@String{ jan = {Jan.}}
@String{ feb = {Feb.}}
@String{ mar = {Mar.}}
@String{ apr = {Apr.}}
@String{ may = {May}}
@String{ jun = {Jun.}}
@String{ jul = {Jul.}}
@String{ aug = {Aug.}}
@String{ sep = {Sep.}}
@String{ oct = {Oct.}}
@String{ nov = {Nov.}}
@String{ dec = {Dec.}}

@string{ IEEE-TPAMI =  {IEEE Transactions on Pattern Analysis and Machine Intelligence} }
@String{ IEEE-TCE = {IEEE Transactions on Consumer Electronics}}
@string{ IEEE-TMI = {IEEE Transactions on Medical Imaging} }
@string{ IEEE-TMM = {IEEE Transactions on Multimedia} }
@string{ IEEE-TIP = {IEEE Transactions on Image Processing} }
@string{ IEEE-TBME = {IEEE Transactions on Biomedical Engineering} }
@string{ IEEE-TITB = {IEEE Transactions on Information Technology in Biomedicine} }
@string{ IEEE-TVCG = {IEEE Transactions on Visualization and Computer Graphics} }
@string{ IEEE-TSMC = {IEEE Transactions on Systems, Man and Cybernetics} }
@string{ IEEE-TSMCA = {IEEE Transactions on Systems, Man and Cybernetics, Part A} }
@string{ IEEE-TSMCB = {IEEE Transactions on Systems, Man and Cybernetics, Part B} }
@string{ IEEE-TNN = {IEEE Transactions on Neural Networks} }
@string{ IEEE-TSAP = {IEEE Transactions on Speech and Audio Processing} }
@string{ IEEE-TAC = {IEEE Transactions on Automatic Control} }
@string{ IEEE-SPM = {IEEE Signal Processing Magazine} }
@string{ IEEE-SPL = {IEEE Signal Processing Letters} }
@string{ IEEE-TSP = {IEEE Transactions on Signal Processing} }
@string{ IEEE-TIT = {IEEE Transactions on Information Theory} }
@string{ ProcIEEE = {Proceedings of the IEEE} }
@string{ IEEE-CGA = {IEEE Computer Graphics and Applications} }
@string{ IEEECOMP = {IEEE Computer} }
@string{ JCAT = {Journal of Computer Assisted Tomography} }
@string{ CVGIP = {Computer Vision, Graphics, and Image Processing} }
@string{ GraphModels = {Graphical Models} }
@string{ GMIP = {Graphical Models and Image Processing} }
@string{ CVIU = {Computer Vision and Image Understanding} }
@string{ MIA = {Medical Image Analysis} }
@string{ IJIST = {International Journal of Imaging Systems and Technology} }
@string{ CAS = {Computer Aided Surgery} }
@string{ MBEC =  {Med. Biol. Eng. Comput.} }
@string{ JNM = {Journal of Nuclear Medicine} }
@string{ ImageVisionComput = {Image and Vision Computing} }
@string{ MedPhys = {Medical Physics} }
@string{ Radiology = {Radiology} }
@string{ InvestRadiol = {Investigative Radiology} }
@string{ JIGS = {Journal of Image Guided Surgery} }
@string{ LARY = {Laryngoscope} }
@string{ JNR = {Journal of Neuroradiology} }
@string{ AJNR = {American Journal of Neuroradiology} }
@string{ ZNR = {Zentralblatt f\"ur Neurochirurgie} }
@string{ SE = {Surgical Endoscopy} }
@string{ JMRI = {Journal of Magnetic Resonance Imaging} }
@string{ MRI= {Magnetic Resonance Imaging} }
@string{ NCNA = {Neurosurgery Clinics of North America} }
@string{ AJS = {American Journal of Surgery} }
@string{ CJNS = {Canadian Journal of Neurological Sciences} }
@string{ JNI = {Journal of Neuroimaging} }
@string{ JNeuroimaging = {Journal of Neuroimaging} }
@string{ AJOL = {American Journal of Otolaryngology} }
@string{ ROI = {Radiation Oncology Investigations} }
@string{ BJR = {British Journal of Radiology} }
@string{ BJOMS = {British Journal of Oral and Maxillofacial Surgery} }
@string{ JNS = {Journal of Neurosurgery} }
@string{ JNSc = {The Journal of Neuroscience} }
@string{ JNScM = {Journal of Neuroscience Methods} }
@string{ JNeurosciMethods = {Journal of Neuroscience Methods} }
@string{ MolBrainRes = {Molecular Brain Research} }
@string{ NS = {Neurosurgery} }
@string{ EJR = {European Journal of Radiology} }
@string{ KlinNeurRad = {Klinische Neuroradiologie} }
@string{ MIUA = {Medical Image Understanding and Analysis} }
@string{ AJO = {American Journal of Otolaryngology}}
@string{ MiB = {Medizin im Bild}}
@string{ MVA = {Machine Vision and Applications} }
