Publications using IBSR Data

1998

Feng, M., Wenping, W., Wai Wan, T., Zesheng, T., Shaowei, X. and Xin, T. (1998). Probabilistic segmentation of volume data for visualization using SOM-PNN classifier. Volume Visualization, 1998. IEEE Symposium on.

Rajapakse, J. C. and Kruggel, F. (1998). "Segmentation of MR images with intensity inhomogeneities." Image And Vision Computing 16(3): 165-180.

1999

Frederik, M., Koen Van, L., Lynn, E. D., Dirk, V. and Paul, S. (1999). Quantification of Cerebral Grey and White Matter Asymmetry from MRI. Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag.

Xiaolan, Z., Staib, L. H., Schultz, R. T. and Duncan, J. S. (1999). "Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation." Medical Imaging, IEEE Transactions on 18(10): 927-937.

2000

Duncan, J. S. and Ayache, N. (2000). "Medical image analysis: progress over two decades and the challenges ahead." Pattern Analysis and Machine Intelligence, IEEE Transactions on 22(1): 85-106.

Erik, D. and Mads, N. (2000). Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation. Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention %@ 3-540-41189-5, Springer-Verlag: 216-225.

Kaufhold, J. P. (2000) Energy Formulations of Medical Image Segmentations. Doctoral Thesis. Boston University College of Engineering, Department of Biomedical Engineering, Boston, MA.

Likar, B. (2000) Registration and Restoration of Medical Images. Ph.D. Thesis. University of Ljubljan, Faculty of Electrical Engineering, Ljubljana, Slovenia.

Likar, B., Maintz, J. B., Viergever, M. A. and Pernus, F. (2000). "Retrospective shading correction based on entropy minimization." J Microsc 197 ( Pt 3): 285-95.

2001

Chalana, V., Ng, L., Rystrom, L. R., Gee, J. C. and Haynor, D. R. (2001). Validation of brain segmentation and tissue classification algorithm for T1-weighted MR images. Medical Imaging 2001: Image Processing.

Likar, B., Viergever, M. A. and Pernus, F. (2001). "Retrospective correction of MR intensity inhomogeneity by information minimization." IEEE Trans Med Imaging 20(12): 1398-410.

Lin, Y., Tian, J. and He, H. (2001). "Image segmentation via fuzzy object extraction and edge detection and its medical application." Journal of X-Ray Science and Technology Special Issue on Clinical Applications of Modern Imaging 10(1-2): 95-106.

Shattuck, D. W., Sandor-Leahy, S. R., Schaper, K. A., Rottenberg, D. A. and Leahy, R. M. (2001). "Magnetic resonance image tissue classification using a partial volume model." Neuroimage 13(5): 856-76.

Zhang, Y., Brady, M. and Smith, S. (2001). "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm." Medical Imaging, IEEE Transactions on 20(1): 45-57.

2002

Atkins, M. S., Siu, K., Law, B., Orchard, J. J. and Rosenbaum, W. L. (2002). Difficulties of T1 brain MRI segmentation techniques. Medical Imaging 2002: Image Processing, San Diego, CA, USA, SPIE.

Brinkley, J. and Rosse, C. (2002). "Imaging Informatics and the Human Brain Project: the Role of Structure." Methods of Information in Medicine 41(2): 131--148.

Jasit, S. S., Sameer, S., Setarehdan, S. K., Rakesh, S., Keir, B., Dorin, C. and Laura, R. (2002). A note on future research in segmentation techniques applied to neurology, cardiology, mammography and pathology. Advanced algorithmic approaches to medical image segmentation: state-of-the-art application in cardiology, neurology, mammography and pathology, Springer-Verlag New York, Inc.: 559-572.

Nielsen, C. F. and Passmore, P. J. (2002). Robust semi-automatic segmentation of single- and multichannel MRI volumes through adaptable class-specific representation. Medical Imaging 2002: Image Processing, San Diego, CA, USA, SPIE.

Pommert, A. and Heinz Hoehne, K. (2002). Evaluation of Image Quality in Medical Volume Visualization: The State of the Art. Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II. Tokyo, Japan, Springer-Verlag: 598-605.

Shan, Z. Y., Yue, G. H. and Liu, J. Z. (2002). "Automated histogram-based brain segmentation in T1-weighted three-dimensional magnetic resonance head images." Neuroimage 17(3): 1587-98.

