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ORCIDJohn K. Goutsias
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- affiliation: Johns Hopkins University, USA
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2010 – 2019
- 2019
[j42]W. Garrett Jenkinson, Jordi Abante
, Michael A. Koldobskiy, Andrew P. Feinberg, John Goutsias:
Ranking genomic features using an information-theoretic measure of epigenetic discordance. BMC Bioinform. 20(1): 175:1-175:17 (2019)- 2018
- [j41]W. Garrett Jenkinson, Jordi Abante, Andrew P. Feinberg, John Goutsias:
An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data. BMC Bioinform. 19(1): 87:1-87:23 (2018) - 2014
- [j40]W. Garrett Jenkinson, John K. Goutsias:
Intrinsic Noise Induces Critical Behavior in Leaky Markovian Networks Leading to Avalanching. PLoS Comput. Biol. 10(1) (2014) - 2013
- [c26]W. Garrett Jenkinson, John Goutsias:
Statistical validation of parametric approximations to the master equation. ACSSC 2013: 1721-1725 - [c25]Ali Sobhi-Afshar, Joseph Xu, John Goutsias:
Identifying deregulated TF/miRNA negative and double-negative feedback loops in prostate cancer. GlobalSIP 2013: 85-88 - 2011
- [j39]W. Garrett Jenkinson, John Goutsias:
Thermodynamically consistent model calibration in chemical kinetics. BMC Syst. Biol. 5: 64 (2011) - [c24]W. Garrett Jenkinson, John Goutsias:
Dynamics on networks: Chemical reactions as a unifying framework. ACSCC 2011: 1031-1035 - 2010
- [j38]Hong-Xuan Zhang, John Goutsias:
A comparison of approximation techniques for variance-based sensitivity analysis of biochemical reaction systems. BMC Bioinform. 11: 246 (2010) - [j37]W. Garrett Jenkinson, Xiaogang Zhong, John Goutsias:
Thermodynamically consistent Bayesian analysis of closed biochemical reaction systems. BMC Bioinform. 11: 547 (2010) - [c23]W. Garrett Jenkinson, John Goutsias:
On Constructing Thermodynamically Consistent Parametrizations of Kinetic Models. BIBE 2010: 214-219 - [c22]W. Garrett Jenkinson, John Goutsias:
A screening method for dimensionality reduction in biochemical reaction system calibration. GENSiPS 2010: 1-4
2000 – 2009
- 2008
- [j36]Dan Schonfeld, John Goutsias, Ilya Shmulevich, Ioan Tabus, Ahmed H. Tewfik:
Introduction to the Issue on Genomic and Proteomic Signal Processing. IEEE J. Sel. Top. Signal Process. 2(3): 257-260 (2008) - 2006
- [j35]John Goutsias, Seungchan Kim:
Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation. J. Comput. Biol. 13(5): 1049-1076 (2006) - [j34]John K. Goutsias:
A Hidden Markov Model for Transcriptional Regulation in Single Cells. IEEE ACM Trans. Comput. Biol. Bioinform. 3(1): 57-71 (2006) - 2005
- [j33]Ulisses M. Braga-Neto, John Goutsias:
Constructing multiscale connectivities. Comput. Vis. Image Underst. 99(1): 126-150 (2005) - [j32]Ulisses M. Braga-Neto, John Goutsias:
Object-Based Image Analysis Using Multiscale Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 892-907 (2005) - 2004
- [j31]Ulisses M. Braga-Neto, Manish Choudhary, John Goutsias:
Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators. J. Electronic Imaging 13(4): 802-813 (2004) - [j30]Ulisses M. Braga-Neto, John Goutsias:
Supremal Multiscale Signal Analysis. SIAM J. Math. Anal. 36(1): 94-120 (2004) - [j29]Ulisses M. Braga-Neto, John K. Goutsias:
Grayscale level connectivity: theory and applications. IEEE Trans. Image Process. 13(12): 1567-1580 (2004) - 2003
- [j28]Ulisses M. Braga-Neto, John K. Goutsias:
A multiscale approach to connectivity. Comput. Vis. Image Underst. 89(1): 70-107 (2003) - [j27]Ulisses M. Braga-Neto, John K. Goutsias:
A Theoretical Tour of Connectivity in Image Processing and Analysis. J. Math. Imaging Vis. 19(1): 5-31 (2003) - [j26]Sinan Batman, John K. Goutsias:
