Yuankai Huo

Assistant Professor

Vanderbilt University

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

Dr. Yuankai Huo is an Assistant Professor at Vanderbilt University, United States. His research areas encompass remote sensing, cognitive impairment, machine vision, and imaging techniques, as highlighted in his recent articles. He investigates the intersection of artificial intelligence and healthcare, focusing on applications in body composition assessment and the implications of prenatal factors on childhood brain development.

Articles (16)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (19)

David Zald

Professor

Rutgers University

UNITED STATES

Yuankai Huo

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Vision Foundation Models in Remote Sensing: A survey

Association of Delirium with Increased Risk of Mild Cognitive Impairment and Alzheimer’s Disease and Related Dementias

Multichannel meta-imagers for accelerating machine vision

Cross-scale multi-instance learning for pathological image diagnosis

Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure

Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective

PI3K Inhibition Restores and Amplifies Response to Ruxolitinib in Patients with Myelofibrosis

AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection

Semi-supervised contrastive learning for remote sensing: identifying ancient urbanization in the south-central Andes

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation

Digital Modeling on Large Kernel Metamaterial Neural Network

The association between hepatic steatosis and incident cardiovascular disease, cancer, and all-cause mortality in a US multicohort study

Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis

Guest Editorial Emerging Challenges for Deep Learning

Meta-optic accelerators for object classifiers

Altered gray matter development in pre‐reading children with a family history of reading disorder

Collaborators (19)

David Zald

You Chen

Ruining Deng

Emily F. Mason

Bennett Landman

Michael Smith

You Zhou

Xiaomeng Zhang

Shunxing Bao

Jess Reynolds

Deborah Dewey

Parker VanValkenburgh

John Carr

Catherine Lebel

zhongliang zu

M. Emre Celebi

Francisco Meyer

Jason Valentine

Xin Yu

Make your next move.