monshouwer, Xavier Geets, Hester A. Gietema, Lizza E. L. Hendriks, Olivier Morin, Arthur Jochems, Henry C. Woodruff, Philippe Lambin
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Correct interpretation of computer tomography (CT) scans is important for the correct assessment of a patient’s disease but can be subjective and timely. Here, the authors develop a system that can automatically segment the non-small cell lung canc
Externí odkaz:
https://doaj.org/article/f8d1b5e497c446468d70f52ae1ba8e78
Autor:
Martijn Kusters, Kentaro Miki, Liza Bouwmans, Karl Bzdusek, Peter van Kollenburg, Robert Jan Smeenk, René Monshouwer, Yasushi Nagata
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 21, Iss , Pp 24-29 (2022)
Background and purpose: Currently, automatic approaches for radiotherapy planning are widely used, however creation of high quality treatment plans is still challenging. In this study, two independent dose prediction methods were used to personalize
Externí odkaz:
https://doaj.org/article/3befd51a7218493796327e87184d8ad1
Autor:
Ivan Zhovannik, Suraj Pai, Talia A. da Silva Santos, Lars L.G. van Driel, Andre Dekker, Rianne Fijten, Alberto Traverso, Johan Bussink, René Monshouwer
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 20, Iss , Pp 30-33 (2021)
Radiomics is referred to as quantitative imaging of biomarkers used for clinical outcome prognosis or tumor characterization. In order to bridge radiomics and its clinical application, we aimed to build an integrated solution of radiomics extraction
Externí odkaz:
https://doaj.org/article/19c536ac9003418f91255ea2d0765678
Autor:
Elisabeth Pfaehler, Ivan Zhovannik, Lise Wei, Ronald Boellaard, Andre Dekker, René Monshouwer, Issam El Naqa, Jan Bussink, Robert Gillies, Leonard Wee, Alberto Traverso
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 20, Iss , Pp 69-75 (2021)
Background and Purpose: Although quantitative image biomarkers (radiomics) show promising value for cancer diagnosis, prognosis, and treatment assessment, these biomarkers still lack reproducibility. In this systematic review, we aimed to assess the
Externí odkaz:
https://doaj.org/article/7555f1f9a7b74a5bb49c2ff4bb27b386
Autor:
Ellen J.L. Brunenberg, Isabell K. Steinseifer, Sven van den Bosch, Johannes H.A.M. Kaanders, Charlotte L. Brouwer, Mark J. Gooding, Wouter van Elmpt, René Monshouwer
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 15, Iss , Pp 8-15 (2020)
Background and purpose: Head and neck (HN) radiotherapy can benefit from automatic delineation of tumor and surrounding organs because of the complex anatomy and the regular need for adaptation. The aim of this study was to assess the performance of
Externí odkaz:
https://doaj.org/article/207960b9befb477c921faa446aa8696e
Autor:
Ivan Zhovannik, Johan Bussink, Alberto Traverso, Zhenwei Shi, Petros Kalendralis, Leonard Wee, Andre Dekker, Rianne Fijten, René Monshouwer
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 19, Iss , Pp 33-38 (2019)
Purpose: Radiomics are quantitative features extracted from medical images. Many radiomic features depend not only on tumor properties, but also on non-tumor related factors such as scanner signal-to-noise ratio (SNR), reconstruction kernel and other
Externí odkaz:
https://doaj.org/article/e464fd7ca9d0442081c5d0c67d4ed65d
Autor:
Ivan Zhovannik, Dennis Bontempi, Alessio Romita, Elisabeth Pfaehler, Sergey Primakov, Andre Dekker, Johan Bussink, Alberto Traverso, René Monshouwer
Publikováno v:
Cancers, Vol 14, Iss 5, p 1288 (2022)
Problem. Image biomarker analysis, also known as radiomics, is a tool for tissue characterization and treatment prognosis that relies on routinely acquired clinical images and delineations. Due to the uncertainty in image acquisition, processing, and
Externí odkaz:
https://doaj.org/article/84c902b5d5e64c9ea8ebadd0b0831e77