Okada K - Search Results

1

Hierarchical constrained local model using ICA and its application to Down syndrome detection.

Zhao Q, Okada K, Rosenbaum K, Zand DJ, Sze R, Summar M, Linguraru MG. Zhao Q, et al. Among authors: okada k. Med Image Comput Comput Assist Interv. 2013;16(Pt 2):222-9. doi: 10.1007/978-3-642-40763-5_28. Med Image Comput Comput Assist Interv. 2013. PMID: 24579144

2

Multi-organ segmentation with missing organs in abdominal CT images.

Suzuki M, Linguraru MG, Okada K. Suzuki M, et al. Among authors: okada k. Med Image Comput Comput Assist Interv. 2012;15(Pt 3):418-25. doi: 10.1007/978-3-642-33454-2_52. Med Image Comput Comput Assist Interv. 2012. PMID: 23286158

3

Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA.

Zhao Q, Okada K, Rosenbaum K, Kehoe L, Zand DJ, Sze R, Summar M, Linguraru MG. Zhao Q, et al. Among authors: okada k. Med Image Anal. 2014 Jul;18(5):699-710. doi: 10.1016/j.media.2014.04.002. Epub 2014 Apr 15. Med Image Anal. 2014. PMID: 24835178

4

Automated Down syndrome detection using facial photographs.

Zhao Q, Rosenbaum K, Okada K, Zand DJ, Sze R, Summar M, Linguraru MG. Zhao Q, et al. Among authors: okada k. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3670-3. doi: 10.1109/EMBC.2013.6610339. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24110526

5

Personalized assessment of craniosynostosis via statistical shape modeling.

Mendoza CS, Safdar N, Okada K, Myers E, Rogers GF, Linguraru MG. Mendoza CS, et al. Among authors: okada k. Med Image Anal. 2014 May;18(4):635-46. doi: 10.1016/j.media.2014.02.008. Epub 2014 Mar 12. Med Image Anal. 2014. PMID: 24713202

6

Ensemble learning for the detection of facial dysmorphology.

Zhao Q, Werghi N, Okada K, Rosenbaum K, Summar M, Linguraru MG. Zhao Q, et al. Among authors: okada k. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:754-7. doi: 10.1109/EMBC.2014.6943700. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25570068

7

Noninvasive differential diagnosis of dental periapical lesions in cone-beam CT scans.

Okada K, Rysavy S, Flores A, Linguraru MG. Okada K, et al. Med Phys. 2015 Apr;42(4):1653-65. doi: 10.1118/1.4914418. Med Phys. 2015. PMID: 25832055

8

A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.

Mansoor A, Cerrolaza JJ, Perez G, Biggs E, Okada K, Nino G, Linguraru MG. Mansoor A, et al. Among authors: okada k. IEEE Trans Biomed Eng. 2020 Apr;67(4):1206-1220. doi: 10.1109/TBME.2019.2933508. Epub 2019 Aug 14. IEEE Trans Biomed Eng. 2020. PMID: 31425015 Free PMC article.

9

Severity quantification of pediatric viral respiratory illnesses in chest X-ray images.

Okada K, Golbaz M, Mansoor A, Perez GF, Pancham K, Khan A, Nino G, Linguraru MG. Okada K, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:165-8. doi: 10.1109/EMBC.2015.7318326. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26736226 Free PMC article.

10

Robust pulmonary nodule segmentation in CT: improving performance for juxtapleural cases.

Okada K, Ramesh V, Krishnan A, Singh M, Akdemir U. Okada K, et al. Med Image Comput Comput Assist Interv. 2005;8(Pt 2):781-9. doi: 10.1007/11566489_96. Med Image Comput Comput Assist Interv. 2005. PMID: 16686031

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