PadChest: A large chest x-ray image dataset with multi-label annotated reports

Computer-aided detection in chest radiography based on artificial intelligence: a survey

(2018) Chunli Qin et al.   Biomedical Engineering Online

Learning Eligibility in Cancer Clinical Trials Using Deep Neural Networks

(2018) Aurelia Bustos et al.   Applied Sciences-Basel

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Early Chest Computed Tomography Scan to Assist Diagnosis and Guide Treatment Decision for Suspected Community-acquired Pneumonia

(2015) Yann-Erick Claessens et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Challenges in clinical natural language processing for automated disorder normalization

(2015) Robert Leaman et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Preparing a collection of radiology examinations for distribution and retrieval

(2015) Dina Demner-Fushman et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep learning

(2015) Yann LeCun et al.   NATURE

An overview of MetaMap: historical perspective and recent advances

(2014) Alan R Aronson et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Prostate Cancer Screening in the Randomized Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial: Mortality Results after 13 Years of Follow-up

(2012) G. L. Andriole et al.   JNCI-Journal of the National Cancer Institute

Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations

(2009) Andrzej CICHOCKI et al.   IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUT

Formal representation of eligibility criteria: A literature review

(2009) Chunhua Weng et al.   JOURNAL OF BIOMEDICAL INFORMATICS