output
20152023
most citedLow-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm

18 citations

10 papers

eess.SP2023

A Radiological Clip Design Using Ultrasound Identification to Improve Localization

Jenna Cario, Zhengchang Kou, Rita J. Miller +3

Objective: We demonstrate the use of ultrasound to receive an acoustic signal transmitted from a radiological clip designed from a custom circuit. This signal encodes an identifica…

physics.med-ph2023★ 10 cited

Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography

Hamza El-Kebir, Junren Ran, Yongseok Lee +7

We present a novel thermodynamic parameter estimation framework for energy-based surgery on live tissue, with direct applications to tissue characterization during electrosurgery.…

eess.IV2021★ 3 cited

Impact of deep learning-based image super-resolution on binary signal detection

Xiaohui Zhang, Varun A. Kelkar, Jason Granstedt +2

Deep learning-based image super-resolution (DL-SR) has shown great promise in medical imaging applications. To date, most of the proposed methods for DL-SR have only been assessed…

eess.IV2021★ 1 cited

Advancing the AmbientGAN for learning stochastic object models

Weimin Zhou, Sayantan Bhadra, Frank J. Brooks +3

Medical imaging systems are commonly assessed and optimized by use of objective-measures of image quality (IQ) that quantify the performance of an observer at specific tasks. Varia…

eess.SP2020★ 15 cited

Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods

Weimin Zhou, Hua Li, Mark A. Anastasio

Medical imaging systems are commonly assessed and optimized by use of objective measures of image quality (IQ). The Ideal Observer (IO) performance has been advocated to provide a…

eess.SP2020★ 18 cited

Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm

Ryan M. Corey, Evan M. Widloski, David Null +11

In response to the shortage of ventilators caused by the COVID-19 pandemic, many organizations have designed low-cost emergency ventilators. Many of these devices are pressure-cycl…

cs.CV2020

Learning Numerical Observers using Unsupervised Domain Adaptation

Shenghua He, Weimin Zhou, Hua Li +1

Medical imaging systems are commonly assessed by use of objective image quality measures. Supervised deep learning methods have been investigated to implement numerical observers f…

cs.CY2017★ 8 cited

A Mobile Geo-Communication Dataset for Physiology-Aware DASH in Rural Ambulance Transport

Mohammad Hosseini, Yu Jiang, Ali Yekkehkhany +2

Use of telecommunication technologies for remote, continuous monitoring of patients can enhance effectiveness of emergency ambulance care during transport from rural areas to a reg…

cs.CY2016

A Pathophysiological Model-Driven Communication for Dynamic Distributed Medical Best Practice Guidance Systems

Mohammad Hosseini, Yu Jiang, Poliang Wu +3

There is a great divide between rural and urban areas, particularly in medical emergency care. Although medical best practice guidelines exist in hospital handbooks, they are often…

cs.SE2015★ 7 cited

SINk: A Middleware for Synchronization of Heterogeneous Software Interfaces

Mohammad Hosseini, Yu Jiang, Poliang Wu +2

Software is everywhere. The increasing requirement of supporting a wide variety of domains has rapidly increased the complexity of software systems, making them hard to maintain an…