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singhsh's library [90 articles]

Recent papers added to singhsh's library.
  • Beyond eigenfaces: probabilistic matching for face recognition
    Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on (1998), pp. 30-35.
    posted to demo eigenfaces by singhsh on 2008-08-22 19:56:16 as **
  • Constraint factor graph cutbased active contour method for automated cellular image segmentation in RNAi screening
    Journal of Microscopy, Vol. 230, No. 2. (May 2008), pp. 177-191.
    by C Chen, H Li, X Zhou, STC Wong
    posted to cell microscopy segmentation by singhsh on 2008-07-28 16:42:25 as ** along with 1 person jyuh
  • Principal Component Analysis Based on L1-Norm Maximization
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 9. (2008), pp. 1672-1680.
    by Nojun Kwak
    posted to learning by singhsh on 2008-07-21 16:48:00 as ** along with 1 person xtizon
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    (28 August 2006)
    by Christopher M Bishop
  • NOVEL CELL SEGMENTATION AND ONLINE LEARNING ALGORITHMS FOR CELL PHASE IDENTIFICATION IN AUTOMATED TIME-LAPSE MICROSCOPY
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on (2007), pp. 65-68.
    by Meng Wang, Xiaobo Zhou, Fuhai Li, J Huckins, RW King, STC Wong
    posted to cell microscopy segmentation by singhsh on 2008-07-21 16:43:34 as **
  • SEGMENTATION OF TOUCHING CELLS USING GRADIENT FLOW TRACKING
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on (2007), pp. 77-80.
    by Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, STC Wong
    posted to cell microscopy segmentation by singhsh on 2008-07-21 16:41:56 as **
  • Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy
    Bioinformatics, Vol. 24, No. 1. (1 January 2008), pp. 94-101.
    by Meng Wang, Xiaobo Zhou, Fuhai Li, Jeremy Huckins, Randall W King, Stephen T Wong
    posted to cell microscopy segmentation by singhsh on 2008-07-21 16:40:32 as **
  • Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy
    Biomedical Engineering, IEEE Transactions on, Vol. 53, No. 4. (2006), pp. 762-766.
    by Xiaowei Chen, Xiaobo Zhou, STC Wong
    posted to cell microscopy segmentation by singhsh on 2008-07-21 16:37:26 as ** along with 1 person dwf
  • Detection of blob objects in microscopic zebrafish images based on gradient vector diffusion
    Cytometry Part A, Vol. 71A, No. 10. (2007), pp. 835-845.
    by Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Jarema Malicki, Andrew Mara, Scott A Holley, Weiming Xia, Stephen TC Wong
    posted to cell microscopy segmentation by singhsh on 2008-07-21 16:35:12 as **
  • Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators
    by Tao Shi, Mikhail Belkin, Bin Yu
    posted to learning mixture models by singhsh on 2008-07-14 21:11:17 as **
  • Crowd Segmentation Through Emergent Labeling
    Statistical Methods in Video Processing (2004), pp. 187-198.
    by Peter H Tu, Jens Rittscher
    posted to ge-cell segmentation by singhsh on 2008-07-08 21:45:28 as **
  • Shape Matching and Recognition – Using Generative Models and Informative Features
    Computer Vision - ECCV 2004 (2004), pp. 195-209.
    by Zhuowen Tu, Alan Yuille
    posted to ge-cell-imaging segmentation by singhsh on 2008-06-11 16:37:47 as ** along with 1 person egozi
  • Discovering Genomics, Proteomics, and Bioinformatics
    (13 September 2002)
    by Malcolm A Campbell, Laurie J Heyer
    posted to biology by singhsh on 2008-06-03 15:15:30 as ** along with 1 person j4murali
  • Evaluating performance in three-dimensional fluorescence microscopy
    Journal of Microscopy, Vol. 228, No. 3. (December 2007), pp. 390-405.
    by John M Murray, Paul L Appleton, Jason R Swedlow, Jennifer C Waters
    posted to confocal fluorescence microscopy by singhsh on 2008-05-26 17:56:07 as ** along with 1 person lechristophe
  • Handbook of Biological Confocal Microscopy
    (04 August 2006)
    by J Pawley
  • Computational imaging in cell biology.
