| 2023 | VTC | Performance Analysis of QKD-based Terrestrial FSO System using QPSK under Atmospheric Turbulence. | Ragini Verma, Anshul Jaiswal |
| 2020 | MICCAI | Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders. | Rui Sherry Shen, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma, Yusuf Osmanlioglu |
| 2018 | MICCAI | Edema-Informed Anatomically Constrained Particle Filter Tractography. | Samuel Deslauriers-Gauthier, Drew Parker, Franois Rheault, Rachid Deriche, Steven Brem, Maxime Descoteaux, Ragini Verma |
| 2018 | MICCAI | Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination. | Abdol Aziz Ould Ismail, Drew Parker, Moiss Hernndez-Fernndez, Steven Brem, Simon Alexander, Ofer Pasternak, Emmanuel Caruyer, Ragini Verma |
| 2018 | MICCAI | A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury. | Yusuf Osmanlioglu, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ragini Verma |
| 2018 | MICCAI | A Graph Representation and Similarity Measure for Brain Networks with Nodal Features. | Yusuf Osmanlioglu, Birkan Tun, Jacob A. Alappatt, Drew Parker, Junghoon Kim, Ali Shokoufandeh, Ragini Verma |
| 2018 | MICCAI | Multimodal Patho-Connectomics of Brain Injury. | Ragini Verma, Yusuf Osmanlioglu, Abdol Aziz Ould Ismail |
| 2017 | MICCAI | Subject-Specific Structural Parcellations Based on Randomized AB-divergences. | Nicolas Honnorat, Drew Parker, Birkan Tun, Christos Davatzikos, Ragini Verma |
| 2017 | MICCAI | 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 Tun, Ragini Verma, Michel Bilello, Christos Davatzikos |
| 2016 | MICCAI | Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection. | Takanori Watanabe, Birkan Tun, Drew Parker, Junghoon Kim, Ragini Verma |
| 2014 | MICCAI | 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 |
| 2013 | ACII | 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 |
| 2013 | MICCAI | Connectivity Subnetwork Learning for Pathology and Developmental Variations. | Yasser Ghanbari, Alex R. Smith, Robert T. Schultz, Ragini Verma |
| 2013 | MICCAI | 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 |
| 2012 | ICMI | Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering. | Arman Savran, Houwei Cao, Miraj Shah, Ani Nenkova, Ragini Verma |
| 2012 | Interspeech | Combining Ranking and Classification to Improve Emotion Recognition in Spontaneous Speech. | Houwei Cao, Ragini Verma, Ani Nenkova |
| 2012 | MICCAI | Dominant Component Analysis of Electrophysiological Connectivity Networks. | Yasser Ghanbari, Luke Bloy, Kayhan N. Batmanghelich, Timothy P. L. Roberts, Ragini Verma |
| 2012 | MICCAI | Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. | Madhura Ingalhalikar, William A. Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma |
| 2012 | MICCAI | 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 |
| 2012 | MICCAI | Multi-scale Characterization of White Matter Tract Geometry. | Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin |
| 2011 | MICCAI | 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 |
| 2010 | MICCAI | DTI Based Diagnostic Prediction of a Disease via Pattern Classification. | Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma |
| 2010 | MICCAI | Diffusion-Based Population Statistics Using Tract Probability Maps. | Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma |
| 2009 | Interspeech | Improving emotion recognition using class-level spectral features. | Dmitri Bitouk, Ani Nenkova, Ragini Verma |
| 2009 | MICCAI | Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. | Jihun Hamm, Christos Davatzikos, Ragini Verma |
| 2009 | MICCAI | Multimodal Image Registration by Information Fusion at Feature Level. | Yang Li, Ragini Verma |
| 2008 | CVPR | On non-linear characterization of tissue abnormality by constructing disease manifolds. | Nematollah Batmanghelich, Ragini Verma |
| 2008 | CVPR | Learning-based analysis of emotional impairments in schizophrenia. | Peng Wang, Christian Khler, Elizabeth Martin, Neal Stolar, Ragini Verma |
| 2008 | MICCAI | On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function. | Luke Bloy, Ragini Verma |
| 2008 | MICCAI | On Classifying Disease-Induced Patterns in the Brain Using Diffusion Tensor Images. | Peng Wang, Ragini Verma |
| 2008 | MICCAI | Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features. | Jinzhong Yang, Dinggang Shen, Christos Davatzikos, Ragini Verma |
| 2007 | CVPR | 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 |
| 2007 | CVPR | Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features. | Peng Wang, Christian Khler, Fred Barrett, Raquel E. Gur, Ruben C. Gur, Ragini Verma |
| 2007 | CVPR | Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders. | Peng Wang, Christian Khler, Ragini Verma |
| 2007 | ICCV | On Detecting Subtle Pathology via Tissue Clustering of Multi-parametric Data using Affinity Propagation. | Ragini Verma, Peng Wang |
| 2006 | CVPR | On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure. | Parmeshwar Khurd, Ragini Verma, Christos Davatzikos |
| 2006 | CVPR | A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation. | Sokratis Makrogiannis, Ragini Verma, Bilge Karaali, Christos Davatzikos |