Nagesh Adluru

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 27

Top Topics

Statistical Analysis

Diffusion Tensor

Top Venues

Publications

Liang Shang, Yanli Liu, Zhengyang Lou, Shuxue Quan, Nagesh Adluru, Bochen Guan, William A. Sethares
Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention. CoRR (2023)
Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277 (2023)
Olivia Surgent, Jose M. Guerrero-Gonzalez, Douglas C. Dean III, Gregory R. Kirk, Nagesh Adluru, Steven R. Kecskemeti, Andrew L. Alexander, Brittany G. Travers
How we get a grip: Microstructural neural correlates of manual grip strength in children. NeuroImage 273 (2023)
Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257 (2022)
Molly B. Prigge, Nicholas T. Lange, Erin D. Bigler, Jace B. King, Douglas C. Dean III, Nagesh Adluru, Andrew L. Alexander, Janet E. Lainhart, Brandon A. Zielinski
A 16-year study of longitudinal volumetric brain development in males with autism. NeuroImage 236 (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)
Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz, Nagesh Adluru, Gregory R. Kirk, Peter A. Ferrazzano, Martin Styner, Andrew L. Alexander
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network. CoRR (2019)
Yilin Liu, Gregory R. Kirk, Brendon M. Nacewicz, Martin A. Styner, Mingren Shen, Dong Nie, Nagesh Adluru, Benjamin Yeske, Peter A. Ferrazzano, Andrew L. Alexander
Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images. DART/MIL3ID@MICCAI (2019)
Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. 9 (2) (2019)
Moo K. Chung, Zhan Luo, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith
Heritability of nested hierarchical structural brain network. EMBC (2018)
Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh
Efficient Relative Attribute Learning Using Graph Neural Networks. ECCV (14) (2018)
Rogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander, Vikas Singh, Nagesh Adluru
A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science. MICCAI (4) (2018)
Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR (2017)
Moo K. Chung, Jamie L. Hanson, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak
Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging. Brain Connect. 7 (6) (2017)
Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh
Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. CVPR Workshops (2017)
Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri
A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. ICCV (2017)
Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). CVPR (2016)
Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) (2016)
Douglas C. Dean III, Jonathan O'Muircheartaigh, Holly Dirks, Brittany G. Travers, Nagesh Adluru, Andrew L. Alexander, Sean C. L. Deoni
Mapping an index of the myelin g-ratio in infants using magnetic resonance imaging. NeuroImage 132 (2016)
Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. CVPR (2016)
Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh
Abundant Inverse Regression Using Sufficient Reduction and Its Applications. ECCV (3) (2016)
Douglas C. Dean III, Brittany G. Travers, Nagesh Adluru, Do P. M. Tromp, Daniel J. Destiche, Danica Samsin, Molly B. Prigge, Brandon A. Zielinski, P. Thomas Fletcher, Jeffrey S. Anderson, Alyson L. Froehlich, Erin D. Bigler, Nicholas T. Lange, Janet E. Lainhart, Andrew L. Alexander
Investigating the Microstructural Correlation of White Matter in Autism Spectrum Disorder. Brain Connect. 6 (5) (2016)
Nagesh Adluru, Xingwei Yang, Longin Jan Latecki
Sequential Monte Carlo for Maximum Weight Subgraphs with Application to Solving Image Jigsaw Puzzles. Int. J. Comput. Vis. 112 (3) (2015)
Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh
Interpolation on the Manifold of K Component GMMs. ICCV (2015)
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage 118 (2015)
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV (2015)
Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI (2015)
Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) (2014)
Ganesh Adluru, Yaniv Gur, Jeffrey S. Anderson, Lorie G. Richards, Nagesh Adluru, Edward V. R. DiBella
Assessment of white matter microstructure in stroke patients using NODDI. EMBC (2014)
Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung
