期刊名称：INVERSE PROBLEMS AND IMAGING
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
With impact factor of 1.119, IPI ranks the top 43rd in Applied Math. IPI is covered in Science Citation Index Expanded, Current Contents/Physical, Chemical & Earth Sciences (CC/PC&ES) ISI Alerting Services, Journal Citation Reports/Science Edition, Math Reviews, MathSciNet, Zentralblatt.
Inverse Problems and Imaging publishes research articles of the highest quality employing innovative mathematical and modeling techniques to study inverse and imaging problems arising in all of the sciences and engineering. Every published paper has a strong mathematical orientation employing methods from such areas as control theory, discrete mathematics, differential geometry, harmonic analysis, functional analysis, integral geometry, mathematical physics, numerical analysis, optimization, partial differential equations, stochastic and statistical methods. The field of applications include medical and other imaging, nondestructive testing, geophysical prospection and remote sensing as well as image analysis and image processing.
This journal is committed to being the record for important new results in its field, and will maintain the highest standards of innovation and quality. To be published in this journal, a paper must be correct, novel, nontrivial and of interest to a substantial number of researchers and readers.
IPI publishes four issues in 2009 in February, May, August and November.
Instructions to Authors
Instructions to Contributors
To expedite the refereeing process, it is strongly recommended that authors send a PDF file of the paper electronically. Manuscripts should be in English and submitted to either the Managing Editor of inverse problems (Matti Lassas) or of imaging (Jianhong Shen). A cover letter ( in pdf) is also required.
Submission of a manuscript is a statement that the work has not been previously published, has not been copyrighted, is not being submitted for publication elsewhere, and that its submission has been approved by all of the authors and by the institution where the work was carried out. The authors agree that the copyright in the article shall be assigned exclusively to the Publisher upon acceptance of the article. The manuscript will not be returned.
Manuscripts should be typed on one side of 8.5 X 11 in (21.5 X 28 cm) white paper, double-spaced, with wide margins. Number each page. Page 1 should contain the title, authors names and complete affiliations. Place any footnotes to the title at the bottom of Page 1. Each paper requires an abstract not exceeding 200 words summarizing the techniques, methods and main conclusions. AMS subject classifications must accompany all articles, placed at the bottom of Page 1 before any other footnotes. Electronic mail addresses, if available, can be placed at the very end of the paper. Each paper requires a separate page containing a proposed running head (abbreviated form of the title) of no more than 40 characters, and the name and mailing address of the author to whom proofs should be sent. Equations should be centered with the number placed in parentheses at the right margin. Figures must be drafted in high resolution and high contrast on separate pieces of white paper, in a form suitable for photographic reproduction and reduction
After a paper is accepted, author(s) may prepare their files using IPI templates and provide high resolution figures (if any) to ensure speedy quality production. The IPI templates (only for accepted papers) consist of the sample latex file and the IPI class file, both of which can be easily down loaded at the above links. Please also see the resulting sample pdf file
The authors of all accepted papers should retrieve a Consent to Publish and Copyright Agreement Form, fill it out, sign and email the pdf of a scanned copy to editorial@aimsciences.org or fax the signed form to (417)-889-0336 or send the hard copy to American Institute of Mathematical Sciences, P.O. Box 2604, Springfield, MO 65801-2604, USA.
References should be listed alphabetically, typed and punctuated according to the following examples:
[1] D. Mumford and J. Shah, Optimal approximations by piecewise smooth functions and associated variational problems, Comm. Pure Applied Math., 5 (1989), 577-685.
[2] D. Colton and R. Kress, "Inverse Acoustic and Electromagnetic Scattering Theory," Springer-Verlag, Berlin 1992.
[3] G. Uhlmann, Developments in inverse problems since Calder贸n's foundational paper, in "Harmonic Analysis and Partial Differential Equations" (ed. E.H. Zarantonello), Academic Press (1971).
For journal abbreviations used in bibliographies, consult the list of serials in the latest Mathematical Reviews annual index.
Manuscripts typeset using AmSTeX (amsppt) or AmS-LaTeX (amsart) can move much more quickly through the production process, hence these two TeX forms are strongly recommended to authors for preparing their manuscripts.
Editorial Board
[ Editor-in-Chief ]
Lassi P盲iv盲rinta
Editor-in-Chief
lassi.paivarinta@helsinki.fi
[ Managing Editors ]
Matti Lassas
ipi@math.tkk.fi
Hao-Min Zhou
hmzhou@math.gatech.edu
[ Editorial Board ]
Giovanni Alessandrini
alessang@univ.trieste.it
Dipartimento di Matematica e Informatica,
Universit脿 degli Studi di Trieste, 34100 Trieste,
Italy,PHONE: 39 040 558 2628, FAX: 39 040 558 2636
Uniqueness and stability of inverse problems for partial
differential equation.
