Force Field Based n-Scan Alignment. - Rolf Lakämper; Nagesh Adluru; Longin Jan Latecki (EMCR, 2007)

Contour Grouping Based on Local Symmetry. - Nagesh Adluru; Longin Jan Latecki; Rolf Lakämper; Thomas Young; Xiang Bai; Ari D. Gross (ICCV, 2007)

Performance of 6D LuM and FFS SLAM: an example for comparison using grid and pose based evaluation methods. - Rolf Lakaemper; Andreas Nüchter; Nagesh Adluru; Longin Jan Latecki (PerMIS, 2007)

Multi robot mapping using force field simulation. - Rolf Lakämper; Nagesh Adluru; Longin Jan Latecki; Raj Madhavan 001 (J. Field Robotics, 2007)

Merging maps of multiple robots. - Nagesh Adluru; Longin Jan Latecki; Marc Sobel; Rolf Lakämper (ICPR, 2008)

Improving sparse laser scan alignment with Virtual Scans. - Rolf Lakämper; Nagesh Adluru (IROS, 2008)

Symmetry of Shapes Via Self-similarity. - Xingwei Yang; Nagesh Adluru; Longin Jan Latecki; Xiang Bai; Zygmunt Pizlo (ISVC (2), 2008)

Using virtual scans to improve alignment performance in robot mapping. - Rolf Lakaemper; Nagesh Adluru (PerMIS, 2008)

Shape guided contour grouping with particle filters. - ChengEn Lu; Longin Jan Latecki; Nagesh Adluru; Xingwei Yang; Haibin Ling (ICCV, 2009)

Using virtual scans for improved mapping and evaluation. - Rolf Lakämper; Nagesh Adluru (Auton. Robots, 2009)

Contour Grouping Based on Contour-Skeleton Duality. - Nagesh Adluru; Longin Jan Latecki (Int. J. Comput. Vis., 2009)

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures. - Kamiya Motwani; Nagesh Adluru; Chris Hinrichs; Andrew L. Alexander; Vikas Singh (NIPS, 2010)

Contour based object detection using part bundles. - ChengEn Lu; Nagesh Adluru; Haibin Ling; Guangxi Zhu; Longin Jan Latecki (Comput. Vis. Image Underst., 2010)

Particle filter with state permutations for solving image jigsaw puzzles. - Xingwei Yang; Nagesh Adluru; Longin Jan Latecki (CVPR, 2011)

Simulating convection-enhanced delivery in the putamen using probabilistic tractography. - Do P. M. Tromp; Nagesh Adluru; Andrew L. Alexander; Marina E. Emborg (ISBI, 2011)

Hot Spots Conjecture and Its Application to Modeling Tubular Structures. - Moo K. Chung; Seongho Seo; Nagesh Adluru; Houri K. Vorperian (MLMI, 2011)

Scalable brain network construction on white matter fibers. - Moo K. Chung; Nagesh Adluru; Kim M. Dalton; Andrew L. Alexander; Richard J. Davidson (Image Processing, 2011)

Applications of Epsilon Radial Networks in Neuroimage Analyses. - Nagesh Adluru; Moo K. Chung; Nicholas T. Lange; Janet E. Lainhart; Andrew L. Alexander (PSIVT (1), 2011)

Characterization of Cerebral White Matter Properties Using Quantitative Magnetic Resonance Imaging Stains. - 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 (Brain Connect., 2011)

Adaptive cuts for extracting specific white matter tracts. - Nagesh Adluru; Vikas Singh; Andrew L. Alexander (ISBI, 2012)

Max margin general linear modeling for neuroimage analyses. - Nagesh Adluru; Chad M. Ennis; Richard J. Davidson; Andrew L. Alexander (MMBIA, 2012)

A diffusion tensor brain template for Rhesus Macaques. - Nagesh Adluru; Hui Zhang 005; 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 (NeuroImage, 2012)

Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study. - Moo K. Chung; Jamie L. Hanson; Hyekyoung Lee; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; Seth D. Pollak (MICCAI (1), 2013)

Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. - 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 (MICCAI (3), 2013)

Effects of DTI spatial normalization on white matter tract reconstructions. - Nagesh Adluru; Hui Zhang 005; Do P. M. Tromp; Andrew L. Alexander (Image Processing, 2013)

Penalized Likelihood Phenotyping: Unifying Voxelwise Analyses and Multi-Voxel Pattern Analyses in Neuroimaging - Penalized Likelihood Phenotyping. - Nagesh Adluru; Bret M. Hanlon; Antoine Lutz; Janet E. Lainhart; Andrew L. Alexander; Richard J. Davidson (Neuroinformatics, 2013)

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. - Hyunwoo J. Kim; Barbara B. Bendlin; Nagesh Adluru; Maxwell D. Collins; Moo K. Chung; Sterling C. Johnson; Richard J. Davidson; Vikas Singh (CVPR, 2014)

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. - Hyunwoo J. Kim; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson; Baba C. Vemuri; Vikas Singh (ECCV (2), 2014)

Assessment of white matter microstructure in stroke patients using NODDI. - Ganesh Adluru; Yaniv Gur; Jeffrey S. Anderson; Lorie G. Richards; Nagesh Adluru; Edward V. R. DiBella (EMBC, 2014)