    The Journal of cell biology, Vol. 161, No. 3. (12 May 2003), pp. 477-481.
    by R Eils, C Athale
  • Multiple immunofluorescence labelling of formalin-fixed paraffin-embedded (FFPE) tissue
    BMC Cell Biology, Vol. 9 (19 March 2008), 13.
    by David Robertson, Kay Savage, Jorge S Reis-Filho, Clare M Isacke
    posted to confocal fluorescence microscopy by singhsh on 2008-05-16 20:24:42 as ** along with 3 people Plinio voldog jyuh
  • The Tumor Microenvironment
    by Lynn Matrisian
    posted to tme tumor by singhsh on 2008-05-16 01:16:53 as ** along with 1 group Tumor Microenvironment @ OSU
  • The third dimension bridges the gap between cell culture and live tissue
    Nature Reviews Molecular Cell Biology, Vol. 8, No. 10., pp. 839-845.
    by Francesco Pampaloni, Emmanuel G Reynaud, Ernst HK Stelzer
  • 3D Cell Nuclei Segmentation Based on Gradient Flow Tracking
    BMC Cell Biology, Vol. 8 (04 September 2007), 40.
    by Gang Li, Tianming Liu, Ashley Tarokh, Jingxin Nie, Lei Guo, Andrew Mara, Scott Holley, Stephen Wong
  • notes Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
    (01 December 2005)
    by Carl E Rasmussen, Christopher KI Williams
  • On the fitting of surfaces to data with covariances
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 11. (2000), pp. 1294-1303.
    posted to regression by singhsh on 2008-04-01 17:37:46 as **
  • Approximation of n-dimensional data using spherical and ellipsoidal primitives
    Systems, Man and Cybernetics, Part A, IEEE Transactions on, Vol. 32, No. 2. (2002), pp. 269-278.
    posted to regression by singhsh on 2008-04-01 17:37:35 as **
  • Fitting superellipses
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 7. (2000), pp. 726-732.
    by PL Rosin
    posted to regression by singhsh on 2008-04-01 17:35:29 as **
  • Direct least square fitting of ellipses
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 21, No. 5. (1999), pp. 476-480.
    by A Fitzgibbon, M Pilu, RB Fisher
    posted to tools by singhsh on 2008-04-01 17:00:43 as ** along with 2 people motchy hiromy007
  • Nikon MicroscopyU: Introduction to Fluorescent Proteins
  • Evaluation of shape descriptors for the morphometric analysis of cell nuclei.
    Pathol Res Pract, Vol. 181, No. 2. (May 1986), pp. 213-222.
    posted to shape by singhsh on 2008-03-24 17:09:15 as **
  • The transfer function bake-off
    Computer Graphics and Applications, IEEE, Vol. 21, No. 3. (2001), pp. 16-22.
    by H Pfister, B Lorensen, C Bajaj, G Kindlmann, W Schroeder, LS Avila, KM Raghu, R Machiraju, Jinho Lee, Jinho Lee
    posted to transfer-functions by singhsh on 2008-03-23 15:28:36 as **
  • Multidimensional Transfer Functions for Interactive Volume Rendering
    IEEE Transactions on Visualization and Computer Graphics, Vol. 8, No. 3. (July 2002), pp. 270-285.
    by Joe Kniss, Gordon Kindlmann, Charles Hansen
  • Image-based transfer function design for data exploration in volume visualization
    (1998), pp. 319-326.
    by Shiaofen Fang, Tom Biddlecome, Mihran Tuceryan
    posted to transfer-functions by singhsh on 2008-03-23 15:27:57 as **
  • Curvature-based transfer functions for direct volume rendering: methods and applications
    Visualization, 2003. VIS 2003. IEEE (2003), pp. 513-520.
