Why there are no mental representations. - Michael Morris (Minds Mach., 1991)

Beyond interpretation: Reply to Cummins' response. - Michael Morris (Minds Mach., 1992)

Galen Strawson, Mental Reality. - Michael Morris (Minds Mach., 1997)

ARQuake: An Outdoor/Indoor Augmented Reality First Person Application. - Bruce H. Thomas; Benjamin Close; John Donoghue; John Squires; Phillip De Bondi; Michael Morris; Wayne Piekarski (ISWC, 2000)

Performance of Ethical Military Research is Possible: On and Off the Battlefield. - John McManus; Annette McClinton; Robert Gerhardt; Michael Morris (Sci. Eng. Ethics, 2007)

Wireless Broadband Measurement in California. - Youngjoon Byun; Sathya Narayanan; Stephanie Mott; Ken Biba; Jason Schwenkler; Robert Osborn; Michael Morris (ITNG, 2013)

Personalizing lung cancer risk prediction and imaging follow-up recommendations using the National Lung Screening Trial dataset. - Jason Hostetter; James J. Morrison; Michael Morris; Jean Jeudy; Kenneth C. Wang; Eliot L. Siegel (J. Am. Medical Informatics Assoc., 2017)

Computer-Aided Reporting of Chest Radiographs: Efficient and Effective Screening in the Value-Based Imaging Era. - Michael Morris; Babak Saboury; Niketh Bandla; Christopher Toland; Christopher Meenan; Eliot L. Siegel; Jean Jeudy (J. Digit. Imaging, 2017)

Artificial intelligence for point of care radiograph quality assessment. - Satyananda Kashyap; Mehdi Moradi; Alexandros Karargyris; Joy T. Wu; Michael Morris; Babak Saboury; Eliot L. Siegel; Tanveer F. Syeda-Mahmood (Computer-Aided Diagnosis, 2019)

Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN. - Sumeet Menon; Joshua Galita; David Chapman 001; Aryya Gangopadhyay; Jayalakshmi Mangalagiri; Phuong Nguyen; Yaacov Yesha; Yelena Yesha; Babak Saboury; Michael Morris (IEEE BigData, 2020)

Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data. - Phuong Nguyen; David Chapman 001; Sumeet Menon; Michael Morris; Yelena Yesha (Computer-Aided Diagnosis, 2020)

Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN. - Sumeet Menon; Joshua Galita; David R. Chapman 001; Aryya Gangopadhyay; Jayalakshmi Mangalagiri; Phuong Nguyen; Yaacov Yesha; Yelena Yesha; Babak Saboury; Michael Morris (CoRR, 2020)

Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening. - Sumeet Menon; David R. Chapman 001; Phuong Nguyen; Yelena Yesha; Michael Morris; Babak Saboury (CoRR, 2020)

Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network. - Jayalakshmi Mangalagiri; David Chapman 001; Aryya Gangopadhyay; Yaacov Yesha; Joshua Galita; Sumeet Menon; Yelena Yesha; Babak Saboury; Michael Morris; Phuong Nguyen (CoRR, 2021)

Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. - Michael Morris; Peter Hayes; Ingemar J. Cox; Vasileios Lampos (CoRR, 2021)

CCS-GAN: COVID-19 CT-scan classification with very few positive training images. - Sumeet Menon; Jayalakshmi Mangalagiri; Joshua Galita; Michael Morris; Babak Saboury; Yaacov Yesha; Yelena Yesha; Phuong Nguyen; Aryya Gangopadhyay; David Chapman 001 (CoRR, 2021)

IDIOMS: Infectious Disease Imaging Outbreak Monitoring System. - Aryya Gangopadhyay; Michael Morris; Babak Saboury; Eliot L. Siegel; Yelena Yesha (Digit. Gov. Res. Pract., 2021)

On Colouring Oriented Graphs of Large Girth. - P. Mark Kayll; Michael Morris (Contributions Discret. Math., 2023)

Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. - Michael Morris; Peter Hayes; Ingemar J. Cox; Vasileios Lampos (PLoS Comput. Biol., 2023)

CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images. - Sumeet Menon; Jayalakshmi Mangalagiri; Joshua Galita; Michael Morris; Babak Saboury; Yaacov Yesha; Yelena Yesha; Phuong Nguyen; Aryya Gangopadhyay; David Chapman 001 (J. Digit. Imaging, 2023)

Forecasting infectious disease prevalence with associated uncertainty using neural networks. - Michael Morris (CoRR, 2024)