Ragini Verma

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 35

Top Topics

Diffusion Tensor Imaging

Top Venues

Medical Image Anal.

Publications

Abhishek S. Jeyapratap, Drew Parker, Benjamin E. Yerys, Ragini Verma, Yusuf Osmanlioglu
Analysis of Structural Brain Network Topology Alterations in Autism and its Relationship with Autism Severity. ISBI (2023)
Ragini Verma, Shrey Agrawal, Anshul Jaiswal
Modulation Signaling-based Continuous Variable Quantum Key Distribution for Indoor Visible Light Communications. ANTS (2023)
Ragini Verma, Anshul Jaiswal, Anh T. Pham
Design and Analysis of Octa-phase Shift Keying Based Quantum Key Distribution System. IEEE Commun. Lett. 27 (10) (2023)
Adnan Ahmad, Drew Parker, Suhani Dheer, Zahra Riahi Samani, Ragini Verma
3D-QCNet - A pipeline for automated artifact detection in diffusion MRI images. Comput. Medical Imaging Graph. 103 (2023)
Ragini Verma, Anshul Jaiswal
Performance Analysis of QKD-based Terrestrial FSO System using QPSK under Atmospheric Turbulence. VTC2023-Spring (2023)
Akhilesh Kumar Savita, Rishabh Patial, Ragini Verma, Anshul Jaiswal
Experimental Implementation of FSO System using Low-cost Optical Transmitter. ANTS (2023)
Zahra Riahi Samani, Drew Parker, Hamed Akbari, Spyridon Bakas, Ronald L. Wolf, Steven Brem, Ragini Verma
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment. CoRR (2022)
Adnan Ahmad, Drew Parker, Zahra Riahi Samani, Ragini Verma
3D-QCNet - A Pipeline for Automated Artifact Detection in Diffusion MRI images. CoRR (2021)
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, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Perez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243 (2021)
Yusuf Osmanlioglu, Jacob A. Alappatt, Drew Parker, Ragini Verma
Analysis of Consistency in Structural and Functional Connectivity of Human Brain. ISBI (2020)
Rui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma, Yusuf Osmanlioglu
Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders. UNSURE/GRAIL@MICCAI (2020)
Tom C. J. Dela Haije, Peter Savadjiev, Andrea Fuster, Robert T. Schultz, Ragini Verma, Luc Florack, Carl-Fredrik Westin
Structural Connectivity Analysis Using Finsler Geometry. SIAM J. Imaging Sci. 12 (1) (2019)
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, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) (2019)
Eugene W. J. Choy, Winston M. K. Ho, Xiaohang Li, Ragini Verma, Li J. Sim, Kyong Jin Shim
Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness. IEEE BigData (2019)
Zahra Riahi Samani, Jacob Antony Alappatt, Drew Parker, Abdol Aziz Ould Ismail, Ragini Verma
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images. CoRR (2019)
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
System-level matching of structural and functional connectomes in the human brain. NeuroImage 199 (2019)
Yusuf Osmanlioglu, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma
A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury. BrainLes@MICCAI (1) (2018)
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, Danielle S. Bassett, Theodore D. Satterthwaite
The impact of in-scanner head motion on structural connectivity derived from diffusion MRI. NeuroImage 173 (2018)
Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, Lauren J. O'Donnell
Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage 172 (2018)
Ragini Verma, Yusuf Osmanlioglu, Abdol Aziz Ould Ismail
Multimodal Patho-Connectomics of Brain Injury. BrainLes@MICCAI (1) (2018)
Yusuf Osmanlioglu, Birkan Tunç, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ali Shokoufandeh, Ragini Verma
A Graph Representation and Similarity Measure for Brain Networks with Nodal Features. GRAIL/Beyond-MIC@MICCAI (2018)
Abdol Aziz Ould Ismail, Drew Parker, Moisés Hernández-Fernández, Steven Brem, Simon Alexander, Ofer Pasternak, Emmanuel Caruyer, Ragini Verma
Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination. BrainLes@MICCAI (1) (2018)
