Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. - M. Wasil Wahi-Anwar; Nastaran Emaminejad; John M. Hoffman; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2018)

SimpleMind adds thinking to deep neural networks. - Youngwon Choi; M. Wasil Wahi-Anwar; Matthew S. Brown (CoRR, 2022)

Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. - Gabriel Melendez-Corres; Youngwon Choi; M. Wasil Wahi-Anwar; Heidi Coy; Steven S. Raman; Matthew S. Brown (Computer-Aided Diagnosis, 2023)

Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function. - Siyuan Wei; Youngwon Choi; M. Wasil Wahi-Anwar; Liza Shrestha; Koon-Pong Wong; Matthew S. Brown (Computer-Aided Diagnosis, 2023)

Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. - Spencer Welland; Gabriel Melendez-Corres; Pangyu Teng; Heidi Coy; M. Wasil Wahi-Anwar; Steven S. Raman; Matthew S. Brown (Image Processing, 2023)

Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. - Matthew S. Brown; M. Wasil Wahi-Anwar; Youngwon Choi; Morgan Daly; Liza Shrestha; Koon-Pong Wong; Jonathan G. Goldin; Dieter R. Enzmann (NeSy, 2023)