BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 37987856)

  • 1. Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.
    Zhang Y; Wu C; Du J; Xiao Z; Lv F; Liu Y
    Abdom Radiol (NY); 2024 Jan; 49(1):258-270. PubMed ID: 37987856
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
    Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
    EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Deep Learning Radiomics Nomogram to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Cervical Cancer: A Two-Center Study.
    Zhang Y; Wu C; Xiao Z; Lv F; Liu Y
    Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980381
    [No Abstract]   [Full Text] [Related]  

  • 4. Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinoma.
    Xiao ML; Fu L; Wei Y; Liu AE; Cheng JJ; Ma FH; Li HM; Li YA; Lin ZJ; Zhang GF; Qiang JW
    Eur Radiol; 2024 Feb; 34(2):852-862. PubMed ID: 37610442
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X
    Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
    Zhang J; Xia L; Tang J; Xia J; Liu Y; Zhang W; Liu J; Liang Z; Zhang X; Zhang L; Tang G
    Acad Radiol; 2024 May; 31(5):2011-2026. PubMed ID: 38016821
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma.
    Zhang XF; Wu HY; Liang XW; Chen JL; Li J; Zhang S; Liu Z
    BMC Womens Health; 2024 Mar; 24(1):182. PubMed ID: 38504245
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.
    Nie P; Yang G; Wang Y; Xu Y; Yan L; Zhang M; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Wang N; Duan S; Wang X; Wang Z
    Eur Radiol; 2023 Dec; 33(12):8858-8868. PubMed ID: 37389608
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.
    Wang T; Gao T; Yang J; Yan X; Wang Y; Zhou X; Tian J; Huang L; Zhang M
    Eur J Radiol; 2019 May; 114():128-135. PubMed ID: 31005162
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
    Zhang J; Yin W; Yang L; Yao X
    Mol Imaging Biol; 2024 Feb; 26(1):90-100. PubMed ID: 37563517
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study.
    Tian Z; Cheng Y; Zhao S; Li R; Zhou J; Sun Q; Wang D
    Cancer Imaging; 2024 Apr; 24(1):52. PubMed ID: 38627828
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MRI-based peritumoral radiomics analysis for preoperative prediction of lymph node metastasis in early-stage cervical cancer: A multi-center study.
    Shi J; Dong Y; Jiang W; Qin F; Wang X; Cui L; Liu Y; Jin Y; Luo Y; Jiang X
    Magn Reson Imaging; 2022 May; 88():1-8. PubMed ID: 34968703
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.
    Wang T; Gao T; Guo H; Wang Y; Zhou X; Tian J; Huang L; Zhang M
    Eur Radiol; 2020 Jun; 30(6):3585-3593. PubMed ID: 32065284
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of
    Yu J; Zhang Y; Zheng J; Jia M; Lu X
    Front Endocrinol (Lausanne); 2022; 13():1062571. PubMed ID: 36605945
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study.
    Zhou H; Bai HX; Jiao Z; Cui B; Wu J; Zheng H; Yang H; Liao W
    Eur J Radiol; 2023 Nov; 168():111136. PubMed ID: 37832194
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
    Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
    J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study.
    Song H; Yang S; Yu B; Li N; Huang Y; Sun R; Wang B; Nie P; Hou F; Huang C; Zhang M; Wang H
    Cancer Imaging; 2023 Sep; 23(1):89. PubMed ID: 37723572
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer.
    Cui L; Yu T; Kan Y; Dong Y; Luo Y; Jiang X
    Diagn Interv Radiol; 2022 Jul; 28(4):312-321. PubMed ID: 35731710
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.
    Wei Z; Liu H; Xv Y; Liao F; He Q; Xie Y; Lv F; Jiang Q; Xiao M
    Heliyon; 2024 Jan; 10(2):e24878. PubMed ID: 38304824
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
    Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
    Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.