Guillaume Bal
gb2030@columbia.edu
Dept. of Applied Physics & Applied Mathematics Columbia University, S.W. Mudd Building Room 206 500 W. 120th StreetNew York, NY 10027, USA
PDE's, wave propagation, imaging, time reversal, inverse
problems, homogenization, numerical simulations of transport equations, Monte Carlo simulations.
Emmanuel Candes
emmanuel@acm.caltech.edu
California Institute of Technology, Applied &
Computational Mathematics,Mail Code 217-50 Pasadena, CA 91125, USA
Compressive sampling, mathematical signal processing,
computational harmonic analysis, multiscale analysis,
approximation theory, stastistical estimation and detection. Applications to the imaging sciences, scientific computing, and inverse problem.
Antonin Chambolle
antonin@cmapx.polytechnique.fr
CMAP, Ecole Polytechnique 91128 Palaiseau Cedex,
France
Variational methods in image processing, free boundary and free discontinuity problems.
Tony F Chan
chan@math.ucla.edu
Math Dept, UCLA, 405 Hilgard Av., Los Angeles, CA
90095-1555, USA
mathematical image processing, computer vision & computer graphics, computational brain mapping, VLSI physical design optimization, multiscale computational methods.
Yunmei Chen
yun@math.ufl.edu
Department of Mathematics, University of Florida, 458 Little Hall, Gainesville, FL 32611-8105, USA
Partial differential equations; Geometric flows, flow of harmonic maps; PDE-based image processing, medical image analysis.
Margaret Cheney
cheney@rpi.edu
Department of Mathematical Sciences Amos Eaton Hall
Rensselaer Polytechnic Institute 110 Eighth Street Troy, NY 12180, USA
Radar imaging.
David Colton
colton@math.udel.edu
Department of Mathematical Sciences, University of
Delaware,Newark,Delaware 19711, USA
Inverse problems in acoustics and electromagnetism, Scattering theory.
Selim Esedoglu
esedoglu@umich.edu
Department of Mathematics,University of Michigan,2074 East Hall, 530, Church St.Ann Arbor, MI 48109, USA
Image processing; computer vision; partial differential
equations; calculus of variations; scientific computing.
Mathias Fink
mathias.fink@espci.fr
Laboratoire Ondes et Acoustique,ESPCI, 10 rue
Vauquelin, 75005 Paris, France
Propagation acoustique dans les milieux al茅atoires, diffusion multiple, interaction son-vorticit茅, focalisation adaptative en milieu h茅t茅rog猫ne, miroirs 脿 retournement temporel, imagerie m茅dicale ultrasonore.
Victor Isakov
victor.isakov@wichita.edu
Deptartment of Mathematics and Statistic Wichita State
University Wichita,KS 67260--0033, USA
Analytical aspects (uniqueness, stability) of inverse problems in partial differential equations, Carleman estimates, Inverse gravimetry, conductivity problems, and scattering theory,
Inverse option pricing.
Hiroshi Isozaki
isozakih@math.tsukuba.ac.jp
Institute of Mathematics University of Tsukuba Tsukuba, Ibaraki 305-8571, Japan
Scattering theory, Schr枚dinger operators, Inverse scattering problems, Inverse boundary value problems.
Jari Kaipio
jari@math.auckland.ac.nz
Department of Mathematics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
and
Department of Physics, University of Kuopio, P.O.B. 1627,
FI-70211 Kuopio, Finland
Statistical and computational inverse problems, nonstationary problems; electrical impedance and other diffuse tomography problems.
Andreas Kirsch
kirsch@math.uni-karlsruhe.de
Mathematisches Institut II Universitaet Karlsruhe, 76128, Karlsruhe, Germany
Scattering theory. Acoustic and electromagnetic inverse problems.
Jean-Michel Morel
morel@cmla.ens-cachan.fr
Centre de Mathematiques et de Leurs Applications 61
Avenue du President Wilson 94235 Cachan cedex, France
Mathematical theory of visual perception.
George Papanicolaou
papanicolaou@stanford.edu
Mathematics Department,Stanford University,Stanford,
CA 94305, USA
Wave propagation in inhomogeneous or random media,
diffusion in porous media, inverse problems, multiscale
phenomena, communication, financial mathematics.
