default search action
Image 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
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
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
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
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
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
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
Test set participation may impact positively on clinical mammographic performance. - Abdulaziz S. Alshabibi, Moayyad E. Suleiman
Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images. - Mitchell Searjeant, Peter Phillips
Blink identification with eye tracking: a software processing program. - Dorina Roy, Amanda Koh, Alastair G. Gale, Peter Phillips
Employing eye tracking to identify the onset of fatigue in Digital Breast Tomosynthesis (DBT) readers for a national breast cancer screening programme. - Ziba Gandomkar
A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography.
Posters
- Varun A. Kelkar, Xiaohui Zhang
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.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-15 01:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: