Area of research
Computer Vision and Pattern Recognition · Computational Mechanics
Research interest
Research interests include Medical Image Segmentation Techniques, Sparse and Compressive Sensing Techniques, Image and Signal Denoising Methods, and Advanced Neuroimaging Techniques and Applications.
To do no harm — and the most good — with AI in health care
To Do No Harm — and the Most Good — with AI in Health Care
Parent strategies for expanding food variety: Reflections of 19,239 adults with symptoms of Avoidant/Restrictive Food Intake Disorder
Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism
Impact of a digital Modified Checklist for Autism in Toddlers–Revised on likelihood and age of autism diagnosis and referral for developmental evaluation
Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
A Shared Vision for Machine Learning in Neuroscience
Atomic Resolution Cryo-EM Structure of β-Galactosidase
Computer vision analysis captures atypical attention in toddlers with autism
Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder
Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery
A Computational Synaptic Antibody Characterization Tool for Array Tomography
A Computational Synaptic Antibody Characterization and Screening Framework for Array Tomography
Deep Video Deblurring for Hand-Held Cameras
Probabilistic fluorescence-based synapse detection
Graph Matching: Relax at Your Own Risk
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
See all by looking at a few: Sparse modeling for finding representative objects
CIF: Small: Foundations and Applications of Blind Subgroup Robustness
CIF: Small: Foundations and Applications of Blind Subgroup Robustness
CIF: AF: Small: Foundations of Multimodal Information Integration
ATD: The Foundations of Dynamic Drone-Based Threat Detection
AF: SMALL: Learning to Parsimoniously Model and Compute with Big Data
Learning sparse representations for restoration and classification: Theory, Computations, and Applications in Image, Video, and Multimodal Analysis
Learning sparse representations for restoration and classification: Theory, Computations, and Applications in Image, Video, and Multimodal Analysis
Image and Video Inpainting
US-France Cooperative Research: Computational Tools for Brain Research
Collaborative Research-ITR-High Order Partial Differential Equations: Theory, Computational Tools, and Applications in Image Processing, Computer Graphics, Biology, and Fluids
ITR: Distances and Generalized Geodesics for High-Dimensional Implicit and Point Cloud Surfaces:Theory, Computational Framework, and Applications in Information Sciences and Eng.
CAREER - Intelligent PDE's: Introducing Knowledge into Geometry Driven Image Deformations