parse.bib

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% Encoding: Cp1252

@ARTICLE{A.R.BehnkeJr.M.D1995,
  author = {A. R. Behnke Jr. M.D, B. G. Feen M.D, W. C. Welham M.D.},
  title = {{THE} {SPECIFIC} {GRAVITY} {OF} {HEALTHY} {MEN}: {BODY} {WEIGHT}
	+ {VOLUME} {AS} {AN} {INDEX} {OF} {OBESITY}},
  journal = {Obesity Research},
  year = {1995},
  volume = {3},
  pages = {295-300},
  owner = {Bernard},
  timestamp = {2013.02.19}
}

@ARTICLE{Barber1996,
  author = {C. Bradford Barber and David P. Dobkin and Hannu Huhdanpaa},
  title = {{T}he {Q}uickhull algorithm for convex hulls},
  journal = {ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE},
  year = {1996},
  volume = {22},
  pages = {469--483},
  number = {4}
}

@TECHREPORT{Barequet2001,
  author = {Gill Barequet and Sariel Har-Peleld},
  title = {{E}fficiently {A}pproximating the {M}inimum-{V}olume {B}ounding {B}ox
	of a {P}oint {S}et in {T}hree {D}imensions},
  institution = {University of Illinois},
  year = {2001},
  owner = {Greg Corbett},
  timestamp = {2013.02.05}
}

@ARTICLE{Bauer2011,
  author = {S Bauer and J Wasza and S Haase et al},
  title = {{M}ulti-modal surface registration for markerless initial patient
	setup in radiation threapy using microsoft's {K}inect sensor},
  journal = {Computer Vision Workshops (ICCV Workshops)},
  year = {2011},
  pages = {1175-1181},
  owner = {Greg Corbett},
  timestamp = {2013.02.06}
}

@BOOK{Bryant2011,
  title = {{H}ow round is your circle? {W}here engineering and mathematics meet.},
  publisher = {Princeton, NJ: Princeton University Press.},
  year = {2011},
  author = {Bryant, John and Sangwin, Chris},
  abstract = {{See the review of the hardback edition (2008) in Zbl 1166.00001.}},
  classmath = {{*00A05 (General mathematics) 00A69 (General applied mathematics)
	00A79 (Physics) }},
  language = {English}
}

@ARTICLE{C1968March,
  author = {Steinkamp R C},
  title = {{B}ody {C}omposition in relation to disease.},
  journal = {Am J Public Health Nations Health},
  year = {1968, March},
  volume = {58},
  pages = {473-476},
  owner = {Bernard},
  timestamp = {2013.02.16}
}

@MISC{Cheung2007,
  author = {Sen-Ching S. Cheung and Chandrika Kamath},
  title = {{R}obust techniques for background subtraction in urban traffic video},
  year = {2007}
}

@BOOK{Cormen2001,
  title = {{F}inding the convex hull. {I}ntroduction to {A}lgorithms},
  publisher = {MIT Press and McGraw-Hill.},
  year = {2001},
  author = {Cormen, Thomas H and Leiserson, Charles E andRivest, Ronald L and
	Stein, Clifford},
  owner = {Greg Corbett},
  timestamp = {2013.03.12}
}

@ARTICLE{Cucchiara2003,
  author = {Rita Cucchiara and Costantino Grana and Massimo Piccardi and Andrea
	Prati},
  title = {{D}etecting {M}oving {O}bjects, {G}hosts and {S}hadows in {V}ideo
	{S}treams},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2003},
  volume = {25},
  pages = {1337--1342}
}

@ARTICLE{D2003,
  author = {Shen D and Zhan Y and Davatzikos C},
  title = {{S}egmentation of prostate boundaries from ultrasound images using
	statistical shape model},
  journal = {IEEE Trans Med Imaging},
  year = {2003},
  volume = {4},
  pages = {539-551},
  owner = {Greg Corbett},
  timestamp = {2013.03.12}
}

@ARTICLE{Ducimetiere1986,
  author = {P Ducimetiere and J Richard and F Cambien},
  title = {{T}he pattern of {S}ubcutaneous fat distribution in middle-aged men
	and the risk of coronary heart disease.},
  journal = {The Paris Prospective Study. International Journal of Obesity},
  year = {1986},
  volume = {10},
  pages = {229-240},
  owner = {Greg Corbett},
  timestamp = {2013.02.06}
}