@string{ BiophysChem = {Biophysical Chemistry} }
@string{ PNAS = {Proceedings of the National Academy of Sciences of the U.S.A.} }
@string{ ACM-TOG = {ACM Transactions on Graphics} }
@string{ ACM-TOMS = {ACM Transactions on Mathematical Software} }
@string{ ACM-SGCG = {ACM SIGGRAPH Computer Graphics} }
@string{ ACMComputSurv = {ACM Computing Surveys} }
@string{ NeuroImage = {NeuroImage} }
@string{ RoeFo = {Fortschr R\"ontgenstr} }
@string{ PatRecog = {Pattern Recognition} }
@string{ PatRecogImageAnal = {Pattern Recognition and Image Analysis} }
@string{ PatRecogLett = {Pattern Recognition Letters} }
@string{ HumBrainMap = {Human Brain Mapping} }
@string{ NeuroSurg = {Neurosurgery} }
@string{ JCRCO = {Journal of Cancer Research and Clinical Oncology} }
@string{ RadOncBioPhys = {International Journal of Radiation Oncology Biology Physics} }
@string{ EurRadiol = {European Radiology}}
@string{ PhysMedBiol = {Physics in Medicine and Biology}}
@string{ IJROBP= {International Journal of Radiation Oncology, Biology, Physics}}
@string{ RO = {Radiotherapy Oncol}}
@string{ MRPBM = {Magnetic Resonance Materials in Physics, Biology and Medicine} }
@string{ AnnNuclMed = {Annals of Nuclear Medicine} }
@String{ AnnBiomedEng= {Annals of Biomedical Engineering}}
@string{ JNeurolNeurosurgPsychiatry = {Journal of Neurology, Neurosurgery, and Psychiatry} }
@string{ ComputMedImGraph = {Computerized Medical Imaging and Graphics} }
@string{ CompGraph = {Computer Graphics} }
@string{ SFN = {Stereotact Funct Neurosurg} }
@string{ JNNP = {Journal of Neurology, Neurosurgery, and Psychiatry} }
@string{ MRM = {Magnetic Resonance in Medicine} }
@string{ ParComput = {Parallel Computing} }
@string{ Neuron = {Neuron} }
@string{ JBI = {Journal of Biomedical Informatics}}
@string{ CMIG = {Computerized Medical Imaging and Graphics} }
@string{ IntJImagingSystTechnol = {International Journal of Imaging Systems and Technology} }
@string{ CommunACM = {Communications of the ACM} }
@string{ JACM = {Journal of the Association for Computing Machinery} }
@string{ JMicrosc = {Journal of Microscopy} }
@string{ AI = {Artificial Intelligence} }
@string{ JAmStatistAssoc = {Journal of the American Statistical Association} }
@string{ ComputJ = {Computer Journal} }
@string{ ActaRadiol = {Acta Radiologica} }
@string{ ComputBiolMed = {Computers in Biology and Medicine} }
@string{ IJCV = {International Journal of Computer Vision} }
@string{ ArtifIntellMed = {Artificial Intelligence in Medicine} }
@string{ ArtifIntellEng = {Artificial Intelligence in Engineering} }
@string{ InformFusion = {Information Fusion} }
@string{ IntelligentDataAnal = {Intelligent Data Analysis} }
@string{ SpeechCommun = {Speech Communication} }
@string{ PatternAnalAppl = {Pattern Analysis \& Applications} }
@string{ NeuralNetworks = {Neural Networks} }
@string{ NeuralComput = {Neural Computation} }
@string{ JElectronImaging = {Journal of Electronic Imaging} }
@string{ JNeurobiol = {Journal of Neurobiology} }
@string{ Lancet = {Lancet} }
@String{ ComputVisualSci = {Computing and Visualization in Science} }
@String{ MachLearn = {Machine Learning}}
@String{ AcadRadiol = {Academic Radiology}}
@String{ IJPRAI = {International Journal of Pattern Recognition and Artificial Intelligence}}
@String{ EJNM = {European Journal of Nuclear Medicine} }
@string{ JRoyalStatistSocB = {Journal of the Royal Statistical Society, Series B} }
@string{ IJIG = {International Journal of Image and Graphics} }
@string{ JAIR = {Journal of Artificial Intelligence Research} }
@string{ Spine = {Spine} }
@string{ LinearAlgebraApp = {Linear Algebra and its Applications}}
@string{ AmJRhinol = {American Journal of Rhinology} }
@string{ ConnectSci = {Connection Science} }
@string{ SeminRadiatOncol = {Seminars in Radiation Oncology} }
@string{ TCRT = {Technology in Cancer Research \& Treatment} }
@string{ AmJRoentgenol = {American Journal of Roentgenology}}
@string{ Neuroradiology = {Neuroradiology}}
@string { JInsectScience = {Journal of Insect Science} }
@string{ JMagnReson = {Journal of Magnetic Resonance} }
@string{ JMagnResonA = {Journal of Magnetic Resonance, Series A} }
@string{ JMagnResonB = {Journal of Magnetic Resonance, Series B} }
@string{ Nuklearmedizin = {Nuklearmedizin} }
@string{ Cell = {Cell}}
@string{ JBiomedOpt = {Journal of Biomedical Optics} }
@string{ NatBiotechnol = {Nature Biotechnology}}
@string{ Blood = {Blood}}
@string{ ProgNeurobiol = {Progress in Neurobiology}}
@string{ MicroscResTech = {Microscopy Research and Technique} }
@string{ ApplOpt = {Applied Optics} }
@string{ Methods =  {Methods} }
@string{ MechDev = {Mechanisms of Development} }
@string{ JCompNeurol = {Journal of Comparative Neurology} }
@string{ AlcoholClinExpRes = {Alcoholism: Clinical and Experimental Research}}
@string{ PPL = {Parallel Processing Letters} }
@string{ SchizophrRes = {Schizophrenia Research}}
@string{ AmJGeriatrPsychiatry = {American Journal of Geriatric Psychiatry} }
@string{ AmJPsychiatry = {American Journal of Psychiatry} }
@string{ AnnuRevBiomedEng = {Annual Review of Biomedical Engineering} }
@string{ AnalChem = {Analytical Chemistry} }
@string{ JMIV = {Journal of Mathematical Imaging and Vision} }
@string{ AnnNeurol = {Annals of Neurology} }
@string{ ClinOrthop = {Clinical Orthopaedics \& Related Research} }
@string{ JAnat = {Journal of Anatomy} }
@String{ AlcoholResHealth = {Alcohol Research \& Health}}
@String{ CerebCortex = {Cerebral Cortex}}
@String{ BrJPsychiatry = {The British Journal of Psychiatry}}
@String{ NMRBiomed = {NMR in Biomedicine}}
@String{ ImageAnalStereol = {Image Analysis \& Stereology} }
@string{ JCompPhys = {Journal of Computational Physics} }
@String{ JStudAlcohol = {Journal of Studies on Alcohol}}
@String{ JNeurolSci = {Journal of the Neurological Sciences}}
@String{ ArchNeurol = {Archives of Neurology}}
@String{ ArchGenPsychiatry = {Archives of General Psychiatry}}
@String{ NeurobiolAging = {Neurobiology of Aging}}
@String{ AmJHumBiol = {American Journal of Human Biology}}
@String{ BiolPsychol = {Biological Psychology}}
@String{ BiolPsychiatry = {Biological Psychiatry}}
@String{ NatNeurosci = {Nature Neuroscience}}
@String{ Neuroreport = {Neuroreport}}
@String{ CellTissueRes = {Cell and Tissue Research}}
@String{ TCRT = {Technology in Cancer Research \& Treatment}}
@String{ SFN = {Stereotactic and Functional Neurosurgery}}
@String{ Biometrics = {Biometrics}}
@String{ AnnMathStat = {Annals of Mathematical Statistics}}
@String{ PsychiatryResNeuroimaging = {Psychiatry Research: Neuroimaging}}
@String{ CurrOpinGenetDev = {Current Opinion in Genetics \& Development}}
@String{ ProcISMRM = {Proceedings of the International Society for Magnetic Resonance in Medicine}}
@String{ InverseProblems = {Inverse Problems}}
@String{ TrendsNeurosci = {Trends in Neuroscience}}
@String{ CurrOpinNeurobiol = {Current Opinion in Neurobiology}}
@String{ CellTissueRes = {Cell and Tissue Research}}
@String{ NatRevNeurosci = {Nature Reviews Neuroscience}}
@String{ AnnuRevNeurosci = {Annual Review of Neuroscience}}
@String{ TrendsCognSci = {Trends in Cognitive Sciences}}
@String{ JExpBiol = {Journal of Experimental Biology}}
@String{ LearnMem = {Learning Memory}}
@string{ JOSAA = {Journal of the Optical Society of America A}}
@String{ IOVS = {Investigative Ophthalmology \& Visual Science}}
@string{ ExpPhysiol = {Experimantal Physiology}}
@String{ AJRCCM = {American Journal of Respiratory and Critical Care Medicine}}
@String{ COACI = {Current Opinion in Allergy \& Clinical Immunology}}
@String{ MethodInformMed = {Methods of Information in Medicine}}
@String{ BiomechModelMechanobiol = {Biomechanics and Modeling in Mechanobiology}}
@String{ GenetEpidemiol = {Genetic Epidemiology}}
@String{ QApplMath = {Quarterly of Applied Mathematics}}
@String{ Bone = {Bone} }
@string{ Neuroscience = {Neuroscience}}
@String{ DrugAlcoholDepend = {Drug and Alcohol Dependence}}
@String{ ArtificialLife = {Artificial Life}}
@String{ Ecology = {Ecology}}
@String{ BMCMI = {BioMed Central Medical Imaging}}
@String{ AnatRec = {The Anatomical Record} }
@String{ Alcohol = {Alcohol}}
@String{ Teratology = {Teratology}}
@String{ Biometrika = {Biometrika}}
@String{ JRStatistSocB = {Journal of the Royal Statistical Society, Series B
                  (Methodological)}}
@String{ StatistSci = {Statistical Science}}
@String{ JExpBiol = {The Journal of Experimental Biology}}
@String{ IJBI = {International Journal of Biomedical Imaging}}
@String{ ComputGraphForum = {Computer Graphics Forum}}
@String{ BiophysJ = {Biophysical Journal}}
@string{ LNCS = {Lecture Notes in Computer Science} }
@String{ AnimCogn = {Animal Cognition}}
@String{ ChildDev = {Child Development}}
@String{ TrendsCognSci = {Trends in Cognitive Sciences}}
@String{ CognitPsychol = {Cognitive Psychology}}
@String{ Science = {Science}}
@String{ AnnNYAcadSci = {Annals of the New York Academy of Sciences}}
@String{ IntRevNeurobiol = {International Review of Neurobiology}}
@String{ PhilosTransRSocLondBBiolSci = {Philosophical Transactions of the
                  Royal Society of London. Series B, Biological Sciences}}
@String{ JAmMedInformAssoc = {Journal of the American Medical Informatics
                  Association}}
@String{ JOralMaxillofacSurg = {Journal of Oral and Maxillofacial Surgery}}
@String{ MathematicsMagazine = {Mathematics Magazine}}
@String{ NumericalAlgorithms = {Numerical Algorithms}}
@String{ Bioimaging = {Bioimaging}}
@String{ BMCBioinformatics = {BMC Bioinformatics}}
@String{ CurrBiol = {Current Biology}}
@String{ BrainResBull = {Brain Research Bulletin}}
@String{ BrainRes = {Brain Research}}
@String{ SIAM-JSC = {SIAM Journal on Scientific Computing}}
@String{ SIAM-JSSC = {SIAM Journal on Scientific and Statistical Computing}}
@String{ JMolGraphMod = {Journal of Molecular Graphics and Modelling}}
@String{ JSocIndustApplMath = {Journal of the Society for Industrial and Applied Mathematics}}
@String{ IntJMathStatSci = {International Journal of the Mathematical Statistics Sciences}}
@String{ JClinOncol = {Journal of Clinical Oncology}}
@String{ ElectronLett = {Electronics Letters}}
@String{ CVGIP-GMIP = {CVGIP: Graphical Models and Image Processing}}
@String{ MathComput = {Mathematics of Computation}}
@String{ AdvComputMath = {Advances in Computational Mathematics}}
@String{ JVision = {Journal of Vision}}
@String{ AnnuRevBiomedEng= {Annual Review of Biomedical Engineering}}
@String{ BrainImagingBehav = {Brain Imaging and Behavior}}
@String{ JGerontol = {Journal of Gerontology}}
@String{ JAmGeriatrSoc = {Journal of the American Geriatrics Society}}
@String{ IJBI = {International Journal of Biomedical Imaging}}
@String{ ProcSPIE = {Proceedings of SPIE}}
@String{ JGT = {Journal of Graphics Tools}}
@String{ Brain = {Brain}}
@String{ ArtifLife = {Artificial Life}}
@String{ Psychopharmacology = {Psychopharmacology}}

@Article{GuntBernBoro:2009,
author = {Gunter, Jeffrey L. and Bernstein, Matt A. and Borowski, Brett J. and
                  Ward, Chadwick P. and Britson, Paula J. and Felmlee, Joel
                  P. and Schuff, Norbert and Weiner, Michael and Jack,
                  Clifford R.},
title = {Measurement of {MRI} scanner performance with the {ADNI} phantom},
year = {2009},
journal = MedPhys,
volume = {36},
number = {6},
pages = {2193--2205},
keywords = {biomedical MRI; diseases; neurophysiology; phantoms},
url = {http://link.aip.org/link/?MPH/36/2193/1},
doi = {10.1118/1.3116776},
abstract = {The objectives of this study are as follows: to describe practical
                  implementation challenges of multisite, multivendor
                  quantitative studies; to describe the MRI phantom and
