activity
20182021
most citedAccurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images

2 citations · 4 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO2021

Toward Robotically Automated Femoral Vascular Access

Nico Zevallos, Evan Harber, Abhimanyu +9

Advanced resuscitative technologies, such as Extra Corporeal Membrane Oxygenation (ECMO) cannulation or Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA), are techn…

cs.CV2021

Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions

Gautam Rajendrakumar Gare, John Michael Galeotti

Class labels used for machine learning are relatable to each other, with certain class labels being more similar to each other than others (e.g. images of cats and dogs are more si…

cs.CV20201 cited

A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning

Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode +2

Identifying landmarks in the femoral area is crucial for ultrasound (US) -based robot-guided catheter insertion, and their presentation varies when imaged with different scanners.…

eess.IV2020

Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts

Alex Ling Yu Hung, John Galeotti

Ultrasound 3D compounding is important for volumetric reconstruction, but as of yet there is no consensus on best practices for compounding. Ultrasound images depend on probe direc…

eess.IV20201 cited

W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data

Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi +5

We present W-Net, a novel Convolution Neural Network (CNN) framework that employs raw ultrasound waveforms from each A-scan, typically referred to as ultrasound Radio Frequency (RF…

eess.IV20192 cited

Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images

Jiahong Ouyang, Tejas Sudharshan Mathai, Kira Lathrop +1

Optical Coherence Tomography (OCT) is an imaging modality that has been widely adopted for visualizing corneal, retinal and limbal tissue structure with micron resolution. It can b…