Matching of Diffusion Tensor Images using Gabor Features. - Ragini Verma; Christos Davatzikos (ISBI, 2004)

Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry. - Ragini Verma; Susumu Mori; Dinggang Shen; Paul Yarowsky; Jiangyang Zhang; Christos Davatzikos (Proc. Natl. Acad. Sci. USA, 2005)

On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure. - Parmeshwar Khurd; Ragini Verma; Christos Davatzikos (CVPR Workshops, 2006)

A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation. - Sokratis Makrogiannis; Ragini Verma; Bilge Karaçali; Christos Davatzikos (CVPR Workshops, 2006)

Correspondence detection in diffusion tensor images. - Christos Davatzikos; Feby Abraham; George Biros; Ragini Verma (ISBI, 2006)

Manifold based analysis of diffusion tensor images using isomaps. - Ragini Verma; Christos Davatzikos (ISBI, 2006)

Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images. - Parmeshwar Khurd; Sajjad Baloch; Ruben C. Gur; Christos Davatzikos; Ragini Verma (CVPR, 2007)

Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features. - Peng Wang 005; Christian Köhler 002; Fred Barrett; Raquel E. Gur; Ruben C. Gur; Ragini Verma (CVPR, 2007)

Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders. - Peng Wang 005; Christian Köhler 002; Ragini Verma (CVPR, 2007)

On Detecting Subtle Pathology via Tissue Clustering of Multi-parametric Data using Affinity Propagation. - Ragini Verma; Peng Wang 005 (ICCV, 2007)

An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis. - Sajjad Baloch; Ragini Verma; Christos Davatzikos (IPMI, 2007)

Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images. - Parmeshwar Khurd; Ragini Verma; Christos Davatzikos (IPMI, 2007)

Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images. - Hongmin Cai; Ragini Verma; Yangming Ou; Seung-Koo Lee; Elias R. Melhem; Christos Davatzikos (ISBI, 2007)

Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor. - Sokratis Makrogiannis; Ragini Verma; Christos Davatzikos (IEEE Trans. Medical Imaging, 2007)

On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps. - Ragini Verma; Parmeshwar Khurd; Christos Davatzikos (IEEE Trans. Medical Imaging, 2007)

On non-linear characterization of tissue abnormality by constructing disease manifolds. - Nematollah Batmanghelich; Ragini Verma (CVPR Workshops, 2008)

Learning-based analysis of emotional impairments in schizophrenia. - Peng Wang 005; Christian Köhler 002; Elizabeth Martin; Neal Stolar; Ragini Verma (CVPR Workshops, 2008)

Manifold based Morphometry applied to schizophrenia. - Ragini Verma; Parmeshwar Khurd; James Loughead; Raquel E. Gur; Ruben C. Gur; Christos Davatzikos (ISBI, 2008)

Multiparametric tissue abnormality characterization using manifold regularization. - Kayhan N. Batmanghelich; Xiaoying Wu; Evangelia I. Zacharaki; Clyde E. Markowitz; Christos Davatzikos; Ragini Verma (Computer-Aided Diagnosis, 2008)

On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function. - Luke Bloy; Ragini Verma (MICCAI (1), 2008)

On Classifying Disease-Induced Patterns in the Brain Using Diffusion Tensor Images. - Peng Wang 005; Ragini Verma (MICCAI (1), 2008)

Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features. - Jinzhong Yang; Dinggang Shen; Christos Davatzikos; Ragini Verma (MICCAI (2), 2008)

Spatial normalization of diffusion tensor images based on anisotropic segmentation. - Jinzhong Yang; Dinggang Shen; Chandan Misra; Xiaoying Wu; Susan M. Resnick; Christos Davatzikos; Ragini Verma (Image Processing, 2008)

Improving emotion recognition using class-level spectral features. - Dmitri Bitouk; Ani Nenkova; Ragini Verma (INTERSPEECH, 2009)

Bayesian Framework for White Matter Fiber Similarity Measure. - Demian Wassermann; Luke Bloy; Ragini Verma; Rachid Deriche (ISBI, 2009)

Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. - Jihun Hamm; Christos Davatzikos; Ragini Verma (MICCAI (1), 2009)