Suri, J. S., Singh, S. and Reden, L. (2002). "Fusion of Region and Boundary/Surface -Based Computer Vision and Pattern Recognition: Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation (Part-II) A State-of-the-Art Review." Pattern Analys is & Applications 5(1): 77 - 98.

2003

Dam, E. (2003) Committing Medical Image Analysis. Ph.D. Disssertation. The IT University of Copenhagen,

Hartkens, T., Hill, D. L., Castellano-Smith, A. D., Hawkes, D. J., Maurer, C. R., Jr., Martin, A. J., Hall, W. A., Liu, H. and Truwit, C. L. (2003). "Measurement and analysis of brain deformation during neurosurgery." IEEE Trans Med Imaging 22(1): 82-92.

Joachim, B. (2003) A Markov Chain Monte Carlo Algorithm for the Segmentation of T1-MR-Images of the Head. Deploma Thesis. Technische Universitaet Muenchen, Fakultaet fuer Mathematik.

John, N. M., Kabuka, M. R. and Ibrahim, M. O. (2003). "Multivariate statistical model for 3D image segmentation with application to medical images." J Digit Imaging 16(4): 365-77.

Morra, L., Lamberti, F. and Demartini, C. (2003). A neural network approach to unsupervised segmentation of single-channel MR images. Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on.

Rohlfing, T., Russakoff, D. B. and Jr, C. R. M. (2003). Extraction and Application of Expert Priors to Combine Multiple Segmentations of Human Brain Tissue. Medical Image Computing and Computer-Assisted Intervention.

Yoon, U., Lee, J.-M., Kim, J.-H., Kim, I. Y. and Kim, S. I. (2003). A Comparison of Automated and Semi-automated Skull-stripping Algorithms: Simulated Phantom and Real Data In. Human Brain Mapping, New York, NY.

Zhuge, Y., Liu, J. and Udupa, J. K. (2003). Membership-based multiprotocol MR brain image segmentation. Medical Imaging 2003: Image Processing, San Diego, CA, USA, SPIE.

2004

Chiverton, J., Wells, K. and Johnson, D. (2004). A Partial Volume 3-D Gradient Magnitude Model. Conference Proceedings in Medical Image Understanding and Analysis (MIUA), Imperial College, London, UK, BMVA Press.

Karimi, M. M., Batmanghelich, N., Soltanian-Zadeh, H. and Lucas, C. (2004). A 3-D deformable surface method for automatic hippocampus-amygdala complex segmentation. Nuclear Science Symposium Conference Record, 2004 IEEE.

Pham, D. L. and Prince, J. L. (2004). Robust unsupervised tissue classification in MR images. Biomedical Imaging: Macro to Nano, 2004. IEEE International Symposium on.

Prastawa, M., Gilmore, J., Lin, W. and Gerig, G. (2004). Automatic Segmentation of Neonatal Brain MRI. Medical Image Computing and Computer Assisted Intervention.

Qingmao, H. and Nowinski, W. L. (2004). Knowledge-driven extraction of the four modified Talairach cortical landmarks (A, P, L, and R) from MR neuroimages. Bioinformatics and Bioengineering, 2004. BIBE 2004. Proceedings. Fourth IEEE Symposium on.

Songyuan, T. and Tianzi, J. (2004). Nonrigid registration of medical image by maxwell model of viscoelasticity. Biomedical Imaging: Macro to Nano, 2004. IEEE International Symposium on.

Tang, S. and Jiang, T. (2004). "Nonrigid registration of medical image by linear singular blending techniques." Pattern Recognition Letters 25(4): 399.

Tang, S. and Jiang, T. (2004). Fast nonrigid medical image registration by fluid model. 6th Asia Conference on Computer Vision, Jeju, Korea.

Zeydabadi, M., Zoroofi, R. A. and Soltanian-Zadeh, H. (2004). Multiresolution automatic segmentation of T1-weighted brain MR images. Biomedical Imaging: Macro to Nano, 2004. IEEE International Symposium on.

Zeydabadi, M., Zoroofi, R. A. and Soltanian-Zadeh, H. (2004). Automatic segmentation of brain tissues from MR brain images with Wavelet transform and the EM algorithm. Proceedings of 11th Iranian Conference on Biomedical Engineering (ICBME2004).

