most citedRobotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization

15 citations · 59 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 12 cited

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…

cs.RO2023★ 9 cited

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…

eess.IV2023★ 10 cited

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…

cs.RO2023★ 15 cited

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…

eess.IV2023★ 2 cited

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…

cs.RO2022

Robust Artificial Delay based Impedance Control of Robotic Manipulators with Uncertain Dynamics

Udayan Banerjee, Bhabani Shankar Dey, Indra Narayan Kar +1

In this paper an artificial delay based impedance controller is proposed for robotic manipulators with uncertainty in dynamics. The control law unites the time delayed estimation (…

cs.LG2022★ 11 cited

Interpretation of Black Box NLP Models: A Survey

Shivani Choudhary, Niladri Chatterjee, Subir Kumar Saha

An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are…