Johnson v. John — accepted AI-conference papers

2025

A New Concept for Reconstruction of Volumetric Muscle Loss Injuries Using Spatial Robotic Embedded Bioprinting: A Feasibility Study

Omid Rezayof, Mohammad Rafiee Javazm, Yash Kulkarni, Meenakshi Kamaraj, Maryam Tilton, Johnson v. John +1

IROS 2025

In this study, we introduce a new concept for reconstruction of Volumetric Muscle Loss (VML) injuries and propose the spatial robotic embedded bioprinting technique. As opposed to the traditional layer-by-layer printing, we leverage the support-free nature of embedded bioprinting to print spatial an

Cited by 0 Source ↗Scholar ↗

2024

Quantitative Evaluation of Curved BioPrinted Constructs of an in Situ Robotic System Towards Treatment of Volumetric Muscle Loss

Omid Rezayof, Xinyuan Huang, Meenakshi Kamaraj, Johnson v. John, Farshid Alambeigi

RA-L 2024

Tissue engineering techniques and particularly <i>in situ</i> bioprinting using handheld devices and robotic systems have recently demonstrated promising outcomes to address volumetric muscle loss injuries. Nevertheless, these approaches suffer from insufficient printing precision and/or lack of qua

Cited by 2 Source ↗Scholar ↗