scholarly article | Q13442814 |
P8978 | DBLP publication ID | conf/miip/ChagantiNMLHDFM16 |
P356 | DOI | 10.1117/12.2217299 |
P932 | PMC publication ID | 4845964 |
P698 | PubMed publication ID | 27127330 |
P50 | author | Robert L Harrigan | Q85562517 |
Bennett Landman | Q86839269 | ||
P2093 | author name string | Shikha Chaganti | |
Daniel Fabbri | |||
Louise Mawn | |||
Katrina Nelson | |||
Kevin Mundy | |||
Yifu Luo | |||
Steve Damon | |||
P2860 | cites work | MRI measurements of normal extraocular muscles and other orbital structures | Q74019907 |
CT scan evidence of dysthyroid optic neuropathy | Q74139205 | ||
Using morphologic parameters of extraocular muscles for diagnosis and follow-up of Graves' ophthalmopathy: diameters, areas, or volumes? | Q74805571 | ||
Orbital computed tomographic characteristics of globe subluxation in thyroid orbitopathy | Q77567436 | ||
Quantification of orbital apex crowding for screening of dysthyroid optic neuropathy using multidetector CT | Q83732596 | ||
Clinical and soft-tissue computed tomographic predictors of dysthyroid optic neuropathy: refinement of the constellation of findings at presentation | Q85073065 | ||
Is orbital volume associated with eyeball and visual cortex volume in humans? | Q28661507 | ||
Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment | Q30954061 | ||
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Predicting dysthyroid optic neuropathy using computed tomography volumetric analyses of orbital structures | Q36157117 | ||
Diagnostic ability of Barrett's index to detect dysthyroid optic neuropathy using multidetector computed tomography | Q37147402 | ||
Orbital Volumetry in Graves' Orbitopathy: Muscle and Fat Involvement in relation to Dysthyroid Optic Neuropathy | Q37731429 | ||
Neuroimaging of Graves' orbitopathy | Q38013211 | ||
Non-local statistical label fusion for multi-atlas segmentation | Q40536929 | ||
Optic nerve dysfunction in thyroid eye disease: CT | Q41435610 | ||
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Graves ophthalmopathy: the bony orbit in optic neuropathy, its apical angular capacity, and impact on prediction of risk. | Q51856248 | ||
Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context. | Q51897930 | ||
Quantitative computed tomographic predictors of compressive optic neuropathy in patients with thyroid orbitopathy: a volumetric analysis. | Q53156202 | ||
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Quantitative computed tomography of Graves' ophthalmopathy. Extraocular muscle and orbital fat in development of optic neuropathy | Q69801805 | ||
Apical optic nerve compression of dysthyroid optic neuropathy on computed tomography | Q71853861 | ||
Clinical significance of extraocular muscle volumes in Graves' ophthalmopathy: a quantitative computed tomography study | Q71860926 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | Kalman filter | Q846780 |
eye disease | Q3041498 | ||
P577 | publication date | 2016-02-01 | |
P1433 | published in | Proceedings of SPIE | Q7247172 |
P1476 | title | Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles | |
P478 | volume | 9784 |
Q87672544 | EMR-Radiological Phenotypes in Diseases of the Optic Nerve and their Association with Visual Function |
Q57819621 | Imaging biomarkers in thyroid eye disease and their clinical associations |
Q38665632 | Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology |
Q54982908 | QUADRATIC: Quality of Dice in Registration Circuits. |
Q33923203 | Structural-Functional Relationships Between Eye Orbital Imaging Biomarkers and Clinical Visual Assessments. |
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