                  analysis software used in the Alzheimer’s Disease
                  Neuroimaging Initiative (ADNI) study, illustrate the utility
                  of the system for measuring scanner performance, the ability
                  to assess gradient field nonlinearity corrections: and to
                  recover human brain images without geometric scaling errors
                  in multisite studies. ADNI is a large multicenter study with
                  each center having its own copy of the phantom. The design
                  of the phantom and analysis software are presented as
                  results from predistribution systematics studies and results
                  from field experience with the phantom at 58 enrolling ADNI
                  sites over a 3 year period. The estimated coefficients of
                  variation intrinsic to measurements of geometry in a single
                  phantom are in the range of 3–5 parts in 104. Phantom
                  measurements accurately detect linear and nonlinear scaling
                  in images. Gradient unwarping methods are readily assessed
                  by phantom nonlinearity measurements. Phantom-based scaling
                  correction reduces observed geometric drift in human images
                  by one-third or more. Repair or replacement of phantoms
                  between scans, however, is a confounding factor. The ADNI
                  phantom can be used to assess both scanner performance and
                  the validity of postprocessing image corrections in order to
                  reduce systematic errors in human images. Reduced
                  measurement errors should decrease measurement bias and
                  increase statistical power for measurements of rates of
                  change in the brain structure in AD treatment
                  trials. Perhaps the greatest practical value of
                  incorporating ADNI phantom measurements in a multisite study
                  is to identify scanner errors through central
                  monitoring. This approach has resulted in identification of
                  system errors including sites misidentification of their own
                  gradient hardware and the disabling of autoshim, and a
                  miscalibrated laser alignment light. If undetected, these
                  errors would have contributed to imprecision in quantitative
                  metrics at over 25\% of all enrolling ADNI sites.}
}

@Article{RuecSonoHaye:1999,
  author = 	 {Rueckert, Daniel and Sonoda, Luke I. and Hayes, C. and
                  Hill, Derek L. G. and Leach, M. O. and Hawkes, David J.},
  title = 	 {Nonrigid Registration Using Free-Form Deformations:
                  Application to Breast {MR} Images},
  journal = 	 IEEE-TMI,
  year = 	 1999,
  volume =	 18,
  number =	 8,
  pages =	 {712--721},
  month =	 aug,
  abstract =     {In this paper the authors present a new approach for the
                  nonrigid registration of contrast-enhanced breast MRI. A
                  hierarchical transformation model of the motion of the
                  breast has been developed. The global motion of the breast
                  is modeled by an affine transformation while the local
                  breast motion is described by a free-form deformation (FFD)
                  based on B-splines. Normalized mutual information is used as
                  a voxel-based similarity measure which is insensitive to
                  intensity changes as a result of the contrast
                  enhancement. Registration is achieved by minimizing a cost
                  function, which represents a combination of the cost
                  associated with the smoothness of the transformation and the
