Nagesh Adluru
10 papers · 2010–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Trend Setter
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Healthcare & Medicine
(5)
Clinical
(5)
Core Methods
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Domain-Specific
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Application Areas
(1)
Applications
(1)
Keywords
brain imaging
(3)
riemannian manifold
(2)
manifold-valued data
(2)
brain connectivity
(2)
diffusion tensor imaging
(2)
longitudinal analysis
(2)
generalized eigenvalue problem
(2)
white matter segmentation
(1)
statistical analysis
(1)
probabilistic modeling
(1)
manifold regression
(1)
precision matrix estimation
(1)
multivariate regression
(1)
graph signal processing
(1)
domain adaptation
(1)
image co-segmentation
(1)
medical image segmentation
(1)
disease progression
(1)
brain image segmentation
(1)
medical imaging
(1)
Papers
Stage-Aware Event-Based Modeling (SA-EBM) for Disease Progression
MLHC 2025
Efficient Relative Attribute Learning using Graph Neural Networks
ECCV 2018
A Geometric Framework for Statistical Analysis of Trajectories With Distinct Temporal Spans
ICCV 2017
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
CVPR 2017
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
CVPR 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
CVPR 2016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
Interpolation on the Manifold of K Component GMMs
ICCV 2015
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
CVPR 2014
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
NeurIPS 2010