@ARTICLE{Elgammal2003,
  author = {Ahmed Elgammal and Ramani Duraiswami and Larry S. Davis},
  title = {{E}fficient {K}ernel {D}ensity {E}stimation using the {F}ast {G}auss
	{T}ransform with {A}pplications to {C}olor {M}odeling and {T}racking},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2003},
  volume = {25},
  pages = {1499--1504}
}

@INPROCEEDINGS{Elgammal2000,
  author = {Ahmed Elgammal and David Harwood and Larry Davis},
  title = {{N}on-parametric model for background subtraction},
  booktitle = {FRAME-RATE WORKSHOP, IEEE},
  year = {2000},
  pages = {751--767}
}

@ARTICLE{Flegal2012,
  author = {Flegal, Katherine.},
  title = {{P}revalence of {O}besity and {T}rends in the {D}istribution of {B}ody
	{M}ass {I}ndex {A}mong {US} {A}dults, 1999-2010},
  journal = {JAMA},
  year = {2012},
  volume = {307},
  pages = {491-497},
  owner = {Bernard},
  timestamp = {2013.02.17}
}

@ARTICLE{Frechet1927,
  author = {Maurice Fréchet},
  title = {{S}ur la loi de probabilité de l'écart maximum},
  journal = {Annales de la Société Polonaise de Mathematique},
  year = {1927},
  volume = {6},
  pages = {93 - 116},
  owner = {Greg Corbett},
  timestamp = {2013.03.11}
}

@ARTICLE{Goodpaster1997,
  author = {B Goodpaster and F Thaete and J Simoneau et al},
  title = {{S}ubcutaneous {A}bdominal {F}at and {T}high {M}uscle {C}omposition
	{P}redict {I}nsulin {S}ensitivity {I}ndependently of {V}isceral {F}at.},
  journal = {Diabetes},
  year = {1997},
  volume = {46},
  pages = {1579-1585},
  owner = {Greg Corbett},
  timestamp = {2013.02.06}
}

@ARTICLE{Graham1971,
  author = {Thomas P. Graham and Jay M. Jarmakani and Ramon V. Canent and Mary
	N. Morrow},
  title = {{L}eft {H}eart {V}olume {E}stimation in {I}nfancy and {C}hildhood
	: {R}eevaluation of {M}ethodology and {N}ormal {V}alues},
  journal = {American Heart Association},
  year = {1971},
  volume = {43},
  pages = {895-904},
  owner = {Greg Corbett},
  timestamp = {2013.03.12}
}

@ARTICLE{Han2004,
  author = {Han,B. and Comaniciu, D. and Davis, Larry S.},
  title = {{S}equential kernel density approximation through mode propagation:
	applications to background modeling},
  journal = {Proc. ACCV},
  year = {2004},
  volume = {2004},
  month = {2004///},
  abstract = {{D}ensity-based modeling of visual features is very commonin computer
	vision, either by using non-parametric techniques or through representing
	the underlying density function as a weighted sum of {G}aussians.
	{A} number of real-time tasks such as background modeling or modeling
	the appearance of a moving target require sequential density estimation,
	where new data is incorporated in the model as it becomes avail-
	able. {N}evertheless, current methods for updating the den- sity
	function either lack flexibility, by fixing the number of {G}aussians
	in the mixture, or require large memory amounts, by maintaining a
	non-parametric representation of the den- sity. {T}his paper presents
	an efficient method for recursive density approximation that relies
	on the propagation of the density modes. {A}t each time step, the
	modes of the density are re-estimated and a {G}aussian component
	is assigned to each mode. {T}he covariance of each component is derived
	from the {H}essian matrix estimated at the mode location. {T}o detect
	the modes we employ the variable-bandwidth mean shift. {W}hile the
	proposed density representation is mem- ory efficient (which is typical
	for mixture densities), it in- herits the flexibility of non-parametric
	methods, by allow- ing the number of modes to adapt in time. {W}e
	show that the same mode propagation principle applies for subspaces
	derived from eigen analysis. {E}xtensive experimental back- ground
	modeling results demonstrate the performance of the method.}
}

