Table of Contents

• Changes in breast densityLucy M. Warren, Mark D. Halling-Brown, Louise S. Wilkinson, Rosalind M. Given-Wilson, Rita McAvinchey, Matthew G. Wallis, David R. Dance, K. C. Young. [doi]
• Using transfer learning for a deep learning model observerW. Murphy, Premkumar Elangovan, Mark D. Halling-Brown, E. Lewis, K. C. Young, David R. Dance, Kevin Wells. [doi]
• New difference of Gaussian channel-sets for the channelized Hotelling observer?Christiana Balta, Ioannis Sechopoulos, Ramona W. Bouwman, Mireille J. M. Broeders, Nico Karssemeijer, Ruben E. van Engen, Wouter J. H. Veldkamp. [doi]
• 2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue modelChristiana Balta, Ioannis Sechopoulos, Wouter J. H. Veldkamp, Ruben E. van Engen, Ingrid S. Reiser. [doi]
• Comparing senior residents performance to radiologists in lung cancer detectionBadera Al Mohammad, Stephen L. Hillis, Warren M. Reed, Charbel Saade, Patrick C. Brennan. [doi]
• BI-RADS density categorization using deep neural networksZiba Gandomkar, Moayyad E. Suleiman, Delgermaa Demchig, Patrick C. Brennan, Mark F. McEntee. [doi]
• Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variabilityN. Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, S. Kappler, A. Maier. [doi]
• Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkersQi Gong, Qin Li, Marios A. Gavrielides, Nicholas Petrick. [doi]
• Blinding of the second reader in mammography screening: impact on behaviour and cancer detectionJennifer Anne Cooper, David Jenkinson, Sian Taylor-Phillips. [doi]
• Is there a safety-net effect with computer-aided detection (CAD)?Ethan Du-Crow, Lucy M. Warren, Susan M. Astley, Johan Hulleman. [doi]
• Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CTHao Gong, Andrew Walther, Qiyuan Hu, Chi Wan Koo, Edwin A. Takahashi, David L. Levin, Tucker F. Johnson, Megan J. Hora, Shuai Leng, Joel G. Fletcher, Cynthia H. McCollough, Lifeng Yu. [doi]
• Reader Disagreement Index: a better measure of overall review quality monitoring in an oncology trial compared to adjudication rateManish Sharma, J. Michael O'Connor, Anitha Singareddy. [doi]
• Impact of patient photos on detection accuracy, decision confidence, and eye-tracking parameters in chest and abdomen images with tubes and linesElizabeth A. Krupinski. [doi]
• Assessment of a quantitative mammographic imaging marker for breast cancer risk predictionMorteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng 0001. [doi]
• Estimating latent reader-performance variability using the Obuchowski-Rockette methodStephen L. Hillis, Badera Al Mohammad, Patrick C. Brennan. [doi]
• Laguerre-Gauss and sparse difference-of-Gaussians observer models for signal detection using constrained reconstruction in magnetic resonance imagingAngel R. Pineda. [doi]
• A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammographyLucas R. Borges, Paulo Mazzoncini de Azevedo Marques, Marcelo A. C. Vieira. [doi]
• The relationship between breast screening readers' real-life performance and their associated performance on the PERFORMS scheme (Conference Presentation)Leng Dong, Jacquie Jenkins, Eleanor Cornford, Yan Chen. [doi]
• Learning stochastic object model from noisy imaging measurements using AmbientGANsWeimin Zhou, Sayantan Bhadra, Frank Brooks, Mark A. Anastasio. [doi]
• Development of methods to evaluate probability of reviewer's assessment bias in blinded independent central review (BICR) imaging studiesJ. Michael O'Connor, Manish Sharma, Anitha Singareddy. [doi]
• Implementation of an ideal observer model using convolutional neural network for breast CT imagesGihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek. [doi]
• Radiation therapy induced-erythema: comparison of spectroscopic diffuse reflectance measurements and visual assessmentRamy Mohammed Abdlaty, Lilian Doerwald-Munoz, Joseph Hayward, Qiyin Fang. [doi]
• Adaptive sample size re-estimation in MRMC studiesWeijie Chen, Zhipeng Huang 0007, Frank Samuelson, Lucas Tcheuko. [doi]
• Tests of projection and reconstruction domain equivalence for a feature-driven model observerHoward C. Gifford, Zohreh Karbaschi. [doi]
• A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D imagesMiguel A. Lago, Craig K. Abbey, Miguel P. Eckstein. [doi]
• An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imagingAlistair Mackenzie, Emma L. Thomson, Premkumar Elangovan, Chantal Van Ongeval, Lesley Cockmartin, Lucy M. Warren, Rosalind M. Given-Wilson, Louise S. Wilkinson, Matthew G. Wallis, David R. Dance, Kenneth C. Young. [doi]
• Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia A. Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan. 1095203 [doi]
• Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT)Nicholas M. D'Ardenne, Robert M. Nishikawa, Margarita L. Zuley, Chia-Chien Wu, Jeremy M. Wolfe. 1095204 [doi]
• Automatic strategy for CHO channel reduction in x-ray angiography systemsDaniel Gomez-Cardona, Shuai Leng, Christopher P. Favazza, Beth A. Schueler, Kenneth A. Fetterly. 1095205 [doi]
• Template models for forced-localization tasksCraig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers. 1095206 [doi]
• Autoencoder embedding of task-specific informationJason L. Granstedt, Weimin Zhou, Mark A. Anastasio. 1095207 [doi]
• Learning the Hotelling observer for SKE detection tasks by use of supervised learning methodsWeimin Zhou, Hua Li 0003, Mark A. Anastasio. 1095208 [doi]
• Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networksWeimin Zhou, Mark A. Anastasio. 1095209 [doi]
• A case study regarding clinical performance evaluation method of medical device software for approvalKoji Shimizu, Gakuto Aoyama, Mizuho Nishio, Masahiro Yakami, Takeshi Kubo, Yutaka Emoto, Tatsuya Ito, Tomohiro Kuroda, Hiroyoshi Isoda. 1095210 [doi]
• In-vitro and in-vivo comparison of radiation dose estimates between state-of-the-art interventional fluoroscopy systemsL. Trunz, D. J. Eschelman, C. F. Gonsalves, R. Adamo, J. K. Dave. 1095211 [doi]
• Prostate Imaging Self-assessment and Mentoring (PRISM): a prototype self-assessment schemeEleni Michalopoulou, Alastair Gale, Yan Chen. 1095212 [doi]
• Deep residual-network-based quality assessment for SD-OCT retinal images: preliminary studyMin Zhang, Jia-yang Wang, Lei Zhang, Jun Feng, Yi Lv. 1095214 [doi]
• A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterizationMarc J. Pomeroy, Matthew A. Barish, Perry J. Pickhardt, Jie Yang, Zhengrong Liang. 1095215 [doi]
• Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannotSuneeta Mall, Elizabeth Krupinski, Claudia Mello-Thoms. 1095216 [doi]