Pedro Huebner

Lecturing Assistant Professor

University of Utah

United States

Research Interests

Explore related searches

Professors in United States Professors in Dentistry Dentistry 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

Pedro Huebner is a Lecturing Assistant Professor at the University of Utah, United States. His research primarily focuses on regenerative engineering, artificial intelligence applications in medical imaging, and the mechanical properties of bioplotted scaffolds in tissue engineering. Recent articles include studies on patient-fitted temporomandibular joint prostheses, antibacterial dental adhesive resins, and advanced methods for detecting COVID-19 through imaging data.

Articles (8)

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (3)

Munshi Md Shafwat Yazdan

Graduate Teaching Assistant

University of Idaho

UNITED STATES

View details

Zahed Siddique

University of Oklahoma

UNITED STATES

View details

Fernando Luis Esteban Florez

Tenured Associate Professor

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Pedro Huebner

Research Interests

Explore related searches

Contact this professor

About

Articles (8)

Regenerative Engineering of a Biphasic Patient-Fitted Temporomandibular Joint Condylar Prosthesis

Characterization of Experimental Nanoparticulated Dental Adhesive Resins with Long-Term Antibacterial Properties

Detection of COVID-19 Patients from CT Scan and Chest X-ray Data Using Modified MobileNetV2 and LIME

Behavioral Pattern Analysis between Bilingual and Monolingual Listeners’ Natural Speech Perception on Foreign-Accented English Language Using Different Machine Learning Approaches

The evaluation of a multiphasic 3D-bioplotted scaffold seeded with adipose derived stem cells to repair osteochondral defects in a porcine model

Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence

Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients

Mechanical properties of tissue formed in vivo are affected by 3D-bioplotted scaffold microarchitecture and correlate with ECM collagen fiber alignment

Collaborators (3)

Munshi Md Shafwat Yazdan

Zahed Siddique

Fernando Luis Esteban Florez

Make your next move.