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The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

Medical physics (Lancaster), 2011-02, Vol.38 (2), p.915-931

2011

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CONRAD—A software framework for cone-beam imaging in radiology

Medical physics (Lancaster), 2013-11, Vol.40 (11), p.111914-n/a

2013

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MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2835-2844

2016

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4D XCAT phantom for multimodality imaging research

Medical physics (Lancaster), 2010-09, Vol.37 (9), p.4902-4915

2010

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Photoacoustic angiography of the breast

Medical physics (Lancaster), 2010-11, Vol.37 (11), p.6096-6100

2010

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Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.2157-2168

2019

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MR‐based synthetic CT generation using a deep convolutional neural network method

Medical physics (Lancaster), 2017-04, Vol.44 (4), p.1408-1419

Han, Xiao

2017

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Towards integration of PET/MR hybrid imaging into radiation therapy treatment planning

Medical physics (Lancaster), 2014-07, Vol.41 (7), p.072505-n/a

2014

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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2821-2827

2016

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Dedicated 3D photoacoustic breast imaging

Medical physics (Lancaster), 2013-11, Vol.40 (11), p.113301-n/a

2013

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Vision 20/20: Perspectives on automated image segmentation for radiotherapy

Medical physics (Lancaster), 2014-05, Vol.41 (5), p.050902-n/a

2014

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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

Medical physics (Lancaster), 2019-04, Vol.46 (4), p.1707-1718

2019

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Development of patient‐specific molecular imaging phantoms using a 3D printer

Medical physics (Lancaster), 2014-08, Vol.41 (8Part1), p.082502-n/a

2014

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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

Medical physics (Lancaster), 2016-04, Vol.43 (4), p.1882-1896

2016

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PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines

Medical physics (Lancaster), 2020-11, Vol.47 (11), p.5941-5952

2020

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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

Medical physics (Lancaster), 2016-12, Vol.43 (12), p.6654-6666

2016

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Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region

Medical physics (Lancaster), 2018-11, Vol.45 (11), p.5218-5233

2018

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Parallel imaging and convolutional neural network combined fast MR image reconstruction: Applications in low‐latency accelerated real‐time imaging

Medical physics (Lancaster), 2019-08, Vol.46 (8), p.3399-3413

2019

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Realistic CT simulation using the 4D XCAT phantom

Medical physics (Lancaster), 2008-08, Vol.35 (8), p.3800-3808

2008

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Automated glioma grading on conventional MRI images using deep convolutional neural networks

Medical physics (Lancaster), 2020-07, Vol.47 (7), p.3044-3053

2020

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Pulmonary imaging using respiratory motion compensated simultaneous PET/MR

Medical physics (Lancaster), 2015-07, Vol.42 (7), p.4227-4240

2015

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GPU computing in medical physics: A review

Medical physics (Lancaster), 2011-05, Vol.38 (5), p.2685-2697

2011

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Feasibility of MRI-only treatment planning for proton therapy in brain and prostate cancers: Dose calculation accuracy in substitute CT images

Medical physics (Lancaster), 2016-08, Vol.43 (8), p.4634-4642

2016

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Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique

Medical physics (Lancaster), 2010-08, Vol.37 (8), p.4210-4226

2010

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Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks

Medical physics (Lancaster), 2017-02, Vol.44 (2), p.547-557

2017

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The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

CONRAD—A software framework for cone-beam imaging in radiology

MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

4D XCAT phantom for multimodality imaging research

Photoacoustic angiography of the breast

Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN

MR‐based synthetic CT generation using a deep convolutional neural network method

Towards integration of PET/MR hybrid imaging into radiation therapy treatment planning

Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique

Dedicated 3D photoacoustic breast imaging

Vision 20/20: Perspectives on automated image segmentation for radiotherapy

Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

Development of patient‐specific molecular imaging phantoms using a 3D printer

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region

Parallel imaging and convolutional neural network combined fast MR image reconstruction: Applications in low‐latency accelerated real‐time imaging

Realistic CT simulation using the 4D XCAT phantom

Automated glioma grading on conventional MRI images using deep convolutional neural networks

Pulmonary imaging using respiratory motion compensated simultaneous PET/MR

GPU computing in medical physics: A review

Feasibility of MRI-only treatment planning for proton therapy in brain and prostate cancers: Dose calculation accuracy in substitute CT images

Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique

Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks

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