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2020 – today
- 2023
[j33]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: 102151 (2023)- [j32]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): 2677-2681 (2023) - [c62]Akhilesh Kumar Savita, Rishabh Patial, Ragini Verma, Anshul Jaiswal:
Experimental Implementation of FSO System using Low-cost Optical Transmitter. ANTS 2023: 1-6 - [c61]Ragini Verma, Shrey Agrawal, Anshul Jaiswal:
Modulation Signaling-based Continuous Variable Quantum Key Distribution for Indoor Visible Light Communications. ANTS 2023: 1-6 - [c60]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: 1-4 - [c59]Ragini Verma, Anshul Jaiswal:
Performance Analysis of QKD-based Terrestrial FSO System using QPSK under Atmospheric Turbulence. VTC2023-Spring 2023: 1-6 - 2022
- [i3]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 abs/2208.14445 (2022) - 2021
- [j31]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 M. 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-Pérez, 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: 118502 (2021) - [i2]Adnan Ahmad, Drew Parker, Zahra Riahi Samani, Ragini Verma:
3D-QCNet - A Pipeline for Automated Artifact Detection in Diffusion MRI images. CoRR abs/2103.05285 (2021) - 2020
- [c58]Yusuf Osmanlioglu, Jacob A. Alappatt, Drew Parker, Ragini Verma:
Analysis of Consistency in Structural and Functional Connectivity of Human Brain. ISBI 2020: 1694-1697 - [c57]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: 131-141
2010 – 2019
- 2019
- [j30]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: 93-104 (2019) - [j29]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): 551-575 (2019) - [c56]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: 6024-6026 - [c55]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: 380-394 - [i1]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 abs/1911.06816 (2019) - 2018
- [j28]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: 826-837 (2018) - [j27]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: 275-286 (2018) - [c54]Ragini Verma, Yusuf Osmanlioglu, Abdol Aziz Ould Ismail:
Multimodal Patho-Connectomics of Brain Injury. BrainLes@MICCAI (1) 2018: 3-14 - [c53]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: 14-23 - [c52]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: 123-131 - [c51]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: 189-198 - [c50]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: 375-382 - 2017
- [j26]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: 215-229 (2017) - [j25]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: 149-170 (2017) - [c49]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: 133-145 - [c48]Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos, Ragini Verma:
Subject-Specific Structural Parcellations Based on Randomized AB-divergences. MICCAI (1) 2017: 407-415 - 2016
- [j24]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: 903-919 (2016) - [c47]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: 564-567 - [c46]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: 166-174 - 2015
- [j23]Houwei Cao, Ragini Verma, Ani Nenkova:
Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech. Comput. Speech Lang. 29(1): 186-202 (2015) - [j22]Houwei Cao, Arman Savran, Ragini Verma, Ani Nenkova:
Acoustic and lexical representations for affect prediction in spontaneous conversations. Comput. Speech Lang. 29(1): 203-217 (2015) - [j21]Emmanuel Caruyer, Ragini Verma:
On facilitating the use of HARDI in population studies by creating rotation-invariant markers. Medical Image Anal. 20(1): 87-96 (2015) - [j20]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): 1927-1941 (2015) - [c45]Birkan Tunç, Varsha Shankar, Drew Parker, Robert T. Schultz, Ragini Verma:
Towards a Quantified Network Portrait of a Population. IPMI 2015: 650-661 - 2014
- [j19]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): 1337-1348 (2014) - [j18]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): 1349-1360 (2014) - [j17]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: 544-553 (2014) - [j16]Birkan Tunç, Yasser Ghanbari, Alex R. Smith, Juhi Pandey, Aaron Browne, Robert T. Schultz, Ragini Verma:
PUNCH: Population Characterization of Heterogeneity. NeuroImage 98: 50-60 (2014) - [j15]Birkan Tunç, William A. Parker, Madhura Ingalhalikar, Ragini Verma:
Automated tract extraction via atlas based Adaptive Clustering. NeuroImage 102: 596-607 (2014) - [j14]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): 377-390 (2014) - [c44]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: 113-120 - [p1]Madhura Ingalhalikar, Parmeshwar Khurd, Ragini Verma:
Kernel-Based Morphometry of Diffusion Tensor Images. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 229-247 - 2013
- [j13]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: 45-57 (2013) - [c43]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: 49-54 - [c42]Arman Savran, Ruben C. Gur, Ragini Verma:
Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras. ICCV Workshops 2013: 75-82 - [c41]Yasser Ghanbari, John D. Herrington, Ruben C. Gur, Robert T. Schultz, Ragini Verma:
Locality Preserving Non-negative Basis Learning with Graph Embedding. IPMI 2013: 316-327 - [c40]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: 730-741 - [c39]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: 50-57 - [c38]Yasser Ghanbari, Alex R. Smith, Robert T. Schultz, Ragini Verma:
Connectivity Subnetwork Learning for Pathology and Developmental Variations. MICCAI (1) 2013: 90-97 - 2012
- [j12]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): 69-79 (2012) - [j11]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): 4055-4063 (2012) - [c37]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: 485-492 - [c36]Houwei Cao, Ragini Verma, Ani Nenkova:
Combining Ranking and Classification to Improve Emotion Recognition in Spontaneous Speech. INTERSPEECH 2012: 358-361 - [c35]Youssef Rouchdy, Christos Davatzikos, Ragini Verma:
Connectivity-based analysis: Application to white matter maturation in mouse brain. ISBI 2012: 54-57 - [c34]Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin:
Multi-scale Characterization of White Matter Tract Geometry. MICCAI (3) 2012: 34-41 - [c33]Yasser Ghanbari, Luke Bloy, Kayhan N. Batmanghelich, Timothy P. L. Roberts, Ragini Verma:
Dominant Component Analysis of Electrophysiological Connectivity Networks. MICCAI (3) 2012: 231-238 - [c32]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: 254-261 - [c31]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: 468-475 - [c30]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: 233-238 - 2011
- [j10]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): 1168-1177 (2011) - [j9]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): 918-927 (2011) - [j8]Yang Li, Ragini Verma:
Multichannel Image Registration by Feature-Based Information Fusion. IEEE Trans. Medical Imaging 30(3): 707-720 (2011) - [c29]Luke Bloy, Madhura Ingalhalikar, Ragini Verma:
Neuronal white matter parcellation using spatially coherent normalized cuts. ISBI 2011: 2061-2065 - [c28]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: 234-241 - 2010
- [j7]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): 99-107 (2010) - [j6]Jihun Hamm, Dong Hye Ye, Ragini Verma, Christos Davatzikos:
GRAM: A framework for geodesic registration on anatomical manifolds. Medical Image Anal. 14(5): 633-642 (2010) - [j5]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): 228-241 (2010) - [j4]Dmitri Bitouk, Ragini Verma, Ani Nenkova:
Class-level spectral features for emotion recognition. Speech Commun. 52(7-8): 613-625 (2010) - [c27]Luke Bloy, Ragini Verma:
Demons registration of high angular resolution diffusion images. ISBI 2010: 1013-1016 - [c26]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: 558-565 - [c25]Demian Wassermann, Efstathios Kanterakis, Ruben C. Gur, Rachid Deriche, Ragini Verma:
Diffusion-Based Population Statistics Using Tract Probability Maps. MICCAI (1) 2010: 631-639
2000 – 2009
- 2009
- [c24]Dmitri Bitouk, Ani Nenkova, Ragini Verma:
Improving emotion recognition using class-level spectral features. INTERSPEECH 2009: 2023-2026 - [c23]Demian Wassermann, Luke Bloy, Ragini Verma, Rachid Deriche:
Bayesian Framework for White Matter Fiber Similarity Measure. ISBI 2009: 815-818 - [c22]Yang Li, Ragini Verma:
Multimodal Image Registration by Information Fusion at Feature Level. MICCAI (1) 2009: 624-631 - [c21]Jihun Hamm, Christos Davatzikos, Ragini Verma:
Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. MICCAI (1) 2009: 680-687 - 2008
- [c20]Nematollah Batmanghelich, Ragini Verma:
On non-linear characterization of tissue abnormality by constructing disease manifolds. CVPR Workshops 2008: 1-8 - [c19]Peng Wang, Christian Köhler, Elizabeth Martin, Neal Stolar, Ragini Verma:
Learning-based analysis of emotional impairments in schizophrenia. CVPR Workshops 2008: 1-8 - [c18]Ragini Verma, Parmeshwar Khurd, James Loughead, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos:
Manifold based Morphometry applied to schizophrenia. ISBI 2008: 704-707 - [c17]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: 691516 - [c16]Luke Bloy, Ragini Verma:
On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function. MICCAI (1) 2008: 1-8 - [c15]Jinzhong Yang, Dinggang Shen, Christos Davatzikos, Ragini Verma:
Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features. MICCAI (2) 2008: 905-913 - [c14]Peng Wang, Ragini Verma:
On Classifying Disease-Induced Patterns in the Brain Using Diffusion Tensor Images. MICCAI (1) 2008: 908-916 - [c13]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: 69140L - 2007
- [j3]Sokratis Makrogiannis, Ragini Verma, Christos Davatzikos:
Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor. IEEE Trans. Medical Imaging 26(4): 619-631 (2007) - [j2]Ragini Verma, Parmeshwar Khurd, Christos Davatzikos:
On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps. IEEE Trans. Medical Imaging 26(6): 772-778 (2007) - [c12]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 - [c11]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 - [c10]Peng Wang, Christian Köhler, Ragini Verma:
Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders. CVPR 2007 - [c9]Ragini Verma, Peng Wang:
On Detecting Subtle Pathology via Tissue Clustering of Multi-parametric Data using Affinity Propagation. ICCV 2007: 1-8 - [c8]Parmeshwar Khurd, Ragini Verma, Christos Davatzikos:
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images. IPMI 2007: 581-593 - [c7]Sajjad Baloch, Ragini Verma, Christos Davatzikos:
An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis. IPMI 2007: 594-606 - [c6]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: 600-603 - 2006
- [c5]Parmeshwar Khurd, Ragini Verma, Christos Davatzikos:
On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure. CVPR Workshops 2006: 61 - [c4]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: 74 - [c3]Christos Davatzikos, Feby Abraham, George Biros, Ragini Verma:
Correspondence detection in diffusion tensor images. ISBI 2006: 646-649 - [c2]Ragini Verma, Christos Davatzikos:
Manifold based analysis of diffusion tensor images using isomaps. ISBI 2006: 790-793 - 2005
- [j1]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): 6978-6983 (2005) - 2004
- [c1]Ragini Verma, Christos Davatzikos:
Matching of Diffusion Tensor Images using Gabor Features. ISBI 2004: 396-399
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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