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Radioiodine Seed Embolization to the Chest after Transperineal Interstitial Permanent Prostate Brachytherapy: Influence of Extra-prostatic Seed Placement and Prostate Volume on Seed Migration

International journal of radiation oncology, biology, physics, 2008, Vol.72 (1), p.S345-S345

2008

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EP-1793: Establishing local confidence limit and the optimization of VMAT patient specific quality assurance

Radiotherapy and oncology, 2018-04, Vol.127, p.S963-S963

2018

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The use of digital technology to asses the severity of the Experimental Allergic Encephalomyelitis (EAE) spinal cord lesion

Biomedical sciences instrumentation, 2004, Vol.40, p.419

2004

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96 The efficacy of complete decongestive therapy and manual lymphatic drainage on treatment related lymphedema in breast cancer

Radiotherapy and oncology, 2006-09, Vol.80, p.S29-S29

2006

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Prior Image Guided Undersampled Dual Energy Reconstruction with Piecewise Polynomial Function Constraint

Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-7

2013

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137 Pulmonary embolization of radioiodine seeds following permanent prostate brachytherapy

Radiotherapy and oncology, 2006-09, Vol.80, p.S40-S40

2006

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Computationally efficient deep neural network for computed tomography image reconstruction

Medical physics (Lancaster), 2019-11, Vol.46 (11), p.4763-4776

2019

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Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning

Medical physics (Lancaster), 2021-12, Vol.48 (12), p.7657-7672

2021

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Estimate and compensate head motion in non‐contrast head CT scans using partial angle reconstruction and deep learning

Medical physics (Lancaster), 2024-05, Vol.51 (5), p.3309-3321

2024

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Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

IEEE transactions on medical imaging, 2017-12, Vol.36 (12), p.2479-2486

2017

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Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1478-1487

2018

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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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End-to-end deep learning for interior tomography with low-dose x-ray CT

Physics in medicine & biology, 2022-05, Vol.67 (11), p.115001

2022

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Self-Supervised Dynamic CT Perfusion Image Denoising With Deep Neural Networks

IEEE transactions on radiation and plasma medical sciences, 2021-05, Vol.5 (3), p.350-361

2021

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Texture-preserving low dose CT image denoising using Pearson divergence

Physics in medicine & biology, 2024-06, Vol.69 (11), p.115021

2024

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A weighted polynomial based material decomposition method for spectral x-ray CT imaging

Physics in medicine & biology, 2016-05, Vol.61 (10), p.3749-3783

2016

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A hybrid Monte Carlo model for the energy response functions of X-ray photon counting detectors

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2016-09, Vol.830, p.397-406

2016

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Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database

Physics in medicine & biology, 2013-06, Vol.58 (12), p.4047-4070

2013

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Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior

Physics in medicine & biology, 2021-08, Vol.66 (15), p.155013

2021

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Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.741-749

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Stationary Computed Tomography for Space and other Resource-constrained Environments

Scientific reports, 2018-09, Vol.8 (1), p.14195-10, Article 14195

2018

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Risk assessment for acute kidney injury and death among new COVID-19 positive adult patients without chronic kidney disease: retrospective cohort study among three US hospitals

BMJ open, 2022-02, Vol.12 (2), p.e053635

2022

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Quasi-monochromatic imaging in x-ray CT via spectral deconvolution using photon-counting detectors

Physics in medicine & biology, 2017-03, Vol.62 (6), p.2208-2223

2017

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Learning to scan: A deep reinforcement learning approach for personalized scanning in CT imaging

Inverse problems and imaging (Springfield, Mo.), 2022-02, Vol.16 (1), p.179

2022

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The Evolution of Image Reconstruction in PET

PET clinics, 2021-10, Vol.16 (4), p.533-542

2021

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Radioiodine Seed Embolization to the Chest after Transperineal Interstitial Permanent Prostate Brachytherapy: Influence of Extra-prostatic Seed Placement and Prostate Volume on Seed Migration

EP-1793: Establishing local confidence limit and the optimization of VMAT patient specific quality assurance

The use of digital technology to asses the severity of the Experimental Allergic Encephalomyelitis (EAE) spinal cord lesion

96 The efficacy of complete decongestive therapy and manual lymphatic drainage on treatment related lymphedema in breast cancer

Prior Image Guided Undersampled Dual Energy Reconstruction with Piecewise Polynomial Function Constraint

137 Pulmonary embolization of radioiodine seeds following permanent prostate brachytherapy

Computationally efficient deep neural network for computed tomography image reconstruction

Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning

Estimate and compensate head motion in non‐contrast head CT scans using partial angle reconstruction and deep learning

Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting

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

End-to-end deep learning for interior tomography with low-dose x-ray CT

Self-Supervised Dynamic CT Perfusion Image Denoising With Deep Neural Networks

Texture-preserving low dose CT image denoising using Pearson divergence

A weighted polynomial based material decomposition method for spectral x-ray CT imaging

A hybrid Monte Carlo model for the energy response functions of X-ray photon counting detectors

Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database

Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples

Stationary Computed Tomography for Space and other Resource-constrained Environments

Risk assessment for acute kidney injury and death among new COVID-19 positive adult patients without chronic kidney disease: retrospective cohort study among three US hospitals

Quasi-monochromatic imaging in x-ray CT via spectral deconvolution using photon-counting detectors

Learning to scan: A deep reinforcement learning approach for personalized scanning in CT imaging

The Evolution of Image Reconstruction in PET

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