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 *

134 related articles for article (PubMed ID: 33846472)

  • 1. Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning.
    Kim JK; Choo YJ; Shin H; Choi GS; Chang MC
    Sci Rep; 2021 Apr; 11(1):7989. PubMed ID: 33846472
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI.
    Heo TS; Kim YS; Choi JM; Jeong YS; Seo SY; Lee JH; Jeon JP; Kim C
    J Pers Med; 2020 Dec; 10(4):. PubMed ID: 33339385
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning Algorithm Trained on Brain Magnetic Resonance Images and Clinical Data to Predict Motor Outcomes of Patients With Corona Radiata Infarct.
    Kim JK; Chang MC; Park D
    Front Neurosci; 2021; 15():795553. PubMed ID: 35046770
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of Motor Outcome of Stroke Patients Using a Deep Learning Algorithm with Brain MRI as Input Data.
    Shin H; Kim JK; Choo YJ; Choi GS; Chang MC
    Eur Neurol; 2022; 85(6):460-466. PubMed ID: 35738236
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
    Saha S; Pagnozzi A; Bourgeat P; George JM; Bradford D; Colditz PB; Boyd RN; Rose SE; Fripp J; Pannek K
    Neuroimage; 2020 Jul; 215():116807. PubMed ID: 32278897
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models.
    Kim JK; Choo YJ; Chang MC
    J Stroke Cerebrovasc Dis; 2021 Aug; 30(8):105856. PubMed ID: 34022582
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study.
    Kiryu S; Yasaka K; Akai H; Nakata Y; Sugomori Y; Hara S; Seo M; Abe O; Ohtomo K
    Eur Radiol; 2019 Dec; 29(12):6891-6899. PubMed ID: 31264017
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.
    Lee JH; Kim DH; Jeong SN; Choi SH
    J Dent; 2018 Oct; 77():106-111. PubMed ID: 30056118
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
    El Adoui M; Drisis S; Benjelloun M
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1491-1500. PubMed ID: 32556920
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.
    Ha R; Chang P; Mutasa S; Karcich J; Goodman S; Blum E; Kalinsky K; Liu MZ; Jambawalikar S
    J Magn Reson Imaging; 2019 Feb; 49(2):518-524. PubMed ID: 30129697
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.
    Ding L; Liu G; Zhang X; Liu S; Li S; Zhang Z; Guo Y; Lu Y
    Cancer Med; 2020 Dec; 9(23):8809-8820. PubMed ID: 32997900
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.
    Lee J; Wang N; Turk S; Mohammed S; Lobo R; Kim J; Liao E; Camelo-Piragua S; Kim M; Junck L; Bapuraj J; Srinivasan A; Rao A
    Sci Rep; 2020 Nov; 10(1):20331. PubMed ID: 33230285
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging.
    Fujioka T; Yashima Y; Oyama J; Mori M; Kubota K; Katsuta L; Kimura K; Yamaga E; Oda G; Nakagawa T; Kitazume Y; Tateishi U
    Magn Reson Imaging; 2021 Jan; 75():1-8. PubMed ID: 33045323
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
    Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
    Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images.
    Hoar D; Lee PQ; Guida A; Patterson S; Bowen CV; Merrimen J; Wang C; Rendon R; Beyea SD; Clarke SE
    Comput Methods Programs Biomed; 2021 Oct; 210():106375. PubMed ID: 34500139
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex.
    Sánchez Fernández I; Yang E; Calvachi P; Amengual-Gual M; Wu JY; Krueger D; Northrup H; Bebin ME; Sahin M; Yu KH; Peters JM;
    PLoS One; 2020; 15(4):e0232376. PubMed ID: 32348367
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A deep learning approach for sepsis monitoring via severity score estimation.
    Aşuroğlu T; Oğul H
    Comput Methods Programs Biomed; 2021 Jan; 198():105816. PubMed ID: 33157471
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning-Derived High-Level Neuroimaging Features Predict Clinical Outcomes for Large Vessel Occlusion.
    Nishi H; Oishi N; Ishii A; Ono I; Ogura T; Sunohara T; Chihara H; Fukumitsu R; Okawa M; Yamana N; Imamura H; Sadamasa N; Hatano T; Nakahara I; Sakai N; Miyamoto S
    Stroke; 2020 May; 51(5):1484-1492. PubMed ID: 32248769
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.
    Cha YJ; Jang WI; Kim MS; Yoo HJ; Paik EK; Jeong HK; Youn SM
    Anticancer Res; 2018 Sep; 38(9):5437-5445. PubMed ID: 30194200
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
    Urban G; Tripathi P; Alkayali T; Mittal M; Jalali F; Karnes W; Baldi P
    Gastroenterology; 2018 Oct; 155(4):1069-1078.e8. PubMed ID: 29928897
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.