Shunxing Bao

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.

Articles (13)

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (5)

David Zald

Professor

Rutgers University

UNITED STATES

View details

Yuankai Huo

Assistant Professor

Vanderbilt University

UNITED STATES

View details

Francisco Meyer

Assistant Professor

Yale University

UNITED STATES

View details

Bradley Malin

Vanderbilt University Medical Center

UNITED STATES

View details

Xin Yu

Senior Lecturer

University of Queensland

AUSTRALIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Shunxing Bao

Research Interests

Explore related searches

Contact this professor

Articles (13)

Secondary use of radiological imaging data: Vanderbilt’s ImageVU approach

Evaluating Sex and Age Biases in Multimodal Large Language Models for Skin Disease Identification from Dermatoscopic Images

A 3D and Explainable Artificial Intelligence Model for Evaluation of Chronic Otitis Media Based on Temporal Bone Computed Tomography: Model Development, Validation, and Clinical Application

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation

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

Body Part Regression with Self-supervision.

Body Part Regression With Self-Supervision

Phase identification for dynamic CT enhancements with generative adversarial network.

Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans.

High-resolution 3D abdominal segmentation with random patch network fusion.

Learning from dispersed manual annotations with an optimized data weighting policy.

Learning from dispersed manual annotations with an optimized data weighting policy

Time-distanced gates in long short-term memory networks.

Collaborators (5)

David Zald

Yuankai Huo

Francisco Meyer

Bradley Malin

Xin Yu

Make your next move.