Frank W. Samuelson

25 papers B 1Journal 4Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Image Quality in the Era of Artificial Intelligence.
CoRR
Jana G. Delfino, Jason L. Granstedt, Frank W. Samuelson, Robert Ochs, Krishna Juluru
2025 J jnl
A Quantitative Framework to Predict Wait-Time Impacts Due to AI-Triage Devices in a Multi-AI, Multi-Disease Workflow.
CoRR
Michelle Mastrianni, Rucha Deshpande, Frank W. Samuelson, Yee Lam Elim Thompson
2025 J jnl
Impact of AI-Triage on Radiologist Report Turnaround Time: Real-World Time-Savings and Insights from Model Predictions.
CoRR
Yee Lam Elim Thompson, Jonathan Fergus, Jonathan H. Chung, Jana G. Delfino, Weijie Chen, Gary M. Levine, Frank W. Samuelson
2024 J jnl
Applying queueing theory to evaluate wait-time-savings of triage algorithms.
Queueing Syst. Theory Appl.
Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Jana G. Delfino, Miguel A. Lago, Qian Cao, Frank W. Samuelson
2023 — conf
Predictive accuracy of model observers in lesion discrimination tasks.
Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2022 — conf
Analyzing neural networks applied to an anatomical simulation of the breast.
Image Perception, Observer Performance, and Technology Assessment
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
2022 — conf
Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory.
Image Perception, Observer Performance, and Technology Assessment
Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank W. Samuelson
2021 — ed.
Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, Online, February 15-19, 2021
Image Perception, Observer Performance, and Technology Assessment
Frank W. Samuelson, Sian Taylor-Phillips
2021 — conf
Welcome and introduction to the SPIE Image Perception, Observer Performance, and Technology Assessment Conference 11599.
Image Perception, Observer Performance, and Technology Assessment
Frank W. Samuelson, Sian Taylor-Phillips
2020 — conf
Efficiently calculating ROC curves, AUC, and uncertainty from 2AFC studies with finite samples.
Image Perception, Observer Performance, and Technology Assessment
Dylan H. Shekter, Frank W. Samuelson
2020 — conf
Human observer templates for lesion discrimination tasks.
Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2020 — ed.
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020
Image Perception, Observer Performance, and Technology Assessment
Frank W. Samuelson, Sian Taylor-Phillips
2019 — conf
Adaptive sample size re-estimation in MRMC studies.
Image Perception, Observer Performance, and Technology Assessment
Weijie Chen, Zhipeng Huang, Frank W. Samuelson, Lucas Tcheuko
2019 — ed.
Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 16-21 February 2019
Image Perception, Observer Performance, and Technology Assessment
Robert M. Nishikawa, Frank W. Samuelson
2019 — conf
Template models for forced-localization tasks.
Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2018 — conf
Analyzing ROC curves using the effective set-size model.
Image Perception, Observer Performance, and Technology Assessment
Frank W. Samuelson, Craig K. Abbey, Xin He
2018 — ed.
Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018
Image Perception, Observer Performance, and Technology Assessment
Robert M. Nishikawa, Frank W. Samuelson
2016 — conf
A utility/cost analysis of breast cancer risk prediction algorithms.
Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey, Yirong Wu, Elizabeth S. Burnside, Adam Wunderlich, Frank W. Samuelson, John M. Boone
2016 — conf
Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task.
Image Perception, Observer Performance, and Technology Assessment
Xin He, Rongping Zeng, Frank W. Samuelson, Berkman Sahiner
2016 — conf
Three scenarios of ranking inconsistencies involving search tasks.
Image Perception, Observer Performance, and Technology Assessment
Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
2015 — conf
Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies.
Computer-Aided Diagnosis
Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
2011 B conf
Application of Cover's theorem to the evaluation of the performance of CI observers.
IJCNN
Frank W. Samuelson, David G. Brown
2007 — conf
Advantages and Examples of Resampling for Cad Evaluation.
ISBI
Frank W. Samuelson, Nicholas Petrick, Sophie Paquerault
2006 — conf
Comparing image detection algorithms using resampling.
ISBI
Frank W. Samuelson, Nicholas Petrick
2006 — conf
Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal.
Digital Mammography / IWDM
Nicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner