IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA10)

In conjunction with CVPR 2010, San Francisco, CA.


  • 05/20: Each oral paper gets 25 minutes (20+5 minutes for questions) of presentation time.
  • 05/20: The physical dimensions of the poster boards that will be available this year are 8 feet wide by 4 feet high. Please prepare your posters accordingly.
  • 04/29: Workshop program announced
  • 04/25: Acceptance of papers is announced
  • 04/15: Decisions will be communicated to the authors directly. Please check the submission system for the updates.
  • 03/01: Submission deadline has been extended to March 21st, 2010


Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 is the eleventh in a series of workshops on biomedical image analysis, being held in conjunction with CVPR 2010. This workshop is devoted to the presentation and discussion of new developments in computational techniques for the analysis of biomedical images. Our goal is to foster discussion of mathematical approaches to biomedical image analysis and modeling. The program will consist of previously unpublished, contributed, and invited papers, with a substantial time allocated to discussion. In addition, we encourage submissions that address novel problems in bio/medical imaging that call for mathematical modeling or analysis.

Key Dates:
  • Paper Submission: March 14, 2010  March 21, 2010
  • Notification of Acceptance: April 15, 2010
  • Camera-ready Version: April 22, 2010
  • Workshop:June 14, 2010

Call For Papers

Biomedical image analysis is a fast evolving field driven by the advancement of imaging modalities and high content screening techniques. Many clinical applications are also emerging that use biomedical image processing for decision support. The different types of modality images present considerable challenges and opportunities for the development of novel analysis algorithms. The workshop will provide an interdisciplinary forum for researchers involved in all aspects of the biomedical images analysis, with the focus on new developments in computational techniques for the analysis of biomedical image data. Our goal is to foster discussion of mathematical approaches to biomedical image analysis and modeling in a more focused manner than can be addressed in the main tracks of the CVPR conference.

The workshop will bring together researchers in computational vision, medical imaging, computational biology, graphics and robotics communities interested in problems that involve mathematical modeling or analysis in biomedical images. Unlike previous workshops, we will expand the scope of the biomedical images to include not only medical imaging data but also exciting molecular and cellular imaging data arising from confocal microscopes. It calls for original, high-quality submissions that address innovative research and development of biomedical image analysis. The final program will consist of previously unpublished and contributed papers, with substantial time allocated to discussion.

Topics of interests include but are not limited to:

  • Multimodal Analysis
  • 2D/3D/4D Registration
  • Multidimensional Segmentation
  • Computational Anatomical Atlases
  • Classification Methods for Biomedical Data
  • Biomedical Image Motion Analysis
  • Biomedical Image Reconstruction Methods
  • Real-time algorithms for Biomedical Data Analysis using GPUs
  • Multidimensional Data Visualization
  • Feature Extraction and Pattern Recognition
  • Quantitative Imaging Biomarkers
  • Microarray Image Analysis
  • Evaluation Methods for Biomedical Data
  • Image/Curve/Surface/Volume Registration
  • Snakes, Splines and Deformable Models
  • PDE-based Methods of Image Analysis
  • Biomedical Image Motion Analysis
  • Multidimensional Data Visualization
  • Molecular and cellular image analysis
  • Image Guided Surgery/Therapy
  • Biomedical Image Databases / Biomedical Image Retrieval
  • Diffusion Tensor Image Analysis
  • Innovative Applications


Confirmed Speaker:

Tentative Agenda:

  • 8:45am - 8:55am Opening Remarks
  • 8:55am - 10:10am Oral Session 1: Brain Segmentation and fMRI Analysis
         Session Chair: Hayit Greenspan
  1. Topology-Preserving STAPLE
    John Bogovic* (JHU), Pierre-Louis Bazin (JHU), Jerry Prince (JHU)
  2. A supervised clustering approach for extracting predictive information from brain activation images
    Vincent Michel* (INRIA), Evelyn Eger (NeuroSpin), Christine Keribin (INRIA), Jean-Baptiste Poline (NeuroSpin), Bertrand Thirion (INRIA)
  3. Nonparametric Hierarchical Bayesian Model for Functional Brain Parcellation
    Danial Lashkari* (MIT), Ramesh Sridharan (MIT), Edward Vul (MIT), Po-Jang Hsieh (MIT), Nancy Kanwisher (MIT), Polina Golland (MIT)
  • 10:10am-10:30am Coffee Break
  • 10:30am-11:30pm Invited Talk: Prof. Mark Ellisman, UCSD
  • 11:30am-12:45pm Oral Session 2: Registration and Atlas Methods
        Session Chair: William M. Wells
  1. Structural Image Representation for Image Registration
    Christian Wachinger* (TU Munchen), Nassir Navab (TU Munchen)
  2. An MRF-based Statistical Deformation Model for Morphological Image Analysis
    Jesus Caban* (NIH), Penny Rheingans (UMBC), Terry Yoo (NIH)
  3. An EM Algorithm for Brain Tumor Image Registration: A Tumor Growth Modeling Based Approach
    Ali Gooya*, (UPENN), George Biros (Georgia Tech), Christos Davatzikos (UPENN)
  • 12:45pm-2:00pm Lunch
  • 2:00pm-3:30pm Poster Session
  1. Groupwise Morphometric Analysis Based on High Dimensional Clustering
    Dong Hye Ye* (UPENN), Kilian Pohl (IBM Research - Almaden), Harold Litt (UPENN), Christos Davatzikos (UPENN)
  2. Synthesis of Stereoscopic Views from Monocular Endoscopic Videos
    Jin Zhou, Qiang Zhang, Baoxin Li* (Arizona State University), Ananya Das (Mayo Clinic)
  3. Robust Feature Selection in Resting-State fMRI Connectivity Based on Population Studies
    Archana Venkataraman* (MIT*, Marek Kubicki (Harvard), Carl-Fredrik Westin (Harvard) Polina Golland (MIT)
  4. Tracking of Cell Population from Time Lapse and End Point Confocal Microscopy Images with Multiple Hypothesis Kalman Smoothing Filters
    Lee-Ling Ong* (Singapore-MIT Alliance ), Marcelo Ang (National University of Singapore), Harry Asada (MIT)
  5. Two-Point Correlation as a Feature for Histology Images: Feature Space Structure and Correlation Updating
    Lee Cooper* (Emory University), Joel Saltz (Emory University), Raghu Machiraju (Ohio State University), Kun Huang (Ohio State University)
  6. Local Concept-Based Medical Image Retrieval with Correlation-Enhanced Similarity Matching Based on Global Analysis
    Mahmudur Rahman* (NLM/NIH), Sameer Antani (NIH), George Thoma (NIH)
  7. Direction Field Diffusion on Cortical Surface via Graph Cuts
    Gang Li* (Northwestern Polytechnical University), Lei Guo, Jingxin Nie, Kaiming Li (Northwestern Polytechnical University), Tianming Liu (UGA)
  8. Predicting the Histology of Colorectal Lesions in a Probabilistic Framework
    Roland Kwitt* (University of Salzburg*, Andreas Uhl (University of Salzburg), Alfred Gangl (Medical University of Vienna), Andreas Vecsei (St. Anna Childrens Hospital), Michael Hafner (Medical University of Vienna), Friedrich Wrba (Medical University of Vienna)
  9. A Mutual-Information Scale-space for Image Feature Detection and Feature-based Classification of Volumetric Brain Images
    Matthew Toews* (Harvard), William Wells III (Harvard)
  10. Aligning Endoluminal Scene Sequences in Wireless Capsule Endoscopy
    Michal Drozdzal* (UB), Laura Igual (UB), Jordi Vitria (UB), Carolina Malagelada (University Hospital Vall dHebron), Fernando Azpiroz (University Hospital Vall dHebron), Petia Radeva (UB)
  11. Stability Effects of Finite Difference Methods on a Mathematical Tumor Growth Model
    Parisa Mosayebi* (University of Alberta), Dana Cobzas (University of Alberta), Martin Jagersand (University of Alberta), Alberta Murtha (University of Alberta)
  12. Constrained Non-rigid Registration Using Lagrange Multipliers for Application in Prostate Radiotherapy
    Chao Lu* (Yale), Sudhakar Chelikani (Yale), Xenophon Papademetris (Yale), lawrence Staib (Yale), James Duncan (Yale)
  13. Learning high-dimensional image statistics for abnormality detection on medical images
    Guray Erus* (UPENN), Christos Davatzikos (UPENN), Evangelia Zacharaki (University of Patras), Nick Bryan (UPENN)
  14. Application of Trace-Norm and Low-Rank Matrix Decomposition for Computational Anatomy
    Nematollah Batmanghelich* (UPENN), Ali Gooya (UPENN), Stathis Kanterakis (UPENN), Ben Taskar (UPENN), Christos Davatzikos (UPENN)
  15. Graph-based tracking of tongue contour in ultrasound sequences with adaptive temporal regularization
    Lisa Tang* (SFU, Canada), Ghassan Hamarneh (SFU, Canada)
  16. Cardiac Disease Detection from Echocardiogram using Edge Filtered Scale-invariant Motion Features
    Ritwik Kumar* (Harvard), Fei Wang (IBM Research - Almaden), David Beymer (IBM Research - Almaden), Tanveer Syeda-Mahmood (IBM Research - Almaden)
  • 3:30pm-4:00pm Coffee Break
  • 4:00m -5:40pm Oral Session 3: Vascular and Cellular Imaging
        Session Chair: Fei Wang
  1. Directional Mean Shift and its Application for Topology Classification of Local 3D Structures
    Mehran Kafai* (UCR), Kazunori Okada (SFSU), Yiyi Miao (SFSU)
  2. Vascular Tree Reconstruction by Minimizing A Physiological Functional Cost
    Yifeng Jiang* (Yale), Zhenwu Zhang (Yale), Albert Sinusas (Yale), Xenophon Papademetris (Yale)
  3. Radon-Like Features and their Application to Connectomics
    Ritwik Kumar* (Harvard), Amelio Vazquez-Reina (Harvard), Hanspeter Pfister (Harvard)
  4. Structural Correspondence as A Contour Grouping Problem
    Elena Bernardis* (UPENN), Stella Yu (Boston College)
  • 5:40pm-5:45pm Closing Remarks