William Rundell
rundell@math.tamu.edu
Department of Mathematics Texas A&M University
College Station, Tx 77843, USA
Inverse spectral problems, obstacle scattering problems, computational algorithms.
Naoki Saito
saito@math.ucdavis.edu
Department of Mathematics, University of California,
Davis, CA, 95616, USA
Applied and computational harmonic analysis;statistical
signal/image processing and analysis; geophysical inverse problems; human and machine perception; computational neuroscience.
Fadil Santosa
santosa@math.umn.edu
School of Mathematics, UMN 206 Church Street, SE
Minneapolis, MN 55455, USA
Optics, Photonic bandgaps, optimal design, electrical
impedance imaging, level set method, image processing.
Otmar Scherzer
Otmar.Scherzer@uibk.ac.at
University of Innsbruck Institut f眉r Informatik
Technikerstr. 21a 6020 Innsbruck, Austria
Inverse Problems, Thermo Acoustics, Regularization, Image Processing, Calculus of Variations.
John Schotland
schotland@seas.upenn.edu
Department of Bioengineering School of Engineering &
Applied Science University of Pennsylvania 120 Hayden
Hall, 3320 Smith Walk Philadelphia, PA 19104, USA
Theoretical optical physics with applications to biomedical
imaging and nano-optics, including optical tomogrphy, optical s imaging of nanoscale systems; Inverse scattering problems.
Jin Keun Seo
seoj@yonsei.ac.kr
Department of Mathematics, Yonsei University,
Seodeamoon-gu, Seoul 120-749, South Korea
Inverse problems, harmonic analysis, electrical impedance tomography, PDE-based image Processing,mathematical modelling.
Zuowei Shen
matzuows@nus.edu.sg
Department of Mathematics, National University of Singapore
Approximation and wavelet Theory; Gabor and wavelet
frames; image and data restorations.
Barry Simon
bsimon@caltech.edu
California institute of Technology, Department of
Mathematics,Pasadena, Ca 91125, USA
Approximation and wavelet Theory, Gabor and wavelet
frames, applications in imaging sciences.
Erkki Somersalo
erkki.somersalo@case.edu
Department of Mathematics, Case Western Reserve
University, Yost Hall 213, Cleveland, Ohio 44106, USA
Statistical and Computational Inverse Problems.
Xuecheng Tai
tai@math.uib.no
Division of Mathematical Sciences, SPMS, Nanyang
Technological University,Singapore and Department of
Mathematics, University of Bergen, Norway
PDE and variational methods for image processing,
numericalanalysis for PDES, inverse problems, parameter estimation.
Paul Thompson
thompson@loni.ucla.edu
Laboratory of Neuro Imaging, 635 Charles Young Drive,
Neuroscience Research, Building 225E, UCLA School of
Medicine, Los Angeles, CA 90024, USA
Medical image analysis; image registration and segmentation; brain mapping, neuroimaging, MRI, PET, diffusion tensor imaging; image processing, computer vision, machine learning.
Gunther Uhlmann
gunther@math.washington.edu
Department of Mathematics C-556 Padelford Hall, Box
354350 Seattle, Washington 98195-4350, USA
Inverse problems for partial differential equations, Inverse problems in geometry, Microlocal analysis.
Luminita Vese
lvese@math.ucla.edu
MS 7620-D Mathematical Sciences Building University of
California, Los Angeles, Department of Mathematics, 405 Hilgard Avenue Los Angeles, CA 90095-1555, USA
Variational and PDE methods in image processing, analysis, segmentation, level set methods, texture modeling, scientific computing.
Ricardo Weder
weder@servidor.unam.mx
Instituto de Investigaciones en Matem谩ticas Aplicadas y en
Sistemas. Universidad Nacional Aut贸noma de M茅xico.
Apartado Postal 20-726. M茅xico D.F. 01000, M茅xico
Quantum mechanics. Schroedinger operators. Classical wave propagation. Direct and Inverse Scattering. Inverse spectral problems.
Joachim Weickert
weickert@mia.uni-saarland.de
Faculty of Mathematics and Computer Science Saarland University, Building E1 1 (former 36.1) 66041,
Saarbr眉cken, Germany
Image processing, computer vision, partial differential
equations, and scientific computing.
Maciej Zworski
zworski@Math.Berkeley.EDU
University of California, Berkeley, Department of
Mathematics,970 Evans Hall #3840, Berkeley,CA 94720-
3840, USA
Inverse problems and resonances.
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