Craig K. Abbey

Craig K. Abbey

University of California, Santa Barbara

H-index: 41

North America-United States

About Craig K. Abbey

Craig K. Abbey, With an exceptional h-index of 41 and a recent h-index of 20 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Medical Imaging, visual perception, observer performance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Designing for Sensory Adaptation: What You See Depends on What You’ve Been Looking at-Recommendations, Guidelines and Standards Should Reflect This

Cancer-rates in inter-exam-time defined batches of screening DBT images

Microcalcification detectability in breast CT images using CNN observers

A bivariate binormal model for modelling double reading of screening mammograms

Ordering mammograms for improved mammography screening performance

A hybrid CNN-Swin Transformer network as deep learning model observer to predict human observer performance in 2AFC trial

Adaptive learning approach to improve generalization performance of a domain-aware CNN-based ideal model observer

Use of equivalent relative utility to evaluate artificial intelligence-based rule-out devices

Craig K. Abbey Information

University

Position

Dept. of Psychological and Brain Sciences

Citations(all)

6137

Citations(since 2020)

1472

Cited By

5233

hIndex(all)

41

hIndex(since 2020)

20

i10Index(all)

118

i10Index(since 2020)

50

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Craig K. Abbey Skills & Research Interests

Medical Imaging

visual perception

observer performance

Top articles of Craig K. Abbey

Title

Journal

Author(s)

Publication Date

Designing for Sensory Adaptation: What You See Depends on What You’ve Been Looking at-Recommendations, Guidelines and Standards Should Reflect This

Policy Insights from the Behavioral and Brain Sciences

Michael A Webster

Mohana Kuppuswamy Parthasarathy

Margarita L Zuley

Andriy I Bandos

Lorne Whitehead

...

2024/3

Cancer-rates in inter-exam-time defined batches of screening DBT images

Craig K Abbey

Andriy I Bandos

Mohana K Parthasarathy

Michael A Webster

Margarita L Zuley

2024/3/29

Microcalcification detectability in breast CT images using CNN observers

Medical Physics

Su Hyun Lyu

Craig K Abbey

Andrew M Hernandez

John M Boone

2024/2

A bivariate binormal model for modelling double reading of screening mammograms

Craig K Abbey

Jessie JJ Gommers

Miguel P Eckstein

Mireille JM Broeders

Ioannis Sechopoulos

2024/3/29

Ordering mammograms for improved mammography screening performance

Jessie JJ Gommers

Sarah Verboom

Michael A Webster

Craig K Abbey

Mireille Broeders

...

2024/3/29

A hybrid CNN-Swin Transformer network as deep learning model observer to predict human observer performance in 2AFC trial

Muhan Shao

Jhimli Mitra

Darrin W Byrd

Craig K Abbey

Fatemeh Behnia

...

2024/3/29

Adaptive learning approach to improve generalization performance of a domain-aware CNN-based ideal model observer

Nebojsa Bogdanovic

Craig K Abbey

Yongyi Yang

Jovan G Brankov

2024/3/29

Use of equivalent relative utility to evaluate artificial intelligence-based rule-out devices

Kwok Lung Fan

Yee Lam Elim Thompson

Weijie Chen

Craig K Abbey

Frank W Samuelson

2024/3/29

DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT

IEEE Transactions on Radiation and Plasma Medical Sciences

Md Ashequr Rahman

Zitong Yu

Richard Laforest

Craig K Abbey

Barry A Siegel

...

2024/3/25

A foveated channelized Hotelling observer model extended to anatomical liver CT images

Laura K Evans

Craig K Abbey

Devi S Klein

François O Bochud

Sabine Schmidt

...

2024/3/29

Discrimination tasks in simulated low‐dose CT noise

Medical Physics

Craig K Abbey

Frank W Samuelson

Rongping Zeng

John M Boone

Kyle J Myers

...

2023/7

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

Zitong Yu

Md Ashequr Rahman

Craig K Abbey

Barry A Siegel

Abhinav K Jha

2023/4/7

Visual adaptation to medical images: a comparison of digital mammography and tomosynthesis

Journal of Medical Imaging

Mohana Kuppuswamy Parthasarathy

Margarita L Zuley

Andriy I Bandos

Craig K Abbey

Michael A Webster

2023/2/1

A Feasibility Study of Domain-aware Deep Learning Ideal Model Observer

N Bogdanovic

CK Abbey

JG Brankov

2023/11/4

DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT

arXiv preprint arXiv:2306.04249

Md Ashequr Rahman

Zitong Yu

Craig K Abbey

Barry A Siegel

Abhinav K Jha

2023/6/7

Discriminability of non-Gaussian noise properties in CT

Kirsten L Boedeker

Daniel W Shin

L Oostveen

I Sechopoulos

C Abbey

2023/4/3

Local texture statistics augment the power spectrum in modeling radiographic judgments of breast density

Journal of Medical Imaging

Craig K Abbey

Margarita L Zuley

Jonathan D Victor

2023/11/1

Pre‐whitened matched filter and convolutional neural network based model observer performance for mass lesion detection in non‐contrast breast CT

Medical Physics

Su Hyun Lyu

Craig K Abbey

Andrew M Hernandez

John M Boone

2023/12

Comparison of performance between board-certified physicians and medically naive readers in a simple PET images detection task

Paul Kinahan

Sangtae Ahn

Scott Wollenweber

Kristen Wangerin

Darrin Byrd

...

2023/6/1

Model observer performance in contrast‐enhanced lesions in breast CT: The influence of contrast concentration on detectability

Medical Physics

Su Hyun Lyu

Andrew M Hernandez

Shadi Aminololama Shakeri

Craig K Abbey

John M Boone

2023/11

See List of Professors in Craig K. Abbey University(University of California, Santa Barbara)

Co-Authors

H-index: 95
Simon Cherry

Simon Cherry

University of California, Davis

H-index: 76
John M Boone

John M Boone

University of California, Davis

H-index: 54
Miguel Eckstein

Miguel Eckstein

University of California, Santa Barbara

H-index: 46
Andrew Maidment

Andrew Maidment

University of Pennsylvania

H-index: 45
Michael A. Webster

Michael A. Webster

University of Nevada, Reno

H-index: 39
Roger Zemp

Roger Zemp

University of Alberta

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