@MISC{Han2007,
  author = {Bohyung Han and Dorin Comaniciu and Ying Zhu and Larry S. Davis},
  title = {{S}equential {K}ernel {D}ensity {A}pproximation and {I}ts {A}pplication
	to {R}eal-{T}ime {V}isual {T}racking},
  year = {2007}
}

@ARTICLE{Iat-FaiLeong2007,
  author = {Iat-Fai Leong, Jing-Jing Fang, Ming-June Tsai},
  title = {{A}utomatic body feature extraction from a marker-less scanned human
	body},
  journal = {Computer Aided Design},
  year = {2007},
  volume = {39},
  pages = {568-582},
  owner = {Bernard},
  timestamp = {2013.02.16}
}

@ARTICLE{Izadi2011,
  author = {S Izadi and D Kim and O Hilliges et al},
  title = {{K}inect{F}usion: real-time 3{D} reconstruction and interaction using
	a moving depth camera.},
  journal = {Proceedings of the 24th annual ACM symposium on User interface software
	and technology},
  year = {2011},
  owner = {Greg Corbett},
  timestamp = {2013.02.06}
}

@ARTICLE{Jarvis1973,
  author = {Jarvis, R. A.},
  title = {{O}n the {I}dentification of the {C}onvex {H}ull of a {F}inite {S}et
	of {P}oints in the {P}lane},
  journal = {Information Processing Letters},
  year = {1973},
  volume = {2},
  pages = {18--21},
  number = {1},
  month = mar,
  citeulike-article-id = {7935516},
  keywords = {algorithm, convex, hull},
  posted-at = {2010-10-01 17:26:27},
  priority = {0}
}

@ARTICLE{K1991,
  author = {Terris M K and Stamey T A},
  title = {{D}etermination of prostate volume by transrectal ultrasound.},
  journal = {The Journal of Urology},
  year = {1991},
  volume = {5},
  pages = {984-987},
  owner = {Greg Corbett},
  timestamp = {2013.03.11}
}

@ELECTRONIC{Kalvala2013,
  author = {Sara Kalvala},
  year = {2013},
  title = {{I}nteraction {L}ab (i{L}ab)},
  organization = {Warwick University iLab},
  address = {www.go.warwick.ac.uk/ilab},
  url = {http://www2.warwick.ac.uk/fac/sci/dcs/teaching/ilab},
  owner = {Greg Corbett},
  timestamp = {2013.02.27}
}

@ARTICLE{Koivuniemi2006,
  author = {Jyrki Koivuniemi and Kari T. Korhonen},
  title = {{I}nventory by {C}ompartments},
  journal = {Managing Forest Ecosystems},
  year = {2006},
  volume = {Volume 10},
  pages = {271-278},
  owner = {Greg Corbett},
  timestamp = {2013.03.11}
}

@INPROCEEDINGS{Koller1994,
  author = {D. Koller and J. Weber and T. Huang and J. Malik and G. Ogasawara
	and B. Rao and S. Russell},
  title = {{T}owards {R}obust {A}utomatic {T}raffic {S}cene {A}nalysis in {R}eal-{T}ime},
  year = {1994},
  pages = {126--131}
}

@CONFERENCE{Kullberg2010,
  author = {Kullberg, J},
  title = {{W}hole-{B}ody {MRI} for analysis of body composition},
  booktitle = {2010 IEEE International Symposium on Biomedical Imaging: From Nano
	to Macro},
  year = {2010},
  owner = {Bernard},
  timestamp = {2013.02.16}
}

@ARTICLE{Lo2001,
  author = {Lo, B. and Velastin, S.},
  title = {{Automatic congestion detection system for underground platforms}},
  journal = {Intelligent Multimedia},
  year = {2001},
  month = jan,
  abstract = {{system for underground platforms Lo, BPL Velastin, SA Dept. of Electron.
	Eng., King's Coll., London;}},
  citeulike-article-id = {5127902},
  citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=925356},
  keywords = {analysis, behaviour, surveillance, vision},
  local-url = {file://localhost/Users/max/Documents/Papers/2001/Lo/Intelligent\%20Multimedia\%202001\%20Lo.pdf},
  posted-at = {2009-07-12 16:23:37},
  priority = {0},
  url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=925356}
}