Multimodal Image Registration by Information Fusion at Feature Level. - Yang Li; Ragini Verma (MICCAI (1), 2009)

Demons registration of high angular resolution diffusion images. - Luke Bloy; Ragini Verma (ISBI, 2010)

DTI Based Diagnostic Prediction of a Disease via Pattern Classification. - Madhura Ingalhalikar; Stathis Kanterakis; Ruben C. Gur; Timothy P. L. Roberts; Ragini Verma (MICCAI (1), 2010)

Diffusion-Based Population Statistics Using Tract Probability Maps. - Demian Wassermann; Efstathios Kanterakis; Ruben C. Gur; Rachid Deriche; Ragini Verma (MICCAI (1), 2010)

DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. - Madhura Ingalhalikar; Jinzhong Yang; Christos Davatzikos; Ragini Verma (Int. J. Imaging Syst. Technol., 2010)

GRAM: A framework for geodesic registration on anatomical manifolds. - Jihun Hamm; Dong Hye Ye; Ragini Verma; Christos Davatzikos (Medical Image Anal., 2010)

Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers. - Demian Wassermann; Luke Bloy; Efstathios Kanterakis; Ragini Verma; Rachid Deriche (NeuroImage, 2010)

Class-level spectral features for emotion recognition. - Dmitri Bitouk; Ragini Verma; Ani Nenkova (Speech Commun., 2010)

Neuronal white matter parcellation using spatially coherent normalized cuts. - Luke Bloy; Madhura Ingalhalikar; Ragini Verma (ISBI, 2011)

HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. - Luke Bloy; Madhura Ingalhalikar; Harini Eavani; Timothy P. L. Roberts; Robert T. Schultz; Ragini Verma (MICCAI (2), 2011)

Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. - Madhura Ingalhalikar; Drew Parker; Luke Bloy; Timothy P. L. Roberts; Ragini Verma (NeuroImage, 2011)

Effects of physiological noise in population analysis of diffusion tensor MRI data. - Lindsay Walker; Lin-Ching Chang; Cheng Guan Koay; Nikhil Sharma 001; Leonardo Cohen; Ragini Verma; Carlo Pierpaoli (NeuroImage, 2011)

Multichannel Image Registration by Feature-Based Information Fusion. - Yang Li; Ragini Verma (IEEE Trans. Medical Imaging, 2011)

Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering. - Arman Savran; Houwei Cao; Miraj Shah; Ani Nenkova; Ragini Verma (ICMI, 2012)

Combining Ranking and Classification to Improve Emotion Recognition in Spontaneous Speech. - Houwei Cao; Ragini Verma; Ani Nenkova (INTERSPEECH, 2012)

Connectivity-based analysis: Application to white matter maturation in mouse brain. - Youssef Rouchdy; Christos Davatzikos; Ragini Verma (ISBI, 2012)

Dominant Component Analysis of Electrophysiological Connectivity Networks. - Yasser Ghanbari; Luke Bloy; Kayhan N. Batmanghelich; Timothy P. L. Roberts; Ragini Verma (MICCAI (3), 2012)

Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. - Madhura Ingalhalikar; William A. Parker; Luke Bloy; Timothy P. L. Roberts; Ragini Verma (MICCAI (3), 2012)

Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs. - Madhura Ingalhalikar; Alex R. Smith; Luke Bloy; Ruben C. Gur; Timothy P. L. Roberts; Ragini Verma (MICCAI (2), 2012)

Multi-scale Characterization of White Matter Tract Geometry. - Peter Savadjiev; Yogesh Rathi; Sylvain Bouix; Ragini Verma; Carl-Fredrik Westin (MICCAI (3), 2012)

Peak Geodesic Concentration: A measure of WM complexity in HARDI. - Arvind Rao; Alex R. Smith; Robert T. Schultz; Timothy P. L. Roberts; Ragini Verma (MMBIA, 2012)

An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. - Luke Bloy; Madhura Ingalhalikar; Nematollah Batmanghelich; Robert T. Schultz; Timothy P. L. Roberts; Ragini Verma (Brain Connect., 2012)

