R. Verma

Ragini Verma, Madhura Ingalhalikar, Parmeshwar Khurd, 2014, Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data.

Considering Sex as a Biological Variable in Basic and Clinical Studies: An Endocrine Society Scientific Statement.

A. Arnold, A. Raznahan, R. Verma, 2021, Endocrine reviews.

Unifying Inference of Meso-Scale Structures in Networks

Ragini Verma, Birkan Tunç, R. Verma, 2015, PloS one.

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2018, Journal of medical imaging.

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2017, BrainLes@MICCAI.

Neuroimaging of the Philadelphia Neurodevelopmental Cohort

Christos Davatzikos, Ragini Verma, Mark A. Elliott, 2014, NeuroImage.

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort

Ragini Verma, Mark A. Elliott, David R. Roalf, 2016, NeuroImage.

Tractography Reproducibility Challenge with Empirical Data (TraCED): The 2017 ISMRM Diffusion Study Group Challenge

Peter F. Neher, Arthur W. Toga, Ragini Verma, 2018, bioRxiv.

The Impact of In-Scanner Head Motion on Structural Connectivity Derived from Diffusion Tensor Imaging

Ragini Verma, Philip A. Cook, Danielle S. Bassett, 2017, bioRxiv.

Automated tract extraction via atlas based Adaptive Clustering

Ragini Verma, Birkan Tunç, Madhura Ingalhalikar, 2014, NeuroImage.

Improving White Matter Tractography by Resolving the Challenges of Edema

Luke Macyszyn, Ragini Verma, Jérémy Lecoeur, 2013 .

Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers

Rachid Deriche, Luke Bloy, Ragini Verma, 2010, NeuroImage.

On What Manifold do Diffusion Tensors Live?

N. Sochen, P. Basser, O. Pasternak, 2008, The MIDAS Journal.

On Classifying Disease-Induced Patterns in the Brain Using Diffusion Tensor Images

Peng Wang, Ragini Verma, R. Verma, 2008, MICCAI.

Matching of diffusion tensor images using Gabor features

Christos Davatzikos, Ragini Verma, C. Davatzikos, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Christophe Lenglet, Vince D. Calhoun, Chun-Hung Yeh, 2020, NeuroImage.

Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features

Dinggang Shen, Christos Davatzikos, Ragini Verma, 2008, MICCAI.

Spatial normalization of diffusion tensor images based on anisotropic segmentation

Dinggang Shen, Xiaoying Wu, Christos Davatzikos, 2008, SPIE Medical Imaging.

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth

Christos Davatzikos, Simon B. Eickhoff, Ragini Verma, 2013, NeuroImage.

3D-QCNet - A Pipeline for Automated Artifact Detection in Diffusion MRI images

Zahra Riahi Samani, Z. R. Samani, D. Parker, 2021, Comput. Medical Imaging Graph..

QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images

Ragini Verma, Drew Parker, Zahra Riahi Samani, 2019, Frontiers in Neuroscience.

Whole brain white matter connectivity analysis using machine learning: An application to autism

Peter Savadjiev, Robert T. Schultz, Ragini Verma, 2017, NeuroImage.

Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD

Luke Bloy, Timothy P. L. Roberts, Ragini Verma, 2011, NeuroImage.

Using Multiparametric Data with Missing Features for Learning Patterns of Pathology

Luke Bloy, Timothy P. L. Roberts, Ragini Verma, 2012, MICCAI.

Harmonization of multi-site diffusion tensor imaging data

Ragini Verma, Drew Parker, Kosha Ruparel, 2017, NeuroImage.

Neurological Manifestations Among US Government Personnel Reporting Directional Audible and Sensory Phenomena in Havana, Cuba

Ragini Verma, Ramon Diaz-Arrastia, R. Verma, 2018, JAMA.

On characterizing population commonalities and subject variations in brain networks

Luke Bloy, Ragini Verma, Varsha Shankar, 2017, Medical Image Anal..

Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding

Robert T. Schultz, Yasser Ghanbari, Ragini Verma, 2014, Medical Image Anal..

Dominant Component Analysis of Electrophysiological Connectivity Networks

Yasser Ghanbari, Luke Bloy, Nematollah Batmanghelich, 2012, MICCAI.

Diffusion-Based Population Statistics Using Tract Probability Maps

Rachid Deriche, Ragini Verma, Demian Wassermann, 2010, MICCAI.

Delayed magnetic mismatch negativity field, but not auditory M100 response, in specific language impairment

William A. Parker, R. Verma, L. Blaskey, 2012, Neuroreport.

A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury

Ragini Verma, Drew Parker, Junghoon Kim, 2018, BrainLes@MICCAI.

