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Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: Houston, TX, USA
- Frank W. Samuelson, Sian Taylor-Phillips:
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11316, SPIE 2020, ISBN 9781510633995
The Annual Harold L. Kundel Honorary Lecture
- Maryellen L. Giger:
Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation). 1131602
Oberver Performance Evaluation
- Elizabeth A. Krupinski, Henry Zhan, Sadaf Sahraian, Elham Beheshtian, Robert E. Morales, David M. Yousem:
Where's WALDO: a potential tool for training radiology residents? 1131605 - Amanda Koh
, Dorina Roy, Alastair G. Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen:
Understanding digital pathology performance: an eye tracking study. 1131607 - Abdulaziz S. Alshabibi, Moayyad E. Suleiman
, Kriscia A. Tapia, Robert Heard, Patrick C. Brennan
:
Effect of time of day on radiology image interpretations. 1131608 - Alexander Dabrowiecki, Alexander Villalobos
, Elizabeth A. Krupinski:
Blue light filtering glasses and computer vision syndrome: a pilot study. 1131609 - Manish Sharma, J. Michael O'Connor, Anitha Singareddy, Madhuri Madasu, Nicholas Enus, Kassel Fotinos-Hoyer, Yibin Shao:
Using "Reader Disagreement Index" as a predictive reviewer performance monitoring tool for timely intervention. 113160A
Model Observers I
- Gregory Ongie, Emil Y. Sidky, Ingrid S. Reiser, Xiaochuan Pan:
Supervised learning of model observers for assessment of CT image reconstruction algorithms. 113160B - Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio:
Learning efficient channels with a dual loss autoencoder. 113160C - Weimin Zhou, Mark A. Anastasio:
Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks. 113160D - Fenglei Fan, Sangtae Ahn, Bruno De Man
, Kristen A. Wangerin, Scott D. Wollenweber, Craig K. Abbey, Paul E. Kinahan
:
Deep learning-based model observers that replicate human observers for PET imaging. 113160E - Iris Lorente, Craig K. Abbey, Jovan G. Brankov
:
Deep learning based model observer by U-Net. 113160F
Breast
- Craig K. Abbey, Michael A. Webster, Tanya D. Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos
:
Sequential reading effects in Dutch screening mammography. 113160G - Areej S. Aloufi
, Abdulrahman AlNaeem, Abeer Almousa, Khaled Alzimami, Abdulrahman Alfuraih, Bader Alshahrani, Mohammed Zayed, Taghrid AlMashouq, Saud Alnasser, Khera Aldossari, Mona Alomrani, Iman Alzahrani, Elaine F. Harkness, Susan M. Astley:
Breast density in Saudi Arabia: intra and inter reader variability in screening mammograms assessed visually using BI-RADS and visual analogue scales. 113160H - Amy Van Dusen, Michael Vieceli, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney:
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI. 113160I - Ziba Gandomkar
, Ernest U. Ekpo, Sarah J. Lewis
, Moayyad E. Suleiman
, Kriscia Tapia, Tong Li
, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick C. Brennan
:
Investigating the potential of a gist-sensitive computer-aided detection tool. 113160J
ROC Methodology
- Brian J. Smith, Stephen L. Hillis
:
Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities. 113160K - Dylan H. Shekter, Frank W. Samuelson:
Efficiently calculating ROC curves, AUC, and uncertainty from 2AFC studies with finite samples. 113160L - Xiaochen Zhu, Weijie Chen:
Simulation of multi-reader multi-case study data with realistic ROC performance characteristics. 113160M - Stephen L. Hillis
:
Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on read-data or conjectured Obuchowski-Rockette parameter estimates. 113160N
Technology Assessment
- Jennie Crosby, Sophia Chen, Feng Li, Heber MacMahon, Maryellen L. Giger:
Network output visualization to uncover limitations of deep learning detection of pneumothorax. 113160O - Zohaib Amjad Khan, Azeddine Beghdadi, Faouzi Alaya Cheikh, Mounir Kaaniche, Egidijus Pelanis
, Rafael Palomar, Åsmund Avdem Fretland, Bjørn Edwin, Ole Jakob Elle:
Towards a video quality assessment based framework for enhancement of laparoscopic videos. 113160P - Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements. 113160Q - Hui Shi
, Grace J. Gang, Junyuan Li, Eleni Liapi, Craig K. Abbey, J. Webster Stayman:
Performance assessment of texture reproduction in high-resolution CT. 113160R - Kenny H. Cha, Alexej Gossmann
, Nicholas Petrick, Berkman Sahiner:
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. 113160S - Jordan D. Fuhrman, Peter Halloran, Rowena Yip, Artit C. Jirapatnakul
, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger:
Effect of observer variability and training cases on U-Net segmentation performance. 113160T
Model Observers II
- Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Human observer templates for lesion discrimination tasks. 113160U - Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic
, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. 113160V - Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio:
Learning numerical observers using unsupervised domain adaptation. 113160W - Dimitar Petrov, Nicholas Marshall
, Liesbeth Vancoillie, Lesley Cockmartin, Hilde Bosmans
:
Deep learning channelized Hotelling observer for multi-vendor DBT system image quality evaluation. 113160X - Byeongjoon Kim, Minah Han, Jongduk Baek:
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images. 113160Y
Poster Session
- Julia Guillou, Romain Bourcier, Florent Autrusseau:
Brain vasculature segmentation based on human perception criteria. 113160Z - Matthew A. Kupinski, Zachary Garrett, Jiahua Fan:
Observer-driven texture analysis in CT imaging. 1131610 - Changwoo Lee, Jongduk Baek:
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images. 1131611 - Minah Han, Byeongjoon Kim, Jongduk Baek:
A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks. 1131612 - Wei Zhou, Yi Tian, Zhengyu Fei, Yougu Yang:
Human visual property based grayscale contrast enhancement: phantom-based effectiveness assessment. 1131613 - Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, D. Brooks, J. Young, Tom Kimpe:
Perceptual image quality in digital dermoscopy. 1131614 - Qi Gao, Sui Li, Manman Zhu, Danyang Li, Zhaoying Bian, Qingwen Lv, Dong Zeng, Jianhua Ma:
Combined global and local information for blind CT image quality assessment via deep learning. 1131615 - Dimitar Petrov, Nicholas Marshall
, Liesbeth Vancoillie, Lesley Cockmartin, Hilde Bosmans
:
Anthropomorphic ResNet18 for multi-vendor DBT image quality evaluation. 1131616 - Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic
, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. 1131617 - Ramy Mohammed Abdlaty, Lillian Doerwald, Joseph Hayward, Qiyin Fang:
Spectral assessment of radiation therapy-induced skin erythema. 1131619
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