Constantine Butakoff Publications

Journal papers

[1] C. Butakoff and A. F. Frangi, “Multi-view face segmentation using fusion of statistical shape and appearance models,” Computer Vision and Image Understanding, vol. 114, no. 3, pp. 311-321, 2010. [ DOI ]
[2] I. N. Aizenberg and C. Butakoff, “A windowed gaussian notch filter for quasi-periodic noise removal,” Image & Vision Computing, vol. 26, no. 10, pp. 1347-1353, 2008. [ DOI ]
[3] D. D. Gomez, C. Butakoff, B. K. Ersboll, and W. Stoecker, “Independent histogram pursuit for segmentation of skin lesions,” IEEE Transactions on Biomedical Engineering, vol. 55, no. 1, pp. 157-161, 2008. [ DOI ]
[4] C. Tobon-Gomez, C. Butakoff, S. Aguade, F. Sukno, G. Moragas, and A. F. Frangi, “Automatic construction of 3d-asm intensity models by simulating image acquisition: Application to myocardial gated spect studies,” IEEE Transactions on Medical Imaging, vol. 27, no. 11, pp. 1655-1667, 2008. [ DOI ]
[5] D. D. Gomez, C. Butakoff, B. K. Ersbøll, and J. M. Carstensen, “Automatic change detection and quantification of dermatological diseases with an application to psoriasis images,” Pattern Recognition Letters, vol. 28, no. 9, pp. 1012-1018, 2007. [ DOI ]
[6] F. Sukno, S. Ordas, C. Butakoff, S. Cruz, and A. F. Frangi, “Active shape models with invariant optimal features: Application to facial analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 7, pp. 1105-1117, 2007. [ DOI ]
[7] C. Butakoff and A. F. Frangi, “A framework for weighted fusion of multiple statistical models of shape and appearance,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 11, pp. 1847-1857, 2006. [ DOI ]
[8] I. Aizenberg, C. Butakoff, and D. Paliy, “Impulsive noise removal using threshold boolean filtering based on the impulse detecting functions,” vol. 12, no. 1, pp. 63-66, 2005. [ DOI ]
[9] I. Aizenberg and C. Butakoff, “Effective impulse detector based on rank-order criteria,” vol. 11, no. 3, pp. 363-366, 2004. [ DOI ]
[10] I. Aizenberg and C. Butakoff, “Superresolution and supersampling by spectral extrapolation,” Pattern Recognition and Image Analysis, vol. 14, no. 3, pp. 370-379, 2004. [ html ]
[11] I. N. Aizenberg and C. Butakoff, “Image processing using cellular neural networks based on multi-valued and universal binary neurons,” VLSI Signal Processing, vol. 34, no. 3, p. 301, 2003. [ DOI ]
[12] I. N. Aizenberg and C. Butakoff, “Image processing using cellular neural networks based on multi-valued and universal binary neurons,” VLSI Signal Processing, vol. 32, no. 1-2, pp. 169-188, 2002. [ DOI ]
[13] I. Aizenberg, N. Aizenberg, T. Bregin, C. Butakov, E. Farberov, N. Merzlyakov, and O. Milyukova, “Blur recognition on the neural network based on multi-valued neurons,” Journal of Image and Graphics. Proc. Intl. Conf. on Image and Graphics (ICIG), vol. 5, pp. 127-130, 2000.