@ARTICLE{lu2006,
  author = {Lu, X and Jain, A. K and Colbry, D},
  title = {Matching 2.5D Face Scans to 3D Models},
  journal = {IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE},
  year = {2006},
  volume = {28},
  pages = {31-43},
  owner = {Robin Janssens},
  timestamp = {2013.03.12},
  url = {http://www.cse.msu.edu/~colbrydi/Publications/PAMI06.pdf}
}

@INPROCEEDINGS{Makadia2006,
  author = {Ameesh Makadia and Alexander Patterson and IV and Kostas Daniilidis},
  title = {{F}ully automatic registration of 3d point clouds},
  booktitle = {IN CVPR ’06: PROCEEDINGS OF THE 2006 IEEE COMPUTER SOCIETY CONFERENCE
	ON COMPUTER VISION AND PATTERN RECOGNITION},
  year = {2006},
  pages = {1297-1304},
  abstract = {{W}e propose a novel technique for the registration of 3{D} point
	clouds which makes very few assumptions: we avoid any manual rough
	alignment or the use of landmarks, displacement can be arbitrarily
	large, and the two point sets can have very little overlap. {C}rude
	alignment is achieved by estimation of the 3{D}-rotation from two
	{E}xtended {G}aussian {I}mages even when the data sets inducing them
	have partial overlap. {T}he technique is based on the correlation
	of the two {EGI}s in the {F}ourier domain and makes use of the spherical
	and rotational harmonic transforms. {F}or pairs with low overlap
	which fail a critical verification step, the rotational alignment
	can be obtained by the alignment of constellation images generated
	from the {EGI}s. {R}otationally aligned sets are matched by correlation
	using the {F}ourier transform of volumetric functions. {A} fine alignment
	is acquired in the final step by running {I}terative {C}losest {P}oints
	with just few iterations.},
  owner = {Robin}
}

@ARTICLE{Maltamo2006,
  author = {Matti Maltamo and Kalle Eerikainen and Petteri Packalen and Juha
	Hyyppa},
  title = {{E}stimation of stem volume using laser scanning-based canopy height
	metrics},
  journal = {Forestry},
  year = {2006},
  volume = {Volume 79, Issue 2},
  pages = {Pp. 217-229},
  owner = {Greg Corbett},
  timestamp = {2013.03.11}
}

@INPROCEEDINGS{McIvor2000,
  author = {McIvor, Alan M.},
  title = {{Background Subtraction Techniques}},
  year = {2000},
  citeulike-article-id = {3787653},
  citeulike-linkout-0 = {http://citeseer.ist.psu.edu/old/455262.html},
  comment = {Short overview article of background-subtraction techniques. Bit skimpy
	on implementation details.},
  journal = {In Proc. of Image and Vision Computing, Auckland, New Zealand, 2000.},
  keywords = {background-subtraction, segmentation},
  posted-at = {2008-12-14 15:45:47},
  url = {http://citeseer.ist.psu.edu/old/455262.html}
}

@ELECTRONIC{NHSNationalInstituteforHealthResearch2010,
  author = {NHS National Institute for Health Research, University of Birmingham},
  month = {June},
  year = {2010},
  title = {{B}ody {V}olume {I}ndex 3{D} {S}canner for obesity},
  language = {English},
  howpublished = {Onlne Press Release},
  organization = {National Horizon Scanning Centre},
  url = {https://www.google.co.uk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&ved=0CIYBEBYwCA&url=http%3A%2F%2Fwww.hsc.nihr.ac.uk%2Ffiles%2Fdownloads%2F1587%2F2041.cb2fe4db.SelectResearchBodyVolumeIndex3DScannerforObesity.pdf&ei=I0whUa70PLD34QTAoYHgAg&usg=AFQjCNGyUTvxI4RgGCK2bHVO4V0QqWQjxQ&sig2=WSz-JageNOR5aEIeG7TvDg&bvm=bv.42553238,d.bGE},
  owner = {Bernard},
  timestamp = {2013.02.17}
}

