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ORCIDMedical 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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