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Daniel B Russakoff

Showing results (1-10 of 23) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Generation and application of a probabilistic breast cancer atlasDaniel B Russakoff, Akira Hasegawa
IEEE Transactions on Medical Imaging|September 2, 2004
Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimationTorsten Rohlfing, Daniel B Russakoff, Calvin R Maurer
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
Expectation maximization strategies for multi-atlas multi-label segmentationTorsten Rohlfing, Daniel B Russakoff, Calvin R Maurer
Academic Radiology|February 5, 2005
Intensity-based 2D-3D spine image registration incorporating a single fiducial markerDaniel B Russakoff, Torsten Rohlfing, John R Adler, et al.
Medical Physics|November 4, 2005
Progressive attenuation fields: fast 2D-3D image registration without precomputationTorsten Rohlfing, Daniel B Russakoff, Joachim Denzler, et al.
IEEE Transactions on Medical Imaging|November 11, 2005
Markerless real-time 3-D target region tracking by motion backprojection from projection imagesTorsten Rohlfing, Joachim Denzler, Christoph Grässl, et al.
Ophthalmic Surgery, Lasers & Imaging Retina|April 13, 2022
Proof-of-Concept Analysis of a Deep Learning Model to Conduct Automated Segmentation of OCT Images for Macular Hole VolumeAustin Pereira, Jonathan D Oakley, Simrat K Sodhi, et al.
Investigative Ophthalmology & Visual Science|February 21, 2019
Deep Learning for Prediction of AMD Progression: A Pilot StudyDaniel B Russakoff, Ali Lamin, Jonathan D Oakley, et al.
Eye (London, England)|October 13, 2018
Changes in volume of various retinal layers over time in early and intermediate age-related macular degenerationAli Lamin, Jonathan D Oakley, Adam M Dubis, et al.
IEEE Transactions on Medical Imaging|November 11, 2005
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registrationDaniel B Russakoff, Torsten Rohlfing, Kensaku Mori, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Generation and application of a probabilistic breast cancer atlasDaniel B Russakoff, Akira Hasegawa
IEEE Transactions on Medical Imaging|September 2, 2004
Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimationTorsten Rohlfing, Daniel B Russakoff, Calvin R Maurer
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
Expectation maximization strategies for multi-atlas multi-label segmentationTorsten Rohlfing, Daniel B Russakoff, Calvin R Maurer
Academic Radiology|February 5, 2005
Intensity-based 2D-3D spine image registration incorporating a single fiducial markerDaniel B Russakoff, Torsten Rohlfing, John R Adler, et al.
Medical Physics|November 4, 2005
Progressive attenuation fields: fast 2D-3D image registration without precomputationTorsten Rohlfing, Daniel B Russakoff, Joachim Denzler, et al.
IEEE Transactions on Medical Imaging|November 11, 2005
Markerless real-time 3-D target region tracking by motion backprojection from projection imagesTorsten Rohlfing, Joachim Denzler, Christoph Grässl, et al.
Ophthalmic Surgery, Lasers & Imaging Retina|April 13, 2022
Proof-of-Concept Analysis of a Deep Learning Model to Conduct Automated Segmentation of OCT Images for Macular Hole VolumeAustin Pereira, Jonathan D Oakley, Simrat K Sodhi, et al.
Investigative Ophthalmology & Visual Science|February 21, 2019
Deep Learning for Prediction of AMD Progression: A Pilot StudyDaniel B Russakoff, Ali Lamin, Jonathan D Oakley, et al.
Eye (London, England)|October 13, 2018
Changes in volume of various retinal layers over time in early and intermediate age-related macular degenerationAli Lamin, Jonathan D Oakley, Adam M Dubis, et al.
IEEE Transactions on Medical Imaging|November 11, 2005
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registrationDaniel B Russakoff, Torsten Rohlfing, Kensaku Mori, et al.
Pageof 3