Edward Herskovits

According to our database, Edward Herskovits authored at least 44 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function.

Lei Zhang, Xiaoke Wang, Michael G. Rawson, Radu V. Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst

Algorithms, May, 2024

2022

Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment.

Rong Chen, Edward H. Herskovits

J. Signal Process. Syst., 2022

Motion correction in MRI using deep learning and a novel hybrid loss function.

Lei Zhang, Xiaoke Wang, Michael G. Rawson, Radu Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst

CoRR, 2022

2017

Dynamic network model with continuous valued nodes for longitudinal brain morphometry.

Rong Chen, Yuanjie Zheng, Erika Nixon, Edward H. Herskovits

NeuroImage, 2017

2016

Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research.

Qi Wang, Rong Chen, Joseph F. JáJá, Yu Jin, L. Elliot Hong, Edward H. Herskovits

Neuroinformatics, 2016

Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment.

Rong Chen, Erika Nixon, Edward Herskovits

Neuroinformatics, 2016

Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes.

Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits

CoRR, 2016

2015

Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia.

Edward Herskovits, L. Elliot Hong, Peter V. Kochunov, Hemalatha Sampath, Rong Chen

Neuroinformatics, 2015

Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling.

Rong Chen, Edward Herskovits

Comput. Medical Imaging Graph., 2015

Brain tumor image segmentation using kernel dictionary learning.

Jeon Lee, Seung-Jun Kim, Rong Chen, Edward H. Herskovits

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A data-driven approach to extract connectivity structures from diffusion tensor imaging data.

Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

Ergo: A Graphical Environment for Constructing Bayesian

Ingo Beinlich, Edward Herskovits

CoRR, 2013

Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases

Edward Herskovits, Gregory F. Cooper

CoRR, 2013

2012

Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package.

Rong Chen, Edward Herskovits

Neuroinformatics, 2012

Dynamic Bayesian network modeling for longitudinal brain morphometry.

Rong Chen, Susan M. Resnick, Christos Davatzikos, Edward Herskovits

NeuroImage, 2012

2010

Predictive models of autism spectrum disorder based on brain regional cortical thickness.

Yun Jiao, Rong Chen, Xiaoyan Ke, Kangkang Chu, Zuhong Lu, Edward Herskovits

NeuroImage, 2010

Voxel-based Bayesian lesion-symptom mapping.

Rong Chen, Edward Herskovits

NeuroImage, 2010

Machine-learning techniques for building a diagnostic model for very mild dementia.

Rong Chen, Edward Herskovits

NeuroImage, 2010

2009

Neural Substrates of Visuospatial Processing in Distinct Reference Frames: Evidence from Unilateral Spatial Neglect.

Jared Medina, Vijay Kannan, Mikolaj A. Pawlak, Jonathan T. Kleinman, Melissa Newhart, Cameron Davis, Jennifer E. Heidler-Gary, Edward Herskovits, Argye E. Hillis

J. Cogn. Neurosci., 2009

Bayesian Classifier Combination for Microarray Classification.

Rong Chen, Edward Herskovits

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008

Voxelwise Bayesian lesion-deficit analysis.

Rong Chen, Argye E. Hillis, Mikolaj A. Pawlak, Edward Herskovits

NeuroImage, 2008

Robust Brain Registration Using Adaptive Probabilistic Atlas.

Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

Software Development vis à vis Collaboration in Interdisciplinary Research.

Edward Herskovits

Neuroinformatics, 2007

Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data.

Rong Chen, Edward Herskovits

Neuroinformatics, 2007

Graphical-model-based multivariate analysis of functional magnetic-resonance data.

Rong Chen, Edward H. Herskovits

NeuroImage, 2007

2006

Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain.

Michel Bilello, Zhiqiang Lao, Jaroslaw Krejza, Argye E. Hillis, Edward Herskovits

Neuroinformatics, 2006

Network analysis of mild cognitive impairment.

Rong Chen, Edward H. Herskovits

NeuroImage, 2006

2005

Graphical-model-based morphometric analysis.

Rong Chen, Edward Herskovits

IEEE Trans. Medical Imaging, 2005

The roles of the "visual word form area" in reading.

Argye E. Hillis, Melissa Newhart, Jennifer E. Heidler-Gary, Peter B. Barker, Edward Herskovits, Mahaveer Degaonkar

NeuroImage, 2005

A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis.

Rong Chen, Edward Herskovits

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004

A Bayesian morphometry algorithm.

Edward Herskovits, Hanchuan Peng, Christos Davatzikos

IEEE Trans. Medical Imaging, 2004

Optimized prostate biopsy via a statistical atlas of cancer spatial distribution.

Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Wei Zhang, Isabell A. Sesterhenn, Leon Sun, Judd W. Moul, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos

Medical Image Anal., 2004

2003

Towards effective and rewarding data sharing.

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

Neuroinformatics, 2003

Application of a data-mining method based on Bayesian networks to lesion-deficit analysis.

Edward H. Herskovits, Joan P. Gerring

NeuroImage, 2003

2002

Automatic segmentation of white matter lesions in T1-weighted brain MR images.

Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward Herskovits, Susan M. Resnick, Christos Davatzikos

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Bayesian clustering methods for morphological analysis of MR images.

Hanchuan Peng, Edward Herskovits, Christos Davatzikos

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001

An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures.

Dinggang Shen, Edward Herskovits, Christos Davatzikos

IEEE Trans. Medical Imaging, 2001

A Statistical Atlas of Prostate Cancer for Optimal Biopsy.

Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer.

Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos, Jianchao Zeng

Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

1999

Mining Lesion-Deficit Associations in a Brain Image Database.

Vasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Transfer of information between system and evidence models.

Russell G. Almond, Edward Herskovits, Robert J. Mislevy, Linda Stienberg

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1992

A Bayesian Method for the Induction of Probabilistic Networks from Data.

Gregory F. Cooper, Edward Herskovits

Mach. Learn., 1992

1991

A Bayesian Method for Constructing Bayesian Belief Networks from Databases.

Gregory F. Cooper, Edward Herskovits

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1990

an entropy-driven system for construction of probabilistic expert systems from databases.

Edward Herskovits, Gregory F. Cooper

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990