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 *

119 related articles for article (PubMed ID: 38269944)

  • 1. Whole-Liver Based Deep Learning for Preoperatively Predicting Overall Survival in Patients with Hepatocellular Carcinoma.
    Huang C; Hu P; Tian Y; Wang Y; Gao Y; Qi Q; Zhang Q; Liang T; Li J
    Stud Health Technol Inform; 2024 Jan; 310():926-930. PubMed ID: 38269944
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival
    Huang C; Hu P; Tian Y; Gao Y; Wang Y; Zhang Q; Liang T; Li J
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082797
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.
    Yang Y; Zhou Y; Zhou C; Ma X
    Eur J Surg Oncol; 2022 May; 48(5):1068-1077. PubMed ID: 34862094
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.
    Yan M; Zhang X; Zhang B; Geng Z; Xie C; Yang W; Zhang S; Qi Z; Lin T; Ke Q; Li X; Wang S; Quan X
    Eur Radiol; 2023 Jul; 33(7):4949-4961. PubMed ID: 36786905
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
    Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
    World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study.
    Wang S; Yu H; Gan Y; Wu Z; Li E; Li X; Cao J; Zhu Y; Wang L; Deng H; Xie M; Wang Y; Ma X; Liu D; Chen B; Tian P; Qiu Z; Xian J; Ren J; Wang K; Wei W; Xie F; Li Z; Wang Q; Xue X; Liu Z; Shi J; Li W; Tian J
    Lancet Digit Health; 2022 May; 4(5):e309-e319. PubMed ID: 35341713
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Tumor and peritumor radiomics analysis based on contrast-enhanced CT for predicting early and late recurrence of hepatocellular carcinoma after liver resection.
    Li N; Wan X; Zhang H; Zhang Z; Guo Y; Hong D
    BMC Cancer; 2022 Jun; 22(1):664. PubMed ID: 35715783
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram.
    Xu Z; An C; Shi F; Ren H; Li Y; Chen S; Dou J; Wang Y; Yan S; Lu J; Chen H
    Eur Radiol; 2023 Dec; 33(12):9038-9051. PubMed ID: 37498380
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.
    Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH
    EBioMedicine; 2019 Dec; 50():156-165. PubMed ID: 31735556
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
    Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
    Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation.
    Shan QY; Hu HT; Feng ST; Peng ZP; Chen SL; Zhou Q; Li X; Xie XY; Lu MD; Wang W; Kuang M
    Cancer Imaging; 2019 Feb; 19(1):11. PubMed ID: 30813956
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.
    Song D; Wang Y; Wang W; Wang Y; Cai J; Zhu K; Lv M; Gao Q; Zhou J; Fan J; Rao S; Wang M; Wang X
    J Cancer Res Clin Oncol; 2021 Dec; 147(12):3757-3767. PubMed ID: 33839938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CT radiomics nomogram for the preoperative prediction of severe post-hepatectomy liver failure in patients with huge (≥ 10 cm) hepatocellular carcinoma.
    Xiang F; Liang X; Yang L; Liu X; Yan S
    World J Surg Oncol; 2021 Dec; 19(1):344. PubMed ID: 34895260
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A radiomics-based model can predict recurrence-free survival of hepatocellular carcinoma after curative ablation.
    Peng W; Jiang X; Zhang W; Hu J; Zhang Y; Zhang L
    Asian J Surg; 2023 Jul; 46(7):2689-2696. PubMed ID: 36351862
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides.
    Saillard C; Schmauch B; Laifa O; Moarii M; Toldo S; Zaslavskiy M; Pronier E; Laurent A; Amaddeo G; Regnault H; Sommacale D; Ziol M; Pawlotsky JM; Mulé S; Luciani A; Wainrib G; Clozel T; Courtiol P; Calderaro J
    Hepatology; 2020 Dec; 72(6):2000-2013. PubMed ID: 32108950
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
    Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
    Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
    [TBL] [Abstract][Full Text] [Related]  

  • 17.
    Hu S; Kang Y; Xie Y; Yang T; Yang Y; Jiao J; Zou Q; Zhang H; Zhang Y
    Abdom Radiol (NY); 2023 Feb; 48(2):532-542. PubMed ID: 36370179
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives.
    Feng B; Ma XH; Wang S; Cai W; Liu XB; Zhao XM
    World J Gastroenterol; 2021 Aug; 27(32):5341-5350. PubMed ID: 34539136
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of the OSASH score to predict overall survival of hepatocellular carcinoma after surgical resection: a dual-institutional study.
    Wei H; Fu F; Jiang H; Wu Y; Qin Y; Wei H; Yang T; Wang M; Song B
    Eur Radiol; 2023 Nov; 33(11):7631-7645. PubMed ID: 37191923
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.
    Mokrane FZ; Lu L; Vavasseur A; Otal P; Peron JM; Luk L; Yang H; Ammari S; Saenger Y; Rousseau H; Zhao B; Schwartz LH; Dercle L
    Eur Radiol; 2020 Jan; 30(1):558-570. PubMed ID: 31444598
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.