output
20162023
most citedApproximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods

15 citations

7 papers

physics.med-ph202310 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.IV20213 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.IV20211 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.SP202015 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…

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.CY20178 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…