19 citations · 35 across the 5 of their papers we have counts for
5 papers
Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician
Abhinav K. Jha, Kyle J. Myers, Nancy A. Obuchowski +5
Artificial intelligence (AI)-based methods are showing promise in multiple medical-imaging applications. Thus, there is substantial interest in clinical translation of these method…
Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images
Ziping Liu, Richard Laforest, Joyce Mhlanga +5
Objective evaluation of new and improved methods for PET imaging requires access to images with ground truth, as can be obtained through simulation studies. However, for these stud…
A no-gold-standard technique to objectively evaluate quantitative imaging methods using patient data: Theory
Jinxin Liu, Ziping Liu, Joyce Mhlanga +2
Objective evaluation of quantitative imaging (QI) methods using measurements directly obtained from patient images is highly desirable but hindered by the non-availability of gold…
A Bayesian approach to tissue-fraction estimation for oncological PET segmentation
Ziping Liu, Joyce C. Mhlanga, Richard Laforest +3
Tumor segmentation in oncological PET is challenging, a major reason being the partial-volume effects that arise due to low system resolution and finite voxel size. The latter resu…
Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort
Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Weber +4
Purpose: The main purpose of this study was to assess the reliability of shape and heterogeneity features in both Positron Emission Tomography (PET) and low-dose Computed Tomograph…