Conference papers and posters

[1] C. Butakoff, F. Sukno, A. Doltra, E. Silva, M. Sitges, and A. F. Frangi, “Order statistic based cardiac boundary detection in 3d+t echocardiograms,” in Proc. Int. Conf. Functional Imaging and Modeling of the Heart, LNCS vol. 6666, pp. 359-366, 2011. [ DOI ]
[2] K. Lekadir, B. Ghafaryasl, E. Muñoz-Moreno, C. Butakoff, C. Hoogendoorn, and A. F. Frangi, “Predictive modeling of cardiac fiber orientation using the knutsson mapping,” in Proc. Int. Conf. Medical Image Computing and Computer Assisted Intervention, LNCS vol. 6892, pp. 50-57, 2011. [ DOI ]
[3] M. De Craene, F. Sukno, C. Tobon-Gomez, C. Butakoff, R. M. F. i Ventura, C. Hoogendoorn, G. Piella, N. Duchateau, E. Muñoz-Moreno, and R. Sebastián, “Atlas construction and image analysis using statistical cardiac models,” in STACOM/CESC, Proc. Int. Conf. Medical Image Computing and Computer Assisted Intervention, LNCS vol. 6364, pp. 1-13, 2010. [ DOI ]
[4] F. M. Sukno, C. Butakoff, B. Bijnens, and A. F. Frangi, “Sparse active shape models: influence of the interpolation kernel on segmentation accuracy and speed,” in Proc. SPIE, vol. 7623, 2010. [ DOI ]
[5] C. Tobon-Gomez, C. Butakoff, P. Yushkevich, M. Huguet, and A. F. Frangi, “3d mesh based wall thickness measurement: Identification of left ventricular hypertrophy phenotypes,” in Proc. Int. Engineering in Medicine and Biology Society Conf., pp. 2642-2645, 2010. [ DOI ]
[6] C. Tobon-Gomez, F. M. Sukno, C. Butakoff, M. Huguet, and A. F. Frangi, “Simulation of late gadolinium enhancement cardiac magnetic resonance studies,” in Proc. Int. Engineering in Medicine and Biology Society Conf., pp. 1469-1472, 2010. [ DOI ]
[7] I. Larrabide, P. Omedas, Y. Martelli, X. Planes, M. Nieber, J. A. Moya, C. Butakoff, R. Sebastián, O. Camara, M. D. Craene, B. Bijnens, and A. F. Frangi, “Gimias: An open source framework for efficient development of research tools and clinical prototypes,” in Proc. Int. Conf. Functional Imaging and Modeling of the Heart, LNCS vol. 5528, pp. 417-426, 2009. [ DOI ]
[8] S.-K. Pavani, F. Sukno, C. Butakoff, X. Planes, and A. F. Frangi, “A confidence-based update rule for self-updating human face recognition systems,” in Proc. Int. Conf. Advances in Biometrics, LNCS vol. 5558, pp. 151-160, 2009. [ DOI ]
[9] F. Sukno, S.-K. Pavani, C. Butakoff, and A. F. Frangi, “Automatic assessment of eye blinking patterns through statistical shape models,” in Proc. Int. Conf. Computer Vision Systems, LNCS vol. 5815, pp. 33-42, 2009. [ DOI ]
[10] C. Butakoff, S. Balocco, S. Ordas, and A. F. Frangi, “Simulated 3D ultrasound LV cardiac images for active shape model training,” in Proc. SPIE, vol. 6512, 2007. [ DOI ]
[11] Tobon-Gomez, C. Butakoff, S. Ordas, and A. F. Frangi, “Comparative study of diverse model building strategies for 3d-asm segmentation of dynamic gated spect data,” in Proc. SPIE, vol. 6511, 2007. [ DOI ]
[12] F. Sukno, S. Ordas, C. Butakoff, S. Cruz, and A. F. Frangi, “Active shape models with invariant optimal features (iof-asms),” in Proc. Int. Conf. on Audio- and Video-Based Biometric Person Authentication, LNCS vol. 3546, pp. 365-375, 2005. [ DOI ]
[13] I. Aizenberg, J. Astola, T. Bregin, C. Butakoff, K. Egiazarian, and D. Paliy, “Detectors of the impulsive noise and new effective filters for impulsive noise reduction,” in Proc. SPIE, vol. 5014, pp. 419-428, 2003. [ DOI ]
[14] I. Aizenberg, J. Astola, C. Butakoff, K. Egiazarian, and D. Paliy, “Effective detection and elimination of impulsive noise with a minimal image smoothing,” in Proc. IEEE Int. Conf. on Image Processing, vol. 2, pp. III-357-360, 2003. [ DOI ]
[15] I. Aizenberg and C. Butakoff, “Frequency domain median-like filter for periodic and quasi-periodic noise removal,” in Proc. SPIE, vol. 4667, pp. 181-191, 2002. [ DOI ]
[16] I. Aizenberg, C. Butakoff, J. Astola, and K. Egiazarian, “Nonlinear frequency domain filter for the quasi-periodic noise removal,” in Proc. Intl. TICSP Workshop on Spectral Methods and Multirate Signal Processing, TICSP Series 17, pp. 147-153, 2002.
[17] I. Aizenberg, C. Butakoff, V. Karnaukhov, N. Merzlyakov, and O. Milukova, “Blurred image restoration using the type of blur and blur parameters identification on the neural network,” in Proc. SPIE, vol. 4667, pp. 460-471, 2002. [ DOI ]
[18] I. Aizenberg, C. Butakoff, E. Myasnikova, M. Samsonova, and J. Reinitz, “Classification of the images of gene expression patterns using neural network based on multi-valued neurons with the minimal number of inputs,” in Proc. SPIE, vol. 4668, pp. 10-19, 2002. [ DOI ]
[19] I. N. Aizenberg, T. Bregin, C. Butakoff, V. N. Karnaukhov, N. S. Merzlyakov, and O. Milukova, “Type of blur and blur parameters identification using neural network and its application to image restoration,” in ICANN, LNCS vol. 2415, pp. 1231-1236, 2002. [ DOI ]
[20] I. Aizenberg and C. Butakoff, “Neural network based on multi-valued neurons and its application to image recognition and blur recognition,” in Proc. SPIE, vol. 4305, pp. 11-21, 2001. [ DOI ]
[21] I. N. Aizenberg, N. N. Aizenberg, and C. Butakoff, “Neural network based on multi-valued neurons: Application in image recognition, type of blur and blur parameters identification,” in Proc. Int. Work Conf. on Artifcial Neural Networks, LNCS vol. 2085, pp. 254-261, 2001. [ DOI ]
[22] I. Aizenberg, N. Aizenberg, J. Astola, T. Bregin, C. Butakov, and K. Egiazarian, “New applications of the nonlinear cellular neural filters in image processing,” in Proc. SPIE, vol. 3961, pp. 45-56, 2000. [ DOI ]
[23] I. Aizenberg, N. Aizenberg, T. Bregin, C. Butakov, and E. Farberov, “Image processing using cellular neural networks based on multi-valued and universal binary neurons,” in Proc. IEEE Signal Processing Society Workshop Neural Networks for Signal Processing X, vol. 2, pp. 557-566, 2000. [ DOI ]
[24] I. N. Aizenberg, N. N. Aizenberg, C. Butakoff, and E. Farberov, “Image recognition on the neural network based on multi-valued neurons,” in Proc. Int. Conf. on Pattern Recognition, vol. 2, pp. 2989-2992, 2000. [ DOI ]
[25] I. Aizenberg, N. Aizenberg, T. Bregin, C. Butakoff, and E. Farberov, “Application of the nonlinear cellular neural filters for noise reduction, extraction of image details, edge detection and solution of the super-resolution problem,” in Proc. Intl. Meeting on Electo-optics and Microelectronics in Israel, 1999.