Current Bibliographies in Medicine | |
Table of Contents Series Note Sample Citations Foreword Introduction Bibliography: References Author Index |
January 1987 through March 2007 May 2007 912 Citations Prepared by U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES National Library of
Medicine Series NoteEach bibliography in the Current Bibliographies in Medicine (CBM) series covers a distinct subject area of biomedicine and fulfills a current awareness function. Online databases and the Internet are the primary sources for citations in these bibliographies. Relevance to the subject is the only criterion for inclusion of works in a CBM; the format, ownership, or location of the material are not considered. Other publications in the Current Bibliographies in Medicine series are available through the Library's World Wide Web site at http://www.nlm.nih.gov/pubs/resources.html Comments and suggestions on this series may be addressed to: PubMed, LocatorPlus, and the NLM GatewayThe Library offers three interfaces to its databases; all are available on the World Wide Web. PubMed provides access primarily to the journal literature; LocatorPlus is an online catalog of the books, journal titles, and audiovisuals held by the Library; and the NLM Gateway serves as an entry point for a variety of databases and other Library products. Further information on PubMed, LocatorPlus, and the NLM Gateway may be found at http://www.nlm.nih.gov/. Sample CitationsCitations are formatted according to the rules established for Index Medicus*. Sample journal and monograph citations appear below. An availability statement follows many journal article citations. This statement contains an Internet hyperlink to the citation in the NLM PubMed retrieval system. The PubMed record includes an abstract for most articles and may also provide a link to the publisher's Internet site. Journal Article:
Shelton D, Stetten G, Aylward S, Ibanez L, Cois A, Stewart C. Teaching medical image analysis with the Insight Toolkit. Med Image Anal. 2005 Dec;9(6):605-11. Available from: PubMed; PMID 15948658 Monograph:Rifkin BA, Ackerman MJ, Folkenberg J. Human anatomy: depicting the body from the Renaissance to today. New York: Abrams; 2006. 343 p. * For details of the formats used for references, see the following publication: Citing medicine: the NLM style guide for authors, editors, and publishers, 2nd ed., 2007. Available from: http://www.nlm.nih.gov/citingmedicine |
The Visible Human Project was formulated in response to the National Library of Medicine (NLM) 1986 Long-Range Plan that challenged NLM staff to investigate the concept of an electronic image library. The Visible Human Data Sets are complete, anatomically detailed, three-dimensional data sets which allow the computer reconstruction of any part of the normal male and female bodies. The data sets consist of transverse CT, MRI, and cryosection images.
The Visible Human Data Sets may be used without charge, but a license with the NLM is required. In return for use of the data sets, the user must credit the NLM in any derived product and must send a copy of the product to the NLM. Many data set users display their products and research on their Web sites and have notified the Library of their availability. The NLM has created links to these user sites from its own Visible Human Project Web site at http://www.nlm.nih.gov/research/visible/visible_human.html. This provides an access point to applications, sources, products, tools, and mirror sites using images from the Visible Human Project. The Visible Human Project has become an open, community-based project. It is in this spirit that NLM created this Visible Human Project bibliography.
This bibliography includes and updates a previous edition made available in conjunction with the Third Visible Human Conference held in October 2000. It contains citations to the published literature that we have been able to identify through March 2007. Additionally, it includes citations from the Insight Toolkit (ITK), an open source, freely available, object-oriented software package for medical image processing, segmentation, and registration.
Conceived by the NLM and under its leadership, ITK was developed by a world-wide consortium of academic and industry partners to facilitate analysis of the Visible Human Project data sets. Methods in the toolkit are being applied to a wide variety of clinic data such as CT, MRI, ultrasound, PET, fluoroscopy, microscopy and other non-medical and industrial applications. These derivative applications are also included in this bibliography. This project was made possible by funding from NLM, National Institute of Dental and Craniofacial Research, National Institute of Mental Health, National Eye Institute, National Institute of Neurological Disorders and Stroke, National Institute on Deafness and Other Communication Disorders, National Science Foundation, National Cancer Institute, and the Telemedicine and Advanced Technology Research Center. Omissions and corrections as well as notification of new Visible Human Project related publications would be appreciated.
We would like to thank the over 2,500 Visible Human Data Set license holders in 42 countries who have added to the success of this Project. We would also like to thank our world-wide consortium of academic and industry partners who have contributed to the ongoing development and success of the Insight Toolkit (ITK).
The Visible Human Project has its roots in a 1986 long-range planning effort of the National Library of Medicine (NLM). It foresaw a coming era where NLM bibliographic and factual database services would be complemented by libraries of digital images, distributed over high speed computer networks and by high capacity physical media. Not surprisingly, it saw an increasing role for electronically represented images in clinical medicine and biomedical research. It encouraged the NLM to consider building and disseminating medical image libraries much the same way it acquires, indexes, and provides access to the biomedical literature. Early in 1989 under the direction of the Board of Regents, an ad hoc planning panel was convened and made the following recommendation: "NLM should undertake a first project building a digital image library of volumetric data representing a complete, normal adult male and female. This Visible Human Project will include digitized photographic images for cryosectioning, digital images derived from computerized tomography and digital magnetic resonance images of cadavers."
The initial aim of the Visible Human Project was to acquire transverse CT, MRI, and cryosection images of a representative male and female cadaver at an average of one millimeter intervals. The Visible Human Male data set consists of MRI, CT, and anatomical images. Axial MRI images of the head and neck and longitudinal sections of the rest of the body were obtained at 4 mm intervals. The CT data consists of axial CT scans of the entire body taken at 1 mm intervals. The anatomical cross-sections are at 1 mm intervals to coincide with the CT axial images. There are 1871 cross-sections for each mode. The complete male data set, 15 gigabytes in size, was made available in November 1994. In August 2000 higher resolution axial anatomical images from the male data set were made available.
The Visible Human Female data set, released in November 1995, has the same characteristics as The Visible Human Male with one exception. Its axial anatomical images were obtained at 0.33 mm intervals instead of 1.0 mm intervals. This resulted in 5,189 anatomical images and a data set of about 40 gigabytes. For more information on the Visible Human Project, see the Web site at http://www.nlm.nih.gov/research/visible/.
This bibliography includes and updates a previous edition made available in conjunction with the Third Visible Human Conference held in October 2000. It contains citations to the published literature that we have been able to identify through March 2007. Additionally, it includes citations from the Insight Segmentation and Registration Toolkit (ITK), an open source, freely available, object-oriented software package for medical image processing, segmentation, and registration. Funded by the National Library of Medicine, ITK was developed by a world-wide consortium of academic and industry partners to facilitate analysis of the Visible Human data sets. Methods in the toolkit are applicable to a wide variety of clinic data such as CT, MRI, ultrasound, PET, fluoroscopy, microscopy and other non-medical and industrial applications. These derivative applications are also included in this bibliography. ITK was released for world-wide distribution in October 2002. Omissions and corrections as well as notification of new Visible Human Project related publications would be appreciated.
This bibliography contains citations to journal articles, books and book chapters, conference papers and meeting abstracts, and audiovisuals located from a search of a variety of online databases as well as the Internet. The arrangement of the bibliography is alphabetical by first author. An Author Index provides access to the publications of all authors by citation numbers.
The compilers wish to thank the staff of the Visible Human Project office for their very valuable assistance.
This publication is not copyrighted and may be freely reproduced. However any reproductions of this bibliography, in whole or in part, should include all credits. If you wish to cite this bibliography, the correct format is:
Burke, Cynthia; Patrias, Karen, compilers. Visible Human Project [bibliography on the Internet]. Bethesda (MD): National Library of Medicine (US); 2007 May [cited YYYY MMM DD]. (Current bibliographies in medicine; 2007-1). 912 citations from January 1987 through March 2007. Available from: http://www.nlm.nih.gov/pubs/cbm/visiblehuman2007.html
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2. Ackerman MJ. Accessing the Visible Human Project. D Lib Mag [Internet] 1995 Oct [modified 2000 Feb 14; cited 2000 Aug 2]:[3 p.]. Available from: http://www.dlib.org/dlib/october95/10ackerman.html
3. Ackerman MJ. Afterword: Anatomy in the digital age. In: Rifkin BA. Human anatomy: five centuries of art and science. New York: Abrams; 2006. p. 319-30.
