an entropy-driven system for construction of probabilistic expert systems from databases. - Edward Herskovits; Gregory F. Cooper (UAI, 1990)

A Bayesian Method for Constructing Bayesian Belief Networks from Databases. - Gregory F. Cooper; Edward Herskovits (UAI, 1991)

A Bayesian Method for the Induction of Probabilistic Networks from Data. - Gregory F. Cooper; Edward Herskovits (Mach. Learn., 1992)

Transfer of information between system and evidence models. - Russell G. Almond; Edward Herskovits; Robert J. Mislevy; Linda Stienberg (AISTATS, 1999)

Mining Lesion-Deficit Associations in a Brain Image Database. - Vasileios Megalooikonomou; Christos Davatzikos; Edward Herskovits (KDD, 1999)

Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer. - Dinggang Shen; Zhiqiang Lao; Edward Herskovits; Gabor Fichtinger; Christos Davatzikos; Jianchao Zeng 002 (CBMS, 2001)

A Statistical Atlas of Prostate Cancer for Optimal Biopsy. - Dinggang Shen; Zhiqiang Lao; Jianchao Zeng 002; Edward Herskovits; Gabor Fichtinger; Christos Davatzikos (MICCAI, 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)

Bayesian clustering methods for morphological analysis of MR images. - Hanchuan Peng; Edward Herskovits; Christos Davatzikos (ISBI, 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 (ISBI, 2002)

Application of a data-mining method based on Bayesian networks to lesion-deficit analysis. - Edward H. Herskovits; Joan P. Gerring (NeuroImage, 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; et al. (Neuroinformatics, 2003)

Optimized prostate biopsy via a statistical atlas of cancer spatial distribution. - Dinggang Shen; Zhiqiang Lao; Jianchao Zeng 002; Wei Zhang 090; Isabell A. Sesterhenn; Leon Sun; Judd W. Moul; Edward Herskovits; Gabor Fichtinger; Christos Davatzikos (Medical Image Anal., 2004)

A Bayesian morphometry algorithm. - Edward Herskovits; Hanchuan Peng; Christos Davatzikos (IEEE Trans. Medical Imaging, 2004)

A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. - Rong Chen 005; Edward Herskovits (KDD, 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)

Graphical-model-based morphometric analysis. - Rong Chen 005; Edward Herskovits (IEEE Trans. Medical Imaging, 2005)

Network analysis of mild cognitive impairment. - Rong Chen 005; Edward H. Herskovits (NeuroImage, 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)

Graphical-model-based multivariate analysis of functional magnetic-resonance data. - Rong Chen 005; Edward H. Herskovits (NeuroImage, 2007)

Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. - Rong Chen 005; Edward Herskovits (Neuroinformatics, 2007)

Software Development vis à vis Collaboration in Interdisciplinary Research. - Edward Herskovits (Neuroinformatics, 2007)

Robust Brain Registration Using Adaptive Probabilistic Atlas. - Jaime S. Ide; Rong Chen 005; Dinggang Shen; Edward Herskovits (MICCAI (2), 2008)

Voxelwise Bayesian lesion-deficit analysis. - Rong Chen 005; Argye E. Hillis; Mikolaj A. Pawlak; Edward Herskovits (NeuroImage, 2008)

Bayesian Classifier Combination for Microarray Classification. - Rong Chen 005; Edward Herskovits (BIOCOMP, 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)

Machine-learning techniques for building a diagnostic model for very mild dementia. - Rong Chen 005; Edward Herskovits (NeuroImage, 2010)

Voxel-based Bayesian lesion-symptom mapping. - Rong Chen 005; Edward Herskovits (NeuroImage, 2010)

Predictive models of autism spectrum disorder based on brain regional cortical thickness. - Yun Jiao; Rong Chen 005; Xiaoyan Ke; Kangkang Chu; Zuhong Lu; Edward Herskovits (NeuroImage, 2010)

Dynamic Bayesian network modeling for longitudinal brain morphometry. - Rong Chen 005; Susan M. Resnick; Christos Davatzikos; Edward Herskovits (NeuroImage, 2012)

Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package. - Rong Chen 005; Edward Herskovits (Neuroinformatics, 2012)

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

Ergo: A Graphical Environment for Constructing Bayesian - Ingo Beinlich; Edward Herskovits (CoRR, 2013)

A data-driven approach to extract connectivity structures from diffusion tensor imaging data. - Yu Jin 008; Joseph F. JáJá; Rong Chen 005; Edward H. Herskovits (IEEE BigData, 2015)

Brain tumor image segmentation using kernel dictionary learning. - Jeon Lee; Seung-Jun Kim; Rong Chen 005; Edward H. Herskovits (EMBC, 2015)

Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling. - Rong Chen 005; Edward Herskovits (Comput. Medical Imaging Graph., 2015)

Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia. - Edward Herskovits; L. Elliot Hong; Peter V. Kochunov; Hemalatha Sampath; Rong Chen 005 (Neuroinformatics, 2015)

Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes. - Yu Jin 008; Joseph F. JáJá; Rong Chen 005; Edward H. Herskovits (CoRR, 2016)

Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment. - Rong Chen 005; Erika Nixon; Edward Herskovits (Neuroinformatics, 2016)

Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research. - Qi Wang 004; Rong Chen 005; Joseph F. JáJá; Yu Jin 008; L. Elliot Hong; Edward H. Herskovits (Neuroinformatics, 2016)

Dynamic network model with continuous valued nodes for longitudinal brain morphometry. - Rong Chen 005; Yuanjie Zheng; Erika Nixon; Edward H. Herskovits (NeuroImage, 2017)

Motion correction in MRI using deep learning and a novel hybrid loss function. - Lei Zhang 036; Xiaoke Wang; Michael G. Rawson; Radu Balan; Edward H. Herskovits; Elias R. Melhem; Linda Chang; Ze Wang 003; Thomas Ernst 001 (CoRR, 2022)

Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment. - Rong Chen 005; Edward H. Herskovits (J. Signal Process. Syst., 2022)

Reducing Motion Artifacts in Brain MRI Using Vision Transformers and Self-Supervised Learning. - Lei Zhang 036; Xiaoke Wang; Edward H. Herskovits; Elias R. Melhem; Linda Chang; Ze Wang 003; Thomas Ernst 001 (ICIP, 2024)

Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function. - Lei Zhang 036; Xiaoke Wang; Michael G. Rawson; Radu V. Balan; Edward H. Herskovits; Elias R. Melhem; Linda Chang; Ze Wang 003; Thomas Ernst 001 (Algorithms, 2024)