191 related articles for article (PubMed ID: 36983721)
1. Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on
Cui C; Yao X; Xu L; Chao Y; Hu Y; Zhao S; Hu Y; Zhang J
J Pers Med; 2023 Mar; 13(3):. PubMed ID: 36983721
[No Abstract] [Full Text] [Related]
2. Differentiation of high-grade glioma and primary central nervous system lymphoma: Multiparametric imaging of the enhancing tumor and peritumoral regions based on hybrid
Zhang S; Wang J; Wang K; Li X; Zhao X; Chen Q; Zhang W; Ai L
Eur J Radiol; 2022 May; 150():110235. PubMed ID: 35290912
[TBL] [Abstract][Full Text] [Related]
3. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
4.
Zhou W; Wen J; Hua F; Xu W; Lu X; Yin B; Geng D; Guan Y
Eur J Radiol; 2018 Jul; 104():26-32. PubMed ID: 29857862
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Radiomic-Based MRI for Classification of Solitary Brain Metastases Subtypes From Primary Lymphoma of the Central Nervous System.
Zhao LM; Hu R; Xie FF; Clay Kargilis D; Imami M; Yang S; Guo JQ; Jiao X; Chen RT; Wei-Hua L; Li L
J Magn Reson Imaging; 2023 Jan; 57(1):227-235. PubMed ID: 35652509
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning and Texture Analysis of [
Hakkak Moghadam Torbati A; Pellegrino S; Fonti R; Morra R; De Placido S; Del Vecchio S
Biomedicines; 2024 Feb; 12(3):. PubMed ID: 38540086
[TBL] [Abstract][Full Text] [Related]
9. An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and
Zhang L; Yao R; Gao J; Tan D; Yang X; Wen M; Wang J; Xie X; Liao R; Tang Y; Chen S; Li Y
Front Oncol; 2021; 11():732704. PubMed ID: 34527594
[TBL] [Abstract][Full Text] [Related]
10. Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [
Gómez OV; Herraiz JL; Udías JM; Haug A; Papp L; Cioni D; Neri E
Cancers (Basel); 2022 Jun; 14(12):. PubMed ID: 35740588
[TBL] [Abstract][Full Text] [Related]
11. Texture Analysis of
Fan X; Zhang H; Yin Y; Zhang J; Yang M; Qin S; Zhang X; Yu F
Front Med (Lausanne); 2020; 7():605746. PubMed ID: 33521018
[No Abstract] [Full Text] [Related]
12. Multicenter clinical radiomics-integrated model based on [
Zhang L; Pan H; Liu Z; Gao J; Xu X; Wang L; Wang J; Tang Y; Cao X; Kan Y; Wen Z; Chen J; Huang D; Chen S; Li Y
Eur Radiol; 2023 Feb; 33(2):872-883. PubMed ID: 35984514
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. [Usefulness and limitation of FDG-PET in the diagnosis of primary central nervous system lymphoma].
Kawai N; Miyake K; Okada M; Yamamoto Y; Nishiyama Y; Tamiya T
No Shinkei Geka; 2013 Feb; 41(2):117-26. PubMed ID: 23378387
[TBL] [Abstract][Full Text] [Related]
15. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
[TBL] [Abstract][Full Text] [Related]
16. Radiomic Analysis of Positron-Emission Tomography and Computed Tomography Images to Differentiate between Multiple Myeloma and Skeletal Metastases.
Mannam P; Murali A; Gokulakrishnan P; Venkatachalapathy E; Venkata Sai PM
Indian J Nucl Med; 2022; 37(3):217-226. PubMed ID: 36686312
[TBL] [Abstract][Full Text] [Related]
17. Prediction of Chemotherapy Response of Osteosarcoma Using Baseline
Jeong SY; Kim W; Byun BH; Kong CB; Song WS; Lim I; Lim SM; Woo SK
Contrast Media Mol Imaging; 2019; 2019():3515080. PubMed ID: 31427908
[TBL] [Abstract][Full Text] [Related]
18. 18F-FDG PET in the diagnosis and treatment of primary central nervous system lymphoma.
Kawai N; Miyake K; Yamamoto Y; Nishiyama Y; Tamiya T
Biomed Res Int; 2013; 2013():247152. PubMed ID: 23844359
[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. The predictive value of [
Gao J; Niu R; Shi Y; Shao X; Jiang Z; Ge X; Wang Y; Shao X
EJNMMI Res; 2023 Apr; 13(1):26. PubMed ID: 37014500
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]