Contemporary medical diagnosis is often based on imaging equipments and systems, not only for viewing that is not seen from human eyes (e.g., CT and MRI), but also for the intensive care of patients. With the advance of the imaging technology, imaging systems can easily produce an enormous volume of image/video data, so that it is impractical for medical professionals to handle. But this provides a good opportunity for computer vision: automating some parts of image/video analysis will be very helpful.

[1]	Vision-based Articulated Finger Motion Analysis for Hand Rehabilitation
[2]	Video Analysis of the Behaviors of Fruit Flies

1. Ying Wu, John Lin and Thomas S. Huang, "Analyzing and Capturing Articulated Hand Motion in Image Sequences", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.27, No.12, pp.1910-1922, Dec., 2005.  [PDF]
 
2. John Lin, Ying Wu, and Thomas S. Huang, ``Articulate Hand Motion Capturing Based on a Monte Carlo Simplex Tracker", in Proc. 17th Int'l Conf. on Pattern Recognition (ICPR04), Cambridge, UK, 2004.   [PDF]
 
3. John Lin, Ying Wu, and Thomas S. Huang, "3D Model-Based Hand Tracking Using Stochastic Direct Search Method", in Proc. IEEE Int'l Conf. on Automatic Face and Gesture Recognition (FG04), Seoul, Korea, 2004.   [PDF]
 
4. Ying Wu, John Lin and Thomas S. Huang, "Capturing Natural Hand Articulation", in Proc. IEEE Int'l Conf. on Computer Vision (ICCV'01), Vol.II, pp.426-432, Vancouver, Canada, July, 2001.   [PDF]
 
5. John Lin, Ying Wu and Thomas S. Huang, "Modeling Human Hand Constraints", in Proc. Workshop on Human Motion (Humo2000), Austin, TX, Dec., 2000.    [PDF]
 
6. Ying Wu and Thomas S. Huang, "Capturing Articulated Hand Motion: A Divide-and-Conquer Approach", In Proc. IEEE Int'l Conf. on Computer Vision (ICCV'99), pp.606-611, Greece, Sept., 1999.   [PDF]