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Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Scientific reports, 2021-09, Vol.11 (1), p.15523-15523, Article 15523

2021

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Histogram analysis of whole-lesion enhancement in differentiating clear cell from papillary subtype of renal cell cancer

Radiology, 2012-12, Vol.265 (3), p.790-798

2012

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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Nature medicine, 2019-06, Vol.25 (6), p.954-961

2019

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Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists

Radiology, 2023-01, Vol.306 (1), p.124-137

2023

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Reproducibility of dynamic contrast-enhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis

Radiology, 2013-03, Vol.266 (3), p.812-821

2013

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Three-Dimensional Human Airway Segmentation Methods for Clinical Virtual Bronchoscopy

Academic radiology, 2002-10, Vol.9 (10), p.1153-1168

2002

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Hepatocellular carcinoma: response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data

Radiology, 2011-09, Vol.260 (3), p.752-761

2011

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Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Nature medicine, 2019-08, Vol.25 (8), p.1319-1319

2019

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An intentional approach to managing bias in general purpose embedding models

The Lancet. Digital health, 2024-02, Vol.6 (2), p.e126-e130

2024

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Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan

Radiology. Artificial intelligence, 2024-05, Vol.6 (3), p.e230079

2024

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New biplane x-ray magnetic resonance image fusion prototype for 3D enhanced cardiac catheterization in congenital heart diseases

Journal of cardiovascular magnetic resonance, 2014-01, Vol.16 (Suppl 1), p.O103-O103, Article O103

2014

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Extraction of the hepatic vasculature in rats using 3-D micro-CT images

IEEE transactions on medical imaging, 2000-09, Vol.19 (9), p.964-971

2000

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Automated CT scoring of airway diseases: preliminary results

Academic radiology, 2010-09, Vol.17 (9), p.1136-1145

2010

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Computer-aided diagnosis of the airways: beyond nodule detection

Journal of thoracic imaging, 2008-05, Vol.23 (2), p.105-113

2008

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Automated CT Scoring of Airway Diseases

Academic radiology, 2010, Vol.17 (9), p.1136-1145

2010

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Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.151-158

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Boundary-Specific Cost Functions for Quantitative Airway Analysis

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, 2007, Vol.10 (Pt 1), p.784-791

2007

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Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities

NEJM AI, 2024-09, Vol.1 (10)

2024

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A fast method for colon polyp detection in high-resolution CT data

International Congress series, 2004-06, Vol.1268, p.983-988

2004

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Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.489-497

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Semi-automatic catheter model generation using biplane x-ray images

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013, p.1416-1419

2013

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3D-2D Registration Based on Mesh-Derived Image Bisection

Biomedical Image Registration, p.70-78

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2D display of a 3D tree for pulmonary embolism detection

International Congress series, 2005-05, Vol.1281, p.1132-1136

2005

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Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Histogram analysis of whole-lesion enhancement in differentiating clear cell from papillary subtype of renal cell cancer

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists

Reproducibility of dynamic contrast-enhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis

Three-Dimensional Human Airway Segmentation Methods for Clinical Virtual Bronchoscopy

Hepatocellular carcinoma: response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data

Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

An intentional approach to managing bias in general purpose embedding models

Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan

New biplane x-ray magnetic resonance image fusion prototype for 3D enhanced cardiac catheterization in congenital heart diseases

Extraction of the hepatic vasculature in rats using 3-D micro-CT images

Automated CT scoring of airway diseases: preliminary results

Computer-aided diagnosis of the airways: beyond nodule detection

Automated CT Scoring of Airway Diseases

Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging

Boundary-Specific Cost Functions for Quantitative Airway Analysis

Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities

A fast method for colon polyp detection in high-resolution CT data

Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification

Semi-automatic catheter model generation using biplane x-ray images

3D-2D Registration Based on Mesh-Derived Image Bisection

2D display of a 3D tree for pulmonary embolism detection

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