4. Ackerman MJ. Build for future technology when building for the future: a lesson from the visible human project [editorial]. J Am Med Inform Assoc. 1996 Jul-Aug;3(4):300-1. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=96413138&dopt=Abstract
5. Ackerman MJ. Dissemination of medical information. In: IMAC 89. 1st International Conference on Image Management and Communication in Patient Care. Piscataway (NJ): IEEE; 1989. p. 86-9.
6. Ackerman MJ. Multimedia medical education projects at the National Library of Medicine. In: Broering NC, editor. High-performance medical libraries: advances in information management for the virtual era. Westport (CT): Meckler; 1993.
7. Ackerman MJ. The Visible Human Project. Am J Phys Anthropol. 1993;Suppl 16:46. Presented at the 62nd Annual Meeting of the American Association of Physical Anthropologists.
8. Ackerman MJ. The Visible Human Project. J Biocommun. 1991;18(2):14. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=91340667&dopt=Abstract
9. Ackerman MJ. Visible Human Project. Paper presented at: 160th Meeting of the American Association for the Advancement of Science; 1994 Feb 18-23; San Francisco, CA.
10. Ackerman MJ. The Visible Human Project. Proc IEEE. 1998 Mar;86(3):504-11.
11. Ackerman MJ. The Visible Human Project: a resource for anatomical visualization. Medinfo. 1998;9(Pt 2):1030-2. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=99312610&dopt=Abstract
12. Ackerman MJ. The Visible Human Project: a resource for anatomical visualization. In: Eck V, Krekule I, editors. Information technology applications in biomedicine. ITAB '97: Proceedings of the IEEE Engineering in Medicine and Biology Society Region 8 International Conference; 1997 Sep 7-9; Prague. New York: IEEE; 1997. p. 29-31.
13. Ackerman MJ. The Visible Human Project: a resource for education. Acad Med. 1999 Jun;74(6):667-70. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=99313872&dopt=Abstract
14. Ackerman MJ. The visible human project moves from data to knowledge. Lekar Tech. 2002;33(1):4-8 .
15. Ackerman MJ. The Visible Human Project of the National Library of Medicine. In: Degoulet P, Piemme TE, Rienhoff O, editors. MEDINFO 92. Proceedings of the 7th World Congress on Medical Informatics; 1992 Sep 6-10; Geneva, Switzerland. Amsterdam: North-Holland; 1992. p. 366-70.
16. Ackerman MJ. Visible Human Project of the National Library of Medicine: Remote access and distribution of a multi-gigabyte data set. In: Goddard Conference on Mass Storage Systems and Technologies; 1993; Goddard Space Flight Center, Greenbelt, MD. Washington: National Aeronautics and Space Administration (US); 1993. p. 87-8. (NASA publication; N93-30453/3).
17. Ackerman MJ, Banvard RA. Imaging outcomes from The National Library of Medicine's Visible Human Project((R)). Comput Med Imaging Graph. 2000 May-Jun;24(3):125-6. Comment on: Comput Med Imaging Graph. 2000 May-Jun;24(3):127-32; Comput Med Imaging Graph. 2000 May-Jun;24(3):133-51; Comput Med Imaging Graph. 2000 May-Jun;24(3):153-64; Comput Med Imaging Graph. 2000 May-Jun;24(3):165-71. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=20298541&dopt=Abstract
18. Ackerman MJ, Masys DR. Three-dimensional imaging and the National Library of Medicine. In: NCGA '89. Proceedings of the 10th Annual Conference and Exposition Dedicated to Computer Graphics; 1989 Apr 17-20; Philadelphia. Fairfax (VA): National Computer Graphics Association; 1989.
19. Ackerman MJ, Spitzer VM, Scherzinger AL, Whitlock DG. The Visible Human data set: an image resource for anatomical visualization. Medinfo. 1995;8(Pt 2):1195-8. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=96174067&dopt=Abstract
20. Ackerman MJ, Yoo T, Jenkins D. From data to knowledge--the Visible Human Project continues. Medinfo. 2001;10(Pt 2):887-90. Also. Available from: http://lhncbc.nlm.nih.gov/lhc/docs/published/2001/pub2001021.pdf
21. Ackerman MJ, Yoo TS. The Visible Human data sets (VHD) and Insight Toolkit (ITk): experiments in open source software [poster]. AMIA Annu Symp Proc. 2003:773. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=14728278&dopt=Abstrac
22. Ackerman MJ, Yoo TS, Jenkins D. The Visible Human Project: from data to knowledge. In: Lemke HU, et al., editors. CARS 2000. Proceedings of the 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery; 2000 Jun 28-Jul 1; San Francisco. New York: Elsevier Science; 2000. p. 11-6.
23. Acosta E, Temkin B, Griswold JA, Deeb SA, Haluck RS. Haptic texture generation - a heuristic method for virtual body structures. In: CMBS'01. Proceedings of the IEEE Symposium on Computer-Based Medical Systems; 2001 Jul 26-27; Bethesda, MD. Piscataway (NJ): IEEE; 2001. p. 395-9. DOI: 10.1109/CBMS.2001.941752.
24. Acosta E, Temkin B, Krummel TM, Heinrichs WL. G2H--graphics-to-haptic virtual environment development tool for PC's. Stud Health Technol Inform. 2000;70:1-3. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10977518&dopt=Abstrac
25. Adam JA. Medical electronics. IEEE Spectrum. 1995 Jan;32(1):80-3.
26. Ade A, Meixner W, Athey B. The Visible Human Female World Wide Web browser. In: Banvard RA, Pinciroli F, Cerveri P, editors. 2nd Visible Human Project Conference Proceedings; 1998 Oct 1-2; Bethesda, MD [CD-ROM]. Bethesda (MD): National Library of Medicine (US), Office of High Performance Computing and Communications; 1998. 1 CD-ROM: color. Available from: http://www.nlm.nih.gov/research/visible/vhpconf98/MAIN.HTM
27. Ajioka M. [Outline of VOXEL-MAN: an interactive 3-D atlas for teaching and studying anatomy, radiology and surgery]. Online Kensaku. 1995;16(3):116-9. Japanese.
28. Al-Bataineh OM, Collins CM, Park EJ, Lee H, Smith NB. MR thermometry characterization of a hyperthermia ultrasound array designed using the k-space computational method. Biomed Eng Online. 2006 Oct 25;5:56. DOI: 10.1186/1475-925X-5-56. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17064421&dopt=Abstrac
29. Aldridge JS, Reckwerdt PJ, Mackie TR. A proposal for a standard electronic anthropomorphic phantom for radiotherapy. Med Phys. 1999 Sep;26(9):1901-3. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=99433698&dopt=Abstract
30. Aldur MM. Creating computer aided 3D model of spleen and kidney based on Visible Human Project. Saudi Med J. 2005 Jan;26(1):51-6. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=15756353&dopt=Abstrac
31. Alexander D, Pierpaoli C, Basser PJ, Gee JC. An algorithm for preservation of orientation during non-rigid warps of diffusion tensor magnetic resonance (DT-MR) images [abstract]. In: Proceedings of the 9th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine; 2001 Apr 21-27; Scottish Exhibition & Conference Centre, Glasgow, Scotland [Internet]. Berkeley (CA): International Society for Magnetic Resonance in Medicine; 2001 [cited 2007 Apr 5]. p. 791. Available from: http://cds.ismrm.org/ismrm-2001/PDF3/0791.pdf
32. Alexander D, Pierpaoli C, Basser PJ, Gee JC. Spatial transformations of diffusion tensor magnetic resonance images. IEEE Trans Med Imaging. 2001 Nov;20(11):1131-9.
