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 574 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	9	3	12

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

Larsen TC, Tseng HW, Ross W, Araujo S, Wu P, Haneda E, Davis C, Karellas A, Vedantham S. Development and performance evaluation of an upright dedicated cone-beam breast CT system. Med Phys. 2026 Sep; 53(9):e70664.

View in: PubMed
Pells S, Pretorius PH, Pijanowski J, Fahey F, Treves ST, Kwatra N, Cao X, McCarthy W, Van Hoesen S, Collins K, Yang Y, Valencia VF, King MA. Estimation and correction of respiratory motion in pediatric renal SPECT through a data-driven center-of-mass method. Med Phys. 2026 Sep; 53(9):e70635.

View in: PubMed
Yang Z, Oliveira DC, Kerkelä L, Palombo M, Powell E, Parker CS, Cromb D, Story L, Counsell SJ, Payette K, Hajnal JV, Hutter J, Shipley RJ, Alexander DC, Slator PJ. Placental Blood-Flow Velocity Quantification From Diffusion MRI. Magn Reson Med. 2026 Dec; 96(6):2967-2977.

View in: PubMed
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).

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
Benveniste PL, Létourneau-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, Demortière 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, Mühlau 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.

View in: PubMed
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).

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed

People

Explore

Similar Concepts

Top Journals