activity
20202026
most citedA Bayesian approach to tissue-fraction estimation for oncological PET segmentation

19 citations · 48 across the 9 of their papers we have counts for

collaborators

9 papers

physics.med-ph2026

NGSE-Corr: A technique for objective clinical evaluation of quantitative-imaging methods without a gold standard

Yan Liu, Ziping Liu, Zekun Li +4

Objective evaluation of quantitative-imaging (QI) methods based on how reliably they measure true values is important for clinical translation. Performing such evaluation with pati…

physics.med-ph2023★ 1 cited

Observer study-based evaluation of TGAN architecture used to generate oncological PET images

Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu +9

The application of computer-vision algorithms in medical imaging has increased rapidly in recent years. However, algorithm training is challenging due to limited sample sizes, lack…

physics.med-ph2023★ 7 cited

Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET

Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel +1

Artificial intelligence (AI)-based methods are showing substantial promise in segmenting oncologic positron emission tomography (PET) images. For clinical translation of these meth…

physics.med-ph2022

No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise

Ziping Liu, Zekun Li, Joyce C. Mhlanga +2

Objective evaluation of quantitative imaging (QI) methods with patient data is highly desirable, but is hindered by the lack or unreliability of an available gold standard. To addr…

physics.med-ph2021★ 7 cited

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…

physics.med-ph2021★ 2 cited

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…