On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure

Christos Davatzikos, Ragini Verma, Parmeshwar Khurd, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Manifold based analysis of diffusion tensor images using isomaps

Christos Davatzikos, Ragini Verma, C. Davatzikos, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Dynamic evoked facial expressions of emotions in schizophrenia

Ragini Verma, Ruben C. Gur, Raquel E. Gur, 2008, Schizophrenia Research.

Diffusion MRI tractography filtering techniques change the topology of structural connectomes

Rachid Deriche, Ragini Verma, Drew Parker, 2020, Journal of neural engineering.

PUNCH: Population Characterization of Heterogeneity

Robert T. Schultz, Yasser Ghanbari, Ragini Verma, 2014, NeuroImage.

On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function

Luke Bloy, Ragini Verma, R. Verma, 2008, MICCAI.

DTI Based Diagnostic Prediction of a Disease via Pattern Classification

Timothy P. L. Roberts, Ragini Verma, Ruben C. Gur, 2010, MICCAI.

Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images

Christos Davatzikos, Ragini Verma, Jihun Hamm, 2009, MICCAI.

An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis

Christos Davatzikos, Ragini Verma, Sajjad Baloch, 2007, IPMI.

Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features

Ragini Verma, Peng Wang, Ruben C. Gur, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Three-Dimensional Printed Modeling of Diffuse Low-Grade Gliomas and Associated White Matter Tract Anatomy

B. Pukenas, D. Parker, R. Verma, 2017, Neurosurgery.

Subject-Specific Structural Parcellations Based on Randomized AB-divergences

Christos Davatzikos, Ragini Verma, Drew Parker, 2017, MICCAI.

Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity.

Luke Macyszyn, Christos Davatzikos, Ragini Verma, 2014, Radiology.

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2019, BrainLes@MICCAI.

PROBABILISTIC SEGMENTATION OF BRAIN TUMORS BASED ON MULTI-MODALITY MAGNETIC RESONANCE IMAGES

Christos Davatzikos, Ragini Verma, Hongmin Cai, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

White matter microstructure in schizophrenia: Associations to neurocognition and clinical symptomatology

Ragini Verma, David R. Roalf, Kosha Ruparel, 2015, Schizophrenia Research.

Static posed and evoked facial expressions of emotions in schizophrenia

Ragini Verma, Ruben C. Gur, Raquel E. Gur, 2008, Schizophrenia Research.

A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation

Christos Davatzikos, Ragini Verma, Bilge Karaçali, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

Ragini Verma, Ani Nenkova, Ruben C. Gur, 2014, IEEE Transactions on Affective Computing.

Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech

Ragini Verma, Ani Nenkova, Houwei Cao, 2015, Comput. Speech Lang..

CrOssing fiber Modeling in the Peritumoral Area using dMRI (COMPARI)

D. Parker, R. Verma, S. Brem, 2023, bioRxiv.

Connectomic assessment of injury burden and longitudinal structural network alterations in moderate‐to‐severe traumatic brain injury

Jacob A. Alappatt, D. Parker, J. Whyte, 2021, bioRxiv.

Freewater estimatoR using iNtErpolated iniTialization (FERNET): Characterizing peritumoral edema using clinically feasible diffusion MRI data

Ragini Verma, Drew Parker, Ofer Pasternak, 2020, PloS one.

Edema-Informed Anatomically Constrained Particle Filter Tractography

Rachid Deriche, Maxime Descoteaux, Ragini Verma, 2018, MICCAI.

Phantomas: a flexible software library to simulate diffusion MR phantoms

Jean-Philippe Thiran, Maxime Descoteaux, Ragini Verma, 2014 .

GRAM: A framework for geodesic registration on anatomical manifolds

Christos Davatzikos, Dong Hye Ye, Ragini Verma, 2010, Medical Image Anal..

A Graph Representation and Similarity Measure for Brain Networks with Nodal Features

Ali Shokoufandeh, Ragini Verma, Drew Parker, 2018, GRAIL/Beyond-MIC@MICCAI.

Multifactorial Dynamics of White Matter Connectivity During Adolescence

Russell T. Shinohara, Ragini Verma, Mark A. Elliott, 2017, bioRxiv.

An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity

Robert T. Schultz, Luke Bloy, Nematollah Batmanghelich, 2012, Brain Connect..

Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry

Christos Davatzikos, Ragini Verma, Susumu Mori, 2005, Proc. Natl. Acad. Sci. USA.

Learning-based analysis of emotional impairments in schizophrenia

Peng Wang, Ragini Verma, Christian Köhler, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Effects of physiological noise in population analysis of diffusion tensor MRI data

Ragini Verma, Carlo Pierpaoli, Cheng Guan Koay, 2011, NeuroImage.

Towards a Quantified Network Portrait of a Population

Robert T. Schultz, Ragini Verma, Drew Parker, 2015, IPMI.

