Edward Herskovits

34 papers A* 2A 4B 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2016 J jnl
Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment.
Neuroinformatics
Rong Chen, Erika Nixon, Edward Herskovits
2015 J jnl
Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia.
Neuroinformatics
Edward Herskovits, L. Elliot Hong, Peter V. Kochunov, Hemalatha Sampath, Rong Chen
2015 J jnl
Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling.
Comput. Medical Imaging Graph.
Rong Chen, Edward Herskovits
2013 J jnl
A Bayesian Method for Constructing Bayesian Belief Networks from Databases
CoRR
Gregory F. Cooper, Edward Herskovits
2013 J jnl
Ergo: A Graphical Environment for Constructing Bayesian
CoRR
Ingo Beinlich, Edward Herskovits
2013 J jnl
Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases
CoRR
Edward Herskovits, Gregory F. Cooper
2012 J jnl
Dynamic Bayesian network modeling for longitudinal brain morphometry.
NeuroImage
Rong Chen, Susan M. Resnick, Christos Davatzikos, Edward Herskovits
2012 J jnl
Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package.
Neuroinformatics
Rong Chen, Edward Herskovits
2010 J jnl
Machine-learning techniques for building a diagnostic model for very mild dementia.
NeuroImage
Rong Chen, Edward Herskovits
2010 J jnl
Predictive models of autism spectrum disorder based on brain regional cortical thickness.
NeuroImage
Yun Jiao, Rong Chen, Xiaoyan Ke, Kangkang Chu, Zuhong Lu, Edward Herskovits
2010 J jnl
Voxel-based Bayesian lesion-symptom mapping.
NeuroImage
Rong Chen, Edward Herskovits
2009 — conf
Bayesian Classifier Combination for Microarray Classification.
BIOCOMP
Rong Chen, Edward Herskovits
2009 J jnl
Neural Substrates of Visuospatial Processing in Distinct Reference Frames: Evidence from Unilateral Spatial Neglect.
J. Cogn. Neurosci.
Jared Medina, Vijay Kannan, Mikolaj A. Pawlak, Jonathan T. Kleinman, Melissa Newhart, Cameron Davis, Jennifer E. Heidler-Gary, Edward Herskovits, Argye E. Hillis
2008 — conf
Robust Brain Registration Using Adaptive Probabilistic Atlas.
MICCAI (2)
Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits
2008 J jnl
Voxelwise Bayesian lesion-deficit analysis.
NeuroImage
Rong Chen, Argye E. Hillis, Mikolaj A. Pawlak, Edward Herskovits
2007 J jnl
Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data.
Neuroinformatics
Rong Chen, Edward Herskovits
2007 J jnl
Software Development vis à vis Collaboration in Interdisciplinary Research.
Neuroinformatics
Edward Herskovits
2006 J jnl
Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain.
Neuroinformatics
Michel Bilello, Zhiqiang Lao, Jaroslaw Krejza, Argye E. Hillis, Edward Herskovits
2005 A* conf
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis.
KDD
Rong Chen, Edward Herskovits
2005 J jnl
Graphical-model-based morphometric analysis.
IEEE Trans. Medical Imaging
Rong Chen, Edward Herskovits
2005 J jnl
The roles of the "visual word form area" in reading.
NeuroImage
Argye E. Hillis, Melissa Newhart, Jennifer E. Heidler-Gary, Peter B. Barker, Edward Herskovits, Mahaveer Degaonkar
2004 J jnl
A Bayesian morphometry algorithm.
IEEE Trans. Medical Imaging
Edward Herskovits, Hanchuan Peng, Christos Davatzikos
2004 J jnl
Optimized prostate biopsy via a statistical atlas of cancer spatial distribution.
Medical Image Anal.
Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Wei Zhang, Isabell A. Sesterhenn, Leon Sun, Judd W. Moul, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos
2003 J jnl
Towards effective and rewarding data sharing.
Neuroinformatics
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
2002 — conf
Automatic segmentation of white matter lesions in T1-weighted brain MR images.
ISBI
Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward Herskovits, Susan M. Resnick, Christos Davatzikos
2002 — conf
Bayesian clustering methods for morphological analysis of MR images.
ISBI
Hanchuan Peng, Edward Herskovits, Christos Davatzikos
2001 A conf
A Statistical Atlas of Prostate Cancer for Optimal Biopsy.
MICCAI
Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos
2001 J jnl
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures.
IEEE Trans. Medical Imaging
Dinggang Shen, Edward Herskovits, Christos Davatzikos
2001 B conf
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer.
CBMS
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos, Jianchao Zeng
1999 A* conf
Mining Lesion-Deficit Associations in a Brain Image Database.
KDD
Vasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits
1999 A conf
Transfer of information between system and evidence models.
AISTATS
Russell G. Almond, Edward Herskovits, Robert J. Mislevy, Linda Stienberg
1992 J jnl
A Bayesian Method for the Induction of Probabilistic Networks from Data.
Mach. Learn.
Gregory F. Cooper, Edward Herskovits
1991 A conf
A Bayesian Method for Constructing Bayesian Belief Networks from Databases.
UAI
Gregory F. Cooper, Edward Herskovits
1990 A conf
an entropy-driven system for construction of probabilistic expert systems from databases.
UAI
Edward Herskovits, Gregory F. Cooper