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 *

285 related articles for article (PubMed ID: 33230285)

  • 41. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images.
    Naser MA; Deen MJ
    Comput Biol Med; 2020 Jun; 121():103758. PubMed ID: 32568668
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Incidence of Tumour Progression and Pseudoprogression in High-Grade Gliomas: a Systematic Review and Meta-Analysis.
    Abbasi AW; Westerlaan HE; Holtman GA; Aden KM; van Laar PJ; van der Hoorn A
    Clin Neuroradiol; 2018 Sep; 28(3):401-411. PubMed ID: 28466127
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks.
    Ge C; Gu IY; Jakola AS; Yang J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5894-5897. PubMed ID: 30441677
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
    Mzoughi H; Njeh I; Wali A; Slima MB; BenHamida A; Mhiri C; Mahfoudhe KB
    J Digit Imaging; 2020 Aug; 33(4):903-915. PubMed ID: 32440926
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study.
    Gao X; Wang X
    Diagn Interv Imaging; 2020 Feb; 101(2):91-100. PubMed ID: 31375430
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study.
    Amini A; Shayganfar A; Amini Z; Ostovar L; HajiAhmadi S; Chitsaz N; Rabbani M; Kafieh R
    Mult Scler Relat Disord; 2024 Jul; 87():105642. PubMed ID: 38703520
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.
    Di Ieva A; Russo C; Liu S; Jian A; Bai MY; Qian Y; Magnussen JS
    Neuroradiology; 2021 Aug; 63(8):1253-1262. PubMed ID: 33501512
    [TBL] [Abstract][Full Text] [Related]  

  • 48. A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients.
    Moassefi M; Faghani S; Conte GM; Kowalchuk RO; Vahdati S; Crompton DJ; Perez-Vega C; Cabreja RAD; Vora SA; Quiñones-Hinojosa A; Parney IF; Trifiletti DM; Erickson BJ
    J Neurooncol; 2022 Sep; 159(2):447-455. PubMed ID: 35852738
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Deep learning based on dynamic susceptibility contrast MR imaging for prediction of local progression in adult-type diffuse glioma (grade 4).
    Heo D; Lee J; Yoo RE; Choi SH; Kim TM; Park CK; Park SH; Won JK; Lee JH; Lee ST; Choi KS; Lee JY; Hwang I; Kang KM; Yun TJ
    Sci Rep; 2023 Aug; 13(1):13864. PubMed ID: 37620555
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep Learning.
    Wu W; Li J; Ye J; Wang Q; Zhang W; Xu S
    Front Oncol; 2021; 11():639062. PubMed ID: 33791225
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Diagnostic accuracy of proton magnetic resonance spectroscopy and perfusion-weighted imaging in brain gliomas follow-up: a single institutional experience.
    Anselmi M; Catalucci A; Felli V; Vellucci V; Di Sibio A; Gravina GL; Di Staso M; Di Cesare E; Masciocchi C
    Neuroradiol J; 2017 Jun; 30(3):240-252. PubMed ID: 28627984
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
    Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
    Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
    [TBL] [Abstract][Full Text] [Related]  

  • 53. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
    Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
    Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
    [TBL] [Abstract][Full Text] [Related]  

  • 54. A Novel Deep Learning Algorithm for the Automatic Detection of High-Grade Gliomas on T2-Weighted Magnetic Resonance Images: A Preliminary Machine Learning Study.
    Atici MA; Sagiroglu S; Celtikci P; Ucar M; Borcek AO; Emmez H; Celtikci E
    Turk Neurosurg; 2020; 30(2):199-205. PubMed ID: 31608975
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
    Hamm CA; Wang CJ; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Duncan JS; Weinreb JC; Chapiro J; Letzen B
    Eur Radiol; 2019 Jul; 29(7):3338-3347. PubMed ID: 31016442
    [TBL] [Abstract][Full Text] [Related]  

  • 57. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.
    Hu Q; Whitney HM; Giger ML
    Sci Rep; 2020 Jun; 10(1):10536. PubMed ID: 32601367
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Diffusion-weighted MR imaging for the differentiation of true progression from pseudoprogression following concomitant radiotherapy with temozolomide in patients with newly diagnosed high-grade gliomas.
    Lee WJ; Choi SH; Park CK; Yi KS; Kim TM; Lee SH; Kim JH; Sohn CH; Park SH; Kim IH
    Acad Radiol; 2012 Nov; 19(11):1353-61. PubMed ID: 22884399
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
    Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
    J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
    Grøvik E; Yi D; Iv M; Tong E; Rubin D; Zaharchuk G
    J Magn Reson Imaging; 2020 Jan; 51(1):175-182. PubMed ID: 31050074
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.