![[Person image]](dbr.bmp) |
Daniel
B. Russakoff PhD candidate Advisors: Carlo Tomasi and Calvin Maurer, Jr. Computer Science Department |
Image Guidance Labs |
| Research |
My currrent research is at the intersection of computer vision and medicine. Specifically, I am working on intensity-based 2D-3D medical image registration, a special case of computer vision's pose estimation problem. 2D-3D registration is an important step in minimally-invasive image-guided surgical procedures. We are currently developing faster registration algorithms and novel, more robust similarity measures so that we can bring these techniques out of the laboratory and into the operating room. I also have interests in 2D and 3D image segmentation, information extraction from high-dimensional data, computer-aided diagnosis/detection, and articulated human motion tracking.
| Publications |
Image similarity using mutual information of regions
D. B. Russakoff, C. Tomasi, T. Rohlfing, C. R. Maurer, Jr., Proceedings of the 8th European Conference on Computer Vision (ECCV), LNCS 3023, May 2004, pp. 596-607.
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Intensity-based 2D-3D spine image registration incorporating one fiducial marker
D. B. Russakoff, T. Rohlfing, R. Shahidi, D. H. Kim, J. R. Adler, Jr., C. R. Maurer, Jr., Proceedings of the 6th International Conference on Medical Image Computing and Computer-Assisted Intenvention (MICCAI), LNCS 2878, November 2003, pp. 287-294.
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Extraction and application of expert priors to combine multiple segmentations of human brain tissue
T. Rohlfing, D. B. Russakoff, C. R. Maurer, Jr., Proceedings of the 6th International Conference on Medical Image Computing and Computer-Assisted Intenvention (MICCAI), LNCS 2879, November 2003, pp. 578-585.
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Fast intensity-based 2D-3D image registration of clinical data using light fields
D. B. Russakoff, T. Rohlfing, C. R. Maurer, Jr., Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV), October 2003, pp. 416-422.
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Expectation maximization strategies for multi-atlas multi-label segmentation
T. Rohlfing, D. B. Russakoff, C. R. Maurer, Jr., Proceedings of the 18th International Conference on Information Processing in Medical Imaging (IPMI), LNCS 2732, July 2003, pp. 210-221.
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Evaluation of intensity-based 2D-3D spine image registration using clinical gold-standard data
D. B. Russakoff, T. Rohlfing, A. Ho, D. H. Kim, R. Shahidi, J. R. Adler, Jr, C. R. Maurer, Jr., Proceedings of the Second International Workshop on Biomedical Image Registration (WBIR), LNCS 2717, June 2003, pp. 151-160.
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An expectation maximization-like algorithm for multi-atlas multi-label segmentation
T. Rohlfing, D. B. Russakoff, C. R. Maurer, Jr., Bildverarbeitung fur die Medizin (BVM), March 2003, pp. 348-352.
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Fast calculation of digitally reconstructed radiographs using light fields
D. B. Russakoff, T. Rohlfing, D. Rueckert, R. Shahidi, D. H. Kim, C. R. Maurer, Jr., Medical Imaging 2003: Image Processing, Proc. SPIE 5032: February 2003, pp. 684-695.
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Head tracking using stereo
D. B. Russakoff, M. Herman, Machine Vision and Applications 13(3), 2002, pp. 164-173.
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An intensity-based registration algorithm for probabilistic images and its application for 2-D to 3-D images registration
T. Rohlfing, D. B. Russakoff, D. Rueckert, R. Shahidi, D. H. Kim, C. R. Maurer, Jr., Medical Imaging 2002: Image Processing, Proc. SPIE 4684: February 2002, pp. 581-591.
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Fuzzy segmentation of X-ray fluoroscopy images
D. B. Russakoff, T. Rohlfing, C. R. Maurer, Jr., Medical Imaging 2002: Image Processing, Proc. SPIE 4684: February 2002, pp. 146-154.
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| Teaching |
I have been a Teaching Assistant for the following classes:
Winter 2004: CS 223b: Introduction to Computer Vision
Summer 2003: CS 121: Introduction to Artificial Intelligence
Autumn, Winter, and Spring 2000-2001: CS 528: Broad Area Colloquium for Artificial Intelligence, Geometry, Graphics, Robotics and Vision
| Links |
Harvard University Seismology Dept.