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 571 publications over 31 distinct years, with a maximum of 33 publications in 2011

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

Year	Major Topic	Minor Topic	Total
1996	4	6	10
1997	2	4	6
1998	5	9	14
1999	3	8	11
2000	3	8	11
2001	5	6	11
2002	2	11	13
2003	7	14	21
2004	7	18	25
2005	3	23	26
2006	6	19	25
2007	6	20	26
2008	3	17	20
2009	4	16	20
2010	6	22	28
2011	10	23	33
2012	3	13	16
2013	8	22	30
2014	6	19	25
2015	8	13	21
2016	6	13	19
2017	5	9	14
2018	11	20	31
2019	8	7	15
2020	8	8	16
2021	13	12	25
2022	2	5	7
2023	4	7	11
2024	7	8	15
2025	10	7	17
2026	7	2	9

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

Argyropoulos GPD, Butler CR, Saranathan M. Toward reliable thalamic segmentation: an evaluation of automated methods for structural MRI. Brain Struct Funct. 2026 Jul 18; 231(7).

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Nguyen DH, Das D, Bilgin A, Patterson D, Hook M, Butson C, Cacciola A, Jangir VK, Saranathan M. Revisiting the role of structural connectivity-based parcellation in thalamic nuclei segmentation: Benchmarking against recent state-of-the-art methods. PLoS One. 2026; 21(6):e0351431.

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Kong L, Zottig X, Elferich J, Grigorieff N. Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model. Elife. 2026 Apr 30; 14.

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Benveniste PL, L?tourneau-Guillon L, Araujo D, Chougar L, Fetco D, Hori M, Kamiya K, Messina S, Tsagkas C, Audoin B, Bakshi R, Bannier E, Blezek D, Brisset JC, Callot V, Charlson E, Chen M, Ciccarelli O, Demorti?re S, Edan G, Filippi M, Granberg T, Granziera C, Hemond CC, Keegan BM, Kerbrat A, Kirschke J, Kolind S, Labauge P, Lee LE, Liu Y, Mainero C, McGinnis J, Laines Medina N, M?hlau M, Nair G, O'Grady KP, Oh J, Ouellette R, Prat A, Reich DS, Rocca MA, Shepherd TM, Smith SA, Stawiarz L, Talbott J, Tam R, Tauhid S, Traboulsee A, Treaba CA, Valsasina P, Vavasour Z, Yiannakas M, Lombaert H, Cohen-Adad J. Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers. Mult Scler. 2026 May; 32(6):598-613.

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Cummings CE, Bastien BL, Martinez JA, Luo J, Thyme SB. StrIPETrack: a real-time, ROI-flexible tracking platform for high-throughput zebrafish behavior. Biol Open. 2026 Apr 15; 15(4).

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Das D, Iglehart C, Bilgin A, Saranathan M. Robust thalamic nuclei segmentation using spectral clustering of fiber orientation distributions. PLoS One. 2026; 21(3):e0345649.

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Sigmund EE, Rauh SS, Iima M, Federau C, Hernando D, Jalnefjord O, Jansen JFA, Jasse J, Jerome NP, Kaandorp MPT, Kurugol S, Laun FB, Liu MM, Ljimani A, Niendorf T, Reiter DA, Shazeeb MS, Shukla-Dave A, Stabinska J, Wetscherek A, While PT, Wu D, Le Bihan D, Gurney-Champion OJ. Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations. J Magn Reson Imaging. 2026 Jun; 63(6):1782-1801.

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Auer B, De Moraes A, Pabon AJR, Clerc OF, Bhimaniya S, Kijewski MF, Kurian A, Vijayakumar S, Cuddy SAM, Di Carli MF, Dorbala S. Dynamic Acquisition of [99mTc]Tc-Pyrophosphate SPECT/CT Images in Transthyretin Cardiac Amyloidosis: A Pilot Study. J Nucl Med. 2026 02 02; 67(2):283-290.

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Pijanowski J, Pretorius PH, Segars WP, Pells S, Cao X, Ljungberg M, Kwatra N, Treves ST, Fahey F, Yang Y, King MA. A data-driven respiratory motion correction for pediatric DMSA renal SPECT imaging: A simulation study. Med Phys. 2026 Jan; 53(1):e70279.

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Steele N, Huggins AA, Morey RA, Hussain A, Russell C, Suarez-Jimenez B, Pozzi E, Jameei H, Schmaal L, Veer IM, Waller L, Jahanshad N, Thomopoulos SI, Salminen LE, Olff M, Frijling JL, Veltman DJ, Koch SBJ, Nawijn L, van Zuiden M, Wang L, Zhu Y, Li G, Stein DJ, Ipser J, Neria Y, Zhu X, Ravid O, Zilcha-Mano S, Lazarov A, Stevens JS, Ressler K, Jovanovic T, van Rooij SJH, Fani N, Mueller SC, Hudson AR, Daniels JK, Sierk A, Manthey A, Walter H, van der Wee NJA, van der Werff SJA, Vermeiren RRJM, Schmahl C, Herzog JI, Rektor I, R?ha P, Kaufman ML, Lebois LAM, Baker JT, Rosso IM, Olson EA, King A, Liberzon I, Angstadt M, Davenport ND, Disner SG, Sponheim SR, Straube T, Hofmann D, Lu G, Qi R, Wang X, Kunch A, Xie H, Quid? Y, El-Hage W, Lissek S, Berg H, Bruce SE, Cisler J, Ross M, Herringa RJ, Grupe DW, Nitschke JB, Davidson RJ, Larson C, deRoon-Cassini TA, Tomas CW, Fitzgerald JM, Elman J, Panizzon M, Franz CE, Lyons MJ, Kremen WS, Feola B, Blackford JU, Olatunji BO, May G, Nelson SM, Gordon EM, Abdallah CG, Lanius R, Densmore M, Th?berge J, Neufeld RWJ, Thompson PM, Sun D. Image-based meta- and mega-analysis (IBMMA): A unified framework for large-scale, multi-site, neuroimaging data analysis. Neuroimage. 2025 Nov 15; 322:121554.

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