557 related articles for article (PubMed ID: 31769230)
1. Radiomics based on
Ou X; Zhang J; Wang J; Pang F; Wang Y; Wei X; Ma X
Cancer Med; 2020 Jan; 9(2):496-506. PubMed ID: 31769230
[TBL] [Abstract][Full Text] [Related]
2. Ability of
Ou X; Wang J; Zhou R; Zhu S; Pang F; Zhou Y; Tian R; Ma X
Contrast Media Mol Imaging; 2019; 2019():4507694. PubMed ID: 30930700
[No Abstract] [Full Text] [Related]
3. Molecular subtype classification of breast cancer using established radiomic signature models based on
Liu J; Bian H; Zhang Y; Gao Y; Yin G; Wang Z; Li X; Ma W; Xu W
Front Biosci (Landmark Ed); 2021 Aug; 26(9):475-484. PubMed ID: 34590460
[No Abstract] [Full Text] [Related]
4.
Kong Z; Jiang C; Zhu R; Feng S; Wang Y; Li J; Chen W; Liu P; Zhao D; Ma W; Wang Y; Cheng X
Neuroimage Clin; 2019; 23():101912. PubMed ID: 31491820
[TBL] [Abstract][Full Text] [Related]
5. Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [
de Jesus FM; Yin Y; Mantzorou-Kyriaki E; Kahle XU; de Haas RJ; Yakar D; Glaudemans AWJM; Noordzij W; Kwee TC; Nijland M
Eur J Nucl Med Mol Imaging; 2022 Apr; 49(5):1535-1543. PubMed ID: 34850248
[TBL] [Abstract][Full Text] [Related]
6. Quantitative classification and radiomics of [
de Koster EJ; Noortman WA; Mostert JM; Booij J; Brouwer CB; de Keizer B; de Klerk JMH; Oyen WJG; van Velden FHP; de Geus-Oei LF; Vriens D;
Eur J Nucl Med Mol Imaging; 2022 Jun; 49(7):2174-2188. PubMed ID: 35138444
[TBL] [Abstract][Full Text] [Related]
7. Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphoma.
Frood R; Clark M; Burton C; Tsoumpas C; Frangi AF; Gleeson F; Patel C; Scarsbrook A
Eur Radiol; 2022 Oct; 32(10):7237-7247. PubMed ID: 36006428
[TBL] [Abstract][Full Text] [Related]
8. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
[TBL] [Abstract][Full Text] [Related]
9.
Li P; Wang X; Xu C; Liu C; Zheng C; Fulham MJ; Feng D; Wang L; Song S; Huang G
Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1116-1126. PubMed ID: 31982990
[TBL] [Abstract][Full Text] [Related]
10. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
11.
Li H; Xu C; Xin B; Zheng C; Zhao Y; Hao K; Wang Q; Wahl RL; Wang X; Zhou Y
Theranostics; 2019; 9(16):4730-4739. PubMed ID: 31367253
[No Abstract] [Full Text] [Related]
12. Development and validation of an
Wang H; Zhao S; Li L; Tian R
Eur Radiol; 2020 Oct; 30(10):5578-5587. PubMed ID: 32435928
[TBL] [Abstract][Full Text] [Related]
13. Impact of
Haider SP; Zeevi T; Sharaf K; Gross M; Mahajan A; Kann BH; Judson BL; Prasad ML; Burtness B; Aboian M; Canis M; Reichel CA; Baumeister P; Payabvash S
J Nucl Med; 2024 May; 65(5):803-809. PubMed ID: 38514087
[TBL] [Abstract][Full Text] [Related]
14. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
[TBL] [Abstract][Full Text] [Related]
15. Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal [18F]FDG PET/CT images.
Peng L; Hong X; Yuan Q; Lu L; Wang Q; Chen W
Ann Nucl Med; 2021 Apr; 35(4):458-468. PubMed ID: 33543393
[TBL] [Abstract][Full Text] [Related]
16. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
[TBL] [Abstract][Full Text] [Related]
17. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
[TBL] [Abstract][Full Text] [Related]
18. Machine learning based on clinico-biological features integrated
Ren C; Zhang J; Qi M; Zhang J; Zhang Y; Song S; Sun Y; Cheng J
Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1538-1549. PubMed ID: 33057772
[TBL] [Abstract][Full Text] [Related]
19. Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [
Nakajo M; Jinguji M; Tani A; Kikuno H; Hirahara D; Togami S; Kobayashi H; Yoshiura T
Mol Imaging Biol; 2021 Oct; 23(5):756-765. PubMed ID: 33763816
[TBL] [Abstract][Full Text] [Related]
20. Potential feature exploration and model development based on 18F-FDG PET/CT images for differentiating benign and malignant lung lesions.
Zhang R; Zhu L; Cai Z; Jiang W; Li J; Yang C; Yu C; Jiang B; Wang W; Xu W; Chai X; Zhang X; Tang Y
Eur J Radiol; 2019 Dec; 121():108735. PubMed ID: 31733432
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]