The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. - Ameer Pasha Hosseinbor; Won Hwa Kim; Nagesh Adluru; Amit Acharya; Houri K. Vorperian; Moo K. Chung (MICCAI (3), 2014)

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. - Seong Jae Hwang; Maxwell D. Collins; Sathya N. Ravi; Vamsi K. Ithapu; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ICCV, 2015)

Interpolation on the Manifold of K Component GMMs. - Hyunwoo J. Kim; Nagesh Adluru; Monami Banerjee; Baba C. Vemuri; Vikas Singh (ICCV, 2015)

Multi-resolution statistical analysis on graph structured data in neuroimaging. - Won Hwa Kim; Vikas Singh; Moo K. Chung; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson (ISBI, 2015)

Sequential Monte Carlo for Maximum Weight Subgraphs with Application to Solving Image Jigsaw Puzzles. - Nagesh Adluru; Xingwei Yang; Longin Jan Latecki (Int. J. Comput. Vis., 2015)

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. - Won Hwa Kim; Nagesh Adluru; Moo K. Chung; Ozioma C. Okonkwo; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (NeuroImage, 2015)

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. - Seong Jae Hwang; Nagesh Adluru; Maxwell D. Collins; Sathya N. Ravi; Barbara B. Bendlin; Sterling C. Johnson; Vikas Singh (CVPR, 2016)

Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). - Won Hwa Kim; Hyunwoo J. Kim; Nagesh Adluru; Vikas Singh (CVPR, 2016)

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. - Won Hwa Kim; Seong Jae Hwang; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ECCV (6), 2016)

Abundant Inverse Regression Using Sufficient Reduction and Its Applications. - Hyunwoo J. Kim; Brandon M. Smith 001; Nagesh Adluru; Charles R. Dyer; Sterling C. Johnson; Vikas Singh (ECCV (3), 2016)

Investigating the Microstructural Correlation of White Matter in Autism Spectrum Disorder. - 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; et al. (Brain Connect., 2016)

Mapping an index of the myelin g-ratio in infants using magnetic resonance imaging. - Douglas C. Dean III; Jonathan O'Muircheartaigh; Holly Dirks; Brittany G. Travers; Nagesh Adluru; Andrew L. Alexander; Sean C. L. Deoni (NeuroImage, 2016)

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. - Hyunwoo J. Kim; Nagesh Adluru; Heemanshu Suri; Baba C. Vemuri; Sterling C. Johnson; Vikas Singh (CVPR, 2017)

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. - Ligang Zheng; Hyunwoo J. Kim; Nagesh Adluru; Michael A. Newton; Vikas Singh (CVPR Workshops, 2017)

A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. - Rudrasis Chakraborty; Vikas Singh; Nagesh Adluru; Baba C. Vemuri (ICCV, 2017)

Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging. - Moo K. Chung; Jamie L. Hanson; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; Seth D. Pollak (Brain Connect., 2017)

Efficient Relative Attribute Learning Using Graph Neural Networks. - Zihang Meng; Nagesh Adluru; Hyunwoo J. Kim; Glenn Fung; Vikas Singh (ECCV (14), 2018)

Heritability of nested hierarchical structural brain network. - Moo K. Chung; Zhan Luo; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; H. Hill Goldsmith (EMBC, 2018)

A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science. - Rogers Jeffrey Leo John; Jignesh M. Patel; Andrew L. Alexander; Vikas Singh; Nagesh Adluru (MICCAI (4), 2018)

Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images. - 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 (DART/MIL3ID@MICCAI, 2019)

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. - Seong Jae Hwang; Nagesh Adluru; Won Hwa Kim; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (Brain Connect., 2019)

Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network. - Yilin Liu; Gengyan Zhao; Brendon M. Nacewicz; Nagesh Adluru; Gregory R. Kirk; Peter A. Ferrazzano; Martin Styner; Andrew L. Alexander (CoRR, 2019)

A 16-year study of longitudinal volumetric brain development in males with autism. - 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 (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - 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; et al. (NeuroImage, 2021)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention. - Liang Shang; Yanli Liu; Zhengyang Lou; Shuxue Quan; Nagesh Adluru; Bochen Guan; William A. Sethares (CoRR, 2023)

How we get a grip: Microstructural neural correlates of manual grip strength in children. - Olivia Surgent; Jose M. Guerrero-Gonzalez; Douglas C. Dean III; Gregory R. Kirk; Nagesh Adluru; Steven R. Kecskemeti; Andrew L. Alexander; Brittany G. Travers (NeuroImage, 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - 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; et al. (NeuroImage, 2023)

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. - Nancy Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Joseph Yuan-Mou Yang; Ye Wu 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

Segmenting Small Stroke Lesions with Novel Labeling Strategies. - Liang Shang; Zhengyang Lou; Andrew L. Alexander; Vivek Prabhakaran; William A. Sethares; Veena A. Nair; Nagesh Adluru (MLCN@MICCAI, 2024)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. - Nancy R. Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Jian Chen; Joseph Yuan-Mou Yang; Ye Wu; Yifei He; et al. (CoRR, 2024)

Stroke Lesion Segmentation Using Multi-Stage Cross-Scale Attention. - Liang Shang; William A. Sethares; Anusha Adluru; Andrew L. Alexander; Vivek Prabhakaran; Veena A. Nair; Nagesh Adluru (ISBI, 2025)