33. Alghamdi AA, Ma A, Marouli M, Albarakati Y, Kacperek A, Spyrou NM. A high-resolution anthropomorphic voxel-based tomographic phantom for proton therapy of the eye. Phys Med Biol. 2007 Jan 21;52(2):N51-9. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17202616&dopt=Abstract
34. Allin S, Galeotti J, Stetten G, Dailey SH. Enhanced snake based segmentation of vocal folds. In: From macro to nano [Internet]. 2004 2nd IEEE International Symposium on Biomedical Imaging ; 2004 Apr 15-18; Arlington, VA. Piscataway (NJ): IEEE; 2004 [cited 2007 Mar 2]. p. 812-5. DOI: 10.1109/ISBI.2004.1398662. Available from: http://www.ri.cmu.edu/pub_files/pub4/allin_sonya_2004_1/allin_sonya_2004_1.pdf
35. Amirrezvani A. Body Voyage (Time Warner Electronic Publishing). Comput Life. 1997 Jun;4(6):110.
36. Anderson PD. Human anatomy and physiology coloring workbook and study guide: with images from the National Library of Medicine's Visible Human Project. 2nd ed. Boston: Jones and Bartlett; 1997. 287 p.
37. Anderson RH, Cook AC. Visible human projects special issue. Clin Anat. 2006 Nov;19(8):776. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16944499&dopt=Abstract
38. Andorfer GP. Inside out: The Visible Human exhibit at Baltimore's Maryland Science Center. In: Banvard RA, Pinciroli F, Cerveri P, editors. 2nd Visible Human Project Conference Proceedings; 1998 Oct 1-2; Bethesda, MD [CD-ROM]. Bethesda (MD): National Library of Medicine (US), Office of High Performance Computing and Communications; 1998. 1 CD-ROM: color. Available from: http://www.nlm.nih.gov/research/visible/vhpconf98/MAIN.HTM
39. Angelini ED, Imielinska C, Jin Y, Laine A. Improving statistics for hybrid segmentation of high-resolution multichannel images. Proc SPIE. 2002 ;4684:401-11. DOI: 10.1117/12.467182.
40. Ann Heng P. Research and applications of virtual medicine. Conf Proc IEEE Eng Med Biol Soc. 2005;4:4160-3. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17281150&dopt=Abstract
41. Arsigny V, Pennec X, Ayache N. Polyrigid and polyaffine transformations: a novel geometrical tool to deal with non-rigid deformations - application to the registration of histological slices. Med Image Anal. 2005 Dec;9(6):507-23. DOI: 10.1016/j.media.2005.04.001. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=15948656&dopt=Abstrac
42. Athey BD, Warner AJ, Laby JC, Meixner WM, Chung J, Williams JP, Ketty PV. Using the Visible Human as an image database locator. In: Banvard RA, editor. The Visible Human Project Conference Proceedings; 1996 Oct 7-8; Bethesda, MD [CD-ROM]. Bethesda (MD): National Library of Medicine (US), Office of High Performance Computing and Communications; 1996. 1 CD-ROM: color, 4 3/4 in. Available from: http://www.nlm.nih.gov/research/visible/vhp_conf/vhpconf.htm
43. Augustine K, Holmes D 3rd, Robb R. ITK and ANALYZE: a synergistic integration. Proc SPIE. 2004 ;5367:6-15. DOI: 10.1117/12.533484.
44. Avants B, Siqueira M, Gee JC. Computing match functions for curves in R2 and R3 by refining polyline approximations. Lect Notes Comput Sci. 2001;2208:1178-9.
45. Avants BB, Gee JC. Soft parametric curve matching in scale-space. Proc SPIE. 2002 May;4684:1139-50. DOI: 10.1117/12.467071.
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Farman AG: 321, 331, 426, 572, 615
Farre J: 227
Fasel J: 74, 265
Fasel JH: 228
Fasquel JB: 229, 230
Fedkiw R: 754
Fedra P: 231
Feeley J: 232
Feng J: 456
Fernandez JW: 233, 234, 235
Fichtinger G: 84
Figueiredo O: 236, 301, 501, 750, 800
Finni T: 306
Firat Z: 283
Fischer G: 564
Fischl B: 237
Fisher I: 78
Fletcher A: 238, 425
Floca R: 197
Fogg QA: 464
Fogler RJ: 239
Folkenberg J: 604
Foskey M: 283
Fox EA: 541
Fox G: 240
Fraile JC: 268
Frake B: 383, 384
Frattini B: 822, 823
Frech R: 637
Freudenberg J: 241, 656
Frey KA: 503
Freysinger W: 497
Friedman C: 140
Friedman R: 242
Frimberger D: 486
Fritsch DS: 243
Fritscher KD: 244
Fugita O: 486
Fuller SS: 140
Furmanski W: 240
Gagnon CA: 245
Gagvani N: 246
Gailloud P: 228
Galeotti J: 34
Galli RL: 741
Galloway RL Jr: 247
Gao J: 143, 400
Gao S: 438, 457
Gao Y: 885
Gardner RM: 786
Garges KJ: 108
Garner BA: 248, 249, 250, 430, 431
Garrett WE Jr: 117
Gasos J: 251
Gatti AJ: 252
Gee J: 338
Gee JC: 31, 32, 44, 45, 128, 253, 254, 536, 537, 561, 562, 563, 886
Geets X: 210
Gehrmann S: 255, 315, 576
Gelber PE: 256
Gennart B: 257, 301, 501, 750, 800
Genser-Strobl B: 712
Ger R: 258
Gerig G: 886
Gering DT: 521, 522
Gerlach S: 223, 259, 260, 261, 649, 650
Gersak B: 772, 773, 774
Gershon D: 262
Geveci B: 666
Gigis I: 527
Gilbertson B: 49
Gill M: 534
Gimenez JT: 263
Gingins P: 74, 228, 264, 265, 485
Ginon B: 65
Glaser C: 92
Glaser J: 594
Goel VK: 196
Goes VP: 266
Goldstein M: 836
Golland P: 267
Gonzalez L: 268
Gopakamaran B: 269
Gordon DL: 350
Gordon MS: 350
Gori R: 651
Graham RS: 270, 734
Gratzl M: 109
Green WD: 90
Greenshields I: 380
Greenshields IR: 177, 178, 271, 272, 273, 274, 275, 872
Greer H: 647
Gregoire V: 210
Greil G: 858
Grevera GJ: 779
Griffiths DJ: 270
Griffiths HJ: 472
Grill R: 769
Grimson E: 101
Grimson WE: 267
Grinspan ZM: 276
Griswold JA: 23
Groden C: 98
Groehn MT: 222
Groller E: 54, 665
Groning F: 98
Groscurth P: 57, 743
Gross MH: 397, 398, 628
Grossetie JC: 578
Grosskopf S: 513
Grossman D: 632, 633
Gruionu L: 486
Grunwald T: 277
Guddati M: 524
Guglielmi L: 278, 279, 572
Gugliemli L: 573
Gui Y: 841
Gunke A: 497
Gunther T: 661
Guo Q: 269
Guo TC: 280
Guo WW: 280
Guo Y: 434
Guo YL: 281, 436, 893, 894
Gupta AA: 464
Gupta V: 282
Guyon JP: 283
Ha Y: 623
Hack GD: 284, 285
Hacker S: 111
Haffejee AA: 654
Hagen H: 553, 761
Hahn J: 476
Hall M: 477
Halle M: 267, 570
Haller J: 349
Haller JW: 793
Haller U: 57
Hallner B: 464
Haluck RS: 23
Hamarneh G: 286
Hamm B: 73
Hamza-Lup F: 623
Hamza MH: 738
Han DM: 437
Han JH: 389
Handels H: 219
Haneke K: 283
Hansen C: 553
Hanser F: 564
Hanson DP: 287, 617
Har DH: 549
Hart IR: 350
Hartz J: 288
Harzmann R: 289
Hashimoto J: 442
Hashtrudi-Zaad K: 1
Hastenteufel M: 858, 859, 860
Hatfield P: 751
Haugh R: 290
Hawick KA: 291
Hawkes DJ: 218
Hawkins D: 64
Haynor D: 128, 129
Hazlett HC: 886
He H: 898
He HG: 900
He T: 328
Heath JA: 597, 598
Hegron G: 485
Heiland M: 292
Heinonen T: 293, 335, 370
Heinrich C: 535
Heinrichs WL: 24, 192, 294, 295, 730
Heinz Hohne K: 587
Heinz K: 575
Heitz F: 535
Hellebust TP: 181, 182
Henderson E: 296, 674, 737, 910
Heng PA: 281, 297, 298, 299, 435, 589, 867, 891, 892, 893, 894, 895
Heraty K: 300
Herbener T: 187
Hersch RD: 72, 223, 236, 257, 259, 260, 261, 301, 501, 649, 650, 750, 800
Hersch WR: 302
Hersh W: 140
Heshka S: 694
Heskamp D: 846
Hesser J: 661
Heungsik K: 358
Hewitt A: 303
Heymsfield SB: 694
Higgins G: 304
Higgins GA: 305, 496, 499
Hilbelink DR: 166
Hildebrand A: 513
Hill DL: 218
Hillen B: 594
Hinshaw KP: 100, 626
Hintermueller C: 564
Ho A: 233
Ho S: 886
Ho SS: 867
Hoch M: 65
Hockel M: 220
Hodgson JA: 306
Hoehne KH: 483, 657, 669
Hoffman EA: 186, 196
Hoffman H: 307, 308, 309, 310
Hoffman HM: 311, 312, 313
Hoffman W: 664
Hoffmeyer P: 485
Hogge M: 799
Hohne KH: 92, 111, 241, 255, 292, 314, 315, 316, 317, 318, 319, 478, 565, 566, 567, 575, 576, 577, 656, 658, 659, 660, 662, 670, 671, 672, 733, 744, 761, 762, 896, 902, 903
Holden AV: 678
Holden C: 320
Hollaender I: 321
Holland R: 239
Holmes A: 322
Holmes D 3rd: 43
Holmes DR 3rd: 323
Hombach V: 164
Hong B: 438, 457
Hong F: 742
Hong HW: 885
Hong L: 324, 325, 326, 327, 328
Hong SH: 366
Hoogendijk CF: 329
Hooper G: 333
Hoper C: 678
Hopkins MA: 591
Hopmeier M: 304
Horn LC: 220
Horowitz CJ: 766
Hosakere S: 341
Hoyte L: 330
Hua XC: 476
Huang J: 400
Huang LW: 911
Huang QM: 179
Huang WH: 225, 885
Hubener KH: 662
Hubner M: 331
Huda W: 856
Hudson DL: 197, 456, 583, 602, 632, 784, 873, 903
Hug J: 57, 743
Hug JM: 710
Hughes TJ: 332
Huilong D: 156, 456
Huisman HJ: 787
Humphrey ER: 776
Humphreys BL: 451, 452, 453
Humphries S: 217
Hunter P: 401
Hunter PJ: 233, 234, 235, 602, 696, 792
Hunter RE: 117
Huntley JS: 333
Hutchens K: 133
Hutteroth TH: 111
Hwang IK: 391
Hwang SB: 549, 550
Hwang SI: 366
Hwang WS: 155, 390
Hyodynmaa S: 584
Hyttinen J: 334, 335, 336, 370, 371, 372, 373, 583, 784
Hyttinen JA: 374, 375
Ibanez L: 131, 158, 337, 338, 481, 529, 667, 693
Ihm I: 54, 55, 551
Ilovici I: 339
Imelinska C: 340
Imielinska C: 39, 66, 341, 342, 343, 344, 345, 346, 347, 361, 381, 406, 509, 623, 702, 779, 795, 796, 797, 826, 827, 828
Inamura K: 321, 331, 426, 572, 615, 661
Inanc F: 348
Indelicato DJ: 412
Insung I: 745
Irwin A: 307, 309
Irwin AE: 313
Ishimaru T: 349
Issenberg SB: 350
Ito Y: 351
Jacko JA: 727
Jacob SW: 352, 353
Jacobs SW: 354
Jagadeesh JM: 269
Jagannathan L: 884
Jager GJ: 787
Jakobovits R: 626
Jamoye V: 799
Jan J: 231
Jastrow H: 355, 356
Jegou Ch: 357
Jenkins D: 20, 22, 304
Jenkins DP: 594
Jeong DK: 366
Jeongho L: 358
Jia C: 211, 359
Jian W: 360
Jiao PF: 225, 885
Jin Y: 39, 346, 779
JinY: 361
Jiroutek MR: 568
Johann DJ: 362
Johnson C: 304, 516
Johnson DL: 159
Johnson JH: 733, 735
Johnson S: 826
Johnson TB: 599
Jolesz FA: 521, 522, 620
Jomier J: 46
Jones FS: 363, 364
Jones GM: 122
Jones SB: 653
Joshi S: 791
Juanes JA: 365
Junior CS: 185
Jurcic-Zlobec B: 393
Jurek P: 699
Kacher DF: 521, 522, 620
Kacperek A: 33
Kahn JL: 157
Kalitzin S: 753
Kalra P: 74, 228, 264, 265, 485
Kang HS: 366, 389, 424
Kangarloo H: 648
Karl TR: 367
Karron DB: 368
Karssemeijer N: 787
Karwoski RA: 287
Kaspersen JH: 481
Katchar V: 739
Kato Y: 538
Katz WT: 369
Kaufman A: 324, 325, 326, 327, 328, 439, 746, 747
Kaufman AE.: 149, 150
Kaufman R: 476
Kaukinen S: 373
Kauppinen P: 293, 334, 335, 336, 370, 371, 372, 373, 583, 784
Kauppinen PK: 374, 375
Kavoussi L: 486
Kay PA: 376, 377, 378
Keevil SF: 552
Kelley LK: 491
Kelly DR: 776
Kelly EA: 491
Kelly H: 304
Kember S: 379
Kempf JF: 157
Kennedy BM: 68
Kerasha MA: 380
Kerner J: 78
Kerner KF: 381
Kerr J: 102, 103, 104, 382, 590, 684
Kerr JP: 284, 285, 383, 384, 385, 394
Keshvari J: 804
Ketty PV: 42
Keyun T: 874
Khan A: 341
Khaneja N: 386
Kiernan V: 387
Kikinis R: 84, 267, 478, 497, 521, 522, 569, 570, 620, 733, 798
Kilcoyne RF: 388
