The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Medical Image Analysis: Human and Machine
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“Although the visual system of humans, with expert knowledge, can interpret and provide relative BFI abundance in SEM images from wound-edge tissue,26 such assessments are primarily subjective, time-intensive, limited by the availability of expert raters, and prone to interobserver variability.27-30”
From SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning (2025) · cites this paper as [30]
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Citations
Cites
Visual field maps in human cortex.
Wandell, B. A., Dumoulin, S. O., & Brewer, A. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.012 · Cited by 1,231 · cited 1×
“The deconstruction of image data proceeds through the primary visual cortex into secondary, and higher, visual cortices where different components of image data, particularly those related to signal (brightness), space (shape), and time (change), are processed in distinct and widely separated anatomic regions of the b…”
BackgroundDoshi, J., Erus, G., Ou, Y., Resnick, S. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Furth, S., & Davatzikos, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.073 · Cited by 309
Self-citation
Research works printed but not linked: 11
- Miller, 1956, The magical number seven plus or minus two: some limits on our capacity for processing information, Psychol Rev, 63, 81, 10.1037/h0043158 · DOI · Paper page
- Reeder MM. Gamuts in radiology - 4.0 web edition. Available at: http://gamuts.isradiology.org/Gamuts.htm. Accessed July. 20 2019
- Carmody, 1980, An analysis of perceptual and cognitive factors in radiographic interpretation, Perception, 9, 339, 10.1068/p090339 · DOI
- Busby, 2018, Bias in radiology: the how and why of misses and misinterpretations, Radiographics, 38, 236, 10.1148/rg.2018170107 · DOI · Paper page
- Larson, 2018, Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs, Radiology, 287, 313, 10.1148/radiol.2017170236 · DOI · Paper page
- Jack, 2001, FLAIR histogram segmentation for measurement of leukoaraiosis volume, J Magn Reson Imaging, 14, 10.1002/jmri.10011 · DOI
- Duong, 2019, Convolutional neural network for automated FLAIR lesion segmentation on clinical brain MR imaging, Am J Neuroradiol, 10.3174/ajnr.A6138 · DOI
- Shen, 2002, HAMMER: hierarchical attribute matching mechanism for elastic registration, IEEE Trans Med Imaging, 21, 1421, 10.1109/TMI.2002.803111 · DOI
- Davatzikos, 2001, Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy, Neuroimage, 14, 10.1006/nimg.2001.0937 · DOI
- Chen, 2013, A Bayesian diagnostic system to differentiate glioblastomas from solitary brain metastases, Neuroradiol J, 26, 175, 10.1177/197140091302600207 · DOI
- Herskovits, 1991, Algorithms for Bayesian belief-network precomputation, Methods Inf Med, 30, 81, 10.1055/s-0038-1634820 · DOI
Cited by
Sorted by citations
Singh, S., Muniz De Oliveira, F., Wang, C., Kumar, M., Xuan, Y., DeMazumder, D., Sen, C. K., & Roy, S. (2025) · Advances in Wound Care · doi:10.1089/wound.2024.0291 · Cited by 6
Metadata
- Authors
- Bryan, R. N., Davatzikos, C., Herskovits, E. H., Mohan, S., Rudie, J. D., & Rauschecker, A. M.
- Venue
- Academic Radiology
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 27
- Issue
- 1
- Pages
- 76-81
- ISSN
- 1076-6332
- PMC
- PMC7895494
- Cited by
- 13
- References
- 2
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Medical Image Analysis: Human and Machine. https://app.cochat.ai/papers/10.1016/j.acra.2019.09.011
- The paper
- Bryan, R. N., Davatzikos, C., Herskovits, E. H., Mohan, S., Rudie, J. D., & Rauschecker, A. M. (2020). Medical Image Analysis: Human and Machine. Academic Radiology. https://doi.org/10.1016/j.acra.2019.09.011
