Russakoff DB - Search Results

1

Intensity-based 2D-3D spine image registration incorporating a single fiducial marker.

Russakoff DB, Rohlfing T, Adler JR Jr, Maurer CR Jr. Russakoff DB, et al. Acad Radiol. 2005 Jan;12(1):37-50. doi: 10.1016/j.acra.2004.09.013. Acad Radiol. 2005. PMID: 15691724

2

Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation.

Rohlfing T, Russakoff DB, Maurer CR Jr. Rohlfing T, et al. Among authors: russakoff db. IEEE Trans Med Imaging. 2004 Aug;23(8):983-94. doi: 10.1109/TMI.2004.830803. IEEE Trans Med Imaging. 2004. PMID: 15338732

3

Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration.

Russakoff DB, Rohlfing T, Mori K, Rueckert D, Ho A, Adler JR Jr, Maurer CR Jr. Russakoff DB, et al. IEEE Trans Med Imaging. 2005 Nov;24(11):1441-54. doi: 10.1109/TMI.2005.856749. IEEE Trans Med Imaging. 2005. PMID: 16279081

4

Expectation maximization strategies for multi-atlas multi-label segmentation.

Rohlfing T, Russakoff DB, Maurer CR. Rohlfing T, et al. Among authors: russakoff db. Inf Process Med Imaging. 2003 Jul;18:210-21. doi: 10.1007/978-3-540-45087-0_18. Inf Process Med Imaging. 2003. PMID: 15344459

5

Progressive attenuation fields: fast 2D-3D image registration without precomputation.

Rohlfing T, Russakoff DB, Denzler J, Mori K, Maurer CR Jr. Rohlfing T, et al. Among authors: russakoff db. Med Phys. 2005 Sep;32(9):2870-80. doi: 10.1118/1.1997367. Med Phys. 2005. PMID: 16266101

6

Markerless real-time 3-D target region tracking by motion backprojection from projection images.

Rohlfing T, Denzler J, Grässl C, Russakoff DB, Maurer CR Jr. Rohlfing T, et al. Among authors: russakoff db. IEEE Trans Med Imaging. 2005 Nov;24(11):1455-68. doi: 10.1109/TMI.2005.857651. IEEE Trans Med Imaging. 2005. PMID: 16279082

7

A unified graphical models framework for automated mitosis detection in human embryos.

Moussavi F, Wang Y, Lorenzen P, Oakley J, Russakoff D, Gould S. Moussavi F, et al. IEEE Trans Med Imaging. 2014 Jul;33(7):1551-62. doi: 10.1109/TMI.2014.2317836. Epub 2014 Apr 23. IEEE Trans Med Imaging. 2014. PMID: 24771573

8

Generation and application of a probabilistic breast cancer atlas.

Russakoff DB, Hasegawa A. Russakoff DB, et al. Med Image Comput Comput Assist Interv. 2006;9(Pt 2):454-61. doi: 10.1007/11866763_56. Med Image Comput Comput Assist Interv. 2006. PMID: 17354804

9

Proof-of-Concept Analysis of a Deep Learning Model to Conduct Automated Segmentation of OCT Images for Macular Hole Volume.

Pereira A, Oakley JD, Sodhi SK, Russakoff DB, Choudhry N. Pereira A, et al. Among authors: russakoff db. Ophthalmic Surg Lasers Imaging Retina. 2022 Apr;53(4):208-214. doi: 10.3928/23258160-20220315-02. Epub 2022 Apr 1. Ophthalmic Surg Lasers Imaging Retina. 2022. PMID: 35417293

10

Deep Learning for Prediction of AMD Progression: A Pilot Study.

Russakoff DB, Lamin A, Oakley JD, Dubis AM, Sivaprasad S. Russakoff DB, et al. Invest Ophthalmol Vis Sci. 2019 Feb 1;60(2):712-722. doi: 10.1167/iovs.18-25325. Invest Ophthalmol Vis Sci. 2019. PMID: 30786275

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