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Deep Closest Point: Learning Representations for Point Cloud Registration

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.3522-3531

2019

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Vectorization of Line Drawings via Polyvector Fields

ACM transactions on graphics, 2019-02, Vol.38 (1), p.1-12

2019

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Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm

Medical physics (Lancaster), 2020-09, Vol.47 (9), p.3961-3971

2020

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Entropic metric alignment for correspondence problems

ACM transactions on graphics, 2016-07, Vol.35 (4), p.1-13

2016

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Reversible Harmonic Maps between Discrete Surfaces

ACM transactions on graphics, 2019-04, Vol.38 (2), p.1-12

2019

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Earth mover's distances on discrete surfaces

ACM transactions on graphics, 2014-07, Vol.33 (4), p.1-12

2014

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Smoothed local histogram filters

ACM transactions on graphics, 2010-07, Vol.29 (4), p.1-10

2010

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Technical Note: Validation of TG 233 phantom methodology to characterize noise and dose in patient CT data

Medical physics (Lancaster), 2020-04, Vol.47 (4), p.1633-1639

2020

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Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm

Radiology, 2017-09, Vol.284 (3), p.777-787

2017

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Dynamic Graph CNN for Learning on Point Clouds

ACM transactions on graphics, 2019-11, Vol.38 (5), p.1-12

2019

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A Third-Generation Adaptive Statistical Iterative Reconstruction Technique: Phantom Study of Image Noise, Spatial Resolution, Lesion Detectability, and Dose Reduction Potential

American journal of roentgenology (1976), 2018-06, Vol.210 (6), p.1301-1308

2018

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Comparison of low-contrast detectability between two CT reconstruction algorithms using voxel-based 3D printed textured phantoms

Medical physics (Lancaster), 2016-12, Vol.43 (12), p.6497-6506

2016

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Relating noise to image quality indicators in CT examinations with tube current modulation

American journal of roentgenology (1976), 2013-03, Vol.200 (3), p.592-600

2013

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Timing and locations of reef fish spawning off the southeastern United States

PloS one, 2017-03, Vol.12 (3), p.e0172968-e0172968

2017

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Correction for Systematic Bias in Radiomics Measurements Due to Variation in Imaging Protocols

Academic radiology, 2022-04, Vol.29 (4), p.e61-e72

2022

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Flexible Developable Surfaces

Computer graphics forum, 2012-08, Vol.31 (5), p.1567-1576

2012

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Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions

Academic radiology, 2021-11, Vol.28 (11), p.1570-1581

2021

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Expanding the Concept of Diagnostic Reference Levels to Noise and Dose Reference Levels in CT

American journal of roentgenology (1976), 2019-10, Vol.213 (4), p.889-894

2019

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Quantitative comparison of noise texture across CT scanners from different manufacturers

Medical physics (Lancaster), 2012-10, Vol.39 (10), p.6048-6055

2012

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High Spatial-Resolution Skull Base Imaging With Photon-Counting Computed Tomography and Energy-Integrating Computed Tomography: A Comparative Phantom Study

Journal of computer assisted tomography, 2023-07, Vol.47 (4), p.613-620

2023

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How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study

European radiology, 2019-04, Vol.29 (4), p.2069-2078

2019

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Characteristic image quality of a third generation dual‐source MDCT scanner: Noise, resolution, and detectability

Medical physics (Lancaster), 2015-08, Vol.42 (8), p.4941-4953

2015

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Shape-Attributes of Brain Structures as Biomarkers for Alzheimer's Disease

Journal of Alzheimer's disease, 2017-01, Vol.56 (1), p.287-295

2017

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Correlation between human detection accuracy and observer model-based image quality metrics in computed tomography

Journal of medical imaging (Bellingham, Wash.), 2016-07, Vol.3 (3), p.035506-035506

2016

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Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules

European radiology, 2024-05, Vol.34 (5), p.3444-3452

2024

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Deep Closest Point: Learning Representations for Point Cloud Registration

Vectorization of Line Drawings via Polyvector Fields

Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm

Entropic metric alignment for correspondence problems

Reversible Harmonic Maps between Discrete Surfaces

Earth mover's distances on discrete surfaces

Smoothed local histogram filters

Technical Note: Validation of TG 233 phantom methodology to characterize noise and dose in patient CT data

Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm

Dynamic Graph CNN for Learning on Point Clouds

A Third-Generation Adaptive Statistical Iterative Reconstruction Technique: Phantom Study of Image Noise, Spatial Resolution, Lesion Detectability, and Dose Reduction Potential

Comparison of low-contrast detectability between two CT reconstruction algorithms using voxel-based 3D printed textured phantoms

Relating noise to image quality indicators in CT examinations with tube current modulation

Timing and locations of reef fish spawning off the southeastern United States

Correction for Systematic Bias in Radiomics Measurements Due to Variation in Imaging Protocols

Flexible Developable Surfaces

Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions

Expanding the Concept of Diagnostic Reference Levels to Noise and Dose Reference Levels in CT

Quantitative comparison of noise texture across CT scanners from different manufacturers

High Spatial-Resolution Skull Base Imaging With Photon-Counting Computed Tomography and Energy-Integrating Computed Tomography: A Comparative Phantom Study

How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study

Characteristic image quality of a third generation dual‐source MDCT scanner: Noise, resolution, and detectability

Shape-Attributes of Brain Structures as Biomarkers for Alzheimer's Disease

Correlation between human detection accuracy and observer model-based image quality metrics in computed tomography

Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules

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