153 related articles for article (PubMed ID: 37664068)
1. Editorial: Application of radiomics in understanding tumor biological behaviors and treatment response.
Xiao N; Pei Z; Lu W; Fang R; Jin Y; Zhou G; Meng X; Ng SP; Xing L; Liao Z; Sijtsema NM; Yang P
Front Oncol; 2023; 13():1257447. PubMed ID: 37664068
[No Abstract] [Full Text] [Related]
2. Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence.
Xu H; Deng L; Tian R; Ma X
Front Oncol; 2021; 11():628310. PubMed ID: 34367943
[No Abstract] [Full Text] [Related]
3. Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning.
Peng J; Wang W; Jin H; Qin X; Hou J; Yang Z; Shu Z
BMC Cancer; 2023 Apr; 23(1):365. PubMed ID: 37085830
[TBL] [Abstract][Full Text] [Related]
4. The application of artificial intelligence and radiomics in lung cancer.
Zhou Y; Xu X; Song L; Wang C; Guo J; Yi Z; Li W
Precis Clin Med; 2020 Sep; 3(3):214-227. PubMed ID: 35694416
[TBL] [Abstract][Full Text] [Related]
5. Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.
Satake H; Ishigaki S; Ito R; Naganawa S
Radiol Med; 2022 Jan; 127(1):39-56. PubMed ID: 34704213
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence and radiomics in nuclear medicine: potentials and challenges.
Aktolun C
Eur J Nucl Med Mol Imaging; 2019 Dec; 46(13):2731-2736. PubMed ID: 31673788
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence-based Radiomics in the Era of Immuno-oncology.
Kang CY; Duarte SE; Kim HS; Kim E; Park J; Lee AD; Kim Y; Kim L; Cho S; Oh Y; Gim G; Park I; Lee D; Abazeed M; Velichko YS; Chae YK
Oncologist; 2022 Jun; 27(6):e471-e483. PubMed ID: 35348765
[TBL] [Abstract][Full Text] [Related]
8. Application of radiomics and machine learning in head and neck cancers.
Peng Z; Wang Y; Wang Y; Jiang S; Fan R; Zhang H; Jiang W
Int J Biol Sci; 2021; 17(2):475-486. PubMed ID: 33613106
[TBL] [Abstract][Full Text] [Related]
9. Editorial: Radiomics and artificial intelligence in radiology and nuclear medicine.
Annunziata S; Treglia G
Front Med (Lausanne); 2023; 10():1216434. PubMed ID: 37287746
[No Abstract] [Full Text] [Related]
10. Editorial: The application of artificial intelligence in diagnosis, treatment and prognosis in urologic oncology.
Zhu XH; Wu CL; Zu XB; Lu J
Front Oncol; 2022; 12():1118442. PubMed ID: 36620559
[No Abstract] [Full Text] [Related]
11. The Role of Machine Learning and Radiomics for Treatment Response Prediction in Idiopathic Normal Pressure Hydrocephalus.
Sotoudeh H; Sadaatpour Z; Rezaei A; Shafaat O; Sotoudeh E; Tabatabaie M; Singhal A; Tanwar M
Cureus; 2021 Oct; 13(10):e18497. PubMed ID: 34754658
[TBL] [Abstract][Full Text] [Related]
12. Editorial: The Application of Radiomics and Artificial Intelligence in Cancer Imaging.
Huang H
Front Oncol; 2022; 12():864940. PubMed ID: 35311122
[No Abstract] [Full Text] [Related]
13. PET-Derived Radiomics and Artificial Intelligence in Breast Cancer: A Systematic Review.
Urso L; Manco L; Castello A; Evangelista L; Guidi G; Castellani M; Florimonte L; Cittanti C; Turra A; Panareo S
Int J Mol Sci; 2022 Nov; 23(21):. PubMed ID: 36362190
[TBL] [Abstract][Full Text] [Related]
14. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
Dalal V; Carmicheal J; Dhaliwal A; Jain M; Kaur S; Batra SK
Cancer Lett; 2020 Jan; 469():228-237. PubMed ID: 31629933
[TBL] [Abstract][Full Text] [Related]
15. Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.
van Dijk LV; Fuller CD
Am Soc Clin Oncol Educ Book; 2021 Mar; 41():1-11. PubMed ID: 33929877
[TBL] [Abstract][Full Text] [Related]
16. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.
Kocher M; Ruge MI; Galldiks N; Lohmann P
Strahlenther Onkol; 2020 Oct; 196(10):856-867. PubMed ID: 32394100
[TBL] [Abstract][Full Text] [Related]
17. [Artificial intelligence, radiomics and pathomics to predict response and survival of patients treated with radiations].
Sun R; Lerousseau M; Henry T; Carré A; Leroy A; Estienne T; Niyoteka S; Bockel S; Rouyar A; Alvarez Andres É; Benzazon N; Battistella E; Classe M; Robert C; Scoazec JY; Deutsch É
Cancer Radiother; 2021 Oct; 25(6-7):630-637. PubMed ID: 34284970
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling.
Zhang YP; Zhang XY; Cheng YT; Li B; Teng XZ; Zhang J; Lam S; Zhou T; Ma ZR; Sheng JB; Tam VCW; Lee SWY; Ge H; Cai J
Mil Med Res; 2023 May; 10(1):22. PubMed ID: 37189155
[TBL] [Abstract][Full Text] [Related]
19. Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know.
Wagner MW; Namdar K; Biswas A; Monah S; Khalvati F; Ertl-Wagner BB
Neuroradiology; 2021 Dec; 63(12):1957-1967. PubMed ID: 34537858
[TBL] [Abstract][Full Text] [Related]
20. A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers.
Vicini S; Bortolotto C; Rengo M; Ballerini D; Bellini D; Carbone I; Preda L; Laghi A; Coppola F; Faggioni L
Radiol Med; 2022 Aug; 127(8):819-836. PubMed ID: 35771379
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]