MMBIA2010 will be held in conjunction with CVPR 2010. Please refer to the CVPR 2010 website for the location, registration and accommodation information.

For comments and questions, please contact mmbia10 at gmail at com.


Paper Formatting: Papers are limited to eight pages. Please use the CVPR author kit to format the papers. The workshop chairs reserve the right to reject papers violating the paper length and the formatting instructions outright, without review.

Blind review: MMBIA reviewing is double blind: authors do not know the names of the reviewers of their papers, and reviewers do not know the names of the authors. Please see the author kit for detailed explanations of how to ensure this.

Submission: MMBIA is using an online submission system .

Supplemental material: Supplemental material submission is optional. This material may include: videos of results that cannot be included in the main paper, anonymized related submissions to other conferences and journals, and appendices or technical reports containing extended proofs and mathematical derivations that are not essential for understanding of the paper. Contents of the supplemental material should be referred to appropriately in the paper and that reviewers are not obliged to look at it. For further details refer to CVPR author guidelines.

Simultaneous submissions: Our policy is that in submitting a paper, authors implicitly acknowledge that no paper of substantially similar content has been or will be submitted to another conference or workshop until MMBIA decisions are made.

Final submission: MMBIA is using the same site for the final submission. Please follow the instructions here to make the final submission.

Program Committee

  • Dan Adam, Technion
  • David Beymer, IBM Research
  • Vince Calhoun, University of New Mexico
  • Gary Christensen, Univ. of Iowa
  • Albert Chung, Hong Kong Univ. of Sc. and Tech.
  • James Duncan, Yale Univerity
  • Christos Davatzikos, UPENN
  • Alejandro F. Frangi, Universitat Pompeu Fabra, Spain
  • Martin Groher, Technical University of Munich
  • Georg Langs, MIT
  • Bing Jian, Siemens Medical Solutions
  • Sarang Joshi, Univ. of Utah
  • Ron Kikinis, Harvard
  • Ritwik Kumar, Harvard
  • Frederik Maes, Katholieke Universiteit Leuven, Belgium
  • Nassir Navab, Technical University of Munich
  • J. Alison Noble, Univ. of Oxford
  • Xenophon Papademetris, Yale
  • Nikos Paragios, Ecole Centrale de Paris
  • Xavier Pennec, INRIA
  • Jerry Prince, John Hopkins
  • Daniel Rueckert, Imperial College London
  • Linda Shapiro, Univ. of Washington
  • Dinggang Shen, UNC
  • Pengsheng Shi, RIT
  • Yonggang Shi, UCLA
  • Kenji Suzuki, University of Chicago
  • Nir Sochen, Univ. of Tel Aviv
  • Larry Staib, Yale
  • Hemant Tagare, Yale
  • Xiaodong Tao, GE Global Research
  • Demetri Terzopoulos, NYU
  • Ragini Verma, UPENN
  • Chenyang Xu, SIEMENS
  • Pingkun Yan, Philips Research

Previous Meeting

  • 2009 Miami, Florida
  • 2008 Anchorage, Alaska
  • 2007 Rio de Janeiro, Brasil (in conjunction with ICCV)
  • 2006 New York City, New York
  • 2004 Prague, Czech Republic (in conjunction with ECCV)
  • 2001 Kauai, Hawaii
  • 2000 South Carolina, USA
  • 1998 Santa Barbara, California
  • 1996 San Francisco, California
  • 1994 Seattle, Washington