58 citations
- Washington University in St. LouisUS11 papers
- Alvin J. Siteman Cancer CenterUS2 papers
- University of British ColumbiaCA2 papers
- BC Cancer AgencyCA1 paper
- Center for Devices and Radiological HealthUS1 paper
- Cleveland ClinicUS1 paper
- Cornell UniversityUS1 paper
- Dana-Farber Cancer InstituteUS1 paper
- Duke UniversityUS1 paper
- Eli Lilly (United States)US1 paper
- Google (United States)US1 paper
- Harvard UniversityUS1 paper
7 papers · 1 filter
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…
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…
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…
Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging
Fereshteh Yousefirizi, Abhinav K. Jha, Julia Brosch-Lenz +2
Artificial intelligence (AI) techniques for image-based segmentation have garnered much attention in recent years. Convolutional neural networks (CNNs) have shown impressive result…
A physics and learning-based transmission-less attenuation compensation method for SPECT
Zitong Yu, Md Ashequr Rahman, Thomas Schindler +2
Attenuation compensation (AC) is a pre-requisite for reliable quantification and beneficial for visual interpretation tasks in single-photon emission computed tomography (SPECT). T…
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…