These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

232 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]
    of 12.