621 related articles for article (PubMed ID: 37214402)
1. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics.
Liu J; Wu Y; Jia W; Han M; Chen Y; Li J; Wu B; Yin S; Zhang X; Chen J; Yu P; Luo H; Tu J; Zhou F; Cheng X; Yi Y
Front Neurosci; 2023; 17():1110579. PubMed ID: 37214402
[TBL] [Abstract][Full Text] [Related]
2. Radiomics-based intracranial thrombus features on preoperative noncontrast CT predicts successful recanalization of mechanical thrombectomy in acute ischemic stroke.
Xiong X; Wang J; Ke J; Hong R; Jiang S; Ye J; Hu C
Quant Imaging Med Surg; 2023 Feb; 13(2):682-694. PubMed ID: 36819277
[TBL] [Abstract][Full Text] [Related]
3. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules].
Xu HJ; Yang Q; He P; Luo HH; Deng WM; Liu Z; Luo DH
Zhonghua Yi Xue Za Zhi; 2023 Nov; 103(41):3279-3286. PubMed ID: 37926572
[No Abstract] [Full Text] [Related]
4. Apparent diffusion coefficient map based radiomics model in identifying the ischemic penumbra in acute ischemic stroke.
Zhang R; Zhu L; Zhu Z; Ge Y; Zhang Z; Wang T
Ann Palliat Med; 2020 Sep; 9(5):2684-2692. PubMed ID: 32787353
[TBL] [Abstract][Full Text] [Related]
5. Prognosis of ischemic stroke predicted by machine learning based on multi-modal MRI radiomics.
Yu H; Wang Z; Sun Y; Bo W; Duan K; Song C; Hu Y; Zhou J; Mu Z; Wu N
Front Psychiatry; 2022; 13():1105496. PubMed ID: 36699499
[TBL] [Abstract][Full Text] [Related]
6. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
7. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
Shan D; Wang J; Qi P; Lu J; Wang D
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
[TBL] [Abstract][Full Text] [Related]
8. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang M; Chen W
Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
[TBL] [Abstract][Full Text] [Related]
9. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
10. Predicting long-term outcomes for acute ischemic stroke using multi-model MRI radiomics and clinical variables.
Wei L; Pan X; Deng W; Chen L; Xi Q; Liu M; Xu H; Liu J; Wang P
Front Med (Lausanne); 2024; 11():1328073. PubMed ID: 38495120
[TBL] [Abstract][Full Text] [Related]
11. Preoperative prediction of sonic hedgehog and group 4 molecular subtypes of pediatric medulloblastoma based on radiomics of multiparametric MRI combined with clinical parameters.
Wang Y; Wang L; Qin B; Hu X; Xiao W; Tong Z; Li S; Jing Y; Li L; Zhang Y
Front Neurosci; 2023; 17():1157858. PubMed ID: 37113160
[TBL] [Abstract][Full Text] [Related]
12. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
Front Oncol; 2021; 11():618604. PubMed ID: 34567999
[TBL] [Abstract][Full Text] [Related]
13. Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears.
Cheng Q; Lin H; Zhao J; Lu X; Wang Q
J Orthop Surg Res; 2024 Jan; 19(1):99. PubMed ID: 38297322
[TBL] [Abstract][Full Text] [Related]
14. Preoperative prediction of vessel invasion in locally advanced gastric cancer based on computed tomography radiomics and machine learning.
Hu ZW; Liang P; Li ZL; Yong LL; Lu H; Wang R; Gao JB
Oncol Lett; 2023 Jul; 26(1):293. PubMed ID: 37274479
[TBL] [Abstract][Full Text] [Related]
15. Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.
Zou XC; Luo CW; Yuan RM; Jin MN; Zeng T; Chao HC
Urolithiasis; 2024 Apr; 52(1):64. PubMed ID: 38613668
[TBL] [Abstract][Full Text] [Related]
16. FLAIR and ADC Image-Based Radiomics Features as Predictive Biomarkers of Unfavorable Outcome in Patients With Acute Ischemic Stroke.
Quan G; Ban R; Ren JL; Liu Y; Wang W; Dai S; Yuan T
Front Neurosci; 2021; 15():730879. PubMed ID: 34602971
[TBL] [Abstract][Full Text] [Related]
17. The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
Hu C; Qiao X; Hu C; Cao C; Wang X; Bao J
Cancer Imaging; 2024 Feb; 24(1):23. PubMed ID: 38326860
[TBL] [Abstract][Full Text] [Related]
18. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
[TBL] [Abstract][Full Text] [Related]
19. Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data.
Ni J; Zhang H; Yang Q; Fan X; Xu J; Sun J; Zhang J; Hu Y; Xiao Z; Zhao Y; Zhu H; Shi X; Feng W; Wang J; Wan C; Zhang X; Liu Y; You Y; Yu Y
Acad Radiol; 2024 Mar; ():. PubMed ID: 38458887
[TBL] [Abstract][Full Text] [Related]
20. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
