Incas: a cycle accurate model of UltraSPARC. - Guillermo Maturana; James L. Ball; Jeffery Gee; Amaresh Iyer; J. Michael O'Connor (ICCD, 1995)

UltraSparc I: a four-issue processor supporting multimedia. - Marc Tremblay; J. Michael O'Connor (IEEE Micro, 1996)

VIS speeds new media processing. - Marc Tremblay; J. Michael O'Connor; Venkatesh Narayanan; Liang He (IEEE Micro, 1996)

picoJava-I: the Java virtual machine in hardware. - J. Michael O'Connor; Marc Tremblay (IEEE Micro, 1997)

Comparison of Two Methods to Develop Breast Models for Simulation of Breast Tomosynthesis and CT. - J. Michael O'Connor; Mini Das; Clay Didier; Mufeed Mahmoud; Stephen J. Glick (Digital Mammography / IWDM, 2008)

Improved Microcalcification Detection for Breast Tomosynthesis Using a Penalized-Maximum-Likelihood Reconstruction Method. - Mini Das; Howard C. Gifford; J. Michael O'Connor; Stephen J. Glick (Digital Mammography / IWDM, 2010)

Development of an Ensemble of Digital Breast Object Models. - J. Michael O'Connor; Mini Das; Clay Didier; Mufeed Mah'd; Stephen J. Glick (Digital Mammography / IWDM, 2010)

Penalized Maximum Likelihood Reconstruction for Improved Microcalcification Detection in Breast Tomosynthesis. - Mini Das; Howard C. Gifford; J. Michael O'Connor; Stephen J. Glick (IEEE Trans. Medical Imaging, 2011)

Enhancement of 3D modeling and classification of microcalcifications in breast computed tomography (BCT). - Hiam Alquran; Eman Shaheen; J. Michael O'Connor; Mufeed Mah'd (Image Processing, 2014)

Machine-learning model observer for detection and localization tasks in clinical SPECT-MPI. - Felipe M. Parages; J. Michael O'Connor; P. Hendrik Pretorius; Jovan G. Brankov (Image Perception, Observer Performance, and Technology Assessment, 2016)

Development of methods to evaluate probability of reviewer's assessment bias in blinded independent central review (BICR) imaging studies. - J. Michael O'Connor; Manish Sharma; Anitha Singareddy (Image Perception, Observer Performance, and Technology Assessment, 2019)

Reader Disagreement Index: a better measure of overall review quality monitoring in an oncology trial compared to adjudication rate. - Manish Sharma; J. Michael O'Connor; Anitha Singareddy (Image Perception, Observer Performance, and Technology Assessment, 2019)

Using "Reader Disagreement Index" as a predictive reviewer performance monitoring tool for timely intervention. - Manish Sharma; J. Michael O'Connor; Anitha Singareddy; Madhuri Madasu; Nicholas Enus; Kassel Fotinos-Hoyer; Yibin Shao (Image Perception, Observer Performance, and Technology Assessment, 2020)