Image Processing, Computer-Assisted
"Image Processing, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
Concept/Terms
Image Analysis, Computer-Assisted- Image Analysis, Computer-Assisted
- Image Analysis, Computer Assisted
- Computer-Assisted Image Analysis
- Computer Assisted Image Analysis
- Analysis, Computer-Assisted Image
- Computer-Assisted Image Analyses
- Image Analyses, Computer-Assisted
Image Reconstruction- Image Reconstruction
- Image Reconstructions
- Reconstruction, Image
- Reconstructions, Image
Below are MeSH descriptors whose meaning is more general than "Image Processing, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Processing, Computer-Assisted".
This graph shows the total number of publications written about "Image Processing, Computer-Assisted" by people in Harvard Catalyst Profiles by year, and whether "Image Processing, Computer-Assisted" was a major or minor topic of these publication.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1993 | 16 | 24 | 40 |
| 1994 | 22 | 43 | 65 |
| 1995 | 24 | 44 | 68 |
| 1996 | 26 | 47 | 73 |
| 1997 | 24 | 60 | 84 |
| 1998 | 28 | 68 | 96 |
| 1999 | 42 | 74 | 116 |
| 2000 | 31 | 67 | 98 |
| 2001 | 37 | 57 | 94 |
| 2002 | 26 | 71 | 97 |
| 2003 | 57 | 68 | 125 |
| 2004 | 59 | 120 | 179 |
| 2005 | 38 | 153 | 191 |
| 2006 | 65 | 116 | 181 |
| 2007 | 51 | 166 | 217 |
| 2008 | 59 | 124 | 183 |
| 2009 | 51 | 153 | 204 |
| 2010 | 62 | 190 | 252 |
| 2011 | 71 | 183 | 254 |
| 2012 | 62 | 175 | 237 |
| 2013 | 61 | 169 | 230 |
| 2014 | 86 | 187 | 273 |
| 2015 | 85 | 157 | 242 |
| 2016 | 93 | 151 | 244 |
| 2017 | 89 | 149 | 238 |
| 2018 | 132 | 149 | 281 |
| 2019 | 104 | 84 | 188 |
| 2020 | 89 | 88 | 177 |
| 2021 | 71 | 110 | 181 |
| 2022 | 28 | 59 | 87 |
| 2023 | 3 | 11 | 14 |
Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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Harnessing imaging tools to guide immunotherapy trials: summary from the National Cancer Institute Cancer Imaging Steering Committee workshop. Lancet Oncol. 2023 03; 24(3):e133-e143.
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Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proc Natl Acad Sci U S A. 2023 Feb 28; 120(9):e2216399120.
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Motion guidance lines for robust data consistency-based retrospective motion correction in 2D and 3D MRI. Magn Reson Med. 2023 05; 89(5):1777-1790.
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Simultaneous multi-segment (SMSeg) EPI over multiple focal regions. Phys Med Biol. 2023 02 03; 68(4).
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Generative Sampling in Bundle Tractography using Autoencoders (GESTA). Med Image Anal. 2023 04; 85:102761.
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A comparison of manual and automated neural architecture search for white matter tract segmentation. Sci Rep. 2023 01 28; 13(1):1617.
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High-resolution motion- and phase-corrected functional MRI at 7 T using shuttered multishot echo-planar imaging. Magn Reson Med. 2023 Jun; 89(6):2227-2241.
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3D-EPI blip-up/down acquisition (BUDA) with CAIPI and joint Hankel structured low-rank reconstruction for rapid distortion-free high-resolution T2* mapping. Magn Reson Med. 2023 05; 89(5):1961-1974.
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Clinical Evaluation of Scout Accelerated Motion Estimation and Reduction Technique for 3D MR Imaging in the Inpatient and Emergency Department Settings. AJNR Am J Neuroradiol. 2023 02; 44(2):125-133.
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Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. Med Image Anal. 2023 04; 85:102759.