    posted to transfer-functions by singhsh on 2008-03-23 15:24:52 as **
  • Gaussian Transfer Functions for Multi-Field Volume Visualization
    (2003)
    by Joe Kniss, Simon Premoze, Milan Ikits, Aaron Lefohn, Charles Hansen, Emil Praun
    posted to transfer-functions by singhsh on 2008-03-23 15:23:44 as **
  • Semi-automatic generation of transfer functions for direct volume rendering
    (1998), pp. 79-86.
    by Gordon Kindlmann, James W Durkin
    posted to transfer-functions by singhsh on 2008-03-23 15:22:35 as **
  • Characteristic Quantities of Microvascular Structures in CLSM Volume Datasets
    Medical Imaging, IEEE Transactions on, Vol. 26, No. 8. (2007), pp. 1103-1114.
    posted to confocal visualization by singhsh on 2008-03-19 17:41:14 as **
  • The Two-Point Correlation Function: A Measure of Interclass Separability
    Journal of Mathematical Imaging and Vision, Vol. 10, No. 1. (1 January 1999), pp. 7-25.
    posted to learning npcf by singhsh on 2008-03-16 04:04:47 as **
  • Spectral Separation of Multifluorescence Labels with the LSM 510 META
  • Multispectral imaging fluorescence microscopy for living cells.
    Cell Struct Funct, Vol. 27, No. 5. (October 2002), pp. 367-374.
  • Spectral Imaging and Linear Unmixing in Light Microscopy
    Microscopy Techniques (2005), pp. 245-265.
    by Timo Zimmermann
  • Multi-spectral imaging and linear unmixing add a whole new dimension to laser scanning fluorescence microscopy.
    Biotechniques, Vol. 31, No. 6. (December 2001)
  • A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images
    Cytometry Part A, Vol. 71A, No. 9. (2007), pp. 724-736.
    by Gang Lin, Monica K Chawla, Kathy Olson, Carol A Barnes, John F Guzowski, Christopher Bjornsson, William Shain, Badrinath Roysam
    posted to confocal microscopy by singhsh on 2008-03-14 02:53:07 as **
  • A kernel view of the dimensionality reduction of manifolds
    (2004)
    by J Ham, D Lee, S Mika, B Scholkopf
    posted to kernels learning manifolds by singhsh on 2008-03-07 22:05:38 as **
  • All of Statistics : A Concise Course in Statistical Inference (Springer Texts in Statistics)
    (17 September 2004)
    by Larry Wasserman
  • Scientists on Science: The Tumor Microenvironment
    by Lynn Matrisian
    posted to cancer tme tumor by singhsh on 2008-03-04 23:45:12 as **
  • Maximum Likelihood from Incomplete Data via the EM Algorithm
    by AP Dempster, NM Laird, DB Rubin
  • A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants
    (1998)
    by R Neal, G Hinton
    edited by MI Jordan
  • Expectation-Maximization as lower bound maximization
    (1998)
    by T Minka
  • A Hierarchical Algorithm for MR Brain Image Parcellation
    Medical Imaging, IEEE Transactions on, Vol. 26, No. 9. (2007), pp. 1201-1212.
    by KM Pohl, S Bouix, M Nakamura, T Rohlfing, RW Mccarley, R Kikinis, WEL Grimson, ME Shenton, WM Wells, WM Wells
  • A Bayesian model for joint segmentation and registration
    NeuroImage, Vol. 31, No. 1. (15 May 2006), pp. 228-239.
    by Kilian M Pohl, John Fisher, Grimson, Ron Kikinis, William M Wells
  • Optical sectioning microscopy
    Nature Methods, Vol. 2, No. 12. (18 November 2005), pp. 920-931.
    by José-Angel Conchello, Jeff W Lichtman
  • Fluorescence microscopy
    Nature Methods, Vol. 2, No. 12. (18 November 2005), pp. 910-919.
    by Jeff W Lichtman, José-Angel Conchello
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