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 *

160 related articles for article (PubMed ID: 38568950)

  • 1. Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
    Wang L; Wang H; D'Angelo F; Curtin L; Sereduk CP; Leon G; Singleton KW; Urcuyo J; Hawkins-Daarud A; Jackson PR; Krishna C; Zimmerman RS; Patra DP; Bendok BR; Smith KA; Nakaji P; Donev K; Baxter LC; Mrugała MM; Ceccarelli M; Iavarone A; Swanson KR; Tran NL; Hu LS; Li J
    PLoS One; 2024; 19(4):e0299267. PubMed ID: 38568950
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
    Hu LS; Ning S; Eschbacher JM; Baxter LC; Gaw N; Ranjbar S; Plasencia J; Dueck AC; Peng S; Smith KA; Nakaji P; Karis JP; Quarles CC; Wu T; Loftus JC; Jenkins RB; Sicotte H; Kollmeyer TM; O'Neill BP; Elmquist W; Hoxworth JM; Frakes D; Sarkaria J; Swanson KR; Tran NL; Li J; Mitchell JR
    Neuro Oncol; 2017 Jan; 19(1):128-137. PubMed ID: 27502248
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma.
    Hu LS; Ning S; Eschbacher JM; Gaw N; Dueck AC; Smith KA; Nakaji P; Plasencia J; Ranjbar S; Price SJ; Tran N; Loftus J; Jenkins R; O'Neill BP; Elmquist W; Baxter LC; Gao F; Frakes D; Karis JP; Zwart C; Swanson KR; Sarkaria J; Wu T; Mitchell JR; Li J
    PLoS One; 2015; 10(11):e0141506. PubMed ID: 26599106
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma.
    Hu LS; Wang L; Hawkins-Daarud A; Eschbacher JM; Singleton KW; Jackson PR; Clark-Swanson K; Sereduk CP; Peng S; Wang P; Wang J; Baxter LC; Smith KA; Mazza GL; Stokes AM; Bendok BR; Zimmerman RS; Krishna C; Porter AB; Mrugala MM; Hoxworth JM; Wu T; Tran NL; Swanson KR; Li J
    Sci Rep; 2021 Feb; 11(1):3932. PubMed ID: 33594116
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and validation of a multi-modality fusion deep learning model for differentiating glioblastoma from solitary brain metastases.
    Shen S; Li C; Fan Y; Lu S; Yan Z; Liu H; Zhou H; Zhang Z
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2024 Jan; 49(1):58-67. PubMed ID: 38615167
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of IDH1 Mutation Status in Glioblastoma Using Machine Learning Technique Based on Quantitative Radiomic Data.
    Lee MH; Kim J; Kim ST; Shin HM; You HJ; Choi JW; Seol HJ; Nam DH; Lee JI; Kong DS
    World Neurosurg; 2019 May; 125():e688-e696. PubMed ID: 30735871
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A generalized parametric response mapping method for analysis of multi-parametric imaging: A feasibility study with application to glioblastoma.
    Lausch A; Yeung TP; Chen J; Law E; Wang Y; Urbini B; Donelli F; Manco L; Fainardi E; Lee TY; Wong E
    Med Phys; 2017 Nov; 44(11):6074-6084. PubMed ID: 28875538
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis.
    Liu Y; Zhang X; Feng N; Yin L; He Y; Xu X; Lu H
    Acta Radiol; 2018 Oct; 59(10):1239-1246. PubMed ID: 29430935
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics for precision medicine in glioblastoma.
    Aftab K; Aamir FB; Mallick S; Mubarak F; Pope WB; Mikkelsen T; Rock JP; Enam SA
    J Neurooncol; 2022 Jan; 156(2):217-231. PubMed ID: 35020109
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI.
    Gaw N; Hawkins-Daarud A; Hu LS; Yoon H; Wang L; Xu Y; Jackson PR; Singleton KW; Baxter LC; Eschbacher J; Gonzales A; Nespodzany A; Smith K; Nakaji P; Mitchell JR; Wu T; Swanson KR; Li J
    Sci Rep; 2019 Jul; 9(1):10063. PubMed ID: 31296889
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach.
    Do DT; Yang MR; Lam LHT; Le NQK; Wu YW
    Sci Rep; 2022 Aug; 12(1):13412. PubMed ID: 35927323
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.
    Gatidis S; Scharpf M; Martirosian P; Bezrukov I; Küstner T; Hennenlotter J; Kruck S; Kaufmann S; Schraml C; la Fougère C; Schwenzer NF; Schmidt H
    NMR Biomed; 2015 Jul; 28(7):914-22. PubMed ID: 26014883
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.
    Vidić I; Egnell L; Jerome NP; Teruel JR; Sjøbakk TE; Østlie A; Fjøsne HE; Bathen TF; Goa PE
    J Magn Reson Imaging; 2018 May; 47(5):1205-1216. PubMed ID: 29044896
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging.
    Li Y; Liang Y; Sun Z; Xu K; Fan X; Li S; Zhang Z; Jiang T; Liu X; Wang Y
    Neuroradiology; 2019 Nov; 61(11):1229-1237. PubMed ID: 31218383
    [TBL] [Abstract][Full Text] [Related]  

  • 15. In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.
    Akbari H; Bakas S; Pisapia JM; Nasrallah MP; Rozycki M; Martinez-Lage M; Morrissette JJD; Dahmane N; O'Rourke DM; Davatzikos C
    Neuro Oncol; 2018 Jul; 20(8):1068-1079. PubMed ID: 29617843
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.
    Nanmaran R; Srimathi S; Yamuna G; Thanigaivel S; Vickram AS; Priya AK; Karthick A; Karpagam J; Mohanavel V; Muhibbullah M
    Comput Math Methods Med; 2022; 2022():7137524. PubMed ID: 35178119
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
    Liao X; Cai B; Tian B; Luo Y; Song W; Li Y
    J Cell Mol Med; 2019 Jun; 23(6):4375-4385. PubMed ID: 31001929
    [TBL] [Abstract][Full Text] [Related]  

  • 18. AI Deployment on GBM Diagnosis: A Novel Approach to Analyze Histopathological Images Using Image Feature-Based Analysis.
    Cheung EYW; Wu RWK; Li ASM; Chu ESM
    Cancers (Basel); 2023 Oct; 15(20):. PubMed ID: 37894430
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features.
    Kickingereder P; Bonekamp D; Nowosielski M; Kratz A; Sill M; Burth S; Wick A; Eidel O; Schlemmer HP; Radbruch A; Debus J; Herold-Mende C; Unterberg A; Jones D; Pfister S; Wick W; von Deimling A; Bendszus M; Capper D
    Radiology; 2016 Dec; 281(3):907-918. PubMed ID: 27636026
    [TBL] [Abstract][Full Text] [Related]  

  • 20. DC-AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet.
    Li M; Tang H; Chan MD; Zhou X; Qian X
    Med Phys; 2020 Mar; 47(3):1139-1150. PubMed ID: 31885094
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.