Discriminative ensemble learning for few-shot chest x-ray diagnosis

Generalizing from a Few Examples

(2020) Yaqing Wang et al.   ACM COMPUTING SURVEYS

Reinforced quasi-random forest

(2019) Angshuman Paul et al.   PATTERN RECOGNITION

‘Squeeze & excite’ guided few-shot segmentation of volumetric images

(2019) Abhijit Guha Roy et al.   MEDICAL IMAGE ANALYSIS

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

(2019) Alistair E. W. Johnson et al.   Scientific Data

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

(2018) James H. Thrall et al.   Journal of the American College of Radiology

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

(2018) Ju Gang Nam et al.   RADIOLOGY

DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs

(2018) Yifan Peng et al.   OPHTHALMOLOGY

Deep neural network improves fracture detection by clinicians

(2018) Robert Lindsey et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study

(2018) Andrew G. Taylor et al.   PLOS MEDICINE

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks

(2018) Hojjat Salehinejad et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

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

Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance

(2010) Bartjan de Hoop et al.   RADIOLOGY

The National Lung Screening Trial: Overview and Study Design

(2010)   RADIOLOGY