Free-water correction DTI-based tractography in brain tumor surgery: assessment with functional and electrophysiological mapping of the white matter

T. Papadopoulo, D. Parker, R. Verma, 2023, Acta Neurochirurgica.

Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras

Arman Savran, Ragini Verma, Ruben C. Gur, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

On non-linear characterization of tissue abnormality by constructing disease manifolds

Nematollah Batmanghelich, Ragini Verma, N. Batmanghelich, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Multiparametric tissue abnormality characterization using manifold regularization

Xiaoying Wu, Christos Davatzikos, Nematollah Batmanghelich, 2008, SPIE Medical Imaging.

Quantification of brain maturation and growth patterns in C57BL/6J mice via computational neuroanatomy of diffusion tensor images.

Christos Davatzikos, Ragini Verma, Susumu Mori, 2008, Cerebral cortex.

Tractography-Based Surgical Targeting for Thalamic Deep Brain Stimulation: A Comparison of Probabilistic vs Deterministic Fiber Tracking of the Dentato-Rubro-Thalamic Tract

D. Parker, G. Baltuch, R. Verma, 2022, Neurosurgery.

Tractography-based targeting of ventral intermediate nucleus: A comparison between conventional stereotactic targeting and diffusion tensor imaging-based targeting

D. Parker, G. Baltuch, R. Verma, 2021, bioRxiv.

HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies

Robert T. Schultz, Luke Bloy, Timothy P. L. Roberts, 2011, MICCAI.

Distance‐based analysis of variance for brain connectivity

Robert Schultz, Ragini Verma, Drew Parker, 2019, Biometrics.

Addressing the Challenge of Edema in Fiber Tracking

Luke Macyszyn, Ragini Verma, Mark A. Elliott, 2014 .

Automated diffusion tensor tractography: implementation and comparison to user-driven tractography.

Xiaoying Wu, Ragini Verma, Raquel E Gur, 2012, Academic radiology.

Structural Connectivity Analysis Using Finsler Geometry\ast

C. Westin, L. Florack, P. Savadjiev, 2022 .

On facilitating the use of HARDI in population studies by creating rotation-invariant markers

Ragini Verma, Emmanuel Caruyer, R. Verma, 2015, Medical Image Anal..

Enhanced Fiber Tractography Using Edema Correction: Application and Evaluation in High-Grade Gliomas

T. Lucas, D. Parker, R. Verma, 2021, Neurosurgery.

Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor

Christos Davatzikos, Ragini Verma, Sokratis Makrogiannis, 2007, IEEE Transactions on Medical Imaging.

Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images

Christos Davatzikos, Ragini Verma, Parmeshwar Khurd, 2007, IPMI.

Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities

Arman Savran, Ragini Verma, Ani Nenkova, 2015, IEEE Transactions on Cybernetics.

Fusion of white and gray matter geometry: A framework for investigating brain development

Peter Savadjiev, Robert T. Schultz, Carl-Fredrik Westin, 2014, Medical Image Anal..

Multichannel Image Registration by Feature-Based Information Fusion

Yang Li, Ragini Verma, Yang Li, 2011, IEEE Transactions on Medical Imaging.

Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering

Arman Savran, Ragini Verma, Ani Nenkova, 2012, ICMI '12.

Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology

Peter Savadjiev, Robert T. Schultz, Carl-Fredrik Westin, 2013, MICCAI.

Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders

Drew Parker, Junghoon Kim, Yusuf Osmanlioglu, 2020, UNSURE/GRAIL@MICCAI.

Linked Sex Differences in Cognition and Functional Connectivity in Youth.

Efstathios D. Gennatas, Alex R. Smith, H. Hakonarson, 2015, Cerebral cortex.

Free water volume fraction: an imaging biomarker to characterize moderate-to-severe traumatic brain injury.

Jacob A. Alappatt, D. Parker, J. Whyte, 2021, Journal of neurotrauma.

Disrupted Structural Connectome Is Associated with Both Psychometric and Real-World Neuropsychological Impairment in Diffuse Traumatic Brain Injury

D. Parker, H. Coslett, J. Whyte, 2014, Journal of the International Neuropsychological Society.

Connectomic consistency: a systematic stability analysis of structural and functional connectivity

Drew Parker, Yusuf Osmanlioglu, Ragini Verma, 2019, bioRxiv.

Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images

Christos Davatzikos, Ragini Verma, Ruben C. Gur, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs

Luke Bloy, Timothy P. L. Roberts, Ragini Verma, 2012, MICCAI.

Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging

Carl-Fredrik Westin, Ragini Verma, Tom Weidong Cai, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Lexical use in emotional autobiographical narratives of persons with schizophrenia and healthy controls

C. Kohler, R. Verma, A. Nenkova, 2015, Psychiatry Research.

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.

Siddhesh P. Thakur, D. Kontos, S. Bakas, 2019, Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes.

DESIGN, DEVELOPMENT AND EVALUATION METHODS FOR PREPRATION OF TRANSDERMAL PATCHES

R. Verma, 2017 .