Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer. - Andrew A. Borkowski; Catherine P. Wilson; Steven A. Borkowski; Lauren A. Deland; Stephen M. Mastorides (CoRR, 2018)

Lung and Colon Cancer Histopathological Image Dataset (LC25000). - Andrew A. Borkowski; Marilyn M. Bui; L. Brannon Thomas; Catherine P. Wilson; Lauren A. Deland; Stephen M. Mastorides (CoRR, 2019)

Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia. - Akum S. Kang; Loveleen C. Kang; Stephen M. Mastorides; Philip R. Foulis; Lauren A. Deland; Robert P. Seifert; Andrew A. Borkowski (CoRR, 2021)

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. - Hunter Morera; Roshan Warman; Azubuogu Anudu; Chukwudumebi Uche; Ivana Radosavljevic; Nikhil Reddy; Ahan Kayastha; Niharika Baviriseaty; Rahul Mhaskar; Andrew A. Borkowski; Patrick Brady; Satish Singh; et al. (Algorithms, 2022)

Predicting ward transfer mortality with machine learning. - José Lezama; Gil Alterovitz; Colleen E. Jakey; Ana L. Kraus; Michael J. Kim; Andrew A. Borkowski (Frontiers Artif. Intell., 2023)

Pilot Lightweight Denoising Algorithm for Multiple Sclerosis on Spine MRI. - John D. Mayfield 001; Katie Bailey; Andrew A. Borkowski; Narayan Viswanadhan (J. Digit. Imaging, 2023)