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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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Using computer‐extracted image features for modeling of error‐making patterns in detection of mammographic masses among radiology residents

Medical physics (Lancaster), 2014-09, Vol.41 (9), p.091907-n/a

2014

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Vision Transformer‐based recognition of diabetic retinopathy grade

Medical physics (Lancaster), 2021-12, Vol.48 (12), p.7850-7863

2021

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Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lung

Medical physics (Lancaster), 2006-07, Vol.33 (7), p.2610-2620

2006

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Improvement of mammographic mass characterization using spiculation measures and morphological features

Medical physics (Lancaster), 2001-07, Vol.28 (7), p.1455-1465

2001

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Computerized image analysis: Estimation of breast density on mammograms

Medical physics (Lancaster), 2001-06, Vol.28 (6), p.1056-1069

2001

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Using deep learning to segment breast and fibroglandular tissue in MRI volumes

Medical physics (Lancaster), 2017-02, Vol.44 (2), p.533-546

2017

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Computerized characterization of breast masses on three-dimensional ultrasound volumes

Medical physics (Lancaster), 2004-04, Vol.31 (4), p.744-754

2004

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Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study

Medical physics (Lancaster), 2009-04, Vol.36 (4), p.1236-1243

2009

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A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images

Medical physics (Lancaster), 2017-03, Vol.44 (3), p.914-923

2017

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WE‐C‐330D‐02: Image Science and CAD: In Pursuit of a Fundamental Theoretical Basis for CAD Development

Medical Physics, 2006-06, Vol.33 (6), p.2231-2231

Nishikawa, R

2006

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A completely automated CAD system for mass detection in a large mammographic database

Medical physics (Lancaster), 2006-08, Vol.33 (8), p.3066-3075

2006

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Automated pectoral muscle identification on MLO‐view mammograms: Comparison of deep neural network to conventional computer vision

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.2103-2114

2019

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A method and software for segmentation of anatomic object ensembles by deformable m-reps

Medical physics (Lancaster), 2005-05, Vol.32 (5), p.1335-1345

2005

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Predictive stroke risk model with vision transformer‐based Doppler features

Medical physics (Lancaster), 2024-01, Vol.51 (1), p.126-138

2024

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Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound

Medical physics (Lancaster), 2015-04, Vol.42 (4), p.1498-1504

2015

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CADx of mammographic masses and clustered microcalcifications: A review

Medical physics (Lancaster), 2009-06, Vol.36 (6), p.2052-2068

2009

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Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach

Medical physics (Lancaster), 2012-01, Vol.39 (1), p.28-39

2012

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Prediction of human observer performance in a 2-alternative forced choice low-contrast detection task using channelized Hotelling observer: Impact of radiation dose and reconstruction algorithms

Medical physics (Lancaster), 2013-04, Vol.40 (4), p.041908-n/a

2013

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How does c-view image quality compare with conventional 2D FFDM?

Medical physics (Lancaster), 2016-05, Vol.43 (5), p.2538-2547

2016

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Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI

Medical physics (Lancaster), 2006-08, Vol.33 (8), p.2878-2887

2006

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MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

Medical physics (Lancaster), 2016-05, Vol.43 (5), p.2218-2228

2016

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Combined kV and MV imaging for real-time tracking of implanted fiducial markers

Medical physics (Lancaster), 2008-04, Vol.35 (4), p.1191-1198

2008

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3D liver segmentation using multiple region appearances and graph cuts

Medical physics (Lancaster), 2015-12, Vol.42 (12), p.6840-6852

2015

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Tumor phase recognition using cone‐beam computed tomography projections and external surrogate information

Medical physics (Lancaster), 2020-10, Vol.47 (10), p.5077-5089

2020

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

Using computer‐extracted image features for modeling of error‐making patterns in detection of mammographic masses among radiology residents

Vision Transformer‐based recognition of diabetic retinopathy grade

Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lung

Improvement of mammographic mass characterization using spiculation measures and morphological features

Computerized image analysis: Estimation of breast density on mammograms

Using deep learning to segment breast and fibroglandular tissue in MRI volumes

Computerized characterization of breast masses on three-dimensional ultrasound volumes

Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study

A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images

WE‐C‐330D‐02: Image Science and CAD: In Pursuit of a Fundamental Theoretical Basis for CAD Development

A completely automated CAD system for mass detection in a large mammographic database

Automated pectoral muscle identification on MLO‐view mammograms: Comparison of deep neural network to conventional computer vision

A method and software for segmentation of anatomic object ensembles by deformable m-reps

Predictive stroke risk model with vision transformer‐based Doppler features

Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound

CADx of mammographic masses and clustered microcalcifications: A review

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach

Prediction of human observer performance in a 2-alternative forced choice low-contrast detection task using channelized Hotelling observer: Impact of radiation dose and reconstruction algorithms

How does c-view image quality compare with conventional 2D FFDM?

Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI

MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

Combined kV and MV imaging for real-time tracking of implanted fiducial markers

3D liver segmentation using multiple region appearances and graph cuts

Tumor phase recognition using cone‐beam computed tomography projections and external surrogate information

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