Zeydabadi, M., Zoroofi, R. A. and Soltanian-Zadeh, H. (2004). Improving the automatic PC based segmentation of MR brain images with the Wavelet transform and EM algorithm. Proceedings of 9th annual computer society of Iran computer conference.

Zeydabadi-nejad, M., Zoroofi, R. A. and Soltanian-Zadeh, H. (2004). "Comparison of the three Guassian mixture modeling and spatial encoding methods for segmenting human brain MRI." WSEAS Trans. On Electronics 1(3): 482-487.

Zeydabadinezhad, M., Soltanian-Zadeh, H. and Zoroofi, R. A. (2004). Brain MR image segmentation by Gaussian mixture modeling. Proceedings of IEEE 2nd GCC Conference & Exhibition.

2005

Ciofolo, C. and Barillot, C. (2005). Brain Segmentation with Competitive Level Sets and Fuzzy Control. Proceedings of Information Processing in Medical Imaging, Glenwood Springs, Colorado.

Fennema-Notestine, C., Ozyurt, I. B., Clark, C. P., Morris, S., Bischoff-Grethe, A., Bondi, M. W., Jernigan, T. L., Fischl, B., Segonne, F., Shattuck, D. W., Leahy, R. M., Rex, D. E., Toga, A. W., Zou, K. H. and Brown, G. G. (2005). "Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location." Hum Brain Mapp.

Gudla, P. R. (2005) Texture-based segmentation and finite element mesh generation for heterogeneous biological image data. Ph.D. Thesis. University of Maryland at College Park, Biological Resources Engineering.

Huiguang, H., Tian, J., Lin, Y. and Lu, K. (2005). A New Interactive Segmentation Scheme Based on Fuzzy Affinity and Live-Wire. Fuzzy Systems and Knowledge Discovery, Changsha, China, Springer.

Joshi, N. B. and Brady, M. (2005). A non-parametric mixture model for partial volume segmentation of MR images. Proceedings of British Machine Vision Conference - BMVC.

Litvin, A. and Karl, W. C. (2005). Coupled shape distribution-based segmentation of multiple objects. Proceedings of Information Processing in Medical Imaging, Glenwood Springs, Colorado.

Montgomery, D. and Amira, A. (2005). Automated Multiscale Segmentation of Oncological Cerebral MR Image Volumes. International Computer Systems & Information Technology Conference, Algiers, Algeria.

Rohlfing, T. and Maurer, C. R. (2005). Shape-based averaging for combination of multiple segmentations. Medical Image Computing and Computer-Assisted Intervention, Palm Springs, CA, Springer-Verlag.

Rohlfing, T. and Maurer, C. R. (2005). "Multi-classifier framework for atlas-based image segmentation." Pattern Recognition Letters 26(13): 2070-2079.

Roy, S. (2005) A Study on Data Mining Techniques and its Application in Medical Imagery. Masters Thesis. Tezpur University, Assam, INDIA.

Shen, S., Sandham, W., Granat, M. and Sterr, A. (2005). "MRI Fuzzy Segmentation of Brain Tissue Using Neighborhood Attraction With Neural-Network Optimization." Information Technology in Biomedicine, IEEE Transactions on 9(3): 459-467.

Solomon, J., Butman, J. A. and Sood, A. (2005). Segmentation of Objects in Temporal Images Using the Hidden Markov Model. Proceedings of the IEEE International Conference on Image Processing 2005.

Wu, J. and Chung, a. C. S. (2005). Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation. The Eighth International Conference on Medical Image Computing and Computer-Assisted Intervention, Palm Springs, California.

Zhao, Z., Aylward, S. and K, T. E. (2005). A Novel 3D Partitioned Active Shape Model for Segmentation of Brain MR images. Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag.

Zhao, Z. and Teoh, E. K. (2005). A novel framework for automated 3D PDM construction using deformable models. Medical Imaging 2005: Image Processing, San Diego, CA, USA, SPIE.

Zhou, J. and Rajapakse, J. C. (2005). "Subcortical structure segmentation using fuzzy templates." Neuroimage: (In press).

2006

Bossa, M. ı. N. and Olmos, S. (2006). Statistical model of similarity transformations: building a multi-object pose model of brain structures. MMBIA 2006: IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, New York, NY, USA.

Zhuang, A. H., Valentino, D. J. and Toga, A. W. (2006). "Skull-stripping magnetic resonance brain images using a model-based level set." Neuroimage.