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Muyinatu A. Lediju Bell

4 accepted papers

2021

Deep Learning-Based Photoacoustic Visual Servoing: Using Outputs from Raw Sensor Data as Inputs to a Robot Controller

ICRA 2021poster

Tool tip visualization is an essential component of multiple robotic surgical and interventional procedures. In this paper, we introduce a real-time photoacoustic visual servoing system that processes information directly from raw acoustic sensor data, without requiring image formation or segmentati…

Cited by 15SourceScholar
2018

A Deep Learning Based Alternative to Beamforming Ultrasound Images

ICASSP 2018accepted

Deep learning methods are capable of performing sophisticated tasks when applied to a myriad of artificial intelligent (AI) research fields. In this paper, we introduce a novel approach to replace the inherently flawed beamforming step during ultrasound image formation by applying deep learning dire…

Cited by 0SourceScholar
2017

Improving the safety of telerobotic drilling of the skull base via photoacoustic sensing of the carotid arteries

ICRA 2017poster

One of the risks of the endonasal approach to skull base surgery is inadvertent damage to one of the two carotid arteries that are located behind the bone being drilled. Photoacoustic imaging, which combines a pulsed laser with an ultrasound receiver probe, has been shown to be able to image blood v…

Cited by 12SourceScholar
2015

Photoacoustic image guidance for robot-assisted skull base surgery

ICRA 2015poster

We are investigating the use of photoacoustic (PA) imaging to detect critical structures, such as the carotid artery, that may be located behind the bone being drilled during robot-assisted endonasal transsphenoidal surgery. In this system, the laser is mounted on the drill (via an optical fiber) an…

Cited by 19SourceScholar