BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 35599077)

  • 1. Machine Learning-Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys.
    Zhu L; Huang R; Li M; Fan Q; Zhao X; Wu X; Dong F
    Ultrasound Med Biol; 2022 Aug; 48(8):1441-1452. PubMed ID: 35599077
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Renal Function 1 Year After Transplantation Using Machine Learning Methods Based on Ultrasound Radiomics Combined With Clinical and Imaging Features.
    Zhu L; Huang R; Zhou Z; Fan Q; Yan J; Wan X; Zhao X; He Y; Dong F
    Ultrason Imaging; 2023 Mar; 45(2):85-96. PubMed ID: 36932907
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer.
    Moro F; Albanese M; Boldrini L; Chiappa V; Lenkowicz J; Bertolina F; Mascilini F; Moroni R; Gambacorta MA; Raspagliesi F; Scambia G; Testa AC; Fanfani F
    Ultrasound Obstet Gynecol; 2022 Aug; 60(2):256-268. PubMed ID: 34714568
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
    Cong L; Hua QQ; Huang ZQ; Ma QL; Wang XM; Huang CC; Xu JX; Ma T
    Eur Rev Med Pharmacol Sci; 2021 Sep; 25(18):5769-5780. PubMed ID: 34604968
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Gleason score in prostate cancer patients based on radiomic features of transrectal ultrasound images.
    Cheng T; Li H
    Br J Radiol; 2024 Feb; 97(1154):415-421. PubMed ID: 38308030
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
    Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
    Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An investigation of machine learning methods in delta-radiomics feature analysis.
    Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
    PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.
    Zhang L; Chen Z; Feng L; Guo L; Liu D; Hai J; Qiao K; Chen J; Yan B; Cheng G
    BMC Med Imaging; 2021 Jul; 21(1):115. PubMed ID: 34301205
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
    Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
    Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
    Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H
    Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography.
    Xie Q; Chen Y; Hu Y; Zeng F; Wang P; Xu L; Wu J; Li J; Zhu J; Xiang M; Zeng F
    BMC Med Imaging; 2022 Aug; 22(1):140. PubMed ID: 35941568
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
    Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
    Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Musculoskeletal Ultrasound Image-Based Radiomics for the Diagnosis of Achilles Tendinopathy in Skiers.
    Wang L; Wen D; Yin Y; Zhang P; Wen W; Gao J; Jiang Z
    J Ultrasound Med; 2023 Feb; 42(2):363-371. PubMed ID: 35841273
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer.
    Wu YQ; Gao RZ; Lin P; Wen R; Li HY; Mou MY; Chen FH; Huang F; Zhou WJ; Yang H; He Y; Wu J
    BMC Med Imaging; 2022 May; 22(1):84. PubMed ID: 35538520
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.
    Wildeboer RR; Mannaerts CK; van Sloun RJG; Budäus L; Tilki D; Wijkstra H; Salomon G; Mischi M
    Eur Radiol; 2020 Feb; 30(2):806-815. PubMed ID: 31602512
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
    Wang H; Song B; Ye N; Ren J; Sun X; Dai Z; Zhang Y; Chen BT
    Eur J Radiol; 2020 Jan; 122():108755. PubMed ID: 31783344
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.