Kim B: 389, 503
Kim BH: 366
Kim D: 389, 424
Kim J: 283
Kim JH: 424
Kim JW: 389
Kim JY: 155, 390
Kim KJ: 391
Kim YH: 366
King BF: 377, 378
King SA: 392
Kiricuta I: 585
Kiricuta IC: 586
Kirov M: 591
Kison PV: 503
Kita Y: 517, 518
Klavans J: 509, 827, 828
Klemencic J: 393
Kluenkaew O: 909
Knapp D: 383, 384, 385, 394, 684
Kniss JM: 395
Kobayashi N: 396
Koch RM: 397, 398
Koebke J: 527
Koh W: 399
Kohl JA: 400
Kohl P: 401
Kohn D: 402
Konkka I: 403
Koo G: 54, 551
Koobi T: 336, 373
Kooijman H: 73
Koral K: 503
Korn F: 539
Kornhaber ML: 830
Kostka P: 474
Kouchoukos P: 699
Kouchoukos PL: 698
Kovacic S: 537, 621
Kozumplik J: 231
Krabbel G: 404
Kral F: 497
Kramer E L: 584
Krekule I: 12
Kriebel TL: 691
Krier J: 157
Krokos M: 204
Krol M: 275
Kroll A: 98
Krummel T: 277
Krummel TM: 24, 730
Kruse KL: 524
Kucinski T: 429
Kuettner A: 858
Kuhnapfel UG: 331
Kunert T: 87, 859, 860
Kuntz C: 490
Kupczik K: 98
Kuska JP: 220
Kustov V: 506, 507
Laarne P: 335, 371
Laby JC: 42
Lackey JB: 405
Lagandara ML: 365
Lai AM: 306
Laine A: 39, 361
Laino-Pepper L: 66, 344, 345, 406, 509
Lalush DS: 681, 682
Lamberg L: 407, 408
Lamberti C: 651
Lamy J: 230, 409
Landauer C: 312
Lande RE: 410
Lane A: 411
Lange T: 412
Lapeer RJ: 183, 413
Lapp RM: 414
Lappalainen R: 804
Larsen RL: 415
Larson AG: 287
Lau C: 754
Lau PY: 416
Laugier C: 417
Laville M: 823
Law C: 418
Law CC: 419
Lawrence S: 579
Lawrence SP: 646
Lazaroff M: 420
Le H: 421, 422
Leardini A: 801
LeBlanc VR: 779
Lederer SE: 423
Lee C: 595, 596
Lee D: 389
Lee DJ: 275
Lee H: 28
Lee J: 424
Lee JW: 424
Lee TM: 909
Lee TY: 425
Lee WY: 834
Lee YN: 467
Lee YS: 549
Lei J: 694
Leiman DA: 425
Leineweber T: 111
Leiss EL: 441
Leitao RB: 266
Leitch R: 304
Lemke HU: 22, 315, 321, 331, 388, 426, 572, 615, 661
Leonard WR: 427
Leung KS: 297
Leuwer R: 428, 429, 565, 576
Levine D: 430
Levine DA: 431
Lew D: 196, 349
Lewis M: 294
Li G: 898
Li HX: 432
Li JY: 225, 885
Li K: 281, 434, 436, 588, 749, 893, 894
Li L: 433
Li M: 742
Li PJ: 225
Li PL: 885
Li Q: 434
Li QY: 281, 435, 436, 588, 749, 893, 894
Li SR: 141
Li XA: 885
Li XP: 437
Li Y: 438, 457
Liang Z: 149, 150, 325, 326, 327
Liang ZP: 197, 456, 583, 602, 632, 784, 873, 903
Liao RX: 893, 894
Lichan H: 439
Liebich HG: 92
Liebig T: 429
Lin AS: 440
Lin CY: 441
Lin HT: 442
Lin KN: 53
Lin WC: 152
Lin WT: 443, 444
Lin ZF: 435
Lind BK: 585, 586
Lindberg DA: 445, 446, 447, 448, 449, 450, 451, 452, 453, 454
Linhart W: 255
Liotta LA: 362
Lithgow B: 403
Liu AV: 455
Liu C: 885
Liu GC: 152
Liu GJ: 893, 894
Liu H: 903
Liu HJ: 897
Liu J: 456
Liu JJ: 893, 894
Liu K: 438, 457
Liu L: 186
Liu YX: 433
Liu Z: 434
Liu ZJ: 281, 435, 436, 588, 749, 891, 892, 893, 894, 895
Livnat Y: 553
Loffelmann H: 54
Loftin RB: 441
Loke E: 467
Loncaric S: 738
Long L: 493
Long LR: 458, 757, 758
Long R: 362, 505, 591
Lopes RD: 266
Lopes TT: 185
Lopez-Cano M: 459
Lorensen B: 198, 460, 461, 663
Lorensen W: 304
Lorensen WE: 462, 668, 880
Lorenzo-Valdes M: 414
Lothe AV: 463
Louis RG Jr: 464
Loukas M: 464
Lowndes M: 465
Lozanoff S: 203, 712
Lu K: 900
Lu M: 893, 894
Lu W: 211, 359
Lu YT: 885
Luebbers R: 466
Lun KC: 467
Lynch PJ: 468
Ma A: 33
Macfarlane LL: 272, 274
Machado LS: 266
Mackie TR: 29
Macq B: 210
Magnenat-Thalmann N: 228, 392, 485
Maguire GQ Jr: 584
Mahalik TJ: 599
Mahinthakumar G: 524
Mahoney DP: 469, 470, 471
Maier H: 429
Maierl J: 91, 92
Main J: 764, 766
Main JS: 767, 768
Maintz T: 753
Maki DD: 472
Malafa M: 473
Malaterre M: 665, 666
Malkewitz R: 513
Malmivuo J: 293, 334, 335, 336, 370, 371, 372, 373, 583, 784
Malmivuo JA: 374, 375
Malota Z: 474
Malvankar A: 475, 752
Mamisch CT: 522
Mandarich D: 739
Manestar M: 57, 743
Manner R: 661
Mantello G: 785
Manyak MJ: 476
Maranillo E: 794
Marchionini G: 541
Mardirossian G: 477
Marouli M: 33
Marquez J: 478, 479, 480
Martin C: 799
Martin DP: 82
Martin-Fernandez MA: 700
Martin G: 623
Martin K: 481
Martin KM: 419, 667, 668
Martinez G: 801
Marucci L: 785
Marx B: 164
Masseroli M: 88, 89, 124
Mast TD: 482
Masutani Y: 483
Masys DR: 18, 484
Mather R: 294
Matsuda S: 396
Mattiucci GC: 785
Maurel W: 74, 485
Mavor AS: 213
Max M: 325
Mazilu D: 486
Mazzariol M: 301, 487
Mbua E: 98
McAllister M: 486
McCallum SJ: 488
McClanahan T: 215
McCormick BH: 399
McCracken T: 167, 313, 489, 490
McEnery KW: 491
McGuigan MD: 362
McIntire LV: 108
McKenzie JC: 48
McLennan G: 186
McLoughlin RF: 148
McNamee D: 492
Meadows S: 493
Meglan DA: 305, 496, 499
Mehrle AH: 497
Mei J: 742
Meinzer HP: 87, 858, 859, 860
Meixner W: 26
Meixner WM: 42
Mejino JL: 626
Mendoza C: 417
Menegoni F: 88, 89, 498
Mercenier J: 799
Merrell RC: 652
Merril GL: 305, 496, 499
Merril JR: 305, 496
Mertz H: 675
Messerli V: 301, 500, 501, 750, 800
Metaxas D: 144, 304, 346, 502, 880
Metaxas DN: 882
Metzner R: 197
Meyer CR: 503
Meyer-Waarden C: 512
Meyer-Waarden K: 639, 640, 641, 642, 643
Michaels G: 206
Mikulis D: 422
Mille P: 157
Miller J: 846
Miller MI: 791
Miller RA: 484
Mims CA: 504
Miranda R: 489
Mischke C: 635
Mithraratne P: 235
Mitra S: 275, 493, 505, 506, 507, 759
Miura Y: 202
Mizerski J: 474
