Frank W. Samuelson - researchr alias

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Viewing Publication 1 - 14 from 14

2023

Predictive accuracy of model observers in lesion discrimination tasksCraig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers. miipop 2023: [doi]

2022

2021

Welcome and introduction to the SPIE Image Perception, Observer Performance, and Technology Assessment Conference 11599Frank W. Samuelson, Sian Taylor-Phillips. miipop 2021: [doi]

2020

Human observer templates for lesion discrimination tasksCraig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers. miipop 2020: [doi]

Efficiently calculating ROC curves, AUC, and uncertainty from 2AFC studies with finite samplesDylan H. Shekter, Frank W. Samuelson. miipop 2020: [doi]

2019

Template models for forced-localization tasksCraig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers. miipop 2019: 1095206 [doi]

2018

Analyzing ROC curves using the effective set-size modelFrank W. Samuelson, Craig K. Abbey, Xin He. miipop 2018: [doi]

2016

2007

Advantages and Examples of Resampling for Cad EvaluationFrank W. Samuelson, Nicholas Petrick, Sophie Paquerault. isbi 2007: 492-495 [doi]

2006

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A ProposalNicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner. mammo 2006: 565-568 [doi]

Comparing image detection algorithms using resamplingFrank W. Samuelson, Nicholas Petrick. isbi 2006: 1312-1315 [doi]

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