Table of Contents

• CNN based anthropomorphic model observer for defect localizationIris Lorente, Craig K. Abbey, Jovan G. Brankov. [doi]
• Effect of time awake and hours slept at night on radiologists' interpretations of mammogram imagesAbdulaziz S. Alshabibi, Moayyad E. Suleiman, Kriscia A. Tapia, Robert Heard, Patrick C. Brennan. [doi]
• Welcome and introduction to the SPIE Image Perception, Observer Performance, and Technology Assessment Conference 11599Frank W. Samuelson, Sian Taylor-Phillips. [doi]
• 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 imagingYougu Yang, Ruikang Zhang, Xiaolu Cai, Zheng Cui, Yi Tian. [doi]
• Grayscale contrast enhancement based on greyscale-based contrast-to-noise ratioWei Zhou, Yi Tian, Xiaolu Cai, Zhenyu Fei. [doi]
• Implementation of CNN-based multi-slice model observer for 3D cone beam CTGihun Kim, Jongduk Baek. [doi]
• GAN generated model observer for one class detection in SPECT imagingDisha D. Rao, Maximilian P. Reymann, Patrick Faley, Francesc Massanes, Wesley Gohn, Alexander Hans Vija. [doi]
• Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET imagesZiping Liu, Richard Laforest, Joyce Mhlanga, Tyler J. Fraum, Malak Itani, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha. [doi]
• Class classification using two alternate force choice against an ensemble of normal examplesFrancesc Massanes, A. Hans Vija. [doi]
• Assessing regularization in tomographic imaging via hallucinations in the null spaceSayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio. [doi]
• A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammographyZiba Gandomkar, Tong Li, Phuong Dung Trieu, Sarah J. Lewis 0001, Patrick C. Brennan. [doi]
• Task-based evaluation of deep image super-resolution in medical imagingVarun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li 0003, Mark A. Anastasio. [doi]
• Towards the objective assessment of fluoroscopy systems: development of a framework to aid the design of tasks and metricsJuan-Pablo Cruz-Bastida, Natalie M. Baughan, Emily L. Marshall, Kayla Blunt, Kate A. Feinstein, Ingrid S. Reiser. [doi]
• Employing eye tracking to identify the onset of fatigue in Digital Breast Tomosynthesis (DBT) readers for a national breast cancer screening programmeDorina Roy, Amanda Koh, Alastair G. Gale, Peter Phillips, William Teh, Michael Michell, Nisha Sharma, Iain T. Darker, Mitchell Searjeant, Ellhia Sudin, Yan Chen 0012. [doi]
• Modeling human observer detection in undersampled magnetic resonance imaging (MRI)Alexandra G. O'Neill, Emely L. Valdez, Sajan Goud Lingala, Angel R. Pineda. [doi]
• Advancing the AmbientGAN for learning stochastic object modelsWeimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li 0003, Mark A. Anastasio. [doi]
• Limitation of acyclic oriented graphs matching as cell tracking accuracy measure when evaluating mitosisYe Chen, Yuankai Huo. [doi]
• Task-based assessment of binned and list-mode SPECT systemsMd. Ashequr Rahman, Abhinav K. Jha. [doi]
• Understanding CNN based anthropomorphic model observer using classification imagesIris Lorente, Craig K. Abbey, Jovan G. Brankov. [doi]
• The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an ExemplarNehmat Houssami. [doi]
• An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologistsZiba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis 0001, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan. [doi]
• A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstructionJohn Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan-Pablo Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, Xiaochuan Pan. [doi]
• Effect of CAD system with a vessel suppression function on clinical lung nodule detection in chest CT scansXiaomeng Gu, Yuliang Chai, Weiyang Xie, Jun Zhao, Qiang Li. [doi]
• Observer models utilizing compressed texturesMatthew A. Kupinski, Jiahua Fan. [doi]
• Blink identification with eye tracking: a software processing programMitchell Searjeant, Peter Phillips, Dorina Roy, Alastair G. Gale, Yan Chen 0012. [doi]
• The perceptual influence of 2D synthesized images on 3D searchDevi S. Klein, Miguel A. Lago, Miguel P. Eckstein. [doi]
• Task-based performance evaluation of deep neural network-based image denoisingKaiyan Li 0002, Weimin Zhou, Hua Li 0003, Mark A. Anastasio. [doi]
• Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRIMichelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney. [doi]
• Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosisHanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem, Wesley De Neve. [doi]
• Spatiotemporal characteristics of medical extended-reality systemsAndrea Seung Kim, Wei-Chung Cheng, Ryan Beams, Aldo Badano. [doi]
• Supervised learning-based ideal observer approximation for joint detection and estimation tasksKaiyan Li 0002, Weimin Zhou, Hua Li 0003, Mark A. Anastasio. [doi]
• Test set participation may impact positively on clinical mammographic performanceBasel A. Qenam, Tong Li, Patrick C. Brennan. [doi]