Mkandawire C: 508
Mocnik J: 773, 774
Modayur BR: 626
Modre-Osprian R: 564
Molholt P: 66, 344, 347, 509, 702, 779, 795, 796, 797, 826, 827, 828
Mondry A: 912
Mones-Hattal B: 328
Monllau JC: 256
Monroe JS: 322
Montebello J: 477
Montgomery K: 192
Monzon JE: 158, 896
Moorhead R: 516
Moorhead RJ: 400, 649
Morgan KS: 847
Mori K: 770
Morin A: 823
Morioka C: 648
Morris CJ: 216
Morris JF: 465
Morse B: 883
Mosby-Year Book: 510
Moschos G: 511
Mosges R: 101
Moyssakis I: 548
Muehlthaler H: 564
Mueller M: 639, 640
Muffly KE: 166
Muffoletto AJ: 108
Muller KE: 568
Muller M: 512
Muller R: 404
Muller W: 513
Mullick R: 153, 514, 515
Mun Y: 364
Munro NB: 844
Munzner T: 516
Muraki S: 328, 439, 517, 518, 746, 747
Muri A: 519
Murillo J: 794
Murray M: 307, 308, 309, 312, 313
Musen MA: 632, 633
Muster M: 228
Muyshondt R: 505
Myers RP: 377, 378
Myers TW: 520
Nabavi A: 521, 522
Nachbar MS: 591
Nagy F: 532, 533
Naidoo ML: 654
Naisbitt J: 523
Naisbitt N: 523
Nakahashi K: 351
Nakai T: 517, 518
Nakamura M: 538
Nakamura Y: 442
Namati E: 186
Narasimhan C: 524
Nathan NS: 798
National Library of Medicine (US), Board of Regents: 525, 526
Natsis K: 527
Nauss LA: 82
Navab N: 158
Nawrat Z: 474
Neidhardt JP: 823
Netter FH: 528
Neuman M: 374
Ng H: 702
Ng L: 128, 338, 529
Ng-Thow-Hing V: 754
Nguyen BH: 496
Nguyen C: 530
Nguyen HT: 153, 514, 515
Nguyen KG: 531
Nicolas V: 73
Nieder G: 532
Nieder GL: 533
Niederer P: 710
Nielson GM: 668
Nikolaidis N: 511
Nishinaga N: 534
Nixon MS: 905
Noble D: 401
Noblet V: 535
Nobuhara K: 442
Noe A: 206, 536, 537
Nogawa H: 534, 538
Noirard P: 578
Nolden M: 859, 860
Norfleet J: 623
Nori S: 785
North C: 539, 540, 541, 542
Nosske D: 560
Noster S: 315
Nowinski K: 474
Nowinski WL: 824, 884
Noz ME: 584
Nugen F: 332
Nuthmann J: 658
O’Bara R: 665
Oakes WJ: 776, 777, 778
Obaidat MS: 269
Oberlander EK: 270
Odutoye TA: 168
Ogden KM: 856
Oleksy WG: 543
Oliker A: 705, 706
Olsen DC: 544
Olsen DR: 181, 182
Olson RM: 652
Olson TR: 276
Onal E: 751
Ong A: 486
Oppenheimer P: 846
Ortega F: 546
Otton BJ: 65
Ou T: 156
Ouyang J: 885
Ovtscharoff W: 109
Oyen WJ: 787
Ozawa S: 416
Palacios-Camarero C: 700
Palazzari P: 121
Pallen M: 547
Pandy MG: 249, 250
Pang XL: 893, 894
Papadopoulos DP: 548
Parent RE: 392
Parish YI: 398
Park EJ: 28
Park HS: 390, 549, 550
Park JS: 155, 390, 549, 550, 780
Park KS: 424
Park S: 54, 55, 551
Park SM: 159
Parker-Jones C: 552
Parker S: 553
Parkin I: 794
Parry B: 554
Partab P: 556
Parthasarathy R: 159
Parthasarathy RN: 582
Pascucci V: 56
Pasley JN: 555
Patak A: 578
Pather N: 556
Patience T: 846
Patrias K: 557
Patriciu A: 158, 486
Pawlina W: 709
Pearlstein J: 232
Pebay PP: 665
Peitgen HO: 558
Pelster HL: 597, 598, 599
Pemmaraju S: 505
Peng L: 559
Peng LU: 874
Penley C: 120, 771
Pennec X: 41
Peran JR: 268
Pergolizzi RS: 522
Petersik A: 292, 566, 576
Petitjean N: 799
Petoussi-Henss N: 560, 887
Petricoin EF: 362
Pettey DJ: 561, 562, 563
Pfeifer B: 564
Pfister H: 516
Pflesser B: 255, 292, 315, 316, 317, 318, 428, 565, 566, 567, 575, 576, 577, 656, 671
Philips D: 523
Phillips BL: 568
Phillips PJ: 254
Pichon E: 569
Piemme TE: 15
Pieper S: 84, 570
Pierpaoli C: 31, 32
Piker C: 186
Pinciroli F: 26, 38, 61, 88, 89, 124, 125, 126, 127, 150, 165, 167, 191, 278, 279, 296, 345, 383, 406, 411, 421, 490, 498, 507, 509, 538, 551, 571, 572, 573, 574, 580, 609, 625, 641, 674, 689, 691, 734, 743, 786, 796, 800, 828, 840, 849, 871, 910
Pipan G: 773
Pipkin R: 759
Pitas I: 511
Pitto RP: 696
Piuri V: 280
Piven J: 886
Plaisant C: 540, 541, 542
Plotz W: 219
Poliwoda C: 661
Pommert A: 98, 255, 315, 316, 317, 318, 566, 575, 576, 577, 656, 669, 671
Poppl SJ: 219
Portoni L: 578
Pothen A: 294
Pouchard L: 198
Powis ME: 579
Pozzi EA: 574
Prager RW: 183, 413
Prakash EC: 580, 865, 908, 909
Prakhash EC: 866
Prasad P: 631
Prather CM: 83
Prats A: 365
Prayaga R: 307, 309
Pretorius E: 329
Priesmeyer K: 319, 656, 671
Prince L: 596
Principe JC: 158
Protin XM: 65
Provaznik I: 231
ProvaznÃk I: 231
PrÃncipe JC: 896
Puckett AD: 430
Pulat O: 582
Pullan AJ: 440, 792, 873
Punyanitya M: 694
Puurtinen M: 583, 784
Qatarneh SM: 584, 585, 586
Qin B: 902
Qin Y: 587
Qiu M: 434
Qiu MG: 281, 436, 588, 749, 893, 894
Qu Y: 589
Quackenbush D: 590
Qualter J: 591
Quattrone G: 88
Quigley C: 592
Quinlan N: 300
Radu J: 712
Raghavan R: 153, 515
Raghavan S: 243
Rajagopal G: 912
Raju R: 305, 496
Rakebrandt F: 798
Ramsaroop L: 654
Ranefall P: 760
Rangarajan A: 890
Raphel JK: 515
Raskin SP: 835
Rath AM: 593
Ratib O: 627
Ratiu P: 284, 285, 330, 382, 385, 590, 594, 620
Reategui I: 534
Reckwerdt PJ: 29
Reiber JHC: 426
Reina F: 256
Reinhardt JM: 186
Reinhart C: 661
Reinig K: 579, 595
Reinig KD: 217, 596, 597, 598, 599
Reiser M: 92
Research Systems, Inc.: 600, 601
Reynolds HM: 602
Rheingans P: 215, 216, 516, 883
Ribarsky W: 54
Richolt JA: 267
Richter E: 566, 577
Riegger-Krugh C: 603
Riemer M: 255, 315, 316, 317, 318, 566, 575, 577, 587, 656, 662, 669, 671, 744, 896, 903
Rienhoff O: 15, 798
Riesco JM: 365
Rifkin BA: 3, 604
Rizzolo LJ: 605, 845
Robb R: 43, 323
