15 citations · 49 across the 6 of their papers we have counts for
6 papers
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2
Ultrasound is a commonly used medical imaging modality that requires expert sonographers to manually maneuver the ultrasound probe based on the acquired image. Autonomous Robotic U…
RUSOpt: Robotic UltraSound Probe Normalization with Bayesian Optimization for In-plane and Out-plane Scanning
Deepak Raina, Abhishek Mathur, Richard M. Voyles +3
The one of the significant challenges faced by autonomous robotic ultrasound systems is acquiring high-quality images across different patients. The proper orientation of the robot…
Expert-Agnostic Ultrasound Image Quality Assessment using Deep Variational Clustering
Deepak Raina, Dimitrios Ntentia, SH Chandrashekhara +2
Ultrasound imaging is a commonly used modality for several diagnostic and therapeutic procedures. However, the diagnosis by ultrasound relies heavily on the quality of images asses…
Robotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2
Ultrasound is a vital imaging modality utilized for a variety of diagnostic and interventional procedures. However, an expert sonographer is required to make accurate maneuvers of…
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation
Deepak Raina, Kashish Verma, SH Chandrashekhara +1
We investigate the applicability of U-Net based models for segmenting Urinary Bladder (UB) in male pelvic view UltraSound (US) images. The segmentation of UB in the US image aids r…
Chitrakar: Robotic System for Drawing Jordan Curve of Facial Portrait
Aniruddha Singhal, Ayush Kumar, Shivam Thukral +2
This paper presents a robotic system (\textit{Chitrakar}) which autonomously converts any image of a human face to a recognizable non-self-intersecting loop (Jordan Curve) and draw…