Biomedical Imaging Research and Development Knowledge from Images in the Medical Enterprise September 2006

[1]  Hemant D. Tagare.  Deformable 2-D template matching using orthogonal curves , 1997, IEEE Transactions on Medical Imaging.

[2]  Wei-Ying Ma,et al.  Learning similarity measure for natural image retrieval with relevance feedback , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[3]  Timothy F. Cootes,et al.  Statistical models of appearance for computer vision , 1999 .

[4]  Shiri Gordon,et al.  Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams , 2006, SPIE Medical Imaging.

[5]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Alessandra Lumini,et al.  A new approach for relevance feedback through positive and negative samples , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[7]  William M. Wells,et al.  Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.

[8]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[9]  Robert M. Haralick.  Validating image-processing algorithms , 2000, Medical Imaging: Image Processing.

[10]  Sunanda Mitra,et al.  Entropy encoding of difference images from adjacent visible human digital color photographic slices for lossless compression , 1997, Medical Imaging.

[11]  Lei Guo,et al.  A memorization learning model for image retrieval , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[12]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[13]  L Stewart Massad.  American Society for Colposcopy and Cervical Pathology and the National Institutes of Health explore research collaboration. , 2006, Journal of lower genital tract disease.

[14]  Mark P. Wilson,et al.  An Innovative Web-based System for high Lossless Compression and Fast , Interactive Transmission of Visible Human Color Images , 2000 .

[15]  L. Rodney Long,et al.  Evaluation of shape similarity measurement methods for spine X-ray images , 2004, J. Vis. Commun. Image Represent..

[16]  Sameer Antani,et al.  Evaluating Partial Shape Queries for Pathology-based Retrieval of Vertebra , 2004 .

[17]  Yongmin Kim,et al.  A methodology for evaluation of boundary detection algorithms on medical images , 1997, IEEE Transactions on Medical Imaging.

[18]  Shi-Min Hu,et al.  Optimal adaptive learning for image retrieval , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[19]  D Resnick,et al.  Traction osteophytes of the lumbar spine: radiographic-pathologic correlation. , 1988, Radiology.

[20]  Donna Brogan,et al.  Software for Sample Survey Data, Misuse of Standard Packages , 2005 .

[21]  Latifur Khan,et al.  Image classification using neural networks and ontologies , 2002, Proceedings. 13th International Workshop on Database and Expert Systems Applications.

[22]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[23]  Jose Jeronimo,et al.  Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[24]  Mariano Alcañiz Raya,et al.  Automatic Localization of Cephalometric Landmarks , 2001, J. Biomed. Informatics.

[25]  Edward L. Korn,et al.  Analysis of Health Surveys , 1999 .

[26]  Sameer Antani,et al.  Digital Tools for Collecting Data from Cervigrams for Research and Training in Colposcopy , 2006, Journal of lower genital tract disease.

[27]  L. Rodney Long,et al.  Application-level technique for faster transmission of large images on the internet , 1995, Electronic Imaging.

[28]  Mark Schiffman,et al.  Colposcopy at a crossroads. , 2006, American journal of obstetrics and gynecology.

[29]  L. Rodney Long,et al.  Pre-Indexing for Fast Partial Shape Matching of Vertebrae Images , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[30]  Thomas Deselaers,et al.  A Content-Based Approach to Image Retrieval in Medical Applications , 2006 .

[31]  S. Ghebreab,et al.  Strings and necklaces: on learning and browsing medical image segementations , 2002 .

[32]  Hamed Sari-Sarraf,et al.  Customized Hough transform for robust segmentation of cervical vertebrae from X-ray images , 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

[33]  Nikolas P. Galatsanos,et al.  Relevance feedback based on incremental learning for mammogram retrieval , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[34]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[35]  Thomas S. Huang,et al.  Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..

[36]  Sameer Antani,et al.  Interactive publications: creation and usage , 2006, Electronic Imaging.

[37]  Thomas Martin Deserno,et al.  The CLEF 2005 Cross-Language Image Retrieval Track , 2003, CLEF.

[38]  Wenyin Liu,et al.  Joint semantics and feature based image retrieval using relevance feedback , 2003, IEEE Trans. Multim..

[39]  C. Jaffe,et al.  Medical imaging databases. A National Institutes of Health workshop. , 1993, Investigative radiology.

[40]  Nikolas P. Galatsanos,et al.  A similarity learning approach to content-based image retrieval: application to digital mammography , 2004, IEEE Transactions on Medical Imaging.

[41]  Rodney Long,et al.  Preparing Digitized Cervigrams for Colposcopy Research and Education: Determination of Optimal Resolution and Compression Parameters , 2006, Journal of lower genital tract disease.

[42]  L. R. Long,et al.  An architecture for streamlining the implementation of biomedical text/image databases on the Web , 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

[43]  King Ngi Ngan,et al.  Learning semantic concepts from user feedback log for image retrieval , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[44]  L. Rodney Long,et al.  Partial shape matching for CBIR of spine x-ray images , 2003, IS&T/SPIE Electronic Imaging.

