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Potentially long-lasting effects of the pandemic on scientists

Nature communications, 2021-10, Vol.12 (1), p.6188-6188, Article 6188

2021

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Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy

The American economic review, 2022-07, Vol.112 (7), p.2393-2423

2022

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Unequal effects of the COVID-19 pandemic on scientists

Nature human behaviour, 2020-09, Vol.4 (9), p.880-883

2020

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Physiological random processes in precision cancer therapy

PloS one, 2018-06, Vol.13 (6), p.e0199823-e0199823

2018

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Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential

Visual computing for industry, biomedicine and art, 2023-05, Vol.6 (1), p.9-10, Article 9

2023

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Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233

Medical physics (Lancaster), 2019-11, Vol.46 (11), p.e735-e756

2019

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Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms

Physics in medicine & biology, 2017-04, Vol.62 (7), p.2598-2611

2017

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Development of metaverse for intelligent healthcare

Nature machine intelligence, 2022-11, Vol.4 (11), p.922-929

2022

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Performance of a deep learning‐based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness

Medical physics (Lancaster), 2022-02, Vol.49 (2), p.836-853

2022

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Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

JAMA network open, 2018-11, Vol.1 (7), p.e185474-e185474

2018

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Evaluating the sensitivity of the optimization of acquisition geometry to the choice of reconstruction algorithm in digital breast tomosynthesis through a simulation study

Physics in medicine & biology, 2015-02, Vol.60 (3), p.1259-1288

2015

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Napping facilitates word learning in early lexical development

Journal of sleep research, 2015-10, Vol.24 (5), p.503-509

2015

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Noncalcified lung nodules: volumetric assessment with thoracic CT

Radiology, 2009-04, Vol.251 (1), p.26-37

2009

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A data‐efficient method for local noise power spectrum (NPS) estimation in FDK‐reconstructed 3D cone‐beam CT

Medical physics (Lancaster), 2019-04, Vol.46 (4), p.1634-1647

2019

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Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise

IEEE transactions on medical imaging, 2016-06, Vol.35 (6), p.1431-1442

2016

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Assessing the ability of generative adversarial networks to learn canonical medical image statistics

IEEE transactions on medical imaging, 2023-06, Vol.42 (6), p.1-1

2023

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The Elasticity of Science

American economic journal. Applied economics, 2020-10, Vol.12 (4), p.103-134

Myers, Kyle

2020

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Discrimination tasks in simulated low‐dose CT noise

Medical physics (Lancaster), 2023-07, Vol.50 (7), p.4151-4172

2023

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Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods:: Framework, Strategies, and Role of the Physician

PET clinics, 2021-10, Vol.16 (4), p.493-511

2021

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Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

Statistical methods in medical research, 2015-02, Vol.24 (1), p.68-106

2015

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Statistical analysis of lung nodule volume measurements with CT in a large‐scale phantom study

Medical physics (Lancaster), 2015-07, Vol.42 (7), p.3932-3947

2015

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CT image assessment by low contrast signal detectability evaluation with unknown signal location

Medical physics (Lancaster), 2013-11, Vol.40 (11), p.111908-n/a

2013

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A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

Medical physics (Lancaster), 2013-05, Vol.40 (5), p.051914-n/a

2013

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Assessing the impact of nodule features and software algorithm on pulmonary nodule measurement uncertainty for nodules sized 20 mm or less

Quantitative imaging in medicine and surgery, 2024-07, Vol.14 (7), p.5057-5071

2024

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Estimating local noise power spectrum from a few FBP‐reconstructed CT scans

Medical physics (Lancaster), 2016-01, Vol.43 (1), p.568-582

2016

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Potentially long-lasting effects of the pandemic on scientists

Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy

Unequal effects of the COVID-19 pandemic on scientists

Physiological random processes in precision cancer therapy

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential

Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233

Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms

Development of metaverse for intelligent healthcare

Performance of a deep learning‐based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Evaluating the sensitivity of the optimization of acquisition geometry to the choice of reconstruction algorithm in digital breast tomosynthesis through a simulation study

Napping facilitates word learning in early lexical development

Noncalcified lung nodules: volumetric assessment with thoracic CT

A data‐efficient method for local noise power spectrum (NPS) estimation in FDK‐reconstructed 3D cone‐beam CT

Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise

Assessing the ability of generative adversarial networks to learn canonical medical image statistics

The Elasticity of Science

Discrimination tasks in simulated low‐dose CT noise

Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods:: Framework, Strategies, and Role of the Physician

Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

Statistical analysis of lung nodule volume measurements with CT in a large‐scale phantom study

CT image assessment by low contrast signal detectability evaluation with unknown signal location

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

Assessing the impact of nodule features and software algorithm on pulmonary nodule measurement uncertainty for nodules sized 20 mm or less

Estimating local noise power spectrum from a few FBP‐reconstructed CT scans

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