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ORCIDRoman Filipovych
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2010 – 2019
- 2017
[c16]Preet Inder Singh Rihan, Ritesh Garodia, Adeel Siddiqui, Roman Filipovych:
Making Decisions Using Realistic Estimates of Customer Satisfaction. FLAIRS 2017: 580-585- 2016
- [c15]Roman Filipovych, Amar Daood
, Eraldo Ribeiro, Mark Bush:
Pollen recognition in optical microscopy by matching multifocal image sequences. ICPR 2016: 2127-2132 - 2015
- [j6]Harini Eavani, Theodore D. Satterthwaite, Roman Filipovych, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos:
Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI. NeuroImage 105: 286-299 (2015) - 2012
- [j5]Roman Filipovych, Susan M. Resnick, Christos Davatzikos:
JointMMCC: Joint Maximum-Margin Classification and Clustering of Imaging Data. IEEE Trans. Medical Imaging 31(5): 1124-1140 (2012) - [c14]Harini Eavani, Roman Filipovych, Christos Davatzikos, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur:
Sparse Dictionary Learning of Resting State fMRI Networks. PRNI 2012: 73-76 - [c13]Roman Filipovych, Bilwaj Gaonkar, Christos Davatzikos:
A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease. PRNI 2012: 105-108 - 2011
- [j4]Roman Filipovych, Eraldo Ribeiro:
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states. Comput. Vis. Image Underst. 115(2): 177-193 (2011) - [j3]Roman Filipovych, Ying Wang, Christos Davatzikos:
Pattern analysis in neuroimaging: Beyond two-class categorization. Int. J. Imaging Syst. Technol. 21(2): 173-178 (2011) - [j2]Roman Filipovych, Susan M. Resnick, Christos Davatzikos:
Semi-supervised cluster analysis of imaging data. NeuroImage 54(3): 2185-2197 (2011) - [j1]Roman Filipovych, Christos Davatzikos:
Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI). NeuroImage 55(3): 1109-1119 (2011) - [c12]Roman Filipovych, Susan M. Resnick, Christos Davatzikos:
Understanding heterogeneity in normal older adult populations via clustering of longitudinal data. ISBI 2011: 1101-1104 - [c11]Roman Filipovych, Susan M. Resnick, Christos Davatzikos:
Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults. MLMI 2011: 26-34
2000 – 2009
- 2009
- [c10]Roman Filipovych, Eraldo Ribeiro:
Learning Structural Models in Multiple Projection Spaces. ICIAR 2009: 616-626 - [c9]Roman Filipovych, Eraldo Ribeiro:
Determining the scale of interest regions in videos. ICIP 2009: 985-988 - [c8]Roman Filipovych, Eraldo Ribeiro:
Adaptive Tuboid Shapes for Action Recognition. ISVC (2) 2009: 367-376 - 2008
- [c7]Roman Filipovych, Eraldo Ribeiro:
Learning human motion models from unsegmented videos. CVPR 2008 - [c6]Roman Filipovych, Eraldo Ribeiro:
Recognizing primitive interactions by exploring actor-object states. CVPR 2008 - [c5]Roman Filipovych, Eraldo Ribeiro:
Discovering Constrained Substructures in Bayesian Trees Using the E.M. Algorithm. ICIAR 2008: 650-659 - 2007
- [c4]Roman Filipovych, Eraldo Ribeiro:
Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces. ICIAP 2007: 49-54 - [c3]Roman Filipovych, Eraldo Ribeiro:
Learning Basic Patterns from Repetitive Texture Surfaces Under Non-rigid Deformations. ICIAR 2007: 81-92 - [c2]Roman Filipovych, Eraldo Ribeiro:
Combining Models of Pose and Dynamics for Human Motion Recognition. ISVC (2) 2007: 21-32 - [c1]Roman Filipovych, Eraldo Ribeiro:
Probabilistic Combination of Visual Cues for Object Classification. ISVC (1) 2007: 662-671
Coauthor Index
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