Kazunori Okada, Ph.D.
Affiliations: | 2001 | University of Southern California, Los Angeles, CA, United States |
Area:
Neurobiology, Neural Networks, self-organizationGoogle:
"Kazunori Okada"Mean distance: 14.45 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorChristoph von der Malsburg | grad student | 2001 | USC | |
(Analysis, synthesis and recognition of human faces with pose variations.) |
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Publications
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Mansoor A, Cerrolaza J, Perez G, et al. (2019) A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning. Ieee Transactions On Bio-Medical Engineering |
Mendoza CS, Safdar N, Okada K, et al. (2014) Personalized assessment of craniosynostosis via statistical shape modeling. Medical Image Analysis. 18: 635-46 |
Hung J, Collins J, Weldetsion M, et al. (2014) Protein crystallization image classification with elastic net Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9034 |
Huo J, Okada K, van Rikxoort EM, et al. (2013) Ensemble segmentation for GBM brain tumors on MR images using confidence-based averaging. Medical Physics. 40: 093502 |
Sergeev S, Zhao Y, Linguraru MG, et al. (2012) Medical image registration using machine learning-based interest point detector Proceedings of Spie. 8314: 831424 |
Huo J, Okada K, Brown M. (2012) Improving semi-automated segmentation by integrating learning with active sampling Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8314 |
Huo J, Okada K, Pope W, et al. (2011) Sampling-based ensemble segmentation against inter-operator variability Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963 |
Huo J, Okada K, Kim HJ, et al. (2009) CADrx for GBM brain tumors: Predicting treatment response from changes in diffusion-weighted MRI Algorithms. 2: 1350-1367 |
Huo J, Kim HJ, Pope WB, et al. (2009) Histogram-based classification with gaussian mixture modeling for GBM tumor treatment response using ADC map Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260 |