                  cost associated with the image similarity. The algorithm has
                  been applied to the fully automated registration of
                  three-dimensional (3-D) breast MRI in volunteers and
                  patients. In particular, the authors have compared the
                  results of the proposed nonrigid registration algorithm to
                  those obtained using rigid and affine registration
                  techniques. The results clearly indicate that the nonrigid
                  registration algorithm is much better able to recover the
                  motion and deformation of the breast than rigid or affine
                  registration algorithms.},
  keywords =     {},
  doi =          {10.1109/42.796284}
}

@Article{LeeWolbShin:1997,
  author = 	 {Seungyong Lee and George Wolberg and Sung Yong Shin},
  title = 	 {Scattered Data Interpolation with Multilevel {B}-Splines},
  journal =	 IEEE-TVCG,
  year =	 1997,
  volume =	 3,
  number =	 3,
  pages =	 {228--244},
  month =	 jul,
  abstract =     {The paper describes a fast algorithm for scattered data
                  interpolation and approximation. Multilevel B-splines are
                  introduced to compute a C2 continuous surface through a set
                  of irregularly spaced points. The algorithm makes use of a
                  coarse to fine hierarchy of control lattices to generate a
                  sequence of bicubic B-spline functions whose sum approaches
                  the desired interpolation function. Large performance gains
                  are realized by using B-spline refinement to reduce the sum
                  of these functions into one equivalent B-spline
                  function. Experimental results demonstrate that high
                  fidelity reconstruction is possible from a selected set of
                  sparse and irregular samples.},
  keywords =     {scattered data interpolation, multilevel {B}-splines, data
		  approximation, elastic deformation},
  doi =          {10.1109/2945.620490}
}

@Article{RohlPoli:2012,
  author = 	 {Rohlfing, Torsten and Poline, Jean-Baptiste},
  title = 	 {Why Shared Data Should Not Be Acknowledged On The Author
                  Byline},
  journal = 	 NeuroImage,
  year = 	 2012,
  volume =	 59,
  number =	 4,
  pages =	 {4189--4195},
  month =	 feb,
  abstract =	 {We argue that the emerging practice of using the author
                  byline to acknowledge shared data is incompatible with
                  current established standards for academic
                  authorship. Non-author contributors, whether groups or
                  individuals, should not be added to the author list of
                  published papers. Deviation from these principles devalues
                  authorship and raises issues, such as equal treatment of
                  groups and individuals, credit for shared data vs. other
                  shared resources, and ultimately guest authorship. Such
                  dilution of authorship standards is problematic because it
                  can compromise fair evaluations in the scientific
                  community. We briefly discuss viable alternatives for
                  crediting contributors, such as citations of papers
                  describing shared data, reference to dataset publications,
                  inclusion in the acknowledgements section, or credit of
                  individuals for sharing data in an appendix, a solution that
                  has been used in academic evaluation.},
  keywords    =  {author byline; authorship criteria; data sharing},
  doi =		 {10.1016/j.neuroimage.2011.09.080},
  category =	 {journal},
  PMID =         22008368,
  url =          {http://www.sciencedirect.com/science/article/pii/S1053811911011554}
}

