Yuhua Gu, Ph.D.
Affiliations: | 2009 | University of South Florida, Tampa, FL, United States |
Area:
Artificial Intelligence, Computer ScienceGoogle:
"Yuhua Gu"Parents
Sign in to add mentor| Dmitry B. Goldgof | grad student | 2009 | University of South Florida | |
| (Ant clustering with consensus.) | ||||
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Publications
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| Srikumar T, Siegel EM, Gu Y, et al. (2019) Semiautomated Measure of Abdominal Adiposity Using Computed Tomography Scan Analysis. The Journal of Surgical Research. 237: 12-21 |
| Athelogou M, Kim HJ, Dima A, et al. (2016) Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge. Academic Radiology |
| Kalpathy-Cramer J, Zhao B, Goldgof D, et al. (2016) A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. Journal of Digital Imaging |
| Grove O, Berglund AE, Schabath MB, et al. (2015) Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. Plos One. 10: e0118261 |
| Budzevich M, Grove O, Balagurunathan Y, et al. (2014) SU-E-QI-16: Reproducibility of Computed Tomography Quantitative Structural Features Using the FDA Thoracic Phantom Image Database. Medical Physics. 41: 380 |
| Balagurunathan Y, Kumar V, Gu Y, et al. (2014) Test-retest reproducibility analysis of lung CT image features. Journal of Digital Imaging. 27: 805-23 |
| Balagurunathan Y, Gu Y, Wang H, et al. (2014) Reproducibility and Prognosis of Quantitative Features Extracted from CT Images. Translational Oncology. 7: 72-87 |
| Hawkins SH, Korecki JN, Balagurunathan Y, et al. (2014) Predicting outcomes of nonsmall cell lung cancer using CT image features Ieee Access. 2: 1418-1426 |
| Gu Y, Kumar V, Hall LO, et al. (2013) Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach. Pattern Recognition. 46: 692-702 |
| Krewer H, Geiger B, Hall LO, et al. (2013) Effect of texture features in computer aided diagnosis of pulmonary nodules in low-dose computed tomography Proceedings - 2013 Ieee International Conference On Systems, Man, and Cybernetics, Smc 2013. 3887-3891 |