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ORCIDImage Perception, Observer Performance, and Technology Assessment 2021
- Frank W. Samuelson, Sian Taylor-Phillips:
Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, Online, February 15-19, 2021. SPIE Proceedings 11599, SPIE 2021, ISBN 9781510640276
Welcome and Introduction
- Frank W. Samuelson, Sian Taylor-Phillips:
Welcome and introduction to the SPIE Image Perception, Observer Performance, and Technology Assessment Conference 11599.
The Annual Harold l. Kundel Honorary Lecture
- Nehmat Houssami:
The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an Exemplar.
Modality-Specific Assessment Methods
- Md. Ashequr Rahman
, Abhinav K. Jha:
Task-based assessment of binned and list-mode SPECT systems. - Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Tyler J. Fraum, Malak Itani, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha:
Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images. - Andrea Seung Kim, Wei-Chung Cheng, Ryan Beams, Aldo Badano:
Spatiotemporal characteristics of medical extended-reality systems. - Wei Zhou, Yi Tian, Xiaolu Cai, Zhenyu Fei:
Grayscale contrast enhancement based on greyscale-based contrast-to-noise ratio. - Juan-Pablo Cruz-Bastida, Natalie M. Baughan, Emily L. Marshall, Kayla Blunt, Kate A. Feinstein, Ingrid S. Reiser:
Towards the objective assessment of fluoroscopy systems: development of a framework to aid the design of tasks and metrics. - Ye Chen, Yuankai Huo:
Limitation of acyclic oriented graphs matching as cell tracking accuracy measure when evaluating mitosis.
Model observers I
- Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. - Iris Lorente, Craig K. Abbey, Jovan G. Brankov:
CNN based anthropomorphic model observer for defect localization. - Iris Lorente, Craig K. Abbey, Jovan G. Brankov:
Understanding CNN based anthropomorphic model observer using classification images. - John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan-Pablo Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, Xiaochuan Pan:
A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction. - Gihun Kim, Jongduk Baek:
Implementation of CNN-based multi-slice model observer for 3D cone beam CT.
Model observers II
- Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
Supervised learning-based ideal observer approximation for joint detection and estimation tasks. - Disha D. Rao, Maximilian P. Reymann, Patrick Faley, Francesc Massanes, Wesley Gohn, Alexander Hans Vija:
GAN generated model observer for one class detection in SPECT imaging. - Alexandra G. O'Neill, Emely L. Valdez, Sajan Goud Lingala, Angel R. Pineda:
Modeling human observer detection in undersampled magnetic resonance imaging (MRI). - Matthew A. Kupinski, Jiahua Fan:
Observer models utilizing compressed textures.
Artificial Intelligence
- Xiaomeng Gu, Yuliang Chai, Weiyang Xie, Jun Zhao, Qiang Li:
Effect of CAD system with a vessel suppression function on clinical lung nodule detection in chest CT scans. - Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan:
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. - Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
Task-based performance evaluation of deep neural network-based image denoising. - Hanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem, Wesley De Neve:
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. - Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
Assessing regularization in tomographic imaging via hallucinations in the null space. - Michelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney:
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI.
Observer Performance Evaluation and ROC
- Devi S. Klein, Miguel A. Lago, Miguel P. Eckstein:
The perceptual influence of 2D synthesized images on 3D search. - Basel A. Qenam, Tong Li, Patrick C. Brennan:
Test set participation may impact positively on clinical mammographic performance. - Abdulaziz S. Alshabibi, Moayyad E. Suleiman, Kriscia A. Tapia, Robert Heard, Patrick C. Brennan:
Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images. - Mitchell Searjeant, Peter Phillips, Dorina Roy, Alastair G. Gale, Yan Chen:
Blink identification with eye tracking: a software processing program. - Dorina Roy, Amanda Koh, Alastair G. Gale, Peter Phillips, William Teh, Michael Michell, Nisha Sharma, Iain T. Darker, Mitchell Searjeant, Ellhia Sudin, Yan Chen:
Employing eye tracking to identify the onset of fatigue in Digital Breast Tomosynthesis (DBT) readers for a national breast cancer screening programme. - Ziba Gandomkar, Tong Li, Phuong Dung Trieu, Sarah J. Lewis, Patrick C. Brennan:
A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography.
Posters
- Varun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Task-based evaluation of deep image super-resolution in medical imaging. - Yougu Yang, Ruikang Zhang, Xiaolu Cai, Zheng Cui, Yi Tian:
Learning observer design for object detection under complex background and variant locations: an application in IQ assessment with spectrum shaping technique for ultra-low dose lung imaging. - Francesc Massanes, A. Hans Vija:
Class classification using two alternate force choice against an ensemble of normal examples.
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