[45]  Ingemar J. Cox,et al.  PicHunter: Bayesian relevance feedback for image retrieval , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[46]  Rodney Long,et al.  Anterior osteophyte discrimination in lumbar vertebrae using size-invariant features. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[47]  Rayid Ghani,et al.  Using Error-Correcting Codes for Text Classification , 2000, ICML.

[48]  Irwin King,et al.  Relevance feedback based on parameter estimation of target distribution , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[49]  L. R. Long,et al.  Age-related changes of the cervix influence human papillomavirus type distribution. , 2006, Cancer research.

[50]  Xiaoqian Xu.  Curve Matching for Spine X-ray Image Retrieval using Dynamic Programming , 2004 .

[51]  Gilberto Zamora,et al.  Dissertation for the degree of Doctor of Philosophy , 2002 .

[52]  A. Gururajan.  Coarse segmentation of cervical and lumbar vertebrae using a customized version of the Generalized Hough Transform , 2003 .

[53]  Sunanda Mitra,et al.  Classification of Cervix Lesions Using Filter Bank-Based Texture Mode , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[54]  Ingemar J. Cox,et al.  The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments , 2000, IEEE Trans. Image Process..

[55]  Rodney Long,et al.  Image analysis techniques for characterizing disc space narrowing in cervical vertebrae interfaces. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[56]  James Ze Wang,et al.  Wavelets and Imaging Informatics: A Review of the Literature , 2001, J. Biomed. Informatics.

[57]  Hemant D. Tagare,et al.  Shape based retrieval in NHANES II , 2004, MULTIMEDIA '04.

[58]  P. Muneesawang,et al.  A neural network approach for learning image similarity in adaptive CBIR , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[59]  R. Joe Stanley,et al.  Image Analysis Techniques for the Automated Evaluation of Subaxial Subluxation in Cervical Spine X-ray Images , 2004, CBMS.

[60]  George R Thoma,et al.  Image informatics at a national research center. , 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[61]  William A. Barrett,et al.  Interactive live-wire boundary extraction , 1997, Medical Image Anal..

[62]  L. Rodney Long,et al.  Partial shape matching of spine X-ray shapes using dynamic programming , 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

[63]  B. J. Doherty,et al.  Morphologic Study of Lumbar Vertebral Osteophytes , 1998, Southern medical journal.

[64]  L. Mango,et al.  Design and methods of a population-based natural history study of cervical neoplasia in a rural province of Costa Rica: the Guanacaste Project. , 1997, Revista panamericana de salud publica = Pan American journal of public health.

[65]  Mark Schiffman,et al.  Visual appearance of the uterine cervix: correlation with human papillomavirus detection and type. , 2007, American journal of obstetrics and gynecology.

[66]  Sameer Antani,et al.  Medical validation and CBIR of spine x-ray images over the Internet , 2006, Electronic Imaging.

[67]  Sameer Antani,et al.  Biomedical information from a national collection of spine x-rays: film to content-based retrieval , 2003, SPIE Medical Imaging.

[68]  Ramesh C. Jain,et al.  A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video , 2002, Pattern Recognit..

[69]  Lewis E. Berman,et al.  Digital atlas for spinal x rays , 1997, Medical Imaging.

[70]  Benjamin M Howe.  Segmentation of cervical and lumbar vertebrae in x-ray images using active appearance models and extensions , 2003 .

[71]  Sameer Antani,et al.  Design and evaluation of a curve matching-based spine x-ray image retrieval system , 2005, SPIE Medical Imaging.

[72]  Leif Neve,et al.  WebMIRS: web-based medical information retrieval system , 1997, Electronic Imaging.

[73]  I Macnab,et al.  The traction spur. An indicator of segmental instability. , 1971, The Journal of bone and joint surgery. American volume.

[74]  Song Mao,et al.  Design of a Digital Library for Early 20th Century Medico-legal Documents , 2006, ECDL.

[75]  Zhong Jin,et al.  Integrated probability function and its application to content-based image retrieval by relevance feedback , 2003, Pattern Recognit..

[76]  Song Mao,et al.  AUTOMATED METADATA EXTRACTION TO PRESERVE THE DIGITAL CONTENTS OF BIOMEDICAL COLLECTIONS , 2005 .

[77]  Djemel Ziou,et al.  Learning from negative example in relevance feedback for content-based image retrieval , 2002, Object recognition supported by user interaction for service robots.

[78]  Jayaram K. Udupa,et al.  Methodology for evaluating image-segmentation algorithms , 2002, SPIE Medical Imaging.

[79]  Hemant D. Tagare,et al.  Optimal Embedding for Shape Indexing in Medical Image Databases , 2005, MICCAI.

[80]  Michael J. Ackerman,et al.  Toward a Common Validation Methodology for Segmentation and Registration Algorithms , 2000, MICCAI.

[81]  Zhongfei Zhang,et al.  Automatic Medical Image Annotation and Retrieval Using SECC , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[82]  Thomas G. Dietterich,et al.  Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..

[83]  Dana H. Ballard,et al.  Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..