Robb RA: 79, 80, 81, 82, 83, 116, 287, 376, 377, 378, 443, 444, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 748
Robbs JV: 654
Robe PA: 799
Roberts JC: 222
Robinson C: 374
Roco MC: 618
Rodgers RP: 763
Rodgers RR: 765
Rodler FF: 619
Rodriguez A: 256
Rodriguez-Baeza A: 459
Rodriguez-Navarro J: 459
Rodt T: 620
Rogelj P: 621
Rojdestvenski I: 622
Rolland J: 381, 623
Romero J: 227
Romeuf D: 823
Rosen JM: 412
Rosetto ME: 785
Ross MD: 555, 624, 625
Rosse C: 99, 100, 626
Rosset A: 627
Roth SH: 628
Rothman M: 284
Rough AC: 629
Rowe PM: 630
Ru GS: 909
Ruan J: 631
Rubin DL: 632, 633
Rubinstein D: 217, 595, 596
Rubio JJ: 268
Rubio JM: 227
Rudin JL: 634
Rueckert D: 414
Rueger JM: 255
Ruiz-Alzola J: 700
Rush CG: 597, 598
Rushmeier H: 553, 761
Rushmeier HE: 665
Rutten W: 374
Rutzel S: 635
Ryman JC: 842
Rystrom L: 128
Ryu JW: 366
Sachse F: 512
Sachse FB: 76, 77, 636, 637, 638, 639, 640, 641, 642, 643, 678, 679, 848, 849, 850
Sacks E: 53
Saco D: 644
Safford RE: 350
Saha PK: 779
Sahoo N: 836
Saito S: 396
Salter EG: 776, 777, 778
Sanchez-Quintana D: 227
Sandelowski M: 645
Sandhu I: 579
Sandhu IS: 646
Sanghun P: 745
Sannella M: 129
Sanner MD: 647
Sansone M: 75
Santangelo K: 476
Sanudo J: 794
Sarnoski J: 648
Saroul L: 649, 650
Sarti A: 651
Satava RM: 652, 653
Satyapal KS: 556, 654
Saupe D: 531
Savino M: 280
Scalzetti EM: 856
Scanlon WG: 655
Scherzinger AL: 19, 388, 715, 718, 719
Schiemann T: 73, 92, 98, 241, 315, 316, 317, 318, 319, 483, 575, 577, 656, 657, 658, 659, 660, 662, 671, 672, 744, 761, 762
Schier FH: 417
Schikore D: 53
Schikore DR: 56
Schill M: 661
Schinkman M: 661
Schmelzle R: 292
Schmidt H: 509, 779
Schmidt R: 662
Schmitt F: 478, 479, 480
Schobinger M: 859, 860
Scholtz J: 415
Schroeder W: 663, 880
Schroeder WJ: 419, 664, 665, 666, 667, 668
Schubert R: 244, 315, 316, 317, 318, 319, 429, 465, 566, 575, 577, 656, 669, 670, 671, 672
Schulder M: 738
Schultz RR: 673
Schulze D: 292
Schumacher U: 255, 315, 318, 566, 575, 577
Schweitzer M: 286
Seamans J: 296, 674, 910
Sears A: 727
Sechopoulos P: 675
Sechrest RC: 676
Sedighi M: 677
Seemann G: 638, 678, 679
Segars WP: 680, 681, 682
Seger M: 564
Seifert MD: 683
Sellberg M: 382, 384, 385, 394, 684
Senger S: 192, 193, 194, 685, 686, 687, 688
Senger SO: 689
Sereno MI: 237
Seymour J: 690, 691, 725
Shafik A: 692
Shah M: 867
Shan JL: 893, 894
Shelton D: 693
Shen HW: 400, 837
Shen W: 694
Shenton ME: 267
Sherman J: 695
Sherman R: 277
Shi CY: 856
Shih AM: 351
Shim VB: 696
Shimokawa T: 396
Shin BS: 550
Shin YG: 366
Shirley P: 553
Shneiderman B: 540, 541, 542
Shoja MM: 776
Shoumura S: 142
Shum PC: 351
Sieburg HB: 847
Siegel ER: 454
Sifakis E: 754
Sikorovsky E: 322
Silva CT: 665
Silva JS: 415
Silver D: 246
Silverstein JC: 147, 697, 698, 699
Simmons JW: 108
Simmross-Wattenberg F: 700
Sims D: 701
Sinav A: 702
Sinay A: 797
Singh B: 556
Sinha S: 306
Siqueira M: 44
Skov NM: 834
Slavin KV: 703
Sloan PP: 553
Smith BR: 704
Smith DM: 705, 706
Smith MB: 160
Smith NB: 28
Smith NP: 440, 602, 873
Smith O: 707
Smith RG: 886
Smith SB: 708, 709
Snedeker JG: 710
Soliz E: 344, 509, 702, 796, 797, 826, 827
Son IY: 711
Song D: 55
Song L: 749
Song ZJ: 433
Soni BK: 351
Sora MC: 712
Spadola L: 627
Spencer SN: 622
Spinner RJ: 709, 713
Spitzer V: 304, 579, 595, 596, 714, 715
Spitzer VM: 19, 217, 388, 597, 598, 599, 646, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725
Spurgeon TL: 489
Spyrou NM: 33
Srinivasan R: 884
Srivastava S: 192, 194, 295
Stacy MC: 287
Stallings DC: 842, 844
Stanney KM: 726, 727
Stavroulakis P: 251
Stefanich L: 728
Steiner P: 671
Steinke H: 729
Stephens B: 730
Stephens BH: 731
Stern M: 732
Stetten G: 34, 693
Stevens P: 477
Steward D: 490
Stewart C: 693
Stewart JE: 270, 733, 734, 735
Stewart WB: 605
Stix G: 736
Stoellberger C: 321
Stoianovici D: 158, 486
Stoicheff P: 519
Stokking R: 753
Streicher RM: 696
Strickler DJ: 214, 843
Strupp-Adams A: 296, 737
Su FC: 442
Subasic M: 738
Subotich D: 739
Subramanian KR: 883
Suc E: 393
Suk Chung M: 740
Summers RL: 741
Sumpter JA: 555
Sun H: 742
Sun Y: 912
Sundaraj K: 417
Sundsten JW: 99
Susin A: 459
Swamy SN: 496
Sweeney HJ: 117
Szekely G: 57, 743
Tabbert E: 744
Taddei F: 801
Tae HR: 745
Tahmasebi A: 1
Taira R: 648
Takanashi I: 746, 747
Takaoki E: 538
Takebayashi T: 396
Talos IF: 521
Tamburo R: 748
Tan EL: 467
Tan KH: 159
Tan L: 434
Tan LW: 141, 281, 435, 436, 588, 749, 893, 894
Tan O: 211, 359
Tan TW: 467
Tang H: 381, 694
Tang L: 225, 885
Tang Z: 434, 901
Tang ZS: 281, 436, 588, 749
Tannenbaum A: 569
Tao C: 901
Taosong H: 439
Tarraga J: 301, 750
Tarricone L: 121
Tatsumi H: 534, 538
Tauber MJ: 539
Taupitz M: 73
Tawhai MH: 235
Taylor A: 519
Taylor RH: 84
Temkin B: 23, 24, 475, 730, 751, 752, 783
Temkin J: 419
Tendulkar S: 665
ter Haar Romeny BM: 753
Teran J: 754
Terashita T: 396
Terry J: 755
Testi D: 801
Thalmann D: 74, 392, 485
Thalmann NM: 74, 165, 264, 265
Theologou T: 154
Thom E: 662
Thoma G: 505, 507
Thoma GR: 493, 756, 757, 758, 759
Thompson D: 1, 665
Thompson JM: 401
Thorstensson A: 179, 180
Thrupp SF: 235