@ARTICLE{Oliver2000,
  author = {Nuria M. Oliver and Barbara Rosario and Alex P. Pentland},
  title = {{A} {B}ayesian computer vision system for modeling human interactions},
  journal = {IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE},
  year = {2000},
  volume = {22},
  pages = {831--843},
  number = {8}
}

@INPROCEEDINGS{Piccardi2004,
  author = {Piccardi, M.},
  title = {{Background subtraction techniques: a review}},
  booktitle = {IEEE International Conference on Systems, Man and Cybernetics},
  year = {2004},
  volume = {4},
  pages = {3099--3104},
  month = oct,
  publisher = {IEEE},
  abstract = {{Background subtraction is a widely used approach for detecting moving
	objects from static cameras. Many different methods have been proposed
	over the recent years and both the novice and the expert can be confused
	about their benefits and limitations. In order to overcome this problem,
	this paper provides a review of the main methods and an original
	categorisation based on speed, memory requirements and accuracy.
	Such a review can effectively guide the designer to select the most
	suitable method for a given application in a principled way. Methods
	reviewed include parametric and non-parametric background density
	estimates and spatial correlation approaches.}},
  citeulike-article-id = {4848803},
  citeulike-linkout-0 = {http://dx.doi.org/10.1109/icsmc.2004.1400815},
  citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1400815},
  day = {13},
  doi = {10.1109/icsmc.2004.1400815},
  institution = {Comput. Vision Group, Univ. of Technol., Sydney, NSW, Australia},
  isbn = {0-7803-8566-7},
  issn = {1062-922X},
  journal = {IEEE International Conference on Systems, Man and Cybernetics},
  keywords = {background\_subtraction},
  location = {The Hague, Netherlands},
  posted-at = {2009-10-29 13:12:02},
  url = {http://dx.doi.org/10.1109/icsmc.2004.1400815}
}

@BOOK{Pretzsch2009,
  title = {{F}orest {D}ynamics, {G}rowth and {Y}ield: {F}rom {M}easurement to
	{M}odel},
  publisher = {Springer},
  year = {2009},
  author = {Hans Pretzsch},
  owner = {Greg Corbett},
  timestamp = {2013.02.05}
}

@ARTICLE{Romero-Corral2008,
  author = {A. Romero-Corral and V. K. Somers and J. Sierra-Johnson and R. J.
	Thomas and M. L. Collazo-Clavell and J. Korinek and T. G. Allison
	and J. A. Batsis and F. H. Sert-Kuniyoshi and F. Lopez-Jimenez},
  title = {{A}ccuracy of body mass index in diagnosing obesity in the adult
	general population},
  journal = {International Journal of Obesity},
  year = {2008},
  volume = {32},
  pages = {949-956},
  owner = {Bernard},
  timestamp = {2013.02.17}
}

@ARTICLE{Rosen1990,
  author = {Glenn D. Rosen and Jason D. Harry},
  title = {{B}rain volume estimation from serial section measurements: a comparison
	of methodologies},
  journal = {Journal of Neuroscience Methods},
  year = {1990},
  volume = {35},
  pages = {115–124},
  owner = {Greg Corbett},
  timestamp = {2013.03.12}
}

@ARTICLE{Rypens2001,
  author = {Françoise Rypens and Thierry Metens and Nathalie Rocourt and Pascale
	Sonigo and Francis Brunelle and Marie Pierre Quere and Laurent Guibaud
	and Brigitte Maugey-Laulom and Chantal Durand and Fred E. Avni and
	Danièle Eurin},
  title = {{F}etal {L}ung {V}olume: {E}stimation at {MR} {I}maging: {I}nitial
	{R}esults},
  journal = {Radiology},
  year = {2001},
  volume = {219},
  pages = {236-241},
  owner = {Greg Corbett},
  timestamp = {2013.03.12}
}

@INPROCEEDINGS{Seki2003,
  author = {Makito Seki and Toshikazu Wada and Hideto Fujiwara and Kazuhiko Sumi},
  title = {{B}ackground {S}ubtraction based on {C}ooccurrence of {I}mage {V}ariations},
  booktitle = {CVPR (2)},
  year = {2003},
  pages = {65-72},
  ee = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211453}
}

