Last Posted: Oct 10, 2019
- Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques.
Montoya Perez Ileana et al. Journal of magnetic resonance imaging : JMRI 2019 Oct - Machine Learning in Epidemiology and Health Outcomes Research.
Wiemken Timothy L et al. Annual review of public health 2019 Oct - A deep learning framework for automatic diagnosis of unipolar depression.
Mumtaz Wajid et al. International journal of medical informatics 2019 Sep 132103983 - An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Senders Joeky T et al. Neurosurgery 2019 Oct - ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.
Raczkowski Lukasz et al. Scientific reports 2019 Oct 9(1) 14347 - Can machine learning improve patient selection for cardiac resynchronization therapy?
Hu Szu-Yeu et al. PloS one 2019 14(10) e0222397 - Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis.
Tran Bach Xuan et al. JMIR medical informatics 2019 Sep 7(4) e14401 - Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study.
Sena Gabrielle Ribeiro et al. JMIR cancer 2019 Sep 5(2) e12163 - Differentiating Noninvasive Follicular Thyroid Neoplasm with Papillary-Like Nuclear Features from Classic Papillary Thyroid Carcinoma: Analysis of Cytomorphologic Descriptions Using a Novel Machine-Learning Approach.
Maleki Sara et al. Journal of pathology informatics 2019 1029 - Independent brain 18 F-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks.
Armanious Karim et al. Hellenic journal of nuclear medicine 2019 Oct
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