Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammography (Unknown)
- New search for: Zeng, Rongping
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https://orcid.org/0000-0003-1849-0637
- New search for: Samuelson, Frank W.
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https://orcid.org/0000-0002-1130-0303
- New search for: Sharma, Diksha
- New search for: Badal, Andreu
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https://orcid.org/0000-0002-1655-4177
- New search for: Christian, Graff G.
- New search for: Glick, Stephen J.
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https://orcid.org/0000-0002-1748-5353
- New search for: Myers, Kyle J.
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https://orcid.org/0000-0001-7394-4932
- New search for: Badano, Aldo
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https://orcid.org/0000-0003-3712-6670
- New search for: Zeng, Rongping
- New search for: Samuelson, Frank W.
- New search for: Sharma, Diksha
- New search for: Badal, Andreu
- New search for: Christian, Graff G.
- New search for: Glick, Stephen J.
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In:
Journal of Medical Imaging
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7
, 4
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042802
;
2020
- Article (Journal) / Electronic Resource
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Title:Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammography
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Additional title:J. Med. Imag.
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Contributors:Zeng, Rongping ( author ) / Samuelson, Frank W. ( author ) / Sharma, Diksha ( author ) / Badal, Andreu ( author ) / Christian, Graff G. ( author ) / Glick, Stephen J. ( author ) / Myers, Kyle J. ( author ) / Badano, Aldo ( author )
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Published in:Journal of Medical Imaging ; 7, 4 ; 042802
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Publisher:
- New search for: Society of Photo-Optical Instrumentation Engineers
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Publication date:2020-02-26
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ISSN:
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Coden:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 7, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 042801
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Virtual Clinical Trials: Why and What (Special Section Guest Editorial)Samei, Ehsan / Kinahan, Paul / Nishikawa, Robert M. / Maidment, Andrew et al. | 2020
- 042802
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Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammographyZeng, Rongping / Samuelson, Frank W. / Sharma, Diksha / Badal, Andreu / Christian, Graff G. / Glick, Stephen J. / Myers, Kyle J. / Badano, Aldo et al. | 2020
- 042803
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Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelinesMattonen, Sarah A. / Gude, Dev / Echegaray, Sebastian / Bakr, Shaimaa / Rubin, Daniel L. / Napel, Sandy et al. | 2020
- 042804
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Verification of the accuracy of a hybrid breast imaging simulation framework for virtual clinical trial applicationsVancoillie, Liesbeth / Marshall, Nicholas / Cockmartin, Lesley / Vignero, Janne / Zhang, Guozhi / Bosmans, Hilde et al. | 2020
- 042805
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Virtual clinical trials in medical imaging: a reviewAbadi, Ehsan / Segars, William P. / Tsui, Benjamin M. W. / Kinahan, Paul E. / Bottenus, Nick / Frangi, Alejandro F. / Maidment, Andrew / Lo, Joseph / Samei, Ehsan et al. | 2020
- 042806
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Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomographyAbadi, Ehsan / Segars, William P. / Harrawood, Brian / Sharma, Shobhit / Kapadia, Anuj / Samei, Ehsan et al. | 2020
- 042807
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Deep-learning-based model observer for a lung nodule detection task in computed tomographyGong, Hao / Hu, Qiyuan / Walther, Andrew / Koo, Chi Wan / Takahashi, Edwin A. / Levin, David L. / Johnson, Tucker F. / Hora, Megan J. / Leng, Shuai / Fletcher, Joel G. et al. | 2020
- 043501
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Detective quantum efficiency of photon-counting CdTe and Si detectors for computed tomography: a simulation studyPersson, Mats / Wang, Adam / Pelc, Norbert J. et al. | 2020
- 044001
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Retinal image mosaicking using scale-invariant feature transformation feature descriptors and Voronoi diagramJalili, Jalil / Hejazi, Sedigheh M. / Riazi-Esfahani, Mohammad / Eliasi, Arash / Ebrahimi, Mohsen / Seydi, Mojtaba / Fard, Masoud Aghsaei / Ahmadian, Alireza et al. | 2020
- 044002
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Learning from dispersed manual annotations with an optimized data weighting policyTang, Yucheng / Gao, Riqiang / Chen, Yunqiang / Gao, Dashan / Savona, Michael R. / Abramson, Richard G. / Bao, Shunxing / Huo, Yuankai / Landman, Bennett A. et al. | 2020
- 044003
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Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy imagesHo, David Joon / Mas Montserrat, Daniel / Fu, Chichen / Salama, Paul / Dunn, Kenneth W. / Delp, Edward J. et al. | 2020
- 044501
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Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysisCandemir, Sema / Nguyen, Xuan V. / Prevedello, Luciano M. / Bigelow, Matthew T. / White, Richard D. / Erdal, Barbaros S. / Neuroimaging Initiative, Alzheimer’s Disease et al. | 2020
- 044502
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Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imagingHu, Qiyuan / Whitney, Heather M. / Giger, Maryellen L. et al. | 2020
- 044503
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Explainable end-to-end deep learning for diabetic retinopathy detection across multiple datasetsChetoui, Mohamed / Akhloufi, Moulay A. et al. | 2020
- 045501
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Search of low-contrast liver lesions in abdominal CT: the importance of scrolling behaviorBa, Alexandre / Shams, Marwa / Schmidt, Sabine / Eckstein, Miguel P. / Verdun, Francis R. / Bochud, François O. et al. | 2020
- 046501
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Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstructionVirgolin, Marco / Wang, Ziyuan / Alderliesten, Tanja / Bosman, Peter A. N. et al. | 2020
- 047501
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Automatic cancer detection on digital histopathology images of mid-gland radical prostatectomy specimensHan, Wenchao / Johnson, Carol / Warner, Andrew / Gaed, Mena / Gomez, Jose A. / Moussa, Madeleine / Chin, Joseph / Pautler, Stephen / Bauman, Glenn / Ward, Aaron D. et al. | 2020
- 049801
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Retinal image mosaicking using scale-invariant feature transformation feature descriptors and Voronoi diagram (Erratum)Jalili, Jalil / Hejazi, Sedigheh M. / Riazi-Esfahani, Mohammad / Eliasi, Arash / Ebrahimi, Mohsen / Seydi, Mojtaba / Fard, Masoud Aghsaei / Ahmadian, Alireza et al. | 2020