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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1522-1534

2018

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Deep learning in chest radiography: Detection of findings and presence of change

PloS one, 2018-10, Vol.13 (10), p.e0204155-e0204155

2018

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Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT

American journal of roentgenology (1976), 2020-03, Vol.214 (3), p.566-573

2020

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CT radiation dose and iterative reconstruction techniques

American journal of roentgenology (1976), 2015-04, Vol.204 (4), p.W384-W392

2015

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Chest CT practice and protocols for COVID-19 from radiation dose management perspective

European radiology, 2020-12, Vol.30 (12), p.6554-6560

2020

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Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

Nature machine intelligence, 2019-06, Vol.1 (6), p.269-276

2019

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Clinical and imaging features predict mortality in COVID-19 infection in Iran

PloS one, 2020-09, Vol.15 (9), p.e0239519-e0239519

2020

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FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

Academic radiology, 2022-04, Vol.29 (4), p.559-566

2022

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A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing

Medical physics (Lancaster), 2020-06, Vol.47 (6), p.2526-2536

2020

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Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

Nature communications, 2021-05, Vol.12 (1), p.2963-2963, Article 2963

2021

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Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques

Radiology, 2010-11, Vol.257 (2), p.373-383

2010

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AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

European radiology, 2021-12, Vol.31 (12), p.9664-9674

2021

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Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study

Radiology, 2011-05, Vol.259 (2), p.565-573

2011

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CT Radiation: Key Concepts for Gentle and Wise Use

Radiographics, 2015-10, Vol.35 (6), p.1706-1721

2015

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Integrative analysis for COVID-19 patient outcome prediction

Medical image analysis, 2021-01, Vol.67, p.101844-101844, Article 101844

2021

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Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

Nature communications, 2022-04, Vol.13 (1), p.1867-15, Article 1867

2022

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Tube potential and CT radiation dose optimization

American journal of roentgenology (1976), 2015-01, Vol.204 (1), p.W4-W10

2015

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Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors

PloS one, 2022-08, Vol.17 (8), p.e0273227-e0273227

2022

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Characterization of adrenal masses by using FDG PET: a systematic review and meta-analysis of diagnostic test performance

Radiology, 2011-04, Vol.259 (1), p.117-126

2011

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Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs

JAMA network open, 2020-09, Vol.3 (9), p.e2017135-e2017135

2020

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Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans

Diagnostics (Basel), 2022-09, Vol.12 (9), p.2132

2022

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Validation pipeline for machine learning algorithm assessment for multiple vendors

PloS one, 2022-04, Vol.17 (4), p.e0267213-e0267213

2022

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Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT

Japanese journal of radiology, 2023-02, Vol.41 (2), p.194-200

2023

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Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study

Scientific reports, 2021-01, Vol.11 (1), p.858-858, Article 858

2021

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GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides

Scientific reports, 2024-03, Vol.14 (1), p.7154-26, Article 7154

2024

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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

Deep learning in chest radiography: Detection of findings and presence of change

Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT

CT radiation dose and iterative reconstruction techniques

Chest CT practice and protocols for COVID-19 from radiation dose management perspective

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

Clinical and imaging features predict mortality in COVID-19 infection in Iran

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques

AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study

CT Radiation: Key Concepts for Gentle and Wise Use

Integrative analysis for COVID-19 patient outcome prediction

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

Tube potential and CT radiation dose optimization

Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors

Characterization of adrenal masses by using FDG PET: a systematic review and meta-analysis of diagnostic test performance

Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs

Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans

Validation pipeline for machine learning algorithm assessment for multiple vendors

Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study

GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides

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