Verma, Ragini

Harmonization of multi-site diffusion tensor imaging data

Fortin, J.-P., Parker, D., Tunç, B., Watanabe, T., Elliott, M. A., Ruparel, K., Roalf, D. R., Satterthwaite, T. D., Gur, R. C., Gur, R. E., et al. (2017) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 1,261

Sex differences in the structural connectome of the human brain

Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R. (2014) · Proceedings of the National Academy of Sciences

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 1,223

Neuroimaging of the Philadelphia Neurodevelopmental Cohort

Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., et al. (2014) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 504

Functional maturation of the executive system during adolescence

Satterthwaite, T. D., Wolf, D. H., Erus, G., Ruparel, K., Elliott, M. A., Gennatas, E. D., Hopson, R., Jackson, C., Prabhakaran, K., Bilker, W. B., et al. (2013) · The Journal of Neuroscience

Neural and Behavioral Psychology StudiesCognitive Abilities and Testing

Cited by 276

Limits to anatomical accuracy of diffusion tractography using modern approaches

Schilling, K. G., Nath, V., Hansen, C., Parvathaneni, P., Blaber, J., Gao, Y., Neher, P., Aydogan, D. B., Shi, Y., Ocampo-Pineda, M., et al. (2019) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 260

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

Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 253

Class-level spectral features for emotion recognition

Bitouk, D., Verma, R., & Nenkova, A. (2010) · Speech Communication

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 219

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

Davatzikos, C., Rathore, S., Bakas, S., Pati, S., Bergman, M., Kalarot, R., Sridharan, P., Gastounioti, A., Jahani, N., Cohen, E., et al. (2018) · Journal of Medical Imaging

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 204

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

Roalf, D. R., Quarmley, M., Elliott, M. A., Satterthwaite, T. D., Vandekar, S. N., Ruparel, K., Gennatas, E. D., Calkins, M. E., Moore, T. M., Hopson, R., et al. (2016) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 199

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

Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F.-C., Girard, G., Barakovic, M., Rafael-Patino, J., Yu, T., et al. (2021) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 182

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

Bhargava, A., Arnold, A. P., Bangasser, D. A., Denton, K. M., Gupta, A., Hilliard Krause, L. M., Mayer, E. A., McCarthy, M., Miller, W. L., Raznahan, A., et al. (2021) · Endocrine Reviews

Sex and Gender in HealthcareSexual Differentiation and Disorders

Cited by 130

The impact of in-scanner head motion on structural connectivity derived from diffusion MRI

Baum, G. L., Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunç, B., et al. (2018) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 116

Topologically dissociable patterns of development of the human cerebral cortex

Vandekar, S. N., Shinohara, R. T., Raznahan, A., Roalf, D. R., Ross, M., DeLeo, N., Ruparel, K., Verma, R., Wolf, D. H., Gur, R. C., et al. (2015) · The Journal of Neuroscience

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 100

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Pati, S., Singh, A., Rathore, S., Gastounioti, A., Bergman, M., Ngo, P., Ha, S. M., Bounias, D., Minock, J., Murphy, G., et al. (2020) · Lecture Notes in Computer Science

Radiomics and Machine Learning in Medical ImagingMedical Image Segmentation Techniques

Cited by 94

Static posed and evoked facial expressions of emotions in schizophrenia

Kohler, C. G., Martin, E. A., Stolar, N., Barrett, F. S., Verma, R., Brensinger, C., Bilker, W., Gur, R. E., & Gur, R. C. (2008) · Schizophrenia Research

Schizophrenia research and treatmentFace Recognition and Perception

Cited by 59

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

Rathore, S., Bakas, S., Pati, S., Akbari, H., Kalarot, R., Sridharan, P., Rozycki, M., Bergman, M., Tunc, B., Verma, R., et al. (2018) · Lecture Notes in Computer Science

Radiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification

Cited by 57

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

Savran, A., Cao, H., Nenkova, A., & Verma, R. (2015) · IEEE Transactions on Cybernetics

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 53

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

Osmanlıoğlu, Y., Alappatt, J. A., Parker, D., & Verma, R. (2020) · Journal of Neural Engineering

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 33

Diffusion MRI tractography filtering techniques change the topology of structural connectomes

Frigo, M., Deslauriers-Gauthier, S., Parker, D., Aziz Ould Ismail, A., John Kim, J., Verma, R., & Deriche, R. (2020) · Journal of Neural Engineering

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 19

Preoperative validation of edema-corrected tractography in neurosurgical practice: Translating surgeon insights into novel software implementation

Koga, S. F., Hodges, W. B., Adamyan, H., Hayes, T., Fecci, P. E., Tsvankin, V., Pradilla, G., Hoang, K. B., Lee, I. Y., Sankey, E. W., et al. (2024) · Frontiers in Neurology

Advanced Neuroimaging Techniques and ApplicationsGlioma Diagnosis and Treatment

Cited by 7

Distance-based analysis of variance for brain connectivity

Shinohara, R. T., Shou, H., Carone, M., Schultz, R., Tunc, B., Parker, D., Martin, M. L., & Verma, R. (2020) · Biometrics

Functional Brain Connectivity StudiesStatistical Methods and Inference

Cited by 6