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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2008 1
2009 1
2010 4
2011 3
2012 2
2013 5
2014 7
2015 9
2016 7
2017 10
2018 12
2019 11
2020 8
2021 9
2022 1
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77 results
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Radiomics: the bridge between medical imaging and personalized medicine.
Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue RTHM, Even AJG, Jochems A, van Wijk Y, Woodruff H, van Soest J, Lustberg T, Roelofs E, van Elmpt W, Dekker A, Mottaghy FM, Wildberger JE, Walsh S. Lambin P, et al. Nat Rev Clin Oncol. 2017 Dec;14(12):749-762. doi: 10.1038/nrclinonc.2017.141. Epub 2017 Oct 4. Nat Rev Clin Oncol. 2017. PMID: 28975929 Review.
Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining i …
Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted …
Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.
Wu G, Yang P, Xie Y, Woodruff HC, Rao X, Guiot J, Frix AN, Louis R, Moutschen M, Li J, Li J, Yan C, Du D, Zhao S, Ding Y, Liu B, Sun W, Albarello F, D'Abramo A, Schininà V, Nicastri E, Occhipinti M, Barisione G, Barisione E, Halilaj I, Lovinfosse P, Wang X, Wu J, Lambin P. Wu G, et al. Eur Respir J. 2020 Aug 20;56(2):2001104. doi: 10.1183/13993003.01104-2020. Print 2020 Aug. Eur Respir J. 2020. PMID: 32616597 Free PMC article.
Radiomics: from qualitative to quantitative imaging.
Rogers W, Thulasi Seetha S, Refaee TAG, Lieverse RIY, Granzier RWY, Ibrahim A, Keek SA, Sanduleanu S, Primakov SP, Beuque MPL, Marcus D, van der Wiel AMA, Zerka F, Oberije CJG, van Timmeren JE, Woodruff HC, Lambin P. Rogers W, et al. Br J Radiol. 2020 Apr;93(1108):20190948. doi: 10.1259/bjr.20190948. Epub 2020 Feb 26. Br J Radiol. 2020. PMID: 32101448 Free PMC article. Review.
Radiomics, in its two forms "handcrafted and deep," is an emerging field that translates medical images into quantitative data to yield biological information and enable radiologic phenotypic profiling for diagnosis, theragnosis, decision support, and monitoring. Ha …
Radiomics, in its two forms "handcrafted and deep," is an emerging field that translates medical images into quantitative data to yield biol …
Imaging biomarker roadmap for cancer studies.
O'Connor JP, Aboagye EO, Adams JE, Aerts HJ, Barrington SF, Beer AJ, Boellaard R, Bohndiek SE, Brady M, Brown G, Buckley DL, Chenevert TL, Clarke LP, Collette S, Cook GJ, deSouza NM, Dickson JC, Dive C, Evelhoch JL, Faivre-Finn C, Gallagher FA, Gilbert FJ, Gillies RJ, Goh V, Griffiths JR, Groves AM, Halligan S, Harris AL, Hawkes DJ, Hoekstra OS, Huang EP, Hutton BF, Jackson EF, Jayson GC, Jones A, Koh DM, Lacombe D, Lambin P, Lassau N, Leach MO, Lee TY, Leen EL, Lewis JS, Liu Y, Lythgoe MF, Manoharan P, Maxwell RJ, Miles KA, Morgan B, Morris S, Ng T, Padhani AR, Parker GJ, Partridge M, Pathak AP, Peet AC, Punwani S, Reynolds AR, Robinson SP, Shankar LK, Sharma RA, Soloviev D, Stroobants S, Sullivan DC, Taylor SA, Tofts PS, Tozer GM, van Herk M, Walker-Samuel S, Wason J, Williams KJ, Workman P, Yankeelov TE, Brindle KM, McShane LM, Jackson A, Waterton JC. O'Connor JP, et al. Nat Rev Clin Oncol. 2017 Mar;14(3):169-186. doi: 10.1038/nrclinonc.2016.162. Epub 2016 Oct 11. Nat Rev Clin Oncol. 2017. PMID: 27725679 Free PMC article. Review.
New IBs need to be established either as useful tools for testing research hypotheses in clinical trials and research studies, or as clinical decision-making tools for use in healthcare, by crossing 'translational gaps' through validation and qualification. ...
