Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 38568950)

  • 21. Development of A Radiomic Model for
    Doniselli FM; Pascuzzo R; Agrò M; Aquino D; Anghileri E; Farinotti M; Pollo B; Paterra R; Cuccarini V; Moscatelli M; DiMeco F; Sconfienza LM
    Int J Mol Sci; 2023 Dec; 25(1):. PubMed ID: 38203308
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors.
    Chen B; Zhang L; Chen H; Liang K; Chen X
    Comput Methods Programs Biomed; 2021 Mar; 200():105797. PubMed ID: 33317871
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
    Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
    Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
    [TBL] [Abstract][Full Text] [Related]  

  • 24. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.
    Choi Y; Nam Y; Lee YS; Kim J; Ahn KJ; Jang J; Shin NY; Kim BS; Jeon SS
    Eur J Radiol; 2020 Jul; 128():109031. PubMed ID: 32417712
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.
    Nguyen AV; Blears EE; Ross E; Lall RR; Ortega-Barnett J
    Neurosurg Focus; 2018 Nov; 45(5):E5. PubMed ID: 30453459
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Voxelwise Prediction of Recurrent High-Grade Glioma via Proximity Estimation-Coupled Multidimensional Support Vector Machine.
    Lao Y; Ruan D; Vassantachart A; Fan Z; Ye JC; Chang EL; Chin R; Kaprealian T; Zada G; Shiroishi MS; Sheng K; Yang W
    Int J Radiat Oncol Biol Phys; 2022 Apr; 112(5):1279-1287. PubMed ID: 34963559
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.
    Sun H; Qu H; Chen L; Wang W; Liao Y; Zou L; Zhou Z; Wang X; Zhou S
    Eur Radiol; 2019 Nov; 29(11):6152-6162. PubMed ID: 31444599
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma.
    Lu Y; Patel M; Natarajan K; Ughratdar I; Sanghera P; Jena R; Watts C; Sawlani V
    Magn Reson Imaging; 2020 Dec; 74():161-170. PubMed ID: 32980505
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
    Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
    Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Voxel-based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI.
    Gholizadeh N; Simpson J; Ramadan S; Denham J; Lau P; Siddique S; Dowling J; Welsh J; Chalup S; Greer PB
    J Appl Clin Med Phys; 2020 Oct; 21(10):179-191. PubMed ID: 32770600
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction.
    Zhou M; Chaudhury B; Hall LO; Goldgof DB; Gillies RJ; Gatenby RA
    J Magn Reson Imaging; 2017 Jul; 46(1):115-123. PubMed ID: 27678245
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation.
    Bhattacharjee R; Gupta M; Singh T; Sharma S; Khanna G; Parvaze SP; Patir R; Vaishya S; Ahlawat S; Singh A; Gupta RK
    Neuroradiology; 2022 Sep; 64(9):1801-1818. PubMed ID: 35435463
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
    Zhang X; Lu H; Tian Q; Feng N; Yin L; Xu X; Du P; Liu Y
    Eur Radiol; 2019 Oct; 29(10):5528-5538. PubMed ID: 30847586
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Effect of intra- and inter-tumoral heterogeneity on molecular characteristics of primary IDH-wild type glioblastoma revealed by single-cell analysis.
    Xiong Z; Yang Q; Li X
    CNS Neurosci Ther; 2020 Sep; 26(9):981-989. PubMed ID: 32488994
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Breast Cancer Subtypes Classification with Hybrid Machine Learning Model.
    Sarkar S; Mali K
    Methods Inf Med; 2022 Sep; 61(3-04):68-83. PubMed ID: 36096144
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
    Zhang Y; Liu S
    Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
    [TBL] [Abstract][Full Text] [Related]  

  • 38. MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas.
    Korfiatis P; Kline TL; Coufalova L; Lachance DH; Parney IF; Carter RE; Buckner JC; Erickson BJ
    Med Phys; 2016 Jun; 43(6):2835-2844. PubMed ID: 27277032
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.
    Yang D; Rao G; Martinez J; Veeraraghavan A; Rao A
    Med Phys; 2015 Nov; 42(11):6725-35. PubMed ID: 26520762
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T
    Sun YZ; Yan LF; Han Y; Nan HY; Xiao G; Tian Q; Pu WH; Li ZY; Wei XC; Wang W; Cui GB
    BMC Med Imaging; 2021 Feb; 21(1):17. PubMed ID: 33535988
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.