DEMETRIO LABATE

PROFESSOR

University of Houston

United States

Research Interests

Explore related searches

Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Demetrio Labate is a Professor at the University of Houston, USA. His research focuses on advanced topics in machine learning, image processing, and data analysis, as evidenced by his recent articles on areas such as spatio-temporal data representation, crowd dynamics modeling, and structural plasticity impairments related to substance use. He is particularly interested in the application of deep learning techniques to solve complex problems in various domains, including medical imaging and environmental data.

Articles (13)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (3)

Yabo Niu

Assistant Professor

University of Houston

UNITED STATES

View details

Tatiana Alessandra BUBBA

University of Bath

UNITED KINGDOM

View details

Mariantonia Cotronei

Associate Professor

University of Calabria

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

DEMETRIO LABATE

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

Regularization with Optimal Space-Time Priors

Data-driven learning to enhance a kinetic model of distressed crowd dynamics

Supervised and Unsupervised Learning Reveals Heroin-Induced Impairments in Astrocyte Structural Plasticity

Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks

Efficient representation of spatio-temporal data using cylindrical shearlets

Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs

A Learning Based Framework for Disease Prediction from Images of Human-Derived Pluripotent Stem Cells of Schizophrenia Patients

Optimally Sparse Representations of Cartoon-Like Cylindrical Data

A Multiscale Deep Learning Approach for High-Resolution Hyperspectral Image Classification

Stable recovery of planar regions with algebraic boundaries in Bernstein form

A multistep deep learning framework for the automated detection and segmentation of astrocytes in fluorescent images of brain tissue

Image inpainting using sparse multiscale representations: Image recovery performance guarantees

Robust and stable region-of-interest tomographic reconstruction using a robust width prior

Collaborators (3)

Yabo Niu

Tatiana Alessandra BUBBA

Mariantonia Cotronei

Make your next move.