New IBs need to be established either as useful tools for testing research hypotheses in clinical trials and research studies, or as clinica …
Decision support systems for personalized and participative radiation oncology.
Lambin P, Zindler J, Vanneste BG, De Voorde LV, Eekers D, Compter I, Panth KM, Peerlings J, Larue RT, Deist TM, Jochems A, Lustberg T, van Soest J, de Jong EE, Even AJ, Reymen B, Rekers N, van Gisbergen M, Roelofs E, Carvalho S, Leijenaar RT, Zegers CM, Jacobs M, van Timmeren J, Brouwers P, Lal JA, Dubois L, Yaromina A, Van Limbergen EJ, Berbee M, van Elmpt W, Oberije C, Ramaekers B, Dekker A, Boersma LJ, Hoebers F, Smits KM, Berlanga AJ, Walsh S. Lambin P, et al. Adv Drug Deliv Rev. 2017 Jan 15;109:131-153. doi: 10.1016/j.addr.2016.01.006. Epub 2016 Jan 14. Adv Drug Deliv Rev. 2017. PMID: 26774327 Review.
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome. ...In t …
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being …
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.
Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans CR, Dekker A, Quackenbush J, Gillies RJ, Lambin P. Aerts HJ, et al. Nat Commun. 2014 Jun 3;5:4006. doi: 10.1038/ncomms5006. Nat Commun. 2014. PMID: 24892406 Free PMC article.
This may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve decision-support in cancer treatment at low cost....
This may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve deci
Deep learning in fracture detection: a narrative review.
Kalmet PHS, Sanduleanu S, Primakov S, Wu G, Jochems A, Refaee T, Ibrahim A, Hulst LV, Lambin P, Poeze M. Kalmet PHS, et al. Acta Orthop. 2020 Apr;91(2):215-220. doi: 10.1080/17453674.2019.1711323. Epub 2020 Jan 13. Acta Orthop. 2020. PMID: 31928116 Free PMC article. Updated. Review.
Decision Support Systems in Oncology.
Walsh S, de Jong EEC, van Timmeren JE, Ibrahim A, Compter I, Peerlings J, Sanduleanu S, Refaee T, Keek S, Larue RTHM, van Wijk Y, Even AJG, Jochems A, Barakat MS, Leijenaar RTH, Lambin P. Walsh S, et al. JCO Clin Cancer Inform. 2019 Feb;3:1-9. doi: 10.1200/CCI.18.00001. JCO Clin Cancer Inform. 2019. PMID: 30730766 Free PMC article. Review.
Given this level of complexity and the restriction of human decision making, current methods are untenable. A solution to this challenge is multifactorial decision support systems (DSSs), continuously learning artificial intelligence platforms that integrate …
Given this level of complexity and the restriction of human decision making, current methods are untenable. A solution to this challe …
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM, Dankers FJWM, Valdes G, Wijsman R, Hsu IC, Oberije C, Lustberg T, van Soest J, Hoebers F, Jochems A, El Naqa I, Wee L, Morin O, Raleigh DR, Bots W, Kaanders JH, Belderbos J, Kwint M, Solberg T, Monshouwer R, Bussink J, Dekker A, Lambin P. Deist TM, et al. Med Phys. 2018 Jul;45(7):3449-3459. doi: 10.1002/mp.12967. Epub 2018 Jun 13. Med Phys. 2018. PMID: 29763967 Free PMC article.
General Machine learning literature provides evidence in favor of some classifier families (random forest, support vector machine, gradient boosting) in terms of classification performance. ...Six common classification algorithms with built-in feature selection (decisio
General Machine learning literature provides evidence in favor of some classifier families (random forest, support vector machine, gr …
Decision Support Systems in Prostate Cancer Treatment: An Overview.
van Wijk Y, Halilaj I, van Limbergen E, Walsh S, Lutgens L, Lambin P, Vanneste BGL. van Wijk Y, et al. Biomed Res Int. 2019 Jun 6;2019:4961768. doi: 10.1155/2019/4961768. eCollection 2019. Biomed Res Int. 2019. PMID: 31281840 Free PMC article. Review.
BACKGROUND: A multifactorial decision support system (mDSS) is a tool designed to improve the clinical decision-making process, while using clinical inputs for an individual patient to generate case-specific advice. ...We divided the included studies into dif …
BACKGROUND: A multifactorial decision support system (mDSS) is a tool designed to improve the clinical decision-making …
77 results