Edward Herskovits

Gregory F. Cooper, Edward Herskovits: A Bayesian Method for Constructing Bayesian Belief Networks from Databases. CoRR abs/1303.5714 (2013)

Edward Herskovits, Gregory F. Cooper: Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases. CoRR abs/1304.1088 (2013)

Ingo Beinlich, Edward Herskovits: Ergo: A Graphical Environment for Constructing Bayesian. CoRR abs/1304.1095 (2013)

Rong Chen, Susan M. Resnick, Christos Davatzikos, Edward Herskovits: Dynamic Bayesian network modeling for longitudinal brain morphometry. NeuroImage 59(3): 2330-2338 (2012)

Rong Chen, Edward Herskovits: Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package. Neuroinformatics 10(2): 119-127 (2012)

Rong Chen, Edward Herskovits: Voxel-based Bayesian lesion-symptom mapping. NeuroImage 49(1): 597-602 (2010)

Yun Jiao, Rong Chen, Xiaoyan Ke, Kangkang Chu, Zuhong Lu, Edward Herskovits: Predictive models of autism spectrum disorder based on brain regional cortical thickness. NeuroImage 50(2): 589-599 (2010)

Rong Chen, Edward Herskovits: Machine-learning techniques for building a diagnostic model for very mild dementia. NeuroImage 52(1): 234-244 (2010)

Jared Medina, Vijay Kannan, Mikolaj A. Pawlak, Jonathan T. Kleinman, Melissa Newhart, Cameron Davis, Jennifer E. Heidler-Gary, Edward Herskovits, Argye E. Hillis: Neural Substrates of Visuospatial Processing in Distinct Reference Frames: Evidence from Unilateral Spatial Neglect. J. Cognitive Neuroscience 21(11): 2073-2084 (2009)

Rong Chen, Edward Herskovits: Bayesian Classifier Combination for Microarray Classification. BIOCOMP 2009: 137-141

Jaime Ide, Rong Chen, Dinggang Shen, Edward Herskovits: Robust Brain Registration Using Adaptive Probabilistic Atlas. MICCAI (2) 2008: 1041-1049

Edward Herskovits: Software Development vis à vis Collaboration in Interdisciplinary Research. Neuroinformatics 5(3): 176-177 (2007)

Rong Chen, Edward Herskovits: Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. Neuroinformatics 5(3): 178-188 (2007)

Michel Bilello, Zhiqiang Lao, Jaroslaw Krejza, Argye E. Hillis, Edward Herskovits: Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain. Neuroinformatics 4(3): 235-242 (2006)

Rong Chen, Edward Herskovits: Graphical-model-based morphometric analysis. IEEE Trans. Med. Imaging 24(10): 1237-1248 (2005)

Rong Chen, Edward Herskovits: A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. KDD 2005: 4-12

Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Wei Zhang, Isabell A. Sesterhenn, Leon Sun, Judd W. Moul, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos: Optimized prostate biopsy via a statistical atlas of cancer spatial distribution. Medical Image Analysis 8(2): 139-150 (2004)

Edward Herskovits, Hanchuan Peng, Christos Davatzikos: A Bayesian morphometry algorithm. IEEE Trans. Med. Imaging 23(6): 723-737 (2004)

Daniel Gardner, Arthur W. Toga, Giorgio A. Ascoli, Jackson T. Beatty, James F. Brinkley, Anders M. Dale, Peter T. Fox, Esther P. Gardner, John S. George, Nigel H. Goddard, Kristen M. Harris, Edward Herskovits, Michael L. Hines, Gwen A. Jacobs, Russell E. Jacobs, Edward G. Jones, David N. Kennedy, Daniel Y. Kimberg, John C. Mazziotta, Perry L. Miller, Susumu Mori, David C. Mountain, Allan L. Reiss, Glenn D. Rosen, David A. Rottenberg, Gordon M. Shepherd, Neil R. Smalheiser, Kenneth P. Smith, Tom Strachan, David C. Van Essen, Robert W. Williams, Stephen T. C. Wong: Towards effective and rewarding data sharing. Neuroinformatics 1(3): 289-295 (2003)

Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward Herskovits, Susan M. Resnick, Christos Davatzikos: Automatic segmentation of white matter lesions in T1-weighted brain MR images. ISBI 2002: 253-256

Hanchuan Peng, Edward Herskovits, Christos Davatzikos: Bayesian clustering methods for morphological analysis of MR images. ISBI 2002: 875-878

Dinggang Shen, Edward Herskovits, Christos Davatzikos: An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures. IEEE Trans. Med. Imaging 20(4): 257-270 (2001)

Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos, Jianchao Zeng: Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer. CBMS 2001: 433-438

Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos: A Statistical Atlas of Prostate Cancer for Optimal Biopsy. MICCAI 2001: 416-424

Vasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits: Mining Lesion-Deficit Associations in a Brain Image Database. KDD 1999: 347-351

Gregory F. Cooper, Edward Herskovits: A Bayesian Method for the Induction of Probabilistic Networks from Data. Machine Learning 9: 309-347 (1992)

Gregory F. Cooper, Edward Herskovits: A Bayesian Method for Constructing Bayesian Belief Networks from Databases. UAI 1991: 86-94

Edward Herskovits, Gregory F. Cooper: an entropy-driven system for construction of probabilistic expert systems from databases. UAI 1990: 117-128