Unsupervised iterative detection of land mines in highly cluttered environments. IEEE Trans. Image Process. 12(5): 509-523 (2003) - 2002
- [j25]Ulisses M. Braga-Neto, John K. Goutsias:
Connectivity on Complete Lattices: New Results. Comput. Vis. Image Underst. 85(1): 22-53 (2002) - 2000
- [j24]John Goutsias, Henk J. A. M. Heijmans:
Fundamenta Morphologicae Mathematicae. Fundam. Informaticae 41(1-2): 1-31 (2000) - [j23]Krishnamoorthy Sivakumar, John Goutsias:
A morphological estimator for clique potentials of binary Markov random fields. IEEE Signal Process. Lett. 7(5): 120-122 (2000) - [j22]John K. Goutsias, Henk J. A. M. Heijmans:
Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids. IEEE Trans. Image Process. 9(11): 1862-1876 (2000) - [j21]Henk J. A. M. Heijmans, John K. Goutsias:
Nonlinear multiresolution signal decomposition schemes. II. Morphological wavelets. IEEE Trans. Image Process. 9(11): 1897-1913 (2000) - [c21]Krishnamoorthy Sivakumar, John Goutsias:
A Morphological Estimator for Clique Potentials of Binary Markov Random Fields. ICIP 2000: 264-267 - [c20]Ulisses M. Braga-Neto, John Goutsias:
Multiresolution Connectivity: An Axiomatic Approach. ISMM 2000: 159-168 - [c19]Henk J. A. M. Heijmans, John Goutsias:
Morphological Pyramids and Wavelets Based on the Quincunx Lattice. ISMM 2000: 273-281 - [e1]John Goutsias, Luc M. Vincent, Dan S. Bloomberg:
Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, ISMM 2000, Palo Alto, CA, USA, June 26-28, 2000. Computational Imaging and Vision 18, Springer 2000, ISBN 978-0-7923-7862-4 [contents]
1990 – 1999
- 1999
- [j20]Krishnamoorthy Sivakumar, John Goutsias:
Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 21(2): 99-113 (1999) - 1998
- [c18]Henk J. A. M. Heijmans, John K. Goutsias:
Some thoughts on morphological pyramids and wavelets. EUSIPCO 1998: 1-4 - [c17]Krishnamoorthy Sivakumar, John Goutsias:
Map Estimation of a Class of Morphologically Constrained Gibbs Random Fields. ICIP (2) 1998: 74-78 - [c16]John Goutsias, Henk J. A. M. Heijmans:
An Axiomatic Approach to Multiresolution Signal Decomposition. ICIP (2) 1998: 237-241 - [c15]Ashish Banerji, John Goutsias:
Statistical Inference for a Stochastic Multiresolution Image Decomposition Scheme. ICIP (1) 1998: 625-629 - 1997
- [j19]Krishnamoorthy Sivakumar, John Goutsias:
Discrete morphological size distributions and densities: estimation techniques and applications. J. Electronic Imaging 6(1): 31-53 (1997) - [j18]Krishnamoorthy Sivakumar, John Goutsias:
On the Discretization of Morphological Operators. J. Vis. Commun. Image Represent. 8(1): 39-49 (1997) - [j17]Gerasimos Potamianos, John K. Goutsias:
Stochastic approximation algorithms for partition function estimation of Gibbs random fields. IEEE Trans. Inf. Theory 43(6): 1948-1965 (1997) - [c14]Krishnamoorthy Sivakumar, John Goutsias:
Morphologically Constrained Gibbs Random Fields. ICIP (2) 1997: 851-854 - 1996
- [j16]Krishnamoorthy Sivakumar, John K. Goutsias:
Binary random fields, random closed sets, and morphological sampling. IEEE Trans. Image Process. 5(6): 899-912 (1996) - [c13]Krishnamoorthy Sivakumar, John Goutsias:
Morphological Sampling of Random Closed Sets. ISMM 1996: 73-80 - 1995
- [j15]John K. Goutsias, Henk J. A. M. Heijmans, Krishnamoorthy Sivakumar:
Morphological Operators for Image Sequences. Comput. Vis. Image Underst. 62(3): 326-346 (1995) - [c12]Krishnamoorthy Sivakumar, John Goutsias:
On the morphological analysis of binary random fields. ICIP 1995: 514-517 - 1994
- [j14]Xuan Kong, John Goutsias:
A Study of Pyramidal Techniques for Image Representation and Compression. J. Vis. Commun. Image Represent. 5(2): 190-203 (1994) - [c11]John Goutsias:
