Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT (Unknown)
- New search for: Zhou, Zhongxing
- Further information on Zhou, Zhongxing:
- https://orcid.org/0000-0003-1935-2762
- New search for: Huber, Nathan R.
- New search for: Inoue, Akitoshi
- Further information on Inoue, Akitoshi:
- https://orcid.org/0000-0002-8610-2571
- New search for: McCollough, Cynthia H.
- Further information on McCollough, Cynthia H.:
- https://orcid.org/0000-0002-5346-332X
- New search for: Yu, Lifeng
- Further information on Yu, Lifeng:
- https://orcid.org/0000-0002-4267-1326
- New search for: Zhou, Zhongxing
- New search for: Huber, Nathan R.
- New search for: Inoue, Akitoshi
- New search for: McCollough, Cynthia H.
- New search for: Yu, Lifeng
In:
Journal of Medical Imaging
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10
, 1
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014003
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2023
- Article (Journal) / Electronic Resource
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Title:Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT
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Additional title:J. Med. Imag.
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Contributors:Zhou, Zhongxing ( author ) / Huber, Nathan R. ( author ) / Inoue, Akitoshi ( author ) / McCollough, Cynthia H. ( author ) / Yu, Lifeng ( author )
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Published in:Journal of Medical Imaging ; 10, 1 ; 014003
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Publisher:
- New search for: Society of Photo-Optical Instrumentation Engineers
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Publication date:2023-01-31
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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 10, Issue 1
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.
- 010102
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2022 List of Reviewers| 2023
- 014001
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Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learningBhurwani, Mohammad Mahdi Shiraz / Boutelier, Timothe / Davis, Adam / Gautier, Guillaume / Swetz, Dennis / Rava, Ryan A. / Raguenes, Dorian / Waqas, Muhammad / Snyder, Kenneth V. / Siddiqui, Adnan H. et al. | 2023
- 014002
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Improved bias and reproducibility of coronary artery calcification features using deconvolutionSong, Yingnan / Hoori, Ammar / Wu, Hao / Vembar, Mani / Al-Kindi, Sadeer / Ciancibello, Leslie / Terry, James G. / Jacobs, David R. / Carr, John Jeffrey / Wilson, David L. et al. | 2023
- 014003
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Multislice input for 2D and 3D residual convolutional neural network noise reduction in CTZhou, Zhongxing / Huber, Nathan R. / Inoue, Akitoshi / McCollough, Cynthia H. / Yu, Lifeng et al. | 2023
- 014004
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Unsupervised convolutional autoencoders for 4D transperineal ultrasound classificationvan den Noort, Frieda / Manzini, Claudia / Hofsteenge, Merijn / Sirmacek, Beril / van der Vaart, Carl H. / Slump, Cornelis H. et al. | 2023
- 014005
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CaraNet: context axial reverse attention network for segmentation of small medical objectsLou, Ange / Guan, Shuyue / Loew, Murray et al. | 2023
- 014006
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Retinal layer and fluid segmentation in optical coherence tomography images using a hierarchical frameworkMelo, Tânia / Carneiro, Ângela / Campilho, Aurélio / Mendonça, Ana Maria et al. | 2023
- 014007
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Automatic landmark correspondence detection in medical images with an application to deformable image registrationGrewal, Monika / Wiersma, Jan / Westerveld, Henrike / Bosman, Peter A. N. / Alderliesten, Tanja et al. | 2023
- 015001
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Decoding the radiomic features of dorsolateral prefrontal cortex in individuals with accelerated cortical changes: implications for personalized transcranial magnetic stimulationLu, Hanna / Li, Jing / Chan, Sandra Sau Man / Yue, Winny Wing Yin / Lam, Linda Chiu Wa et al. | 2023
- 015501
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Visual expertise is more than meets the eye: an examination of holistic visual processing in radiologists and architectsIvy, Spencer / Rohovit, Taren / Stefanucci, Jeanine / Stokes, Dustin / Mills, Megan / Drew, Trafton et al. | 2023
- 015502
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Modeling human observer detection in undersampled magnetic resonance imaging reconstruction with total variation and wavelet sparsity regularizationO’Neill, Alexandra G. / Valdez, Emely L. / Lingala, Sajan Goud / Pineda, Angel R. et al. | 2023
- 016001
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Measurement of enhanced vasa vasorum density in a porcine carotid model using photon counting detector CTMarsh, Jeffrey F. / Vercnocke, Andrew J. / Rajendran, Kishore / Tao, Shengzhen / Anderson, Jill L. / Ritman, Erik L. / Leng, Shuai / McCollough, Cynthia H. et al. | 2023
- 016002
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In vivo measurements of lung function using respiratory-gated micro-computed tomography in a smoke-exposure model of chronic obstructive pulmonary diseaseFord, Nancy L. / Lee, Ian / Hwangbo, Julia / Tam, Anthony / Sin, Don D. et al. | 2023
- 017501
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Single patch super-resolution of histopathology whole slide images: a comparative studyAfshari, Mehdi / Yasir, Saba / Keeney, Gary L. / Jimenez, Rafael E. / Garcia, Joaquin J. / Tizhoosh, Hamid R. et al. | 2023
- 017502
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Using deep learning to predict tumor mutational burden from scans of H&E-stained multicenter slides of lung squamous cell carcinomaDammak, Salma / Cecchini, Matthew J. / Breadner, Daniel / Ward, Aaron D. et al. | 2023
- 019801
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Errata: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correctionNalawade, Sahil S. / Yu, Fang F. / Yogananda, Chandan Ganesh Bangalore / Murugesan, Gowtham K. / Shah, Bhavya R. / Pinho, Marco C. / Wagner, Benjamin C. / Xi, Yin / Mickey, Bruce / Patel, Toral R. et al. | 2023