Ragini is an Assistant Professor in Section of Biomedical Image Analysis, Department of Radiology at UPenn. She has masters in Mathematics and Computer Applications followed by a PhD in computer vision and mathematics, from IIT Delhi (India). She did two years of postdoc at INRIA, Rhone-Alpes, with the MOVI project (currently LEARS and PERCEPTION). She then did two years of post doc in medical imaging at SBIA, prior to taking up her current position. Ragini's research interests span the area of diffusion tensor imaging, multi-modality statistics and facial expression analysis. She is actively involved in several clinical studies in schizophrenia, aging, tumors and multiple sclerosis as well as projects in animal imaging.
Ragini works in the broad area of multi-parametric image analysis which aims at integrating several channels of information (MRI, genetic and clinical scores) to solve a clinical or biological problem. She currently focuses on three manifestations of this broad research problem:
* statistics of diffusion tensor imaging (DTI), where conventional approaches, including linear statistics, are not valid since the underlying imaging data lies on nonlinear manifolds
* combining different MR protocols to enhance tissue information to better characterize abnormality in normal appearing tissue affected by pathology; and
* automated facial expression analysis, where underlying non-linear variation in expression if well characterized and quantified, can explain differences between patients with neuro-psychiatric disorders and controls.
Sample of Significant Publications
Christopher Alvino, Christian Kohler, Frederick Barrett, Raquel E. Gur, Ruben C. Gur, Ragini Verma. Computerized Measurement of Facial Expression of Emotions in Schizophrenia. Journal of Neuroscience Methods. 2007. 163(2): 350-361.
Paolo G. P. Nucifora, Ragini Verma, Elias Melhem, Raquel Gur, Ruben Gur. Leftward asymmetry in relative fiber density of the arcuate fasciculus. Neuroreport. 2005. 16(8): 791-794.
Paolo Nucifora, Ragini Verma, Seung-Koo Lee, Elias Melhem. Diffusion MR imaging and tractography: exploring brain microstructure and connectivity. Radiology. 2007. 245(2): 367-384.
Peng Wang, Frederick Barrett, Elizabeth Martin, Marina Milanova, Raquel E Gur, Ruben C Gur, Christian Kohler, Ragini Verma. Automated Video Based Facial Expression Analysis of Neuropsychiatric Disorders. Journal of Neuroscience Methods. 2007. 168(1): 224-238.
Ragini Choudhury Verma, Cordelia Schmid, Krystian Mikolajczyk. Face detection and tracking in a video by propagating detection possibilities. Pattern Analysis and Machine Intelligence. 2003. 25(10): 1215-1228.
Ragini Choudhury, J. B. Srivastava, Santanu Chaudhury. Reconstruction based Recognition of Scenes with Translationally Repeated Quadrics. Pattern Analysis and Machine Intelligence. 2001. 23(6): 617-632.
Ragini Choudhury, Santanu Chaudhury, J. B. Srivastava. A Framework for Reconstruction based Recognition of Partially Occluded Repeated Objects. Journal of Mathematical Imaging and Vision. 2001. 14: 5-20.
Ragini Choudhury, Santanu Chaudhury, J. B. Srivastava. Reconstruction based Recognition of Scenes with Multiple Repeated Components. Computer Vision and Image Understanding. 2001. 84(3): 325-360.
Ragini Verma , Christos Davatzikos, James Loughead, Tim Indersmitten, Ranliang Hu, Christian Kohler, Raquel E. Gur, Ruben C. Gur. Quantification of facial expressions using high-dimensional shape transformations. Journal of Neuroscience Methods. 2005. 141(1): 61-73.
Ragini Verma, Parmeshwar Khurd, Christos Davatzikos. On Analyzing Diffusion Tensor Images by Identifying Manifold Structure using Isomaps. IEEE Transactions on Medical Imaging. 2007. 26(6): 772-778.
Ragini Verma, Susumu Mori, Dinggang Shen, Paul Yarowsky, Christos Davatzikos. Spatio-temporal maturation patterns of murine brain quantified via diffusion tensor MRI and deformation-based morphometry. Proceedings of the National Academy of Sciences. 2005. 102(19): 6978-6983.
Sokratis Makrogiannis, Ragini Verma, Christos Davatzikos. Anatomical Equivalence Class: A Morphological Analysis Framework using a Lossless Shape Descriptor. IEEE Transactions on Medical Imaging. 2007. 26(4): 619-631.