Explanipedia

A shape-based functional index for objective assessment of pediatric motor function Open

Shashwat Kumar, Arafat Rahman, Robert Gutiérrez, Sarah Livermon, Allison McCrady , et al. · 2025

Clinical assessments for neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), continue to rely on subjective measures to monitor treatment response and disease progression. We introduce a no…

S‐<span>GMAS</span>: Genome‐Wide Mediation Analysis With Brain Subcortical Shape Mediators Open

Shengxian Ding, Rongjie Liu, Anuj Srivastava, Richard S. Nowakowski, Li Shen , et al. · 2025

Mediation analysis is widely utilized in neuroscience to investigate the role of brain image phenotypes in the neurological pathways from genetic exposures to clinical outcomes. However, it is still difficult to conduct mediation analyses …

Graph Network Modeling Techniques for Visualizing Human Mobility Patterns Open

Sinjini Mitra, Anuj Srivastava, Avipsa Roy, Pavan Turaga · 2025

Human mobility analysis at urban-scale requires models to represent the complex nature of human movements, which in turn are affected by accessibility to nearby points of interest, underlying socioeconomic factors of a place, and local tra…

Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects Open

Imon Mia, Armi Tiihonen, Alexander U. Ernst, Anuj Srivastava, Tonio Buonassisi , et al. · 2025

Bayesian Optimization (BO) machine learning method is increasingly used to guide experimental optimization tasks in materials science. To emulate the large number of input variables and noise-containing results in experimental materials re…

Alignment of Continuous Brain Connectivity Open

Martín G. Cole, Yang Xiang, Will Consagra, Anuj Srivastava, Xing Qiu , et al. · 2025

Brain networks are typically represented by adjacency matrices, where each node corresponds to a brain region. In traditional brain network analysis, nodes are assumed to be matched across individuals, but the methods used for node matchin…

Dynamic Neural Surfaces for Elastic 4D Shape Representation and Analysis Open

Awais Nizamani, Hamid Laga, Guanjin Wang, Farid Boussaïd, Mohammed Bennamoun , et al. · 2025

We propose a novel framework for the statistical analysis of genus-zero 4D surfaces, i.e., 3D surfaces that deform and evolve over time. This problem is particularly challenging due to the arbitrary parameterizations of these surfaces and …

QWhale and SARSAWhale: Energy-Efficient and Energy-Aware Algorithms for High-Load Cloud Environments Open

Anuj Srivastava, B. Banerjee, Akshay Verma · 2025

Cloud computing has transformed resource management by providing on-demand access to shared computational resources, yet task scheduling in dynamic environments remains a critical challenge due to fluctuating workloads, varying resource av…

QWhale and SARSAWhale: Energy-Efficient and Energy-Aware Algorithms for High-Load Cloud Environments Open

Anuj Srivastava, B. Banerjee, Akshay Verma · 2025

Cloud computing has transformed resource management by providing on-demand access to shared computational resources, yet task scheduling in dynamic environments remains a critical challenge due to fluctuating workloads, varying resource av…

A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function Open

Shashwat Kumar, Arafat Rahman, Robert Gutiérrez, Sarah Livermon, Allison McCrady , et al. · 2025

Clinical assessments for neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), continue to rely on subjective measures to monitor treatment response and disease progression. We introduce a no…

Statistical Emulations of Human Operational Motions in Industrial Environments Open

Yanliang Chen, Chiwoo Park, Anuj Srivastava · 2024

This paper addresses the critical and challenging task of developing emulators for simulating human operational motions in industrial workplaces. We conceptualize human motion as a sequence of human body shapes and develop statistical gene…

Scalar-on-Shape Regression Models for Functional Data Analysis Open

Sayan Bhadra, Anuj Srivastava · 2024

Functional data contains two components: shape (or amplitude) and phase. This paper focuses on a branch of functional data analysis (FDA), namely Shape-Based FDA, that isolates and focuses on shapes of functions. Specifically, this paper f…

