Yanxi Liu and Frank Dellaert, Classification driven medical image retrieval, Proc. of the Image Understanding Workshop, 1998. xxxviii Home/Search Document Details and Download
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3-D Deformable Registration Using a Statistical Atlas with.. - Chen (1999) (Correct)
.... user interface which allows a radiologist to semi automatically index images represented by a general model [4] Liu and Dellaert employed image classification to retrieve similar cases in a well defined database, where the distance metric defining a classifier functioned as the similarity metric [60]. Guimond and Subsol approached the retrieval of volume of interest (VOI) using intensity based deformable registration between the VOI given by a user and images in the database [37] Morphological 115 similarity is measured using correlation. Researchers at Los Alamos National Lab have developed ....
Liu and Dellaert, "Classification-driven medical image retrieval", Image Understanding Workshop, November, 1998.
Robust Midsagittal Plane Extraction from Coarse.. - Liu, Collins, Rothfus (2000) Self-citation (Liu) (Correct)
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Y. Liu and F Dellaert. Classification Driven Medical Image Retrieval. In Image Understandard Workshop. DARPA, November 1998.
Computational Symmetry - Liu (2000) Self-citation (Liu) (Correct)
....plane (MSP) However, human brains are almost never perfectly symmetric [2, 3, 7] Pathological brains, in particular, often depart drastically from perfect reflectional symmetry. For effective pathological brain image alignment and comparison in a large pathological medical image database (e.g. [2, 21, 22, 29]) it is most desirable to define a plane of reference that is invariant for symmetrical as well as asymmetrical brain images and to develop algorithms that capture this reference plane robustly. 5 Figure 4: KA3 figures out the spatial and kinematic relations of a gearbox. We have developed an ....
....By using 50 asymmetry measurements of each brain (Figure 7) we have constructed an image retrieval system to find most similar images in the database for a given query image. Figure 8 displays two sample retrieval results. The system achieves around 80 average true positive rate during retrieval [21, 22]. 1 The noise is measured by SNR or Signal to Noise Ratio, which is defined as 10 log(var(signal) var(noise) An SNR of less than 0 means that the noise has a higher variance than the signal. 6 (a) b) c) d) e) f) g) h) Figure 5: The ideal midsagittal planes (iMSP) extracted from ....
Y. Liu and F. Dellaert. Classification-Driven Medical Image Retrieval. In Image Understanding Workshop. DARPA, November 1998.
Medical Image Retrieval Based on Plaque Appearance - Amores, Radeva (Correct)
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Yanxi Liu and Frank Dellaert, Classification driven medical image retrieval, Proc. of the Image Understanding Workshop, 1998. xxxviii
A Review of Content-Based Image Retrieval Systems.. - Müller, Michoux.. (Correct)
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Y. Liu, F. Dellaert, Classification-driven medical image retrieval, in: Proceedings of the ARPA Image Understanding Workshop, 1997.
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