194 citations · 1k across the 61 of their papers we have counts for
5 papers · 1 filter
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
Weimin Zhou, Hua Li, Mark A. Anastasio
It is widely accepted that optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the…
Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference
Yujia Chen, Yang Lou, Kun Wang +2
It is widely accepted that optimization of imaging system performance should be guided by task-based measures of image quality (IQ). It has been advocated that imaging hardware or…
A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography
Joemini Poudel, Yang Lou, Mark A. Anastasio
Photoacoustic computed tomography (PACT), also known as optoacoustic tomography, is an emerging imaging technique that holds great promise for biomedical imaging. PACT is a hybrid…
Automatic microscopic cell counting by use of deeply-supervised density regression model
Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel +2
Accurately counting cells in microscopic images is important for medical diagnoses and biological studies, but manual cell counting is very tedious, time-consuming, and prone to su…
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression
Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel +2
Accurate cell counting in microscopic images is important for medical diagnoses and biological studies. However, manual cell counting is very time-consuming, tedious, and prone to…