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Yuhua Gu, Ph.D. - Publications

Affiliations: 
2009 University of South Florida, Tampa, FL, United States 
Area:
Artificial Intelligence, Computer Science
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16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Srikumar T, Siegel EM, Gu Y, Balagurunathan Y, Garcia AL, Chen YA, Zhou JM, Zhao X, Gillies R, Clark W, Gamenthaler A, Choi J, Shibata D. Semiautomated Measure of Abdominal Adiposity Using Computed Tomography Scan Analysis. The Journal of Surgical Research. 237: 12-21. PMID 30694786 DOI: 10.1016/J.Jss.2018.11.027  0.319
2016 Athelogou M, Kim HJ, Dima A, Obuchowski N, Peskin A, Gavrielides MA, Petrick N, Saiprasad G, Colditz Colditz D, Beaumont H, Oubel E, Tan Y, Zhao B, Kuhnigk JM, Moltz JH, ... ... Gu Y, et al. Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge. Academic Radiology. PMID 27215408 DOI: 10.1016/J.Acra.2016.02.018  0.46
2016 Kalpathy-Cramer J, Zhao B, Goldgof D, Gu Y, Wang X, Yang H, Tan Y, Gillies R, Napel S. A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. Journal of Digital Imaging. PMID 26847203 DOI: 10.1007/S10278-016-9859-Z  0.602
2015 Grove O, Berglund AE, Schabath MB, Aerts HJ, Dekker A, Wang H, Velazquez ER, Lambin P, Gu Y, Balagurunathan Y, Eikman E, Gatenby RA, Eschrich S, Gillies RJ. Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. Plos One. 10: e0118261. PMID 25739030 DOI: 10.1371/Journal.Pone.0118261  0.529
2014 Budzevich M, Grove O, Balagurunathan Y, Gu Y, Wang H, Oliver J, Latifi K, Zhang G, Dilling T, Gillies R, Moros E, Lee H. SU-E-QI-16: Reproducibility of Computed Tomography Quantitative Structural Features Using the FDA Thoracic Phantom Image Database. Medical Physics. 41: 380. PMID 28037790 DOI: 10.1118/1.4888996  0.387
2014 Balagurunathan Y, Kumar V, Gu Y, Kim J, Wang H, Liu Y, Goldgof DB, Hall LO, Korn R, Zhao B, Schwartz LH, Basu S, Eschrich S, Gatenby RA, Gillies RJ. Test-retest reproducibility analysis of lung CT image features. Journal of Digital Imaging. 27: 805-23. PMID 24990346 DOI: 10.1007/S10278-014-9716-X  0.655
2014 Balagurunathan Y, Gu Y, Wang H, Kumar V, Grove O, Hawkins S, Kim J, Goldgof DB, Hall LO, Gatenby RA, Gillies RJ. Reproducibility and Prognosis of Quantitative Features Extracted from CT Images. Translational Oncology. 7: 72-87. PMID 24772210 DOI: 10.1593/Tlo.13844  0.685
2014 Hawkins SH, Korecki JN, Balagurunathan Y, Gu Y, Kumar V, Basu S, Hall LO, Goldgof DB, Gatenby RA, Gillies RJ. Predicting outcomes of nonsmall cell lung cancer using CT image features Ieee Access. 2: 1418-1426. DOI: 10.1109/Access.2014.2373335  0.645
2013 Gu Y, Kumar V, Hall LO, Goldgof DB, Li CY, Korn R, Bendtsen C, Velazquez ER, Dekker A, Aerts H, Lambin P, Li X, Tian J, Gatenby RA, Gillies RJ. Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach. Pattern Recognition. 46: 692-702. PMID 23459617 DOI: 10.1016/J.Patcog.2012.10.005  0.613
2013 Krewer H, Geiger B, Hall LO, Goldgof DB, Gu Y, Tockman M, Gillies RJ. 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. DOI: 10.1109/SMC.2013.663  0.52
2012 Rios Velazquez E, Aerts HJ, Gu Y, Goldgof DB, De Ruysscher D, Dekker A, Korn R, Gillies RJ, Lambin P. A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 105: 167-73. PMID 23157978 DOI: 10.1016/J.Radonc.2012.09.023  0.625
2012 Kumar V, Gu Y, Basu S, Berglund A, Eschrich SA, Schabath MB, Forster K, Aerts HJ, Dekker A, Fenstermacher D, Goldgof DB, Hall LO, Lambin P, Balagurunathan Y, Gatenby RA, et al. Radiomics: the process and the challenges. Magnetic Resonance Imaging. 30: 1234-48. PMID 22898692 DOI: 10.1016/J.Mri.2012.06.010  0.634
2011 Gillies RJ, Goldgof D, Hall L, Gatenby R, Kumar V, Gu Y, Basu S, Kim J, Gray J, Tockman M, Song D, Eschrich S. Abstract ED01-02: Imaging ‘omics in cancer detection Cancer Prevention Research. 4. DOI: 10.1158/1940-6207.Prev-11-Ed01-02  0.684
2011 Basu S, Hall LO, Goldgof DB, Gu Y, Kumar V, Choi J, Gillies RJ, Gatenby RA. Developing a classifier model for lung tumors in CT-scan images Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 1306-1312. DOI: 10.1109/ICSMC.2011.6083840  0.625
2009 Hore P, Hall LO, Goldgof DB, Gu Y, Maudsley AA, Darkazanli A. A Scalable Framework For Segmenting Magnetic Resonance Images. Journal of Signal Processing Systems. 54: 183-203. PMID 20046893 DOI: 10.1007/s11265-008-0243-1  0.532
2006 Maudsley AA, Darkazanli A, Alger JR, Hall LO, Schuff N, Studholme C, Yu Y, Ebel A, Frew A, Goldgof D, Gu Y, Pagare R, Rousseau F, Sivasankaran K, Soher BJ, et al. Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging. Nmr in Biomedicine. 19: 492-503. PMID 16763967 DOI: 10.1002/Nbm.1025  0.567
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