Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Cary Oberije"'
Autor:
Anshu Ankolekar, Britt van derHeijden, Andre Dekker, Cheryl Roumen, Dirk De Ruysscher, Bart Reymen, Adriana Berlanga, Cary Oberije, Rianne Fijten
Publikováno v:
Health Expectations, Vol 25, Iss 4, Pp 1342-1351 (2022)
Abstract Background Lung cancer treatment decisions are typically made among clinical experts in a multidisciplinary tumour board (MTB) based on clinical data and guidelines. The rise of artificial intelligence and cultural shifts towards patient aut
Externí odkaz:
https://doaj.org/article/9ff144d837e9423bbe1a80d3ee70b964
Autor:
Iva Halilaj, Cary Oberije, Avishek Chatterjee, Yvonka van Wijk, Nastaran Mohammadian Rad, Prabash Galganebanduge, Elizaveta Lavrova, Sergey Primakov, Yousif Widaatalla, Anke Wind, Philippe Lambin
Publikováno v:
Biomedicines, Vol 10, Iss 11, p 2679 (2022)
(1) Background: The main aim was to develop a prototype application that would serve as an open-source repository for a curated subset of predictive and prognostic models regarding oncology, and provide a user-friendly interface for the included mode
Externí odkaz:
https://doaj.org/article/afc1a62aa9804c6e8d5ca4c53f8a5749
Autor:
Avishek Chatterjee, Guangyao Wu, Sergey Primakov, Cary Oberije, Henry Woodruff, Pieter Kubben, Ronald Henry, Marcel J H Aries, Martijn Beudel, Peter G Noordzij, Tom Dormans, Niels C Gritters van den Oever, Joop P van den Bergh, Caroline E Wyers, Suat Simsek, Renée Douma, Auke C Reidinga, Martijn D de Kruif, Julien Guiot, Anne-Noelle Frix, Renaud Louis, Michel Moutschen, Pierre Lovinfosse, Philippe Lambin
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249920 (2021)
ObjectiveTo establish whether one can build a mortality prediction model for COVID-19 patients based solely on demographics and comorbidity data that outperforms age alone. Such a model could be a precursor to implementing smart lockdowns and vaccine
Externí odkaz:
https://doaj.org/article/646b735e91cf4172bfd7ad6317f6bb1a
Autor:
Timo M. Deist, A. Jochems, Johan van Soest, Georgi Nalbantov, Cary Oberije, Seán Walsh, Michael Eble, Paul Bulens, Philippe Coucke, Wim Dries, Andre Dekker, Philippe Lambin
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 4, Iss C, Pp 24-31 (2017)
Machine learning applications for personalized medicine are highly dependent on access to sufficient data. For personalized radiation oncology, datasets representing the variation in the entire cancer patient population need to be acquired and used t
Externí odkaz:
https://doaj.org/article/2905a7b17e9a42ca85049baed8e01b76
Autor:
Janna E van Timmeren, Sara Carvalho, Ralph T H Leijenaar, Esther G C Troost, Wouter van Elmpt, Dirk de Ruysscher, Jean-Pierre Muratet, Fabrice Denis, Tanja Schimek-Jasch, Ursula Nestle, Arthur Jochems, Henry C Woodruff, Cary Oberije, Philippe Lambin
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0217536 (2019)
BackgroundPrognostic models based on individual patient characteristics can improve treatment decisions and outcome in the future. In many (radiomic) studies, small size and heterogeneity of datasets is a challenge that often limits performance and p
Externí odkaz:
https://doaj.org/article/1c99f6cbb28346d88e44c846d4f72520
Autor:
Sara Carvalho, Ralph T H Leijenaar, Esther G C Troost, Janna E van Timmeren, Cary Oberije, Wouter van Elmpt, Lioe-Fee de Geus-Oei, Johan Bussink, Philippe Lambin
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0192859 (2018)
Lymph node stage prior to treatment is strongly related to disease progression and poor prognosis in non-small cell lung cancer (NSCLC). However, few studies have investigated metabolic imaging features derived from pre-radiotherapy 18F-fluorodeoxygl
Externí odkaz:
https://doaj.org/article/c6556bdd6a05478f81ff44f3d3859356
Autor:
Annie Y Ng, Ben Glocker, Cary Oberije, Georgia Fox, Nisha Sharma, Jonathan J James, Éva Ambrózay, Jonathan Nash, Edith Karpati, Sarah Kerruish, Peter D Kecskemethy
Publikováno v:
Journal of Breast Imaging. 5:267-276
Objective To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as supporting reader for the detection of breast cancer in mammography-based double reading screening practice. Methods Large-scale multi-site, multi-ven
Autor:
Annie Y. Ng, Ben Glocker, Cary Oberije, Georgia Fox, Jonathan Nash, Edith Karpati, Sarah Kerruish, Peter D. Kecskemethy
ObjectivesTo evaluate the effectiveness of a novel strategy for using AI as a supporting reader for the detection of breast cancer in mammography-based double reading screening practice. Instead of replacing a human reader, here AI serves as the seco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c0b9e65783565ea9d81417f5a9af90
https://doi.org/10.1101/2022.06.22.22276751
https://doi.org/10.1101/2022.06.22.22276751
Autor:
Timo M. Deist, Cary Oberije, Andre Dekker, Issam El Naqa, Johan Bussink, Leonard Wee, Timothy D. Solberg, Wouter Bots, Olivier Morin, Frank J. W. M. Dankers, Margriet Kwint, Tim Lustberg, R. Wijsman, David R. Raleigh, I-Chow Hsu, Frank J. P. Hoebers, René Monshouwer, Johan van Soest, Philippe Lambin, José Belderbos, Gilmer Valdes, Arthur Jochems, Johannes H.A.M. Kaanders
Publikováno v:
Medical Physics. 46:1080-1087
Autor:
Yvonka, van Wijk, Bram, Ramaekers, Ben G L, Vanneste, Iva, Halilaj, Cary, Oberije, Avishek, Chatterjee, Tom, Marcelissen, Arthur, Jochems, Henry C, Woodruff, Philippe, Lambin
Publikováno v:
Cancers
Simple Summary Low–intermediate prostate cancer has a number of viable treatment options, such as radical prostatectomy and radiotherapy, with similar survival outcomes but different treatment-related side effects. The aim of this study is to facil