Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Joseph Skufca

2PUBLICATIONS

10CO-AUTHORS

Knowledge representation and reasoningRehabilitation

Featured researcher

Get your video featured.

Publish with JoVE

Featured researcher

Get your video featured.

Publish with JoVE

Publications (2)

Sort by Publication Date:

|May 11, 2024

Uniqueness of Iris Pattern Based on the Auto-Regressive Model.

Natalia A Schmid, Matthew C Valenti, Katelyn M Hampel

|Aug 10, 2022

Study Protocol: Sleep Effects on Poststroke Rehabilitation Study.

Karen J Klingman, Joseph D Skufca, Pamela W Duncan

Pageof 1

Frequent Collaborators

1 joint publications

Karen J Klingman

1 joint publications

Pamela W Duncan

1 joint publications

Dongliang Wang

1 joint publications

George D Fulk

1 joint publications

Natalia A Schmid

1 joint publications

Matthew C Valenti

1 joint publications

Katelyn M Hampel

1 joint publications

Jinyu Zuo

1 joint publications

Priyanka Das

1 joint publications

Stephanie Schuckers

Frequent Collaborators

1 joint publications

Karen J Klingman

1 joint publications

Pamela W Duncan

1 joint publications

Dongliang Wang

1 joint publications

George D Fulk

Top Related Videos

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

Published on : Jul 28, 2023

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Published on : Mar 15, 2024

See more related videos

Top Related Videos

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

Published on : Jul 28, 2023

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Published on : Mar 15, 2024

See more related videos