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Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

Applied sciences, 2018-10, Vol.8 (10), p.1715

2018

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Automatic Tuberculosis Screening Using Chest Radiographs

IEEE transactions on medical imaging, 2014-02, Vol.33 (2), p.233-245

2014

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A review on lung boundary detection in chest X-rays

International journal for computer assisted radiology and surgery, 2019-04, Vol.14 (4), p.563-576

2019

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Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning

Journal of digital imaging, 2020-04, Vol.33 (2), p.431-438

2020

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Hybrid Automatic Lung Segmentation on Chest CT Scans

IEEE access, 2020, Vol.8, p.73293-73306

2020

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Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features

Tomography (Ann Arbor), 2022-07, Vol.8 (4), p.1791-1803

2022

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Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use

Journal of digital imaging, 2021-06, Vol.34 (3), p.554-571

2021

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Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT

Information (Basel), 2022-09, Vol.13 (9), p.412

2022

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Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

IEEE transactions on medical imaging, 2014-02, Vol.33 (2), p.577-590

2014

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Two public chest X-ray datasets for computer-aided screening of pulmonary diseases

Quantitative imaging in medicine and surgery, 2014-12, Vol.4 (6), p.475-477

2014

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Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs

Journal of medical systems, 2018-08, Vol.42 (8), p.146-11, Article 146

2018

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RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor

Image and vision computing, 2015-10, Vol.42, p.1-12

2015

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Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios

Radiology. Artificial intelligence, 2021-11, Vol.3 (6), p.e210014-e210014

2021

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Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network

Computerized medical imaging and graphics, 2020-07, Vol.83, p.101721-10, Article 101721

2020

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Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays

International journal for computer assisted radiology and surgery, 2016-01, Vol.11 (1), p.99-106

2016

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Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data

Alzheimer disease and associated disorders, 2021-01, Vol.35 (1), p.1-7

2021

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Detecting drug-resistant tuberculosis in chest radiographs

International journal for computer assisted radiology and surgery, 2018-12, Vol.13 (12), p.1915-1925

2018

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Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks

Journal of digital imaging, 2023-12, Vol.36 (6), p.2507-2518

2023

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Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information

2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018, p.357-362

2018

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Atlas-based rib-bone detection in chest X-rays

Computerized medical imaging and graphics, 2016-07, Vol.51, p.32-39

2016

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Automatic screening for tuberculosis in chest radiographs: a survey

Quantitative imaging in medicine and surgery, 2013-04, Vol.3 (2), p.89-99

2013

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Novel Method for Storyboarding Biomedical Videos for Medical Informatics

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017, p.127-132

2017

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A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence

Radiology. Artificial intelligence, 2019-11, Vol.1 (6), p.e180095-e180095

2019

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Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control

International journal of pattern recognition and artificial intelligence, 2015-03, Vol.29 (2), p.1557001

2015

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Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis

Journal of medical imaging (Bellingham, Wash.), 2020-07, Vol.7 (4), p.044501-044501

2020

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Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

Automatic Tuberculosis Screening Using Chest Radiographs

A review on lung boundary detection in chest X-rays

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning

Hybrid Automatic Lung Segmentation on Chest CT Scans

Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features

Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use

Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

Two public chest X-ray datasets for computer-aided screening of pulmonary diseases

Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs

RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor

Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios

Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays

Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data

Detecting drug-resistant tuberculosis in chest radiographs

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks

Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information

Atlas-based rib-bone detection in chest X-rays

Automatic screening for tuberculosis in chest radiographs: a survey

Novel Method for Storyboarding Biomedical Videos for Medical Informatics

A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence

Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control

Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis

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