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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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.

Descriptor ID	D007091
MeSH Number(s)	L01.224.308
Concept/Terms	Image Processing, Computer-Assisted Image Processing, Computer-Assisted Image Processing, Computer Assisted Computer-Assisted Image Processing Computer Assisted Image Processing Image Reconstruction Image Reconstruction Image Reconstructions Reconstruction, Image Reconstructions, Image 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

Below are MeSH descriptors whose meaning is more general than "Image Processing, Computer-Assisted".

Information Science [L]
Information Science [L01]
Computing Methodologies [L01.224]
Image Processing, Computer-Assisted [L01.224.308]

Below are MeSH descriptors whose meaning is related to "Image Processing, Computer-Assisted".

Below are MeSH descriptors whose meaning is more specific than "Image Processing, Computer-Assisted".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "Image Processing, Computer-Assisted" by people in this website by year, and whether "Image Processing, Computer-Assisted" was a major or minor topic of these publications.

Bar chart showing 313 publications over 29 distinct years, with a maximum of 22 publications in 2005

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1996	2	5	7
1997	4	8	12
1998	5	9	14
1999	5	5	10
2000	5	8	13
2001	5	2	7
2002	6	10	16
2003	1	4	5
2004	2	7	9
2005	5	17	22
2006	5	13	18
2007	3	6	9
2008	6	9	15
2009	4	17	21
2010	3	6	9
2011	9	4	13
2012	1	8	9
2013	10	9	19
2014	2	11	13
2015	6	6	12
2016	5	4	9
2017	3	7	10
2018	6	6	12
2019	4	5	9
2020	1	4	5
2021	0	2	2
2022	0	4	4
2023	0	3	3
2024	4	2	6

Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.

Diamandi J, Raimondo C, Alizadeh M, Flanders A, Tjoumakaris S, Gooch MR, Jabbour P, Rosenwasser R, Mouchtouris N. Use of mean apparent propagator (MAP) MRI in patients with acute ischemic stroke: A comparative study with DTI and NODDI. Magn Reson Imaging. 2025 04; 117:110290.

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Horng H, Scott C, Winham S, Jensen M, Pantalone L, Mankowski W, Kerlikowske K, Vachon CM, Kontos D, Shinohara RT. Multivariate testing and effect size measures for batch effect evaluation in radiomic features. Sci Rep. 2024 06 17; 14(1):13923.

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Yang A, Finkelstein M, Koo C, Doshi AH. Impact of Deep Learning Image Reconstruction Methods on MRI Throughput. Radiol Artif Intell. 2024 05; 6(3):e230181.

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Fernandez Gonzalez De La Vega C, Duenweg S, Jain P, Rubenstein SI, Bobholz S, Barrett MJ, LaViolette PS, Iczkowski KA. Morphologic features of prostate cancer-encased native vessels: An image analysis study. Pathol Res Pract. 2024 Apr; 256:155239.

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Choi CJ, Vent TL, Acciavatti RJ, Maidment ADA. Line-based iterative geometric calibration method for a tomosynthesis system. Med Phys. 2024 Apr; 51(4):2444-2460.

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Acciavatti RJ, Choi CJ, Vent TL, Barufaldi B, Cohen EA, Wileyto EP, Maidment ADA. Non-Isocentric Geometry for Next-Generation Tomosynthesis With Super-Resolution. IEEE Trans Med Imaging. 2024 01; 43(1):377-391.

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Duenweg SR, Brehler M, Lowman AK, Bobholz SA, Kyereme F, Winiarz A, Nath B, Iczkowski KA, Jacobsohn KM, LaViolette PS. Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy. Lab Invest. 2023 12; 103(12):100269.

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Lubala TK, Kayembe-Kitenge T, Mubungu G, Lumaka A, Kanteng G, Savage S, Luboya O, Hagerman R, Devriendt K, Lukusa-Tshilobo P. Usefulness of automated image analysis for recognition of the fragile X syndrome gestalt in Congolese subjects. Eur J Med Genet. 2023 Sep; 66(9):104819.

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Kang K, Sathe A, Mandloi S, Muller J, Ozuna GAG, Franco D, Miller C, Sharan A, Mohamed FB, Faro S, Alizadeh M, Wu C. Evaluation of eight registration algorithms applied to the insula and insular gyri. J Neuroimaging. 2023 May-Jun; 33(3):446-454.

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Liew SL, Tavenner BP, Donnelly MR, Zavaliangos-Petropulu A, Jeong JN, Barisano G, Hutton A, Simon JP, Juliano JM, Suri A, Wang Z, Abdullah A, Kim J, Ard T, Banaj N, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Cao L, Cassidy JM, Ciullo V, Conforto AB, Cramer SC, Dacosta-Aguayo R, de la Rosa E, Domin M, Dula AN, Feng W, Franco AR, Geranmayeh F, Gramfort A, Gregory CM, Hanlon CA, Hordacre BG, Kautz SA, Khlif MS, Kim H, Kirschke JS, Liu J, Lotze M, MacIntosh BJ, Matar? M, Mohamed FB, Nordvik JE, Park G, Pienta A, Piras F, Redman SM, Revill KP, Reyes M, Robertson AD, Seo NJ, Soekadar SR, Spalletta G, Sweet A, Telenczuk M, Thielman G, Westlye LT, Winstein CJ, Wittenberg GF, Wong KA, Yu C. A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms. Sci Data. 2022 06 16; 9(1):320.

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