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Deep learning to estimate lung disease mortality from chest radiographs

Nature communications, 2023-05, Vol.14 (1), p.2797-2797, Article 2797

2023

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Association Between Immune Checkpoint Inhibitors with Cardiovascular Events and Atherosclerotic Plaque

Circulation (New York, N.Y.), 2020-12, Vol.142 (24), p.2299-2311

2020

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Deep Learning to Estimate Biological Age From Chest Radiographs

JACC. Cardiovascular imaging, 2021-11, Vol.14 (11), p.2226-2236

2021

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Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model

Annals of internal medicine, 2020-11, Vol.173 (9), p.704

2020

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Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models

Thorax, 2019-07, Vol.74 (7), p.643

2019

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Deep Learning Analysis of Chest Radiographs to Triage Patients with Acute Chest Pain Syndrome

Radiology, 2023-02, Vol.306 (2), p.e221926-e221926

2023

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Microvascular Outcomes in Women With a History of Hypertension in Pregnancy

Circulation (New York, N.Y.), 2022-02, Vol.145 (7), p.552-554

2022

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Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations

Radiology, 2022-10, Vol.305 (1), p.212877-218

2022

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Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature

Circulation (New York, N.Y.), 2022-01, Vol.145 (2), p.134-150

2022

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piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks

Bioinformatics, 2018-09, Vol.34 (17), p.i848-i856

2018

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Immune checkpoint inhibitors for cancer and venous thromboembolic events

European journal of cancer (1990), 2021-11, Vol.158, p.99-110

2021

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Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study

Annals of internal medicine, 2024-04, Vol.177 (4), p.409

2024

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Biomarker identification for statin sensitivity of cancer cell lines

Biochemical and biophysical research communications, 2018-01, Vol.495 (1), p.659-665

2018

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CausalMGM: an interactive web-based causal discovery tool

Nucleic acids research, 2020-07, Vol.48 (W1), p.W597

2020

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Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis

Bioinformatics, 2019-04, Vol.35 (7), p.1204-1212

2019

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Deep Learning to Predict Mortality After Cardiothoracic Surgery Using Preoperative Chest Radiographs

The Annals of thoracic surgery, 2023-01, Vol.115 (1), p.257-264

2023

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Can deep learning classify stroke subtypes from chest X-rays?

EBioMedicine, 2021-08, Vol.70, p.103517-103517, Article 103517

2021

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Pericardial disease in patients treated with immune checkpoint inhibitors

Journal for immunotherapy of cancer, 2021-06, Vol.9 (6), p.e002771

2021

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Chest Radiographs: A New Form of Identification?

Radiology. Artificial intelligence, 2023-11, Vol.5 (6), p.e230397-e230397

2023

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Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis

2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017, p.1525-1532

2017

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Photoreceptor Layer Thinning Is an Early Biomarker for Age-Related Macular Degeneration

Ophthalmology (Rochester, Minn.), 2022-06, Vol.129 (6), p.694-707

2022

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External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs

Radiology. Artificial intelligence, 2024-09, Vol.6 (5), p.e230433

2024

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Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers

Communications medicine, 2024-03, Vol.4 (1), p.44-44, Article 44

2024

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The Incidence, Risk Factors, and Outcomes With 5-Fluorouracil–Associated Coronary Vasospasm

JACC CardioOncology, 2021-03, Vol.3 (1), p.101-109

2021

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A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data

IEEE/ACM transactions on computational biology and bioinformatics, 2021-05, Vol.18 (3), p.811-822

2021

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Deep learning to estimate lung disease mortality from chest radiographs

Association Between Immune Checkpoint Inhibitors with Cardiovascular Events and Atherosclerotic Plaque

Deep Learning to Estimate Biological Age From Chest Radiographs

Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model

Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models

Deep Learning Analysis of Chest Radiographs to Triage Patients with Acute Chest Pain Syndrome

Microvascular Outcomes in Women With a History of Hypertension in Pregnancy

Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations

Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature

piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks

Immune checkpoint inhibitors for cancer and venous thromboembolic events

Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study

Biomarker identification for statin sensitivity of cancer cell lines

CausalMGM: an interactive web-based causal discovery tool

Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis

Deep Learning to Predict Mortality After Cardiothoracic Surgery Using Preoperative Chest Radiographs

Can deep learning classify stroke subtypes from chest X-rays?

Pericardial disease in patients treated with immune checkpoint inhibitors

Chest Radiographs: A New Form of Identification?

Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis

Photoreceptor Layer Thinning Is an Early Biomarker for Age-Related Macular Degeneration

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs

Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers

The Incidence, Risk Factors, and Outcomes With 5-Fluorouracil–Associated Coronary Vasospasm

A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data

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