Samuel Deslauriers-Gauthier, Drew Parker, François Rheault, Rachid Deriche, Steven Brem, Maxime Descoteaux, Ragini Verma
Edema-Informed Anatomically Constrained Particle Filter Tractography. MICCAI (3) (2018)
Yasser Ghanbari, Luke Bloy, Birkan Tunç, Varsha Shankar, Timothy P. L. Roberts, J. Christopher Edgar, Robert T. Schultz, Ragini Verma
On characterizing population commonalities and subject variations in brain networks. Medical Image Anal. 38 (2017)
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, Russell T. Shinohara
Harmonization of multi-site diffusion tensor imaging data. NeuroImage 161 (2017)
Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos, Ragini Verma
Subject-Specific Structural Parcellations Based on Randomized AB-divergences. MICCAI (1) (2017)
Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. BrainLes@MICCAI (2017)
Takanori Watanabe, Birkan Tunç, Drew Parker, Junghoon Kim, Ragini Verma
Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection. MICCAI (1) (2016)
Fan Zhang, Peter Savadjiev, Tom Weidong Cai, Yang Song, Ragini Verma, Carl-Fredrik Westin, Lauren J. O'Donnell
Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging. ISBI (2016)
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, Ragini Verma, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur
The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort. NeuroImage 125 (2016)
Arman Savran, Houwei Cao, Ani Nenkova, Ragini Verma
Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities. IEEE Trans. Cybern. 45 (9) (2015)
Birkan Tunç, Varsha Shankar, Drew Parker, Robert T. Schultz, Ragini Verma
Towards a Quantified Network Portrait of a Population. IPMI (2015)
Houwei Cao, Ragini Verma, Ani Nenkova
Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech. Comput. Speech Lang. 29 (1) (2015)
Emmanuel Caruyer, Ragini Verma
On facilitating the use of HARDI in population studies by creating rotation-invariant markers. Medical Image Anal. 20 (1) (2015)
Houwei Cao, Arman Savran, Ragini Verma, Ani Nenkova
Acoustic and lexical representations for affect prediction in spontaneous conversations. Comput. Speech Lang. 29 (1) (2015)
Yasser Ghanbari, Alex R. Smith, Robert T. Schultz, Ragini Verma
Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding. Medical Image Anal. 18 (8) (2014)
Birkan Tunç, Yasser Ghanbari, Alex R. Smith, Juhi Pandey, Aaron Browne, Robert T. Schultz, Ragini Verma
PUNCH: Population Characterization of Heterogeneity. NeuroImage 98 (2014)
Yasser Ghanbari, Luke Bloy, Varsha Shankar, J. Christopher Edgar, Timothy P. L. Roberts, Robert T. Schultz, Ragini Verma
Functionally Driven Brain Networks Using Multi-layer Graph Clustering. MICCAI (3) (2014)
Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin
Fusion of white and gray matter geometry: A framework for investigating brain development. Medical Image Anal. 18 (8) (2014)
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, Ragini Verma, Christos Davatzikos, Hakon Hakonarson, Ruben C. Gur, Raquel E. Gur
Neuroimaging of the Philadelphia Neurodevelopmental Cohort. NeuroImage 86 (2014)
Birkan Tunç, William A. Parker, Madhura Ingalhalikar, Ragini Verma
Automated tract extraction via atlas based Adaptive Clustering. NeuroImage 102 (2014)
Houwei Cao, David G. Cooper, Michael K. Keutmann, Ruben C. Gur, Ani Nenkova, Ragini Verma
CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset. IEEE Trans. Affect. Comput. 5 (4) (2014)
Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl
Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI (2013)
Yasser Ghanbari, John D. Herrington, Ruben C. Gur, Robert T. Schultz, Ragini Verma
Locality Preserving Non-negative Basis Learning with Graph Embedding. IPMI (2013)
Arman Savran, Ruben C. Gur, Ragini Verma
Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras. ICCV Workshops (2013)
Yasser Ghanbari, Alex R. Smith, Robert T. Schultz, Ragini Verma
