211 related articles for article (PubMed ID: 38106308)
1. Can machine learning models improve early detection of brain metastases using diffusion weighted imaging-based radiomics?
Madamesila J; Tchistiakova E; Faruqi S; Das S; Ploquin N
Quant Imaging Med Surg; 2023 Dec; 13(12):7706-7718. PubMed ID: 38106308
[TBL] [Abstract][Full Text] [Related]
2. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
Hashido T; Saito S; Ishida T
J Comput Assist Tomogr; 2021 Jul-Aug 01; 45(4):606-613. PubMed ID: 34270479
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. [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]
5. 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]
6. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
7. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
8. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y
Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835
[TBL] [Abstract][Full Text] [Related]
9. Improving Noninvasive Classification of Molecular Subtypes of Adult Gliomas With Diffusion-Weighted MR Imaging: An Externally Validated Machine Learning Algorithm.
Guo Y; Ma Z; Pei D; Duan W; Guo Y; Liu Z; Guan F; Wang Z; Xing A; Guo Z; Luo L; Wang W; Yu B; Zhou J; Ji Y; Yan D; Cheng J; Liu X; Yan J; Zhang Z
J Magn Reson Imaging; 2023 Oct; 58(4):1234-1242. PubMed ID: 36727433
[TBL] [Abstract][Full Text] [Related]
10. Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.
Hamerla G; Meyer HJ; Schob S; Ginat DT; Altman A; Lim T; Gihr GA; Horvath-Rizea D; Hoffmann KT; Surov A
Magn Reson Imaging; 2019 Nov; 63():244-249. PubMed ID: 31425811
[TBL] [Abstract][Full Text] [Related]
11. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation.
Lee S; Lee SY; Jung JY; Nam Y; Jeon HJ; Jung CK; Shin SH; Chung YG
PLoS One; 2023; 18(5):e0286417. PubMed ID: 37256875
[TBL] [Abstract][Full Text] [Related]
12. Breast Cancer Classification on Multiparametric MRI - Increased Performance of Boosting Ensemble Methods.
Vamvakas A; Tsivaka D; Logothetis A; Vassiou K; Tsougos I
Technol Cancer Res Treat; 2022; 21():15330338221087828. PubMed ID: 35341421
[No Abstract] [Full Text] [Related]
13. Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability.
Shan D; Wang S; Wang J; Lu J; Ren J; Chen J; Wang D; Qi P
Front Neurol; 2023; 14():1151326. PubMed ID: 37396779
[TBL] [Abstract][Full Text] [Related]
14. Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.
Yimit Y; Yasin P; Tuersun A; Wang J; Wang X; Huang C; Abudoubari S; Chen X; Ibrahim I; Nijiati P; Wang Y; Zou X; Nijiati M
Acad Radiol; 2024 Mar; ():. PubMed ID: 38508934
[TBL] [Abstract][Full Text] [Related]
15. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
Li C; Yin J
Front Oncol; 2021; 11():671354. PubMed ID: 34041033
[TBL] [Abstract][Full Text] [Related]
16. Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR.
Sun K; Jiao Z; Zhu H; Chai W; Yan X; Fu C; Cheng JZ; Yan F; Shen D
J Transl Med; 2021 Oct; 19(1):443. PubMed ID: 34689804
[TBL] [Abstract][Full Text] [Related]
17. Contrast-enhanced T1-weighted image radiomics of brain metastases may predict EGFR mutation status in primary lung cancer.
Ahn SJ; Kwon H; Yang JJ; Park M; Cha YJ; Suh SH; Lee JM
Sci Rep; 2020 Jun; 10(1):8905. PubMed ID: 32483122
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment.
Granata V; Fusco R; Brunese MC; Ferrara G; Tatangelo F; Ottaiano A; Avallone A; Miele V; Normanno N; Izzo F; Petrillo A
Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248029
[TBL] [Abstract][Full Text] [Related]
19. Predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning MR images and dose maps.
Wang H; Xue J; Qu T; Bernstein K; Chen T; Barbee D; Silverman JS; Kondziolka D
Med Phys; 2021 Sep; 48(9):5522-5530. PubMed ID: 34287940
[TBL] [Abstract][Full Text] [Related]
20. Magnetic resonance radiomic feature performance in pulmonary nodule classification and impact of segmentation variability on radiomics.
Koo CW; Kline TL; Yoon JH; Vercnocke AJ; Johnson MP; Suman G; Lu A; Larson NB
Br J Radiol; 2022 Dec; 95(1140):20220230. PubMed ID: 36367095
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