@ELECTRONIC{Solid2013,
  author = {Terra Solid},
  year = {2013},
  title = {{S}oftware for {A}irborne and {M}obile {L}i{DAR} and {I}mage {P}rocessing},
  organization = {Terra Solid},
  address = {http://www.terrasolid.fi/},
  owner = {Greg Corbett},
  timestamp = {2013.03.11}
}

@INPROCEEDINGS{Stauffer1999,
  author = {Stauffer, C. and Grimson, W. E. L.},
  title = {{Adaptive background mixture models for real-time tracking}},
  booktitle = {Computer Vision and Pattern Recognition, 1999. IEEE Computer Society
	Conference on.},
  year = {1999},
  volume = {2},
  pages = {246--252 Vol. 2},
  address = {Los Alamitos, CA, USA},
  month = aug,
  publisher = {IEEE},
  abstract = {{A common method for real-time segmentation of moving regions in image
	sequences involves ” background subtraction ” , or thresholding the
	error between an estimate of the image without moving objects and
	the current image. The numerous approaches to this problem differ
	in the type of background model used and the procedure used to update
	the model. This paper discusses modeling each pixel as a mixture
	of Gaussians and using an on-line approximation to update the model.
	The Gaussian, distributions of the adaptive mixture model are then
	evaluated to determine which are most likely to result from a background
	process. Each pixel is classified based on whether the Gaussian distribution
	which represents it most effectively is considered part of the background
	model. This results in a stable, real-time outdoor tracker which
	reliably deals with lighting changes, repetitive motions from clutter,
	and long-term scene changes. This system has been run almost continuously
	for 16 months, 24 hours a day, through rain and snow}},
  citeulike-article-id = {797287},
  citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/CVPR.1999.784637},
  citeulike-linkout-1 = {http://dx.doi.org/10.1109/cvpr.1999.784637},
  citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=784637},
  day = {06},
  doi = {10.1109/cvpr.1999.784637},
  institution = {Artificial Intelligence Lab., MIT, Cambridge, MA},
  isbn = {0-7695-0149-4},
  issn = {1063-6919},
  journal = {Computer Vision and Pattern Recognition, IEEE Computer Society Conference
	on},
  keywords = {1999, backgroundsubtraction, video, vision},
  location = {Fort Collins, CO, USA},
  posted-at = {2006-08-11 17:17:29},
  priority = {5},
  url = {http://dx.doi.org/10.1109/cvpr.1999.784637}
}

@MISC{UnitedKingdomofGreatBritain2011,
  author = {Her Britannic Majesty's Government of the United Kingdom of Great
	Britain and Northern Ireland},
  title = {{C}ensus},
  year = {2011},
  owner = {Greg Corbett},
  timestamp = {2013.02.06}
}

@BOOK{Various2000,
  title = {{M}edical {I}mage {P}rocessing - 1984-1999},
  publisher = {SPIE Conferences},
  year = {2000},
  editor = {Kenneth M. Hanson},
  author = {Various},
  owner = {Bernard},
  timestamp = {2013.02.16}
}

@MASTERSTHESIS{Weyers2000,
  author = {Weyers, Anna},
  title = {{C}omparison of body composition using the {B}od {P}od and dual-energy
	x-ray absorptiometry before and after weight loss},
  school = {Ball State University},
  year = {2000},
  owner = {Bernard},
  timestamp = {2013.02.16}
}

@ARTICLE{Wren1997,
  author = {Christopher Wren and Ali Azarbayejani and Trevor Darrell and Alex
	Pentland},
  title = {{P}finder: {R}eal-{T}ime {T}racking of the {H}uman {B}ody},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {1997},
  volume = {19},
  pages = {780--785}
}

@ARTICLE{YujiMatsuzawa1994,
  author = {Yuji Matsuzawa, Iichiro Shimomura, Tadashi Nakamura, Yoshiaki Keno,
	Katsuto Tokunaga},
  title = {{P}athophysiology and pathogenesis of visceral fat obesity},
  journal = {Diabetes Research and Clinical Practice},
  year = {1994},
  volume = {24},
  pages = {111-116},
  owner = {Bernard},
  timestamp = {2013.02.19}
}