The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. MICCAI (3) (2014)
Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR (2014)
Nagesh Adluru, Hui Zhang, Do P. M. Tromp, Andrew L. Alexander
Effects of DTI spatial normalization on white matter tract reconstructions. Medical Imaging: Image Processing (2013)
Nagesh Adluru, Bret M. Hanlon, Antoine Lutz, Janet E. Lainhart, Andrew L. Alexander, Richard J. Davidson
Penalized Likelihood Phenotyping: Unifying Voxelwise Analyses and Multi-Voxel Pattern Analyses in Neuroimaging - Penalized Likelihood Phenotyping. Neuroinformatics 11 (2) (2013)
Moo K. Chung, Jamie L. Hanson, Hyekyoung Lee, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak
Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study. MICCAI (1) (2013)
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Sylvia Charchut, Johnson J. GadElkarim, Lori L. Altshuler, Teena Moody, Anand R. Kumar, Vikas Singh, Alex D. Leow
Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. MICCAI (3) (2013)
Nagesh Adluru, Hui Zhang, Andrew S. Fox, Steven E. Shelton, Chad M. Ennis, Anne M. Bartosic, Jonathan A. Oler, Do P. M. Tromp, Elizabeth Zakszewski, James C. Gee, Ned H. Kalin, Andrew L. Alexander
A diffusion tensor brain template for Rhesus Macaques. NeuroImage 59 (1) (2012)
Nagesh Adluru, Vikas Singh, Andrew L. Alexander
Adaptive cuts for extracting specific white matter tracts. ISBI (2012)
Nagesh Adluru, Chad M. Ennis, Richard J. Davidson, Andrew L. Alexander
Max margin general linear modeling for neuroimage analyses. MMBIA (2012)
Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson
Scalable brain network construction on white matter fibers. Medical Imaging: Image Processing (2011)
Andrew L. Alexander, Samuel A. Hurley, Alexey A. Samsonov, Nagesh Adluru, Ameer Pasha Hosseinbor, Pouria Mossahebi, Do P. M. Tromp, Elizabeth Zakszewski, Aaron S. Field
Characterization of Cerebral White Matter Properties Using Quantitative Magnetic Resonance Imaging Stains. Brain Connect. 1 (6) (2011)
Moo K. Chung, Seongho Seo, Nagesh Adluru, Houri K. Vorperian
Hot Spots Conjecture and Its Application to Modeling Tubular Structures. MLMI (2011)
Nagesh Adluru, Moo K. Chung, Nicholas T. Lange, Janet E. Lainhart, Andrew L. Alexander
Applications of Epsilon Radial Networks in Neuroimage Analyses. PSIVT (1) (2011)
Xingwei Yang, Nagesh Adluru, Longin Jan Latecki
Particle filter with state permutations for solving image jigsaw puzzles. CVPR (2011)
Do P. M. Tromp, Nagesh Adluru, Andrew L. Alexander, Marina E. Emborg
Simulating convection-enhanced delivery in the putamen using probabilistic tractography. ISBI (2011)
Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Andrew L. Alexander, Vikas Singh
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures. NIPS (2010)
ChengEn Lu, Nagesh Adluru, Haibin Ling, Guangxi Zhu, Longin Jan Latecki
Contour based object detection using part bundles. Comput. Vis. Image Underst. 114 (7) (2010)
Rolf Lakämper, Nagesh Adluru
Using virtual scans for improved mapping and evaluation. Auton. Robots 27 (4) (2009)
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Xingwei Yang, Haibin Ling
Shape guided contour grouping with particle filters. ICCV (2009)
Nagesh Adluru, Longin Jan Latecki
Contour Grouping Based on Contour-Skeleton Duality. Int. J. Comput. Vis. 83 (1) (2009)
Nagesh Adluru, Longin Jan Latecki, Marc Sobel, Rolf Lakämper
Merging maps of multiple robots. ICPR (2008)
Xingwei Yang, Nagesh Adluru, Longin Jan Latecki, Xiang Bai, Zygmunt Pizlo
Symmetry of Shapes Via Self-similarity. ISVC (2) (2008)
Rolf Lakaemper, Nagesh Adluru
Using virtual scans to improve alignment performance in robot mapping. PerMIS (2008)
Rolf Lakämper, Nagesh Adluru
Improving sparse laser scan alignment with Virtual Scans. IROS (2008)
Nagesh Adluru, Longin Jan Latecki, Rolf Lakämper, Thomas Young, Xiang Bai, Ari D. Gross
Contour Grouping Based on Local Symmetry. ICCV (2007)
Rolf Lakaemper, Andreas Nüchter, Nagesh Adluru, Longin Jan Latecki
LuM and FFS SLAM: an example for comparison using grid and pose based evaluation methods. PerMIS (2007)
Rolf Lakämper, Nagesh Adluru, Longin Jan Latecki, Raj Madhavan
Multi robot mapping using force field simulation. J. Field Robotics 24 (8-9) (2007)
Rolf Lakämper, Nagesh Adluru, Longin Jan Latecki
Force Field Based n-Scan Alignment. EMCR (2007)