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Open

Michael Wilson, Tom Needham, Anuj Srivastava · 2024

Wasserstein distances form a family of metrics on spaces of probability measures that have recently seen many applications. However, statistical analysis in these spaces is complex due to the nonlinearity of Wasserstein spaces. One potenti…

Reducing Shape-Graph Complexity with Application to Classification of Retinal Blood Vessels and Neurons Open

Benjamin Beaudett, Anuj Srivastava · 2024

Shape graphs are complex geometrical structures commonly found in biological and anatomical systems. A shape graph is a collection of nodes, some connected by curvilinear edges with arbitrary shapes. Their high complexity stems from the la…

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures Open

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel , et al. · 2024

We propose the first comprehensive approach for modeling and analyzing the spatiotemporal shape variability in tree-like 4D objects, i.e., 3D objects whose shapes bend, stretch, and change in their branching structure over time as they def…

PERFORMANCE EVALUATION OF ELECTRIC BUSES & ADAPTATION IN INDIAN MARKET Open

Anuj Srivastava, Ashwani Kumar Sharma, Kheelraj Pandey · 2024

This research paper evaluates the performance and adaptation of electric buses in India, highlighting their potential as sustainable alternatives to diesel vehicles.It analyzes metrics such as HVAC efficiency, steering and wheel alignment,…

Time-Series Analysis of Cellular Shapes Using Transported Velocity Fields Open

Rituparna Sarkar, Ximu Deng, Elisabeth Labruyère, Jean‐Christophe Olivo‐Marín, Anuj Srivastava · 2024

Longitudinal Elastic Shape Analysis of Brain Subcortical Structures Open

Yuexuan Wu, Zhengwu Zhang, Kwun Chuen Gary Chan, Dean Shibata, Walter A. Kukull , et al. · 2023

Background Over the past 30 years, MRI has become a ubiquitous tool for accurately visualizing the development of the brain’s subcortical structures. However, the quantification of subcortical structures is still in its infancy due to chal…

Rescuing referral failures during automated diagnosis of domain-shifted medical images Open

Anuj Srivastava, Karm Patel, Pradeep Shenoy, Devarajan Sridharan · 2023

The success of deep learning models deployed in the real world depends critically on their ability to generalize well across diverse data domains. Here, we address a fundamental challenge with selective classification during automated diag…

A Wasserstein-type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis Open

Michael Wilson, Tom Needham, Chiwoo Park, Suprateek Kundu, Anuj Srivastava · 2023

This paper uses sample data to study the problem of comparing populations on finite-dimensional parallelizable Riemannian manifolds and more general trivial vector bundles. Utilizing triviality, our framework represents populations as mixt…

Shape-based functional data analysis Open

Yuexuan Wu, Chao Huang, Anuj Srivastava · 2023

Functional data analysis (FDA) is a fast-growing area of research and development in statistics. While most FDA literature imposes the classical $$\mathbb {L}^2$$ Hilbert structure on function spaces, there is an emergent need for a diffe…

Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis Open

Shenyuan Liang, Maurício Pamplona Segundo, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava · 2023

This paper focuses on the statistical analysis of shapes of data objects called shape graphs, a set of nodes connected by articulated curves with arbitrary shapes. A critical need here is a constrained registration of points (nodes to node…

Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae Open

Shenyuan Liang, Pavan Turaga, Anuj Srivastava · 2023

This paper investigates the challenge of learning image manifolds, specifically pose manifolds, of 3D objects using limited training data. It proposes a DNN approach to manifold learning and for predicting images of objects for novel, cont…

Peak-Persistence Diagrams for Estimating Shapes and Functions from Noisy Data Open

W. Kim, Sutanoy Dasgupta, Anuj Srivastava · 2023

Estimating signals underlying noisy data is a significant problem in statistics and engineering. Numerous estimators are available in the literature, depending on the observation model and estimation criterion. This paper introduces a fram…

Data from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors Open