Thuman R: 344
Thumann R: 345, 509, 623
Thurfjell L: 760
Tian J: 898, 899, 900
Tian X: 901
Tiede U: 111, 241, 255, 315, 316, 317, 318, 319, 565, 566, 567, 575, 576, 577, 586, 587, 656, 658, 659, 660, 671, 672, 744, 761, 762, 896, 902, 903
Tilg B: 564
Toedte RJ: 844
Toh MY: 285, 763, 764, 765, 766, 767, 768
Tolliver JS: 214, 843
Tomov S: 362
Tonar Z: 769
Tong A: 751
Tootell RB: 237
Toriwaki J: 770
Tracton G: 243, 568
Trappl R: 123
Trautenmuller P: 185
Treichler PA: 120, 771
Trieb T: 564
Triola MM: 591
Trobec R: 772, 773, 774
Troccaz J: 101
Trunk P: 772, 773, 774
Tsang PY: 775
Tsikaras P: 527
Tsirline V: 699
Tsuda K: 518
Tsui BM: 681
Tsuil BM: 682
Tsymbal A: 229
Tubbs RS: 776, 777, 778
Tublin ME: 151
Turello S: 628
Turjanmaa V: 403
Turk G: 400, 649
Turner R: 160
Twombly A: 625
Twose C: 425
Udupa J: 346
Udupa JK: 779
Uhl JF: 780
Umans C: 267
Untaroiu C: 781, 782
Urban M: 428
Vaidehi N: 304
Vaidyanath S: 752, 783
Vaisanen J: 784
Valencic V: 393
Valentini V: 785
Valenza P: 574, 786
van Berkel C: 578
van Dalen JA: 787
van den Eijkel WG: 788
Van Der Weijden R: 753
Van Dijck J: 789
Van Essen DC: 207, 208, 209, 790, 791
van Essen NL: 792
Van Waes PF: 753
Van Walsum T: 753
van Wijk JJ: 400, 649
Vannier M: 881
Vannier MW: 321, 331, 349, 426, 572, 615, 661, 793
Vazquez MT: 794
Venuti JM: 509, 795, 796, 797, 828
Verhey JF: 798
Verly JG: 799
Vetsch S: 301, 800
Vetter M: 858, 859, 860
Viceconti M: 801
Viergever MA: 753
Vigneron LM: 799
Viik J: 583
Villamil R: 345, 509
Virtanen H: 804
Viswambharan A: 325, 326, 327
Viswanathan A: 84
Vogel W: 787
Voiglio EJ: 65, 822, 823
Volkau I: 824
Vollrath L: 355, 356
von Buren DF: 398
Von Sternberg-Gospos N: 292
Voon FC: 416
Vosburgh K: 304
Votteas VE: 548
Vu D: 309, 310
Wacholder N: 509, 797, 826, 827, 828
Wadman M: 829
Wahl RL: 503
Wake WK: 830
Waldby C: 831, 832
Waldron K: 192
Waldrop MM: 833
Walker DS: 834
Walsh RJ: 476, 835
Walt S: 233
Wan XH: 885
Wang B: 836
Wang BL: 911
Wang C: 837
Wang G: 838
Wang H: 587, 839
Wang J: 893, 894
Wang JT: 781, 782
Wang KH: 871
Wang LJ: 885
Wang MD: 838
Wang QZ: 885
Wang W: 840
Wang X: 298, 840, 841
Wang Y: 114, 115, 153, 434, 587
Wang YP: 515
Wang YS: 281, 436, 588, 749
Wang Z: 694
Waniewski J: 474
Wannamaker B: 421, 422
Ward R: 198, 524
Ward RC: 214, 842, 843, 844
Warfield SK: 210
Warner AJ: 42
Warner JH: 845
Wax M: 326, 327
Weckermann D: 289
Wee WG: 840
Weeks S: 46, 47
Weerasinghe G: 177
Weghorst S: 846
Weghorst SJ: 847
Wegner I: 858, 859, 860
Wei YC: 325
Weickert J: 753
Weiner MJ: 591
Weinzweig J: 706
Weixue L: 156
Welch AE: 488
Weller R: 92
Wellons JC 3rd: 776
Wells WM: 521
Wells WM 3rd: 522
Welz R: 301, 800
Werner C: 639, 640, 848
Werner CD: 76, 77, 637, 638, 641, 642, 643, 849, 850
Westin CF: 700
Wetzel AW: 90
Wheeler DL: 851
Whitaker R: 880
Whitaker RT: 122, 221, 852, 853
Whiteley GR: 362
Whitlock D: 715, 719
Whitlock DG: 19, 388, 720, 721, 722, 723, 724, 725
Whitted JT: 328
Wijkstra H: 374
Wilhelms-Tricarico R: 854, 864
Williams JP: 42
Williams TS: 855
Wilson JS: 48
Wilson M: 507
Windolf J: 255
Windsor JA: 873
Wink O: 753
Winslow M: 711, 856, 857
Winslow R: 304
Winslow RL: 401
Wirtz CR: 197
Wolf I: 87, 858, 859, 860
Wolfel HP: 635
Wong BA: 100
Wong TT: 297, 298, 299, 589
Wood B: 861
Woodall J: 552
Workman EL: 287
Worley BA: 842
Worthington R: 862
Wu CM: 854, 863, 864
Wu KC: 885
Wu L: 885
Wu T: 885
Wu W: 297
Wu Z: 865, 866
Wurzinger LJ: 109
Xia Y: 437
Xiao H: 893, 894
Xie J: 867
Xie Y: 297, 298
Xie YM: 299, 435, 893, 894
Xinwei X: 853
Xu XG: 95, 96, 97, 135, 136, 137, 138, 711, 836, 856, 857, 868, 869, 870
Xu Y: 186, 297
Xudong L: 156
Xue J: 899, 900
Yagel R: 668
Yambert MW: 844
Yan Z: 587, 896, 903
Yan ZG: 897
Yang KH: 871
Yang P: 841
Yang S: 506, 507
Yang X: 434
Yang XP: 436, 893, 894
Yang Z: 872
Yao J: 204
Yassi R: 873
Yazici B: 711, 857
Ye X: 114, 115
Yema P: 256
Yinghua LU: 874
Yinhua C: 874
Yoo T: 20
Yoo TS: 21, 22, 215, 216, 238, 425, 516, 875, 876, 877, 878, 879, 880, 881, 882, 883
You J: 436, 893, 894
Young J: 62
Young P: 490
Yu CP: 884
Yuan L: 225, 885, 907
Yuan W: 340, 341, 342, 343
Yushkevich PA: 886
Zamora G: 507
Zankl M: 560, 887
Zasadny KR: 503
Zatura F: 769
Zeitler DL: 196
Zeng X: 559
Zengerling MT: 888
Zerah M: 157
Zhang H: 678, 889
Zhang J: 890
Zhang L: 885
Zhang MC: 225, 885
Zhang S: 434
Zhang SX: 141, 281, 299, 435, 436, 588, 749, 891, 892, 893, 894, 895
Zhang WG: 436, 893, 894
Zhang Y: 839
Zhang YT: 359
Zhao H: 899
Zhao J: 896, 897, 903
Zhao M: 898, 899
Zhao MC: 900
Zhao WD: 225
Zhao Y: 742, 901
Zhen G: 874
Zheng L: 896, 902, 903
Zheng LB: 904
Zheng W: 824
Zheng Y: 905
Zhong SZ: 225, 885, 906, 907, 911
Zhongke W: 908, 909
Zhou GH: 437
Zhou R: 910
Zhou WY: 911
Zhou Y: 559
Zhou ZM: 911
Zhu H: 912
Zhu S: 694
Zhu X: 899, 900
Zhuang T: 587, 896, 902, 903
Zhuang TG: 897, 904
Zhuge Y: 779
Ziegler R: 513
Zonneveld F: 753
Zuffo MK: 185, 266
Zuiderveld KJ: 753
Last reviewed: 24 November 2008
Last updated: 24 November 2008
First published: 05 June 2007
Metadata| Permanence level: Permanent: Stable Content