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 *

252 related articles for article (PubMed ID: 37050682)

  • 21. Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images.
    Suh CH; Shim WH; Kim SJ; Roh JH; Lee JH; Kim MJ; Park S; Jung W; Sung J; Jahng GH;
    AJNR Am J Neuroradiol; 2020 Dec; 41(12):2227-2234. PubMed ID: 33154073
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data.
    Baecker L; Dafflon J; da Costa PF; Garcia-Dias R; Vieira S; Scarpazza C; Calhoun VD; Sato JR; Mechelli A; Pinaya WHL
    Hum Brain Mapp; 2021 Jun; 42(8):2332-2346. PubMed ID: 33738883
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
    Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability.
    Rasero J; Sentis AI; Yeh FC; Verstynen T
    PLoS Comput Biol; 2021 Mar; 17(3):e1008347. PubMed ID: 33667224
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
    Cao P; Liu X; Liu H; Yang J; Zhao D; Huang M; Zaiane O
    Comput Methods Programs Biomed; 2018 Aug; 162():19-45. PubMed ID: 29903486
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease.
    Zhang D; Shen D;
    Neuroimage; 2012 Jan; 59(2):895-907. PubMed ID: 21992749
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
    Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
    Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
    Kandemirli SG; Kocak B; Naganawa S; Ozturk K; Yip SSF; Chopra S; Rivetti L; Aldine AS; Jones K; Cayci Z; Moritani T; Sato TS
    World Neurosurg; 2021 Jul; 151():e78-e85. PubMed ID: 33819703
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.
    Matsuo K; Aihara H; Nakai T; Morishita A; Tohma Y; Kohmura E
    J Neurotrauma; 2020 Jan; 37(1):202-210. PubMed ID: 31359814
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework.
    Kuo CY; Tai TM; Lee PL; Tseng CW; Chen CY; Chen LK; Lee CK; Chou KH; See S; Lin CP
    Front Psychiatry; 2021; 12():626677. PubMed ID: 33833699
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting.
    Wood DA; Townend M; Guilhem E; Kafiabadi S; Hammam A; Wei Y; Al Busaidi A; Mazumder A; Sasieni P; Barker GJ; Ourselin S; Cole JH; Booth TC
    Hum Brain Mapp; 2024 Mar; 45(4):e26625. PubMed ID: 38433665
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
    Cole JH; Poudel RPK; Tsagkrasoulis D; Caan MWA; Steves C; Spector TD; Montana G
    Neuroimage; 2017 Dec; 163():115-124. PubMed ID: 28765056
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Machine Learning Models for the Hearing Impairment Prediction in Workers Exposed to Complex Industrial Noise: A Pilot Study.
    Zhao Y; Li J; Zhang M; Lu Y; Xie H; Tian Y; Qiu W
    Ear Hear; 2019; 40(3):690-699. PubMed ID: 30142102
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study.
    O'Driscoll R; Turicchi J; Hopkins M; Duarte C; Horgan GW; Finlayson G; Stubbs RJ
    JMIR Mhealth Uhealth; 2021 Aug; 9(8):e23938. PubMed ID: 34346890
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Quantifying performance of machine learning methods for neuroimaging data.
    Jollans L; Boyle R; Artiges E; Banaschewski T; Desrivières S; Grigis A; Martinot JL; Paus T; Smolka MN; Walter H; Schumann G; Garavan H; Whelan R
    Neuroimage; 2019 Oct; 199():351-365. PubMed ID: 31173905
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.
    Nakagawa M; Nakaura T; Namimoto T; Iyama Y; Kidoh M; Hirata K; Nagayama Y; Yuki H; Oda S; Utsunomiya D; Yamashita Y
    Acad Radiol; 2019 Oct; 26(10):1390-1399. PubMed ID: 30661978
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions.
    Vanhaeren T; Divina F; García-Torres M; Gómez-Vela F; Vanhoof W; Martínez-García PM
    Genes (Basel); 2020 Aug; 11(9):. PubMed ID: 32847102
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
    Afrash MR; Mirbagheri E; Mashoufi M; Kazemi-Arpanahi H
    BMC Med Inform Decis Mak; 2023 Apr; 23(1):54. PubMed ID: 37024885
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.