Comparing image detection algorithms using resampling. - Frank W. Samuelson; Nicholas Petrick (ISBI, 2006)

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal. - Nicholas Petrick; Kyle J. Myers; Sophie Paquerault; Frank W. Samuelson; Brandon D. Gallas; Robert F. Wagner (Digital Mammography / IWDM, 2006)

Advantages and Examples of Resampling for Cad Evaluation. - Frank W. Samuelson; Nicholas Petrick; Sophie Paquerault (ISBI, 2007)

Application of Cover's theorem to the evaluation of the performance of CI observers. - Frank W. Samuelson; David G. Brown (IJCNN, 2011)

Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. - Xin He; Frank W. Samuelson; Rongping Zeng; Berkman Sahiner (Computer-Aided Diagnosis, 2015)

A utility/cost analysis of breast cancer risk prediction algorithms. - Craig K. Abbey; Yirong Wu; Elizabeth S. Burnside; Adam Wunderlich; Frank W. Samuelson; John M. Boone (Image Perception, Observer Performance, and Technology Assessment, 2016)

Three scenarios of ranking inconsistencies involving search tasks. - Xin He; Frank W. Samuelson; Rongping Zeng; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2016)

Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. - Xin He; Rongping Zeng; Frank W. Samuelson; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2016)

Analyzing ROC curves using the effective set-size model. - Frank W. Samuelson; Craig K. Abbey; Xin He (Image Perception, Observer Performance, and Technology Assessment, 2018)

Template models for forced-localization tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2019)

Adaptive sample size re-estimation in MRMC studies. - Weijie Chen 007; Zhipeng Huang 007; Frank W. Samuelson; Lucas Tcheuko (Image Perception, Observer Performance, and Technology Assessment, 2019)

Human observer templates for lesion discrimination tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2020)

Efficiently calculating ROC curves, AUC, and uncertainty from 2AFC studies with finite samples. - Dylan H. Shekter; Frank W. Samuelson (Image Perception, Observer Performance, and Technology Assessment, 2020)

Welcome and introduction to the SPIE Image Perception, Observer Performance, and Technology Assessment Conference 11599. - Frank W. Samuelson; Sian Taylor-Phillips (Image Perception, Observer Performance, and Technology Assessment, 2021)

Analyzing neural networks applied to an anatomical simulation of the breast. - Craig K. Abbey; Sourya Sengupta; Weimin Zhou; Andreu Badal; Rongping Zeng; Frank W. Samuelson; Miguel P. Eckstein; Kyle J. Myers; Mark A. Anastasio; Jovan G. Brankov (Image Perception, Observer Performance, and Technology Assessment, 2022)

Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Frank W. Samuelson (Image Perception, Observer Performance, and Technology Assessment, 2022)

Predictive accuracy of model observers in lesion discrimination tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2023)

Applying queueing theory to evaluate wait-time-savings of triage algorithms. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Jana G. Delfino; Miguel A. Lago; Qian Cao; Frank W. Samuelson (Queueing Syst. Theory Appl., 2024)