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Edward Herskovits
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2020 – today
- 2024
- [j27]Lei Zhang, Xiaoke Wang, Michael G. Rawson, Radu V. Balan
, Edward H. Herskovits
Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function. Algorithms 17(5): 215 (2024) - 2022
- [j26]Rong Chen
Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment. J. Signal Process. Syst. 94(5): 437-443 (2022) - [i6]Lei Zhang, Xiaoke Wang, Michael G. Rawson, Radu Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst:
Motion correction in MRI using deep learning and a novel hybrid loss function. CoRR abs/2210.14156 (2022)
2010 – 2019
- 2018
- [i5]Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits:
A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data. CoRR abs/1802.04353 (2018) - 2017
- [j25]Rong Chen, Yuanjie Zheng, Erika Nixon, Edward H. Herskovits:
Dynamic network model with continuous valued nodes for longitudinal brain morphometry. NeuroImage 155: 605-611 (2017) - 2016
- [j24]Qi Wang
Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research. Neuroinformatics 14(1): 83-97 (2016) - [j23]Rong Chen, Erika Nixon, Edward Herskovits:
Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment. Neuroinformatics 14(2): 191-199 (2016) - [i4]Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits:
Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes. CoRR abs/1609.03893 (2016) - 2015
- [j22]Rong Chen, Edward Herskovits
Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling. Comput. Medical Imaging Graph. 41: 117-125 (2015) - [j21]Edward Herskovits, L. Elliot Hong, Peter V. Kochunov, Hemalatha Sampath, Rong Chen:
Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia. Neuroinformatics 13(4): 501-509 (2015) - [c13]Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits:
A data-driven approach to extract connectivity structures from diffusion tensor imaging data. IEEE BigData 2015: 944-951 - [c12]Jeon Lee
Brain tumor image segmentation using kernel dictionary learning. EMBC 2015: 658-661 - 2013
- [i3]Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for Constructing Bayesian Belief Networks from Databases. CoRR abs/1303.5714 (2013) - [i2]Edward Herskovits, Gregory F. Cooper:
Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases. CoRR abs/1304.1088 (2013) - [i1]Ingo Beinlich, Edward Herskovits:
Ergo: A Graphical Environment for Constructing Bayesian. CoRR abs/1304.1095 (2013) - 2012
- [j20]Rong Chen, Susan M. Resnick, Christos Davatzikos
Dynamic Bayesian network modeling for longitudinal brain morphometry. NeuroImage 59(3): 2330-2338 (2012) - [j19]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) - 2010
- [j18]Rong Chen, Edward Herskovits:
Voxel-based Bayesian lesion-symptom mapping. NeuroImage 49(1): 597-602 (2010) - [j17]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) - [j16]Rong Chen, Edward Herskovits:
Machine-learning techniques for building a diagnostic model for very mild dementia. NeuroImage 52(1): 234-244 (2010)
2000 – 2009
- 2009
- [j15]Jared Medina, Vijay Kannan, Mikolaj A. Pawlak
Neural Substrates of Visuospatial Processing in Distinct Reference Frames: Evidence from Unilateral Spatial Neglect. J. Cogn. Neurosci. 21(11): 2073-2084 (2009) - [c11]Rong Chen, Edward Herskovits:
Bayesian Classifier Combination for Microarray Classification. BIOCOMP 2009: 137-141 - 2008
- [j14]Rong Chen, Argye E. Hillis, Mikolaj A. Pawlak
Voxelwise Bayesian lesion-deficit analysis. NeuroImage 40(4): 1633-1642 (2008) - [c10]Jaime S. Ide
Robust Brain Registration Using Adaptive Probabilistic Atlas. MICCAI (2) 2008: 1041-1049 - 2007
- [j13]Rong Chen, Edward H. Herskovits:
Graphical-model-based multivariate analysis of functional magnetic-resonance data. NeuroImage 35(2): 635-647 (2007) - [j12]Edward Herskovits:
Software Development vis à vis Collaboration in Interdisciplinary Research. Neuroinformatics 5(3): 176-177 (2007) - [j11]Rong Chen, Edward Herskovits:
Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. Neuroinformatics 5(3): 178-188 (2007) - 2006
- [j10]Rong Chen, Edward H. Herskovits:
Network analysis of mild cognitive impairment. NeuroImage 29(4): 1252-1259 (2006) - [j9]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) - 2005
- [j8]Argye E. Hillis, Melissa Newhart, Jennifer E. Heidler-Gary, Peter B. Barker, Edward Herskovits, Mahaveer Degaonkar:
The roles of the "visual word form area" in reading. NeuroImage 24(2): 548-559 (2005) - [j7]Rong Chen, Edward Herskovits:
Graphical-model-based morphometric analysis. IEEE Trans. Medical Imaging 24(10): 1237-1248 (2005) - [c9]Rong Chen, Edward Herskovits:
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. KDD 2005: 4-12 - 2004
- [j6]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 Anal. 8(2): 139-150 (2004) - [j5]Edward Herskovits, Hanchuan Peng, Christos Davatzikos
A Bayesian morphometry algorithm. IEEE Trans. Medical Imaging 23(6): 723-737 (2004) - 2003
- [j4]Edward H. Herskovits, Joan P. Gerring:
Application of a data-mining method based on Bayesian networks to lesion-deficit analysis. NeuroImage 19(4): 1664-1673 (2003) - [j3]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
Towards effective and rewarding data sharing. Neuroinformatics 1(3): 289-295 (2003) - 2002
- [c8]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 - [c7]Hanchuan Peng, Edward Herskovits, Christos Davatzikos
Bayesian clustering methods for morphological analysis of MR images. ISBI 2002: 875-878 - 2001
- [j2]Dinggang Shen, Edward Herskovits, Christos Davatzikos
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures. IEEE Trans. Medical Imaging 20(4): 257-270 (2001) - [c6]Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer. CBMS 2001: 433-438 - [c5]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
1990 – 1999
- 1999
- [c4]Russell G. Almond, Edward Herskovits, Robert J. Mislevy, Linda Stienberg:
Transfer of information between system and evidence models. AISTATS 1999 - [c3]Vasileios Megalooikonomou, Christos Davatzikos, Edward Herskovits:
Mining Lesion-Deficit Associations in a Brain Image Database. KDD 1999: 347-351 - 1992
- [j1]Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for the Induction of Probabilistic Networks from Data. Mach. Learn. 9: 309-347 (1992) - 1991
- [c2]Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for Constructing Bayesian Belief Networks from Databases. UAI 1991: 86-94 - 1990
- [c1]Edward Herskovits, Gregory F. Cooper:
an entropy-driven system for construction of probabilistic expert systems from databases. UAI 1990: 117-128
Coauthor Index
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last updated on 2024-08-15 23:48 CEST by the dblp team
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