Stochastic Pyramids for Multiscale Signal Synthesis and Analysis. ICIP (1) 1994: 850-854 - [c10]Krishnamoorthy Sivakumar, John Goutsias:
Monte Carlo Estimation of Morphological Granulometric Discrete Size Distributions. ISMM 1994: 233-240 - 1993
- [j13]John K. Goutsias:
Author's Reply to 'Comments on A Theoretical Analysis of Monte Carlo Algorithms for the Simulation of Gibbs Random Field Images'. IEEE Trans. Inf. Theory 39(1): 310- (1993) - [j12]Gerasimos Potamianos, John K. Goutsias:
Partition function estimation of Gibbs random field images using Monte Carlo simulations. IEEE Trans. Inf. Theory 39(4): 1322-1332 (1993) - [c9]Gerasimos Potamianos, John Goutsias:
An analysis of Monte Carlo methods for likelihood estimation of Gibbsian images. ICASSP (5) 1993: 519-522 - 1992
- [j11]John Goutsias:
Morphological analysis of discrete random shapes. J. Math. Imaging Vis. 2(2-3): 193-215 (1992) - 1991
- [j10]John K. Goutsias:
Unilateral approximation of Gibbs random field images. CVGIP Graph. Model. Image Process. 53(3): 240-257 (1991) - [j9]Dan Schonfeld, John K. Goutsias:
On the morphological representation of binary images in a noisy environment. J. Vis. Commun. Image Represent. 2(1): 17-30 (1991) - [j8]Dan Schonfeld, John Goutsias:
Optimal Morphological Pattern Restoration from Noisy Binary Images. IEEE Trans. Pattern Anal. Mach. Intell. 13(1): 14-29 (1991) - [j7]John K. Goutsias:
A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images. IEEE Trans. Inf. Theory 37(6): 1618-1628 (1991) - [j6]Jon R. Berry Jr., John Goutsias:
A comparative study of matrix measures for maximum likelihood texture classification. IEEE Trans. Syst. Man Cybern. 21(1): 252-261 (1991) - [j5]John Goutsias, Dan Schonfeld:
Morphological representation of discrete and binary images. IEEE Trans. Signal Process. 39(6): 1369-1379 (1991) - [c8]Gerasimos Potamianos, John Goutsias:
A novel method for computing the partition function of Markov random field images using Monte Carlo simulations. ICASSP 1991: 2325-2328 - 1990
- [c7]John Goutsias:
Unilateral approximation of Gibbs random field images. ICASSP 1990: 2049-2052 - [c6]Dan Schonfeld, John Goutsias:
Robust morphological representation of binary images. ICASSP 1990: 2065-2068
1980 – 1989
- 1989
- [j4]John K. Goutsias, Jerry M. Mendel:
Simultaneous Optimal Segmentation and Model Estimation of Nonstationary Noisy Images. IEEE Trans. Pattern Anal. Mach. Intell. 11(9): 990-998 (1989) - [j3]John K. Goutsias:
Mutually compatible Gibbs random fields. IEEE Trans. Inf. Theory 35(6): 1233-1249 (1989) - [c5]John K. Goutsias, Dan Schonfeld:
Image coding via morphological transformations: a general theory. CVPR 1989: 178-183 - 1988
- [j2]John K. Goutsias, Jerry M. Mendel:
Optimal simultaneous detection and estimation of filtered discrete semi-Markov chains. IEEE Trans. Inf. Theory 34(3): 551-568 (1988) - [c4]John Goutsias:
A comparative study of two useful discrete-valued random fields for the statistical modeling of images. CVPR 1988: 310-315 - [c3]John Goutsias:
Mutually compatible Gibbs images: properties, simulation and identification. ICASSP 1988: 1020-1023 - 1987
- [c2]John Goutsias, Jerry M. Mendel:
Semi-Markov random field models for image segmentation. ICASSP 1987: 567-570 - 1986
- [j1]Jerry M. Mendel, John Goutsias:
One-dimensional normal-incidence inversion: A solution procedure for band-limited and noisy data. Proc. IEEE 74(3): 401-414 (1986) - 1985
- [c1]Chong-Yung Chi, John Goutsias, Jerry M. Mendel:
A fast maximum-likelihood estimation and detection algorithm for Bernoulli-Gaussian processes. ICASSP 1985: 1297-1300
Coauthor Index
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