Introduction

I am a Research Asst. Professor at Computational Biomedicine Lab, Department of Computer Science , University of Houston, Texas.

^ TOP

Publications

Books and Book Chapters

• I.A. Kakadiaris, U. Kurkure, A. Bandekar, S.M. O'Malley, and M. Naghavi, "Cardiovascular Informatics," in Handbook of Biomedical Imaging, N. Paragios, N. Ayache, and J. Duncan, Eds. Springer, 2010 (In Press).

 

Journal Articles

• U. Kurkure, D. Chittajallu, G. Brunner, R. Yalamanchili, and I.A. Kakadiaris. A supervised classification-based method for coronary calcium detection in non-contrast CT. International Journal of Cardiovascular Imaging, 2009 (In Press).
• G. Brunner, D.R. Chittajallu, U. Kurkure, and I.A. Kakadiaris. Toward the automatic detection of coronary artery calcification in non-contrast Computed Tomography data. International Journal of Cardiovascular Imaging, 2009 (In Press).
• U. Kurkure, A. Pednekar, R. Muthupillai, S. Flamm, and I.A. Kakadiaris. Localization and segmentation of left ventricle in cardiac cine-MR images. IEEE Transactions on Biomedical Engineering, 56(5):1360-1370, May 2009.
• A. Pednekar, U. Kurkure, R. Muthupillai, S. D. Flamm, and I. A. Kakadiaris, Automated Left Ventricular Segmentation in Cardiac MRI. IEEE Transactions on Biomedical Engineering, 53(7):1425-1428, July 2006.

 

Refereed Conference Articles

• R. Yalamanchili, U. Kurkure, D. Dey, D.S. Berman, and I.A. Kakadiaris. Knowledge-based Quantification of Pericardial Fat in Non-Contrast CT Data. In Proc. Society of Photographic Instrumentation Engineers Medical Imaging Conference, San Diego, California, Feb. 13-18 2010 (In Press).
• O.C. Avila-Montes, U. Kurkure, and I.A. Kakadiaris. Aorta segmentation in non-contrast cardiac CT Images using an entropy-based cost function. In Proc. Society of Photographic Instrumentation Engineers Medical Imaging Conference, San Diego, California, Feb. 13-18 2010 (In Press)
• D. Chittajallu, G. Brunner, U. Kurkure, R. Yalamanchili, and I.A. Kakadiaris. Fuzzy-cuts: A knowledge-driven graph-based method for medical image segmentation. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, Jun. 20-25 2009.
• U. Kurkure, D. Chittajallu, G. Brunner, R. Yalamanchili, and I.A. Kakadiaris. Detection of coronary calcifications using supervised hierarchical classification. Proc. of 2nd MICCAI Workshop on Computer Vision for Intravascular and Intracardiac Imaging, New York, NY, Sept. 10, 2008.
• G. Brunner, D. R. Chittajallu, U. Kurkure, I.A. Kakadiaris. A Heart-centered coordinate system for the detection of coronary artery zones in non-contrast Computed Tomography data. Proc. of 2nd MICCAI Workshop on Computer Vision for Intravascular and Intracardiac Imaging, New York, NY, Sept. 10, 2008.
• G. Brunner, U. Kurkure, D. Chittajalu, R. Yalamanchili, and I.A. Kakadiaris. Toward unsupervised classification of calcified arterial lesions. In Proc. 11th International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 144-152, New York, NY, Sept. 6-10, 2008.
• U. Kurkure, O. Avila-Montes, and I. Kakadiaris. Automated segmentation of thoracic aorta in non-contrast CT images. In Proc. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 29-32, Paris, France, May 14-17, 2008.
• Amol Pednekar, Uday Kurkure, Raja Muthupillai, Scott D. Flamm, and Ioannis A. Kakadiaris. Left ventricular segmentation in MR using hierarchical multi-class multi-feature fuzzy connectedness. Proc. of the Medical Image Computing and Computer-Assisted Intervention (MICCAI 04), pp 402-410, Rennes, France, Sept. 26-30, 2004.
• A. Pednekar, I.A. Kakadiaris, U. Kurkure, R. Muthupillai, and Scott D. Flamm. Validation of automatic computation of ejection fraction. Proc. of the Medical Image Computing and Computer-Assisted Intervention (MICCAI 03), pp. 987-988, Toronto, Canada, Nov. 16-18, 2003.
• A. Pednekar, I.A. Kakadiaris, U. Kurkure, R. Muthupillai, and S.D. Flamm. Intensity and morphology-based energy minimization for the automatic segmentation of the myocardium. Proc. of the IEEE Workshop on Variational and Level Set Methods (VLSM 03), pp. 185-192, Nice, France, Oct. 11-12, 2003.
• Amol Pednekar, Ioannis A. Kakadiaris, Uday Kurkure. Adaptive fuzzy connectedness-based medical image segmentation. Proc. of the Indian Conf. on Computer Vision, Graphics, and Image Processing (ICVGIP 02), pp.457-462, Ahmedabad, India, Dec. 16-18 2002.

 

Abstracts

• A. Pednekar, U. Kurkure, I. A. Kakadiaris, R. Muthupillai, and S. D. Flamm. Automatic myocardial segmentation using short axis cine-bFFE MR images. Proc. Houston Conf. on Biomedical Engineering Research (21), pp. 68, Houston, TX, Feb. 12-13, 2004.

 

Others

• I.A. Kakadiaris, U. Kurkure, E.G. Mendizabal-Ruiz, and M. Naghavi. Towards cardiovascular risk stratification using imaging data. In Proc. 31st International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, Sep. 2-6 2009 (In Press).
• I.A. Kakadiaris, E.G. Mendizabal-Ruiz, U. Kurkure, and M. Naghavi. Challenges and opportunities for extracting cardiovascular risk biomarker from imaging data. In Proc. 14th Iberoamerican Congress on Pattern Recognition, Guadalajara, Mexico, Nov. 15-18 2009.
• I.A. Kakadiaris, U. Kurkure, G. Mendizabal, and M. Naghavi. Cardiovascular informatics. In Proc. 8th International Conference on BioInformatics and BioEngineering, Athens, Greece, Oct. 8-10 2008.

^ TOP

Contact

Department of Computer Science
University of Houston
4800 Calhoun Rd.
Houston Texas 77204-3010

Office: PGH 231, Computational Biomedicine Lab
Email: ukurkure AT uh DOT edu
Fax: (713) 743 1250

^ TOP