Nagesh Adluru
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2007–2024
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | 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, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, William Consagra, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristn-Vega, Santiago Aja-Fernndez, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman |
| 2024 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2018 | ECCV | Efficient Relative Attribute Learning Using Graph Neural Networks. | Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh |
| 2018 | MICCAI | 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 |
| 2017 | CVPR | 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 |
| 2017 | CVPR | 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 |
| 2017 | ICCV | A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. | Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri |
| 2016 | CVPR | 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 |
| 2016 | CVPR | 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 |
| 2016 | ECCV | 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 |
| 2016 | ECCV | Abundant Inverse Regression Using Sufficient Reduction and Its Applications. | Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | 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 |
| 2015 | ICCV | Interpolation on the Manifold of K Component GMMs. | Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh |
| 2014 | CVPR | 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 |
| 2014 | ECCV | 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 |
| 2014 | MICCAI | 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 |
| 2013 | MICCAI | 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 |
| 2013 | MICCAI | 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 |
| 2011 | CVPR | Particle filter with state permutations for solving image jigsaw puzzles. | Xingwei Yang, Nagesh Adluru, Longin Jan Latecki |
| 2011 | MICCAI | Hot Spots Conjecture and Its Application to Modeling Tubular Structures. | Moo K. Chung, Seongho Seo, Nagesh Adluru, Houri K. Vorperian |
| 2011 | PSIVT | Applications of Epsilon Radial Networks in Neuroimage Analyses. | Nagesh Adluru, Moo K. Chung, Nicholas T. Lange, Janet E. Lainhart, Andrew L. Alexander |
| 2009 | ICCV | Shape guided contour grouping with particle filters. | ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Xingwei Yang, Haibin Ling |
| 2008 | ICPR | Merging maps of multiple robots. | Nagesh Adluru, Longin Jan Latecki, Marc Sobel, Rolf Lakmper |
| 2008 | IROS | Improving sparse laser scan alignment with Virtual Scans. | Rolf Lakmper, Nagesh Adluru |
| 2008 | ISVC | Symmetry of Shapes Via Self-similarity. | Xingwei Yang, Nagesh Adluru, Longin Jan Latecki, Xiang Bai, Zygmunt Pizlo |
| 2007 | ICCV | Contour Grouping Based on Local Symmetry. | Nagesh Adluru, Longin Jan Latecki, Rolf Lakmper, Thomas Young, Xiang Bai, Ari D. Gross |