 Image Interpretation, Computer-Assisted
"Image Interpretation, 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.
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
| Descriptor ID |
D007090
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| MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.313.500.750.100.158.600
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| Concept/Terms |
Image Interpretation, Computer-Assisted- Image Interpretation, Computer-Assisted
- Computer-Assisted Image Interpretation
- Computer-Assisted Image Interpretations
- Image Interpretations, Computer-Assisted
- Interpretation, Computer-Assisted Image
- Interpretations, Computer-Assisted Image
- Image Interpretation, Computer Assisted
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Below are MeSH descriptors whose meaning is more general than "Image Interpretation, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Interpretation, Computer-Assisted".
This graph shows the total number of publications written about "Image Interpretation, Computer-Assisted" by people in this website by year, and whether "Image Interpretation, 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 |
|---|
| 1999 | 0 | 1 | 1 | | 2001 | 0 | 1 | 1 | | 2004 | 6 | 1 | 7 | | 2005 | 4 | 1 | 5 | | 2006 | 9 | 3 | 12 | | 2007 | 6 | 3 | 9 | | 2008 | 3 | 5 | 8 | | 2009 | 11 | 2 | 13 | | 2010 | 7 | 3 | 10 | | 2011 | 8 | 3 | 11 | | 2012 | 7 | 11 | 18 | | 2013 | 12 | 2 | 14 | | 2014 | 7 | 6 | 13 | | 2015 | 9 | 7 | 16 | | 2016 | 13 | 8 | 21 | | 2017 | 9 | 6 | 15 | | 2018 | 6 | 6 | 12 | | 2019 | 7 | 4 | 11 | | 2020 | 6 | 1 | 7 | | 2021 | 4 | 1 | 5 | | 2022 | 0 | 1 | 1 | | 2023 | 0 | 1 | 1 | | 2024 | 0 | 7 | 7 | | 2025 | 6 | 5 | 11 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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Chen J, Wei S, Liu Y, Bian Z, He Y, Carass A, Bai H, Du Y. Unsupervised learning of spatially varying regularization for diffeomorphic image registration. Med Image Anal. 2026 Feb; 108:103887.
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Kann BH, Vossough A, Brüningk SC, Familiar AM, Aboian M, Linguraru MG, Yeom KW, Chang SM, Hargrave D, Mirsky D, Storm PB, Huang RY, Resnick AC, Weller M, Mueller S, Prados M, Peet AC, Villanueva-Meyer JE, Bakas S, Fangusaro J, Nabavizadeh A, Kazerooni AF. Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art. Lancet Oncol. 2025 Nov; 26(11):e597-e606.
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Kazerooni AF, Familiar AM, Aboian M, Brüningk SC, Vossough A, Linguraru MG, Huang RY, Hargrave D, Peet AC, Resnick AC, Storm PB, Mirsky D, Yeom KW, Weller M, Prados M, Chang SM, Mueller S, Villanueva-Meyer JE, Bakas S, Fangusaro J, Kann BH, Nabavizadeh A. Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation. Lancet Oncol. 2025 Nov; 26(11):e607-e618.
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Nguyen C, Hulsey G, James K, James T, Carlson JM. Deep Learning Classification of Prostate Cancer Using MRI Histopathologic Data. Radiol Imaging Cancer. 2025 Sep; 7(5):e240381.
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Hsu WC, Wang Y, Wu YF, Chen R, Afyouni S, Liu J, Vin S, Shi V, Imami M, Chotiyanonta JS, Zandieh G, Cai Y, Leal JP, Oishi K, Zaheer A, Ward RC, Zhang PJL, Wu J, Jiao Z, Kamel IR, Lin G, Bai HX. MRI-based Ovarian Lesion Classification via a Foundation Segmentation Model and Multimodal Analysis: A Multicenter Study. Radiology. 2025 Aug; 316(2):e243412.
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Miller JH, Lefkowitz D, Maulsby G, Mechtler L, Pinter N, Snyder T, Hayes L, Carpenter J, Koral K, Cornejo P, Levendovszky SR, Warntjes JBM, Johansson P, Lange E. Neuroimaging Reader Study on Clinical Sensitivity and Specificity Using Synthetic MRI Based on MR Quantification. AJNR Am J Neuroradiol. 2025 Jun 03; 46(6):1196-1202.
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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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Yang F, Hu R, Hu J, Zhao L, Zhang Y, Mao Y, Tang J, Li S, He J, Chen R, Guo J, Zhang W, Zhu L, Jiao X, Liu S, Luo G, Zhou H, Fang X, Zheng H, Li L, Han Z, Jiao Z, Bai HX, Li J, Liao W. Automated deep learning-assisted early detection of radiation-induced temporal lobe injury on MRI: a multicenter retrospective analysis. Eur Radiol. 2025 Sep; 35(9):5239-5251.
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Ahmed SR, Befano B, Egemen D, Rodriguez AC, Desai KT, Jeronimo J, Ajenifuja KO, Clark C, Perkins R, Campos NG, Inturrisi F, Wentzensen N, Han P, Guillen D, Norman J, Goldstein AT, Madeleine MM, Donastorg Y, Schiffman M, de Sanjose S, Kalpathy-Cramer J. Generalizable deep neural networks for image quality classification of cervical images. Sci Rep. 2025 Feb 21; 15(1):6312.
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Tompkins RM, Fujiwara T, Schrauben EM, Browne LP, van Schuppen J, Clur SA, Friesen RM, Englund EK, Barker AJ, van Ooij P. Third trimester fetal 4D flow MRI with motion correction. Magn Reson Med. 2025 May; 93(5):1969-1983.
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