White matter atlas generation using HARDI based automated parcellation. - Luke Bloy; Madhura Ingalhalikar; Harini Eavani; Robert T. Schultz; Timothy P. L. Roberts; Ragini Verma (NeuroImage, 2012)

Action Unit Models of Facial Expression of Emotion in the Presence of Speech. - Miraj Shah; David G. Cooper; Houwei Cao; Ruben C. Gur; Ani Nenkova; Ragini Verma (ACII, 2013)

Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras. - Arman Savran; Ruben C. Gur; Ragini Verma (ICCV Workshops, 2013)

Locality Preserving Non-negative Basis Learning with Graph Embedding. - Yasser Ghanbari; John D. Herrington; Ruben C. Gur; Robert T. Schultz; Ragini Verma (IPMI, 2013)

Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. - Birkan Tunç; Alex R. Smith; Demian Wassermann; Xavier Pennec; William M. Wells III; Ragini Verma; Kilian M. Pohl (IPMI, 2013)

Connectivity Subnetwork Learning for Pathology and Developmental Variations. - Yasser Ghanbari; Alex R. Smith; Robert T. Schultz; Ragini Verma (MICCAI (1), 2013)

Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology. - Peter Savadjiev; Yogesh Rathi; Sylvain Bouix; Alex R. Smith; Robert T. Schultz; Ragini Verma; Carl-Fredrik Westin (MICCAI (1), 2013)

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth. - Theodore D. Satterthwaite; Daniel H. Wolf; Kosha Ruparel; Güray Erus; Mark A. Elliott; Simon B. Eickhoff; Efstathios D. Gennatas; Chad Jackson; Karthik Prabhakaran; Alex R. Smith; Hakon Hakonarson; Ragini Verma; et al. (NeuroImage, 2013)

Kernel-Based Morphometry of Diffusion Tensor Images. - Madhura Ingalhalikar; Parmeshwar Khurd; Ragini Verma (Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014)

Functionally Driven Brain Networks Using Multi-layer Graph Clustering. - Yasser Ghanbari; Luke Bloy; Varsha Shankar; J. Christopher Edgar; Timothy P. L. Roberts; Robert T. Schultz; Ragini Verma (MICCAI (3), 2014)

Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding. - Yasser Ghanbari; Alex R. Smith; Robert T. Schultz; Ragini Verma (Medical Image Anal., 2014)

Fusion of white and gray matter geometry: A framework for investigating brain development. - Peter Savadjiev; Yogesh Rathi; Sylvain Bouix; Alex R. Smith; Robert T. Schultz; Ragini Verma; Carl-Fredrik Westin (Medical Image Anal., 2014)

Neuroimaging of the Philadelphia Neurodevelopmental Cohort. - Theodore D. Satterthwaite; Mark A. Elliott; Kosha Ruparel; James Loughead; Karthik Prabhakaran; Monica E. Calkins; Ryan Hopson; Chad Jackson; Jack Keefe; Marisa Riley; Frank D. Mentch; Patrick Sleiman; et al. (NeuroImage, 2014)

PUNCH: Population Characterization of Heterogeneity. - Birkan Tunç; Yasser Ghanbari; Alex R. Smith; Juhi Pandey; Aaron Browne; Robert T. Schultz; Ragini Verma (NeuroImage, 2014)

Automated tract extraction via atlas based Adaptive Clustering. - Birkan Tunç; William A. Parker; Madhura Ingalhalikar; Ragini Verma (NeuroImage, 2014)

CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset. - Houwei Cao; David G. Cooper; Michael K. Keutmann; Ruben C. Gur; Ani Nenkova; Ragini Verma (IEEE Trans. Affect. Comput., 2014)

Towards a Quantified Network Portrait of a Population. - Birkan Tunç; Varsha Shankar; Drew Parker; Robert T. Schultz; Ragini Verma (IPMI, 2015)

Acoustic and lexical representations for affect prediction in spontaneous conversations. - Houwei Cao; Arman Savran; Ragini Verma; Ani Nenkova (Comput. Speech Lang., 2015)

Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech. - Houwei Cao; Ragini Verma; Ani Nenkova (Comput. Speech Lang., 2015)

On facilitating the use of HARDI in population studies by creating rotation-invariant markers. - Emmanuel Caruyer; Ragini Verma (Medical Image Anal., 2015)

Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities. - Arman Savran; Houwei Cao; Ani Nenkova; Ragini Verma (IEEE Trans. Cybern., 2015)

Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging. - Fan Zhang 013; Peter Savadjiev; Tom Weidong Cai; Yang Song 001; Ragini Verma; Carl-Fredrik Westin; Lauren J. O'Donnell (ISBI, 2016)

Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection. - Takanori Watanabe; Birkan Tunç; Drew Parker; Junghoon Kim 006; Ragini Verma (MICCAI (1), 2016)

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort. - David R. Roalf; Megan Quarmley; Mark A. Elliott; Theodore D. Satterthwaite; Simon N. Vandekar; Kosha Ruparel; Efstathios D. Gennatas; Monica E. Calkins; Tyler M. Moore; Ryan Hopson; Karthik Prabhakaran; Chad Jackson; et al. (NeuroImage, 2016)

Subject-Specific Structural Parcellations Based on Randomized AB-divergences. - Nicolas Honnorat; Drew Parker; Birkan Tunç; Christos Davatzikos; Ragini Verma (MICCAI (1), 2017)

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. - Saima Rathore; Spyridon Bakas; Sarthak Pati; Hamed Akbari; Ratheesh Kalarot; Patmaa Sridharan; Martin Rozycki; Mark Bergman; Birkan Tunç; Ragini Verma; Michel Bilello; Christos Davatzikos (BrainLes@MICCAI, 2017)

On characterizing population commonalities and subject variations in brain networks. - Yasser Ghanbari; Luke Bloy; Birkan Tunç; Varsha Shankar; Timothy P. L. Roberts; J. Christopher Edgar; Robert T. Schultz; Ragini Verma (Medical Image Anal., 2017)

Harmonization of multi-site diffusion tensor imaging data. - Jean-Philippe Fortin; Drew Parker; Birkan Tunç; Takanori Watanabe; Mark A. Elliott; Kosha Ruparel; David R. Roalf; Theodore D. Satterthwaite; Ruben C. Gur; Raquel E. Gur; Robert T. Schultz; Ragini Verma; et al. (NeuroImage, 2017)

Edema-Informed Anatomically Constrained Particle Filter Tractography. - Samuel Deslauriers-Gauthier; Drew Parker; François Rheault; Rachid Deriche; Steven Brem; Maxime Descoteaux; Ragini Verma (MICCAI (3), 2018)

Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination. - Abdol Aziz Ould Ismail; Drew Parker; Moisés Hernández-Fernández; Steven Brem; Simon Alexander; Ofer Pasternak; Emmanuel Caruyer; Ragini Verma (BrainLes@MICCAI (1), 2018)

A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury. - Yusuf Osmanlioglu; Jacob A. Alappatt; Drew Parker; Junghoon Kim 006; Ragini Verma (BrainLes@MICCAI (1), 2018)

A Graph Representation and Similarity Measure for Brain Networks with Nodal Features. - Yusuf Osmanlioglu; Birkan Tunç; Jacob A. Alappatt; Drew Parker; Junghoon Kim 006; Ali Shokoufandeh; Ragini Verma (GRAIL/Beyond-MIC@MICCAI, 2018)

Multimodal Patho-Connectomics of Brain Injury. - Ragini Verma; Yusuf Osmanlioglu; Abdol Aziz Ould Ismail (BrainLes@MICCAI (1), 2018)

The impact of in-scanner head motion on structural connectivity derived from diffusion MRI. - Graham L. Baum; David R. Roalf; Philip A. Cook; Rastko Ciric; Adon F. G. Rosen; Cedric Xia; Mark A. Elliott; Kosha Ruparel; Ragini Verma; Birkan Tunç; Ruben C. Gur; Raquel E. Gur; et al. (NeuroImage, 2018)

Whole brain white matter connectivity analysis using machine learning: An application to autism. - Fan Zhang 013; Peter Savadjiev; Weidong Cai 001; Yang Song 001; Yogesh Rathi; Birkan Tunç; Drew Parker; Tina Kapur; Robert T. Schultz; Nikos Makris; Ragini Verma; Lauren J. O'Donnell (NeuroImage, 2018)

Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness. - Eugene W. J. Choy; Winston M. K. Ho; Xiaohang Li; Ragini Verma; Li J. Sim; Kyong Jin Shim (IEEE BigData, 2019)

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. - Sarthak Pati; Ashish Singh; Saima Rathore; Aimilia Gastounioti; Mark Bergman; Phuc Ngo; Sung Min Ha; Dimitrios Bounias; James Minock; Grayson Murphy; Hongming Li; Amit Bhattarai; et al. (BrainLes@MICCAI (2), 2019)

QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images. - Zahra Riahi Samani; Jacob Antony Alappatt; Drew Parker; Abdol Aziz Ould Ismail; Ragini Verma (CoRR, 2019)

System-level matching of structural and functional connectomes in the human brain. - Yusuf Osmanlioglu; Birkan Tunç; Drew Parker; Mark A. Elliott; Graham L. Baum; Rastko Ciric; Theodore D. Satterthwaite; Raquel E. Gur; Ruben C. Gur; Ragini Verma (NeuroImage, 2019)

Structural Connectivity Analysis Using Finsler Geometry. - Tom C. J. Dela Haije; Peter Savadjiev; Andrea Fuster; Robert T. Schultz; Ragini Verma; Luc Florack; Carl-Fredrik Westin (SIAM J. Imaging Sci., 2019)

Analysis of Consistency in Structural and Functional Connectivity of Human Brain. - Yusuf Osmanlioglu; Jacob A. Alappatt; Drew Parker; Ragini Verma (ISBI, 2020)

Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders. - Rui Sherry Shen; Jacob A. Alappatt; Drew Parker; Junghoon Kim 006; Ragini Verma; Yusuf Osmanlioglu (UNSURE/GRAIL@MICCAI, 2020)

3D-QCNet - A Pipeline for Automated Artifact Detection in Diffusion MRI images. - Adnan Ahmad; Drew Parker; Zahra Riahi Samani; Ragini Verma (CoRR, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Artificial intelligence-based locoregional markers of brain peritumoral microenvironment. - Zahra Riahi Samani; Drew Parker; Hamed Akbari; Spyridon Bakas; Ronald L. Wolf; Steven Brem; Ragini Verma (CoRR, 2022)

Experimental Implementation of FSO System using Low-cost Optical Transmitter. - Akhilesh Kumar Savita; Rishabh Patial; Ragini Verma; Anshul Jaiswal (ANTS, 2023)

Modulation Signaling-based Continuous Variable Quantum Key Distribution for Indoor Visible Light Communications. - Ragini Verma; Shrey Agrawal; Anshul Jaiswal (ANTS, 2023)

Analysis of Structural Brain Network Topology Alterations in Autism and its Relationship with Autism Severity. - Abhishek S. Jeyapratap; Drew Parker; Benjamin E. Yerys; Ragini Verma; Yusuf Osmanlioglu (ISBI, 2023)

Performance Analysis of QKD-based Terrestrial FSO System using QPSK under Atmospheric Turbulence. - Ragini Verma; Anshul Jaiswal (VTC2023-Spring, 2023)

3D-QCNet - A pipeline for automated artifact detection in diffusion MRI images. - Adnan Ahmad; Drew Parker; Suhani Dheer; Zahra Riahi Samani; Ragini Verma (Comput. Medical Imaging Graph., 2023)

Design and Analysis of Octa-phase Shift Keying Based Quantum Key Distribution System. - Ragini Verma; Anshul Jaiswal; Anh T. Pham 002 (IEEE Commun. Lett., 2023)

Parsing altered brain connectivity in neurodevelopmental disorders by integrating graph-based normative modeling and deep generative networks. - Rui Sherry Shen; Yusuf Osmanlioglu; Drew Parker; Darien Aunapu; Benjamin E. Yerys; Birkan Tunç; Ragini Verma (CoRR, 2024)

Secure Transmission with One-Time Pad Encryption Using FDM-Based CV-QKD in VLC System. - Ragini Verma; Anshul Jaiswal; Vansh Saini; Meenakshi Rawat; Mradul Goyal (NCC, 2025)