Computer-Aided Breast Cancer Detection and Diagnosis of Masses Using Difference of Gaussians and Derivative-Based Feature Saliency. - William E. Polakowski; Donald A. Cournoyer; Steven K. Rogers; Martin P. DeSimio; Dennis W. Ruck; Jeffrey W. Hoffmeister; Richard A. Raines (IEEE Trans. Medical Imaging, 1997)

Automated global matching of temporal thoracic helical CT studies: feasibility study. - Metin N. Gurcan; Russell C. Hardie; Steven K. Rogers; D. E. Dozer; Brent H. Allen; R. V. Burns; Jeffrey W. Hoffmeister (CARS, 2003)

Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods. - Metin N. Gurcan; Randy Ernst; Aytekin Oto; Steve Worrell; Jeffrey W. Hoffmeister; Steve Rogers (Image Processing, 2006)

Workflow improvements for digital breast tomosynthesis: computerized generation of enhanced synthetic images. - Sergei V. Fotin; Yin Yin; Hrishikesh Haldankar; Jeffrey W. Hoffmeister; Senthil Periaswamy (Computer-Aided Diagnosis, 2016)

Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approaches. - Sergei V. Fotin; Yin Yin; Hrishikesh Haldankar; Jeffrey W. Hoffmeister; Senthil Periaswamy (Computer-Aided Diagnosis, 2016)

Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features. - Yin Yin; Sergei V. Fotin; Hrishikesh Haldankar; Jeffrey W. Hoffmeister; Senthil Periaswamy (CoRR, 2016)