Connectivity Subnetwork Learning for Pathology and Developmental Variations. MICCAI (1) (2013)
Miraj Shah, David G. Cooper, Houwei Cao, Ruben C. Gur, Ani Nenkova, Ragini Verma
Action Unit Models of Facial Expression of Emotion in the Presence of Speech. ACII (2013)
Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin
Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology. MICCAI (1) (2013)
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, Christos Davatzikos, Raquel E. Gur, Ruben C. Gur
Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth. NeuroImage 83 (2013)
Houwei Cao, Ragini Verma, Ani Nenkova
Combining Ranking and Classification to Improve Emotion Recognition in Spontaneous Speech. INTERSPEECH (2012)
Arman Savran, Houwei Cao, Miraj Shah, Ani Nenkova, Ragini Verma
Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering. ICMI (2012)
Madhura Ingalhalikar, Alex R. Smith, Luke Bloy, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma
Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs. MICCAI (2) (2012)
Luke Bloy, Madhura Ingalhalikar, Nematollah Batmanghelich, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. Brain Connect. 2 (2) (2012)
Yasser Ghanbari, Luke Bloy, Kayhan N. Batmanghelich, Timothy P. L. Roberts, Ragini Verma
Dominant Component Analysis of Electrophysiological Connectivity Networks. MICCAI (3) (2012)
Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
White matter atlas generation using HARDI based automated parcellation. NeuroImage 59 (4) (2012)
Arvind Rao, Alex R. Smith, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
Peak Geodesic Concentration: A measure of WM complexity in HARDI. MMBIA (2012)
Madhura Ingalhalikar, William A. Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma
Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. MICCAI (3) (2012)
Youssef Rouchdy, Christos Davatzikos, Ragini Verma
Connectivity-based analysis: Application to white matter maturation in mouse brain. ISBI (2012)
Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin
Multi-scale Characterization of White Matter Tract Geometry. MICCAI (3) (2012)
Luke Bloy, Madhura Ingalhalikar, Ragini Verma
Neuronal white matter parcellation using spatially coherent normalized cuts. ISBI (2011)
Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Timothy P. L. Roberts, Robert T. Schultz, Ragini Verma
HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. MICCAI (2) (2011)
Lindsay Walker, Lin-Ching Chang, Cheng Guan Koay, Nikhil Sharma, Leonardo Cohen, Ragini Verma, Carlo Pierpaoli
Effects of physiological noise in population analysis of diffusion tensor MRI data. NeuroImage 54 (2) (2011)
Madhura Ingalhalikar, Drew Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma
Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. NeuroImage 57 (3) (2011)
Yang Li, Ragini Verma
Multichannel Image Registration by Feature-Based Information Fusion. IEEE Trans. Medical Imaging 30 (3) (2011)
Dmitri Bitouk, Ragini Verma, Ani Nenkova
Class-level spectral features for emotion recognition. Speech Commun. 52 (7-8) (2010)
Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma
Diffusion-Based Population Statistics Using Tract Probability Maps. MICCAI (1) (2010)
Madhura Ingalhalikar, Jinzhong Yang, Christos Davatzikos, Ragini Verma
DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. Int. J. Imaging Syst. Technol. 20 (2) (2010)
Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma
DTI Based Diagnostic Prediction of a Disease via Pattern Classification. MICCAI (1) (2010)
Demian Wassermann, Luke Bloy, Efstathios Kanterakis, Ragini Verma, Rachid Deriche
Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers. NeuroImage 51 (1) (2010)
Luke Bloy, Ragini Verma
Demons registration of high angular resolution diffusion images. ISBI (2010)
Jihun Hamm, Dong Hye Ye, Ragini Verma, Christos Davatzikos
GRAM: A framework for geodesic registration on anatomical manifolds. Medical Image Anal. 14 (5) (2010)
