Data-Driven Problem Reduction for Image Reconstruction From Projections Using Gift Wrapping

IEEE Transactions on Nuclear Science ◽

10.1109/tns.2011.2128348 ◽

2011 ◽

Vol 58 (3) ◽

pp. 724-729 ◽

Author(s):

Jens Gregor

Keyword(s):

Image Reconstruction ◽

Data Driven ◽

Problem Reduction ◽

Image Reconstruction From Projections ◽

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Data-driven problem reduction for image reconstruction from projections using gift wrapping

IEEE Nuclear Science Symposuim & Medical Imaging Conference ◽

10.1109/nssmic.2010.5874326 ◽

2010 ◽

Author(s):

J. Gregor

Keyword(s):

Image Reconstruction ◽

Data Driven ◽

Problem Reduction ◽

Image Reconstruction From Projections ◽

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Block-iterative methods for image reconstruction from projections

IEEE Transactions on Image Processing ◽

10.1109/83.499919 ◽

1996 ◽

Vol 5 (5) ◽

pp. 792-794 ◽

Author(s):

C.L. Byrne

Keyword(s):

Image Reconstruction ◽

Iterative Methods ◽

Image Reconstruction From Projections

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Image reconstruction from projections of digital breast tomosynthesis using deep learning

Medical Imaging 2021: Physics of Medical Imaging ◽

10.1117/12.2582183 ◽

2021 ◽

Author(s):

Davi de Paula ◽

Denis Salvadeo ◽

Darlan de Araújo

Keyword(s):

Deep Learning ◽

Image Reconstruction ◽

Digital Breast Tomosynthesis ◽

Breast Tomosynthesis ◽

Image Reconstruction From Projections

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Image reconstruction from projections under wavelet constraints

IEEE Transactions on Signal Processing ◽

10.1109/78.258101 ◽

1993 ◽

Vol 41 (12) ◽

pp. 3579-3584 ◽

Author(s):

B. Sahiner ◽

A.E. Yagle

Keyword(s):

Image Reconstruction ◽

Image Reconstruction From Projections

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Dynamic Data-Driven SAR Image Reconstruction Using Multiple GPUs

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2873198 ◽

2018 ◽

Vol 11 (11) ◽

pp. 4326-4338 ◽

Author(s):

Adeesha Wijayasiri ◽

Tania Banerjee ◽

Sanjay Ranka ◽

Sartaj Sahni ◽

Mark Schmalz

Keyword(s):

Image Reconstruction ◽

Data Driven ◽

Sar Image ◽

Dynamic Data ◽

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Physics and data driven models for ultrasound image reconstruction

2017 51st Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/acssc.2017.8335501 ◽

2017 ◽

Author(s):

Brett Byram ◽

Kazuyuki Dei ◽

Adam Luchies

Keyword(s):

Image Reconstruction ◽

Ultrasound Image ◽

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A Three-Dimentional Neural Network Based Approach to the Image Reconstruction from Projections Problem

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13208-7_63 ◽

2010 ◽

pp. 505-514 ◽

Author(s):

Robert Cierniak

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Image Reconstruction From Projections

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5. Image Reconstruction from Projections

Image Processing ◽

10.1515/9783110524116-005 ◽

2017 ◽

pp. 135-169

Keyword(s):

Image Reconstruction ◽

Image Reconstruction From Projections

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Data-Driven Adversarial Learning for Sinogram-Based Iterative Low-Dose CT Image Reconstruction

2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) ◽

10.1109/icstcc.2019.8885947 ◽

2019 ◽

Author(s):

Anamaria Vizitiu ◽

Andrei Puiu ◽

Sureerat Reaungamornrat ◽

Lucian Mihai Itu

Keyword(s):

Image Reconstruction ◽

Low Dose ◽

Data Driven ◽

Ct Image ◽

Adversarial Learning ◽

Low Dose Ct ◽

Ct Image Reconstruction

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Reply to "comments on Rockmore and Macovski's 'a Maximum Likelihood Approach to Emission Image Reconstruction from Projections'"

IEEE Transactions on Nuclear Science ◽

10.1109/tns.1982.4336359 ◽

1982 ◽

Vol 29 (5) ◽

pp. 1385-1385 ◽

Keyword(s):

Maximum Likelihood ◽

Image Reconstruction ◽

Maximum Likelihood Approach ◽

Likelihood Approach ◽

Image Reconstruction From Projections

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