Performance analysis of some hard-decision combining schemes. - Richard Cam; Cyril Leung; Carson K. Lam (IEEE Trans. Commun., 1994)

Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. - Darvin Yi; Rebecca Lynn Sawyer; David Cohn III; Jared Dunnmon; Carson K. Lam; Xuerong Xiao; Daniel L. Rubin (CoRR, 2017)

Institutionally Distributed Deep Learning Networks. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2017)

Distributed deep learning networks among institutions for medical imaging. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (J. Am. Medical Informatics Assoc., 2018)

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. - Hoyt Burdick; Carson K. Lam; Samson Mataraso; Anna Siefkas; Gregory Braden; R. Phillip Dellinger; Andrea McCoy; Jean-Louis Vincent; Abigail Green-Saxena; Gina Barnes; Jana L. Hoffman; Jacob S. Calvert; et al. (Comput. Biol. Medicine, 2020)

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. - Keyvan Rahmani; Rahul Thapa; Pei-Ling Tsou; Satish Casie Chetty; Gina Barnes; