BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

215 related articles for article (PubMed ID: 37437435)

  • 1. Non-contrast CT radiomics and machine learning for outcomes prediction of patients with acute ischemic stroke receiving conventional treatment.
    Zhang L; Wu J; Yu R; Xu R; Yang J; Fan Q; Wang D; Zhang W
    Eur J Radiol; 2023 Aug; 165():110959. PubMed ID: 37437435
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke.
    Zhou Y; Wu D; Yan S; Xie Y; Zhang S; Lv W; Qin Y; Liu Y; Liu C; Lu J; Li J; Zhu H; Liu WV; Liu H; Zhang G; Zhu W
    Korean J Radiol; 2022 Aug; 23(8):811-820. PubMed ID: 35695316
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.
    Qiu W; Kuang H; Nair J; Assis Z; Najm M; McDougall C; McDougall B; Chung K; Wilson AT; Goyal M; Hill MD; Demchuk AM; Menon BK
    AJNR Am J Neuroradiol; 2019 Jan; 40(1):39-44. PubMed ID: 30573458
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining machine learning with radiomics features in predicting outcomes after mechanical thrombectomy in patients with acute ischemic stroke.
    Li Y; Liu Y; Hong Z; Wang Y; Lu X
    Comput Methods Programs Biomed; 2022 Oct; 225():107093. PubMed ID: 36055039
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A radiomics feature-based machine learning models to detect brainstem infarction (RMEBI) may enable early diagnosis in non-contrast enhanced CT.
    Zhang H; Chen H; Zhang C; Cao A; Lu Q; Wu H; Zhang J; Geng D
    Eur Radiol; 2023 Feb; 33(2):1004-1014. PubMed ID: 36169689
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Differentiation of acute and chronic vertebral compression fractures using conventional CT based on deep transfer learning features and hand-crafted radiomics features.
    Zhang J; Liu J; Liang Z; Xia L; Zhang W; Xing Y; Zhang X; Tang G
    BMC Musculoskelet Disord; 2023 Mar; 24(1):165. PubMed ID: 36879285
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics.
    Liu J; Wu Y; Jia W; Han M; Chen Y; Li J; Wu B; Yin S; Zhang X; Chen J; Yu P; Luo H; Tu J; Zhou F; Cheng X; Yi Y
    Front Neurosci; 2023; 17():1110579. PubMed ID: 37214402
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning.
    Brugnara G; Neuberger U; Mahmutoglu MA; Foltyn M; Herweh C; Nagel S; Schönenberger S; Heiland S; Ulfert C; Ringleb PA; Bendszus M; Möhlenbruch MA; Pfaff JAR; Vollmuth P
    Stroke; 2020 Dec; 51(12):3541-3551. PubMed ID: 33040701
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors.
    Zheng Y; Zhou D; Liu H; Wen M
    Eur Radiol; 2022 Oct; 32(10):6953-6964. PubMed ID: 35484339
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
    Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
    JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100.
    Jiang B; Zhu G; Xie Y; Heit JJ; Chen H; Li Y; Ding V; Eskandari A; Michel P; Zaharchuk G; Wintermark M
    AJNR Am J Neuroradiol; 2021 Jan; 42(2):240-246. PubMed ID: 33414230
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics Analysis of Computed Tomography for Prediction of Thyroid Capsule Invasion in Papillary Thyroid Carcinoma: A Multi-Classifier and Two-Center Study.
    Wu X; Yu P; Jia C; Mao N; Che K; Li G; Zhang H; Mou Y; Song X
    Front Endocrinol (Lausanne); 2022; 13():849065. PubMed ID: 35692398
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Contrast-enhanced computed tomography radiomics in predicting primary site response to neoadjuvant chemotherapy in high-risk neuroblastoma.
    Wang H; Qin J; Chen X; Zhang T; Zhang L; Ding H; Pan Z; He L
    Abdom Radiol (NY); 2023 Mar; 48(3):976-986. PubMed ID: 36571609
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of hemorrhagic transformation via pre-treatment CT radiomics in acute ischemic stroke patients receiving endovascular therapy.
    Wen X; Xiao Y; Hu X; Chen J; Song F
    Br J Radiol; 2023 Jul; 96(1147):20220439. PubMed ID: 37086070
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of Early Perihematomal Edema Expansion Based on Noncontrast Computed Tomography Radiomics and Machine Learning in Intracerebral Hemorrhage.
    Li YL; Chen C; Zhang LJ; Zheng YN; Lv XN; Zhao LB; Li Q; Lv FJ
    World Neurosurg; 2023 Jul; 175():e264-e270. PubMed ID: 36958717
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion.
    Chen Q; Fu C; Qiu X; He J; Zhao T; Zhang Q; Hu X; Hu H
    Clin Radiol; 2024 Jan; 79(1):e26-e33. PubMed ID: 37926647
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
    Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
    Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of early invisible acute ischemic stroke in non-contrast computed tomography using two-stage deep-learning model.
    Lu J; Zhou Y; Lv W; Zhu H; Tian T; Yan S; Xie Y; Wu D; Li Y; Liu Y; Gao L; Fan W; Nan Y; Zhang S; Peng X; Zhang G; Zhu W
    Theranostics; 2022; 12(12):5564-5573. PubMed ID: 35910809
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.