Samuel L. Charreyron — accepted AI-conference papers

2020

Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks

Ruoxi Yu, Samuel L. Charreyron, Quentin Boehler, Cameron Weibel, Christophe Chautems, Carmen C. Y. Poon +1

ICRA 2020poster

Electromagnetic Navigation Systems (eMNS) can be used to control a variety of multiscale devices within the human body for remote surgery. Accurate modeling of the magnetic fields generated by the electromagnets of an eMNS is crucial for the precise control of these devices. Existing methods assume…

Cited by 16 Source ↗Scholar ↗

2019

A Magnetically Steered Endolaser Probe for Automated Panretinal Photocoagulation

Samuel L. Charreyron, Edoardo Gabbi, Quentin Boehler, Matthias Becker, Bradley J. Nelson

RA-L 2019

The advanced state of diabetic retinopathy, a leading cause of blindness, is treated by panretinal photocoagulation (PRP), a repetitive procedure performed by a surgeon using a handheld laser probe. In its place we propose a soft-robotic flexible probe precisely steered using magnetic fields generat

Cited by 20 Source ↗Scholar ↗

2017

Shared control of a magnetic microcatheter for vitreoretinal targeted drug delivery

Samuel L. Charreyron, Burak Zeydan, Bradley J. Nelson

ICRA 2017poster

Retinal diseases including age-related macular degeneration and diabetic retinopathy are leading causes of visual impairment and a growing medical crisis worldwide. As a result, new therapies and methods of safely delivering these new therapies can be of significant benefit to society. In this paper…

Cited by 26 Source ↗Scholar ↗