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Sahba Aghajani Pedram

5 accepted papers

2021

Semi-Automated Extraction of Lens Fragments Via a Surgical Robot Using Semantic Segmentation of OCT Images With Deep Learning - Experimental Results in Ex Vivo Animal Model

RA-L 2021

The overarching goal of this work is to demonstrate the feasibility of using optical coherence tomography (OCT) to guide a robotic system to extract lens fragments from <i>ex vivo</i> pig eyes. A convolutional neural network (CNN) was developed to semantically segment four intraocular structures (le

Cited by 9SourceScholar
2020

Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

ICRA 2020poster

Many tasks in robot-assisted surgeries (RAS) can be represented by finite-state machines (FSMs), where each state represents either an action (such as picking up a needle) or an observation (such as bleeding). A crucial step towards the automation of such surgical tasks is the temporal perception of…

Cited by 53SourceScholar
2019

Autonomous Tissue Manipulation via Surgical Robot Using Learning Based Model Predictive Control

ICRA 2019poster

Tissue manipulation is a frequently used fundamental subtask of any surgical procedures, and in some cases it may require the involvement of a surgeon's assistant. The complex dynamics of soft tissue as an unstructured environment is one of the main challenges in any attempt to automate the manipula…

Cited by 143SourceScholar
2017

Autonomous suturing via surgical robot: An algorithm for optimal selection of needle diameter, shape, and path

ICRA 2017poster

In autonomous suturing with a surgical robot, needle shape, diameter, and path are critical parameters that directly affect suture depth and tissue trauma. This paper presents an optimization-based approach to specify these parameters. Given clinical suturing guidelines, a kinematic model of needle-…

Cited by 85SourceScholar
2015

Large deflection shape sensing of a continuum manipulator for minimally-invasive surgery

ICRA 2015poster

Shape sensing techniques utilizing Fiber Bragg grating (FBG) arrays can enable real-time tracking and control of dexterous continuum manipulators (DCM) used in minimally invasive surgeries. For many surgical applications, the DCM may need to operate with much larger curvatures than what current shap…

Cited by 64SourceScholar