Jihun Hamm, Christos Davatzikos, Ragini Verma
Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. MICCAI (1) (2009)
Demian Wassermann, Luke Bloy, Ragini Verma, Rachid Deriche
Bayesian Framework for White Matter Fiber Similarity Measure. ISBI (2009)
Dmitri Bitouk, Ani Nenkova, Ragini Verma
Improving emotion recognition using class-level spectral features. INTERSPEECH (2009)
Yang Li, Ragini Verma
Multimodal Image Registration by Information Fusion at Feature Level. MICCAI (1) (2009)
Peng Wang, Ragini Verma
On Classifying Disease-Induced Patterns in the Brain Using Diffusion Tensor Images. MICCAI (1) (2008)
Jinzhong Yang, Dinggang Shen, Chandan Misra, Xiaoying Wu, Susan M. Resnick, Christos Davatzikos, Ragini Verma
Spatial normalization of diffusion tensor images based on anisotropic segmentation. Medical Imaging: Image Processing (2008)
Peng Wang, Christian Köhler, Elizabeth Martin, Neal Stolar, Ragini Verma
Learning-based analysis of emotional impairments in schizophrenia. CVPR Workshops (2008)
Ragini Verma, Parmeshwar Khurd, James Loughead, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos
Manifold based Morphometry applied to schizophrenia. ISBI (2008)
Luke Bloy, Ragini Verma
On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function. MICCAI (1) (2008)
Jinzhong Yang, Dinggang Shen, Christos Davatzikos, Ragini Verma
Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features. MICCAI (2) (2008)
Nematollah Batmanghelich, Ragini Verma
On non-linear characterization of tissue abnormality by constructing disease manifolds. CVPR Workshops (2008)
Kayhan N. Batmanghelich, Xiaoying Wu, Evangelia I. Zacharaki, Clyde E. Markowitz, Christos Davatzikos, Ragini Verma
Multiparametric tissue abnormality characterization using manifold regularization. Medical Imaging: Computer-Aided Diagnosis (2008)
Ragini Verma, Parmeshwar Khurd, Christos Davatzikos
On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps. IEEE Trans. Medical Imaging 26 (6) (2007)
Peng Wang, Christian Köhler, Ragini Verma
Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders. CVPR (2007)
Sajjad Baloch, Ragini Verma, Christos Davatzikos
An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis. IPMI (2007)
Peng Wang, Christian Köhler, Fred Barrett, Raquel E. Gur, Ruben C. Gur, Ragini Verma
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features. CVPR (2007)
Parmeshwar Khurd, Ragini Verma, Christos Davatzikos
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images. IPMI (2007)
Ragini Verma, Peng Wang
On Detecting Subtle Pathology via Tissue Clustering of Multi-parametric Data using Affinity Propagation. ICCV (2007)
Sokratis Makrogiannis, Ragini Verma, Christos Davatzikos
Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor. IEEE Trans. Medical Imaging 26 (4) (2007)
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-Koo Lee, Elias R. Melhem, Christos Davatzikos
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images. ISBI (2007)
Parmeshwar Khurd, Sajjad Baloch, Ruben C. Gur, Christos Davatzikos, Ragini Verma
Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images. CVPR (2007)
Ragini Verma, Christos Davatzikos
Manifold based analysis of diffusion tensor images using isomaps. ISBI (2006)
Sokratis Makrogiannis, Ragini Verma, Bilge Karaçali, Christos Davatzikos
A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation. CVPR Workshops (2006)
Parmeshwar Khurd, Ragini Verma, Christos Davatzikos
On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure. CVPR Workshops (2006)
Christos Davatzikos, Feby Abraham, George Biros, Ragini Verma
Correspondence detection in diffusion tensor images. ISBI (2006)
Ragini Verma, Susumu Mori, Dinggang Shen, Paul Yarowsky, Jiangyang Zhang, Christos Davatzikos
Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry. Proc. Natl. Acad. Sci. USA 102 (19) (2005)
Ragini Verma, Christos Davatzikos
Matching of Diffusion Tensor Images using Gabor Features. ISBI (2004)