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A review of breast tomosynthesis. Part I. The image acquisition process
A review of breast tomosynthesis. Part I. The image acquisition process
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A review of breast tomosynthesis. Part I. The image acquisition process

Sechopoulos, Ioannis

Medical Physics, 2013-01, Vol.40 (1), p.014301-n/a [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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2
Adaptive nonlocal means filtering based on local noise level for CT denoising
Adaptive nonlocal means filtering based on local noise level for CT denoising
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Adaptive nonlocal means filtering based on local noise level for CT denoising

Li, Zhoubo ; Yu, Lifeng ; Trzasko, Joshua D. ; Lake, David S. ; Blezek, Daniel J. ; Fletcher, Joel G. ; McCollough, Cynthia H. ; Manduca, Armando

Medical physics (Lancaster), 2014-01, Vol.41 (1), p.011908-n/a [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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3
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
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Vision 20/20: Perspectives on automated image segmentation for radiotherapy

Sharp, Gregory ; Fritscher, Karl D. ; Pekar, Vladimir ; Peroni, Marta ; Shusharina, Nadya ; Veeraraghavan, Harini ; Yang, Jinzhong

Medical physics (Lancaster), 2014-05, Vol.41 (5), p.050902-n/a [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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4
Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets
Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets
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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

Cha, Kenny H. ; Hadjiiski, Lubomir ; Samala, Ravi K. ; Chan, Heang-Ping ; Caoili, Elaine M. ; Cohan, Richard H.

Medical physics (Lancaster), 2016-04, Vol.43 (4), p.1882-1896 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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5
Enhanced resting‐state dynamics of the hemoglobin signal as a novel biomarker for detection of breast cancer
Enhanced resting‐state dynamics of the hemoglobin signal as a novel biomarker for detection of breast cancer
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Enhanced resting‐state dynamics of the hemoglobin signal as a novel biomarker for detection of breast cancer

Graber, Harry L. ; Al abdi, Rabah ; Xu, Yong ; Asarian, Armand P. ; Pappas, Peter J. ; Dresner, Lisa ; Patel, Naresh ; Jagarlamundi, Kuppuswamy ; Solomon, William B. ; Barbour, Randall L.

Medical physics (Lancaster), 2015-11, Vol.42 (11), p.6406-6424 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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6
Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms
Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms
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Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms

Richard, Samuel ; Husarik, Daniela B. ; Yadava, Girijesh ; Murphy, Simon N. ; Samei, Ehsan

Medical physics (Lancaster), 2012-07, Vol.39 (7), p.4115-4122 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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7
ibex: An open infrastructure software platform to facilitate collaborative work in radiomics
ibex: An open infrastructure software platform to facilitate collaborative work in radiomics
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ibex: An open infrastructure software platform to facilitate collaborative work in radiomics

Zhang, Lifei ; Fried, David V. ; Fave, Xenia J. ; Hunter, Luke A. ; Yang, Jinzhong ; Court, Laurence E.

Medical physics (Lancaster), 2015-03, Vol.42 (3), p.1341-1353 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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8
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

Samala, Ravi K. ; Chan, Heang-Ping ; Hadjiiski, Lubomir ; Helvie, Mark A. ; Wei, Jun ; Cha, Kenny

Medical physics (Lancaster), 2016-12, Vol.43 (12), p.6654-6666 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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9
Iterative image-domain decomposition for dual-energy CT
Iterative image-domain decomposition for dual-energy CT
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Iterative image-domain decomposition for dual-energy CT

Niu, Tianye ; Dong, Xue ; Petrongolo, Michael ; Zhu, Lei

Medical physics (Lancaster), 2014-04, Vol.41 (4), p.041901-n/a [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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10
A three-dimensional statistical approach to improved image quality for multislice helical CT
A three-dimensional statistical approach to improved image quality for multislice helical CT
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A three-dimensional statistical approach to improved image quality for multislice helical CT

Thibault, Jean-Baptiste ; Sauer, Ken D. ; Bouman, Charles A. ; Hsieh, Jiang

Medical physics (Lancaster), 2007-11, Vol.34 (11), p.4526-4544 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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