823 related articles for article (PubMed ID: 27241666)
1. Big Data and machine learning in radiation oncology: State of the art and future prospects.
Bibault JE; Giraud P; Burgun A
Cancer Lett; 2016 Nov; 382(1):110-117. PubMed ID: 27241666
[TBL] [Abstract][Full Text] [Related]
2. Using Big Data Analytics to Advance Precision Radiation Oncology.
McNutt TR; Benedict SH; Low DA; Moore K; Shpitser I; Jiang W; Lakshminarayanan P; Cheng Z; Han P; Hui X; Nakatsugawa M; Lee J; Moore JA; Robertson SP; Shah V; Taylor R; Quon H; Wong J; DeWeese T
Int J Radiat Oncol Biol Phys; 2018 Jun; 101(2):285-291. PubMed ID: 29726357
[TBL] [Abstract][Full Text] [Related]
3. Needs and Challenges for Big Data in Radiation Oncology.
McNutt TR; Moore KL; Quon H
Int J Radiat Oncol Biol Phys; 2016 Jul; 95(3):909-915. PubMed ID: 27302506
[No Abstract] [Full Text] [Related]
4. A review of statistical and machine learning methods for modeling cancer risk using structured clinical data.
Richter AN; Khoshgoftaar TM
Artif Intell Med; 2018 Aug; 90():1-14. PubMed ID: 30017512
[TBL] [Abstract][Full Text] [Related]
5. [Big data and their perspectives in radiation therapy].
Guihard S; Thariat J; Clavier JB
Bull Cancer; 2017 Feb; 104(2):147-156. PubMed ID: 27914589
[TBL] [Abstract][Full Text] [Related]
6. Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.
Kang J; Schwartz R; Flickinger J; Beriwal S
Int J Radiat Oncol Biol Phys; 2015 Dec; 93(5):1127-35. PubMed ID: 26581149
[TBL] [Abstract][Full Text] [Related]
7. Perspectives on making big data analytics work for oncology.
El Naqa I
Methods; 2016 Dec; 111():32-44. PubMed ID: 27586524
[TBL] [Abstract][Full Text] [Related]
8. Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.
Pillai M; Adapa K; Das SK; Mazur L; Dooley J; Marks LB; Thompson RF; Chera BS
J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1267-1272. PubMed ID: 31492404
[TBL] [Abstract][Full Text] [Related]
9. How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?
Rosenstein BS; Capala J; Efstathiou JA; Hammerbacher J; Kerns SL; Kong FS; Ostrer H; Prior FW; Vikram B; Wong J; Xiao Y
Int J Radiat Oncol Biol Phys; 2016 Jul; 95(3):895-904. PubMed ID: 26797542
[TBL] [Abstract][Full Text] [Related]
10. Artificial Intelligence in Radiation Oncology.
Deig CR; Kanwar A; Thompson RF
Hematol Oncol Clin North Am; 2019 Dec; 33(6):1095-1104. PubMed ID: 31668208
[TBL] [Abstract][Full Text] [Related]
11. Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.
Dercle L; Henry T; Carré A; Paragios N; Deutsch E; Robert C
Methods; 2021 Apr; 188():44-60. PubMed ID: 32697964
[TBL] [Abstract][Full Text] [Related]
12. Treatment data and technical process challenges for practical big data efforts in radiation oncology.
Mayo CS; Phillips M; McNutt TR; Palta J; Dekker A; Miller RC; Xiao Y; Moran JM; Matuszak MM; Gabriel P; Ayan AS; Prisciandaro J; Thor M; Dixit N; Popple R; Killoran J; Kaleba E; Kantor M; Ruan D; Kapoor R; Kessler ML; Lawrence TS
Med Phys; 2018 Oct; 45(10):e793-e810. PubMed ID: 30226286
[TBL] [Abstract][Full Text] [Related]
13. Creating a data exchange strategy for radiotherapy research: towards federated databases and anonymised public datasets.
Skripcak T; Belka C; Bosch W; Brink C; Brunner T; Budach V; Büttner D; Debus J; Dekker A; Grau C; Gulliford S; Hurkmans C; Just U; Krause M; Lambin P; Langendijk JA; Lewensohn R; Lühr A; Maingon P; Masucci M; Niyazi M; Poortmans P; Simon M; Schmidberger H; Spezi E; Stuschke M; Valentini V; Verheij M; Whitfield G; Zackrisson B; Zips D; Baumann M
Radiother Oncol; 2014 Dec; 113(3):303-9. PubMed ID: 25458128
[TBL] [Abstract][Full Text] [Related]
14. A systematic quality assurance framework for the upgrade of radiation oncology information systems.
Zhang B; Chen S; D'Souza WD; Yi B
Phys Med; 2020 Jan; 69():28-35. PubMed ID: 31812727
[TBL] [Abstract][Full Text] [Related]
15. Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.
Alonso-Betanzos A; Bolón-Canedo V
Adv Exp Med Biol; 2018; 1065():607-626. PubMed ID: 30051410
[TBL] [Abstract][Full Text] [Related]
16. Revisit of Machine Learning Supported Biological and Biomedical Studies.
Yu XT; Wang L; Zeng T
Methods Mol Biol; 2018; 1754():183-204. PubMed ID: 29536444
[TBL] [Abstract][Full Text] [Related]
17. A support vector machine tool for adaptive tomotherapy treatments: Prediction of head and neck patients criticalities.
Guidi G; Maffei N; Vecchi C; Ciarmatori A; Mistretta GM; Gottardi G; Meduri B; Baldazzi G; Bertoni F; Costi T
Phys Med; 2015 Jul; 31(5):442-51. PubMed ID: 25958225
[TBL] [Abstract][Full Text] [Related]
18. Machine learning and modeling: Data, validation, communication challenges.
El Naqa I; Ruan D; Valdes G; Dekker A; McNutt T; Ge Y; Wu QJ; Oh JH; Thor M; Smith W; Rao A; Fuller C; Xiao Y; Manion F; Schipper M; Mayo C; Moran JM; Ten Haken R
Med Phys; 2018 Oct; 45(10):e834-e840. PubMed ID: 30144098
[TBL] [Abstract][Full Text] [Related]
19. A novel method for predicting kidney stone type using ensemble learning.
Kazemi Y; Mirroshandel SA
Artif Intell Med; 2018 Jan; 84():117-126. PubMed ID: 29241659
[TBL] [Abstract][Full Text] [Related]
20. [Outcome Prediction after Radiotherapy with Medical Big Data].
Magome T
Igaku Butsuri; 2016; 36(1):39-41. PubMed ID: 28428496
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]