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.
| Descriptor ID |
D007091
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| MeSH Number(s) |
L01.224.308
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| Concept/Terms |
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
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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 this website by year, and whether "Image Processing, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
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| 1995 | 2 | 3 | 5 | | 1996 | 2 | 4 | 6 | | 1997 | 5 | 10 | 15 | | 1998 | 4 | 9 | 13 | | 1999 | 1 | 7 | 8 | | 2000 | 2 | 11 | 13 | | 2001 | 0 | 9 | 9 | | 2002 | 6 | 7 | 13 | | 2003 | 5 | 9 | 14 | | 2004 | 6 | 20 | 26 | | 2005 | 9 | 16 | 25 | | 2006 | 3 | 10 | 13 | | 2007 | 11 | 17 | 28 | | 2008 | 6 | 16 | 22 | | 2009 | 4 | 19 | 23 | | 2010 | 4 | 20 | 24 | | 2011 | 5 | 10 | 15 | | 2012 | 3 | 21 | 24 | | 2013 | 9 | 20 | 29 | | 2014 | 12 | 18 | 30 | | 2015 | 10 | 17 | 27 | | 2016 | 11 | 16 | 27 | | 2017 | 10 | 29 | 39 | | 2018 | 15 | 15 | 30 | | 2019 | 15 | 14 | 29 | | 2020 | 9 | 10 | 19 | | 2021 | 14 | 7 | 21 | | 2022 | 4 | 1 | 5 | | 2023 | 4 | 7 | 11 | | 2024 | 2 | 8 | 10 | | 2025 | 13 | 7 | 20 |
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Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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Eliason G, Silosky MS. The impact of NaI(Tl) crystal hydration on gamma camera spectral response and image uniformity. J Appl Clin Med Phys. 2025 Sep; 26(9):e70218.
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Rocheleau CJ, Overton TD, da Rosa NB, Saulnier GJ, Shishvan OR, Baker CD, Enzer KG, Mueller JL. Use of an anatomical atlas in real-time EIT reconstructions of ventilation and pulsatile perfusion in preterm infants. Sci Rep. 2025 Aug 13; 15(1):29622.
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Segars HE, Nadkarni R, Badea CT, Badea A, Chin B, Johnson GA, Payne J, Samei E, Segars WP. Development of anatomically variable digital Wistar rat phantoms for small animal imaging research. Med Phys. 2025 Aug; 52(8):e18057.
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Kuehl M, Okabayashi Y, Wong MN, Gernhold L, Gut G, Kaiser N, Schwerk M, Gräfe SK, Ma FY, Tanevski J, Schäfer PSL, Mezher S, Sarabia Del Castillo J, Goldbeck-Strieder T, Zolotareva O, Hartung M, Delgado Chaves FM, Klinkert L, Gnirck AC, Spehr M, Fleck D, Joodaki M, Parra V, Shaigan M, Diebold M, Prinz M, Kranz J, Kux JM, Braun F, Kretz O, Wu H, Grahammer F, Heins S, Zimmermann M, Haas F, Kylies D, Wanner N, Czogalla J, Dumoulin B, Zolotarev N, Lindenmeyer M, Karlson P, Nyengaard JR, Sebode M, Weidemann S, Wiech T, Groene HJ, Tomas NM, Meyer-Schwesinger C, Kuppe C, Kramann R, Karras A, Bruneval P, Tharaux PL, Pastene D, Yard B, Schaub JA, McCown PJ, Pyle L, Choi YJ, Yokoo T, Baumbach J, Sáez PJ, Costa I, Turner JE, Hodgin JB, Saez-Rodriguez J, Huber TB, Bjornstad P, Kretzler M, Lenoir O, Nikolic-Paterson DJ, Pelkmans L, Bonn S, Puelles VG. Pathology-oriented multiplexing enables integrative disease mapping. Nature. 2025 Aug; 644(8076):516-526.
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Zenk M, Baid U, Pati S, Linardos A, Edwards B, Sheller M, Foley P, Aristizabal A, Zimmerer D, Gruzdev A, Martin J, Shinohara RT, Reinke A, Isensee F, Parampottupadam S, Parekh K, Floca R, Kassem H, Baheti B, Thakur S, Chung V, Kushibar K, Lekadir K, Jiang M, Yin Y, Yang H, Liu Q, Chen C, Dou Q, Heng PA, Zhang X, Zhang S, Khan MI, Azeem MA, Jafaritadi M, Alhoniemi E, Kontio E, Khan SA, Mächler L, Ezhov I, Kofler F, Shit S, Paetzold JC, Loehr T, Wiestler B, Peiris H, Pawar K, Zhong S, Chen Z, Hayat M, Egan G, Harandi M, Isik Polat E, Polat G, Kocyigit A, Temizel A, Tuladhar A, Tyagi L, Souza R, Forkert ND, Mouches P, Wilms M, Shambhat V, Maurya A, Danannavar SS, Kalla R, Anand VK, Krishnamurthi G, Nalawade S, Ganesh C, Wagner B, Reddy D, Das Y, Yu FF, Fei B, Madhuranthakam AJ, Maldjian J, Singh G, Ren J, Zhang W, An N, Hu Q, Zhang Y, Zhou Y, Siomos V, Tarroni G, Passerrat-Palmbach J, Rawat A, Zizzo G, Kadhe SR, Epperlein JP, Braghin S, Wang Y, Kanagavelu R, Wei Q, Yang Y, Liu Y, Kotowski K, Adamski S, Machura B, Malara W, Zarudzki L, Nalepa J, Shi Y, Gao H, Avestimehr S, Yan Y, Akbar AS, Kondrateva E, Yang H, Li Z, Wu HY, Roth J, Saueressig C, Milesi A, Nguyen QD, Gruenhagen NJ, Huang TM, Ma J, Singh HSH, Pan NY, Zhang D, Zeineldin RA, Futrega M, Yuan Y, Conte GM, Feng X, Pham QD, Xia Y, Jiang Z, Luu HM, Dobko M, Carré A, Tuchinov B, Mohy-Ud-Din H, Alam S, Singh A, Shah N, Wang W, Sako C, Bilello M, Ghodasara S, Mohan S, Davatzikos C, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Hess C, Mongan J, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Huang RY, Chang K, To MS, Bhardwaj S, Chong C, Agzarian M, Kozubek M, Lux F, Michálek J, Matula P, Ker Kovský M, Kopr Ivová T, Dostál M, Vybíhal V, Pinho MC, Holcomb J, Metz M, Jain R, Lee MD, Lui YW, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Colen RR, Kotrotsou A, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Bendszus M, Wick W, Mahajan A, Balaña C, Capellades J, Puig J, Choi YS, Lee SK, Chang JH, Ahn SS, Shaykh HF, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Garrett J, Larson M, Jeraj R, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Sharma S, Tseng TC, Adabi S, Xavier Falcão A, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, Niclou SP, Keunen O, Hau AC, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Luo B, Poisson LM, Wen N, Vallières M, Loutfi MAL, Fortin D, Lepage M, Morón F, Mandel J, Shukla G, Liem S, Alexandre GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Ogbole G, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu Hikima M, Soneye M, Dako F, Dorcas A, Murcia D, Fu E, Haas R, Thompson JA, Ormond DR, Currie S, Fatania K, Frood R, Simpson AL, Peoples JJ, Hu R, Cutler D, Moraes FY, Tran A, Hamghalam M, Boss MA, Gimpel J, Kattil Veettil D, Schmidt K, Cimino L, Price C, Bialecki B, Marella S, Apgar C, Jakab A, Weber MA, Colak E, Kleesiek J, Freymann JB, Kirby JS, Maier-Hein L, Albrecht J, Mattson P, Karargyris A, Shah P, Menze B, Maier-Hein K, Bakas S. Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge. Nat Commun. 2025 Jul 08; 16(1):6274.
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Gibbs K, McHugo M, Moussa-Tooks A, Woodward ND, Heckers S, Roeske MJ. Hippocampal volume in affective and non-affective psychosis. Schizophr Res. 2025 Sep; 283:11-20.
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Thite NG, Yarnell M, Fry TJ, Seefeldt M, Calderon CP, Randolph TW. Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing. Biotechnol Bioeng. 2025 Sep; 122(9):2377-2388.
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Briggs JK, Jin E, Merrins MJ, Benninger RKP. CRISP: correlation-refined image segmentation process. BMC Bioinformatics. 2025 May 26; 26(1):135.
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Nguyen DT, Imami M, Zhao LM, Wu J, Borhani A, Mohseni A, Khunte M, Zhong Z, Shi V, Yao S, Wang Y, Loizou N, Silva AC, Zhang PJ, Zhang Z, Jiao Z, Kamel I, Liao WH, Bai H. Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset. J Magn Reson Imaging. 2025 Sep; 62(3):814-824.
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Golkar E, Neupane T, Wilson L, Kwak J, Castillo R, Castillo E, Vinogradskiy Y. Comprehensive clinical evaluation of novel 4DCT-based lung function imaging methods. J Appl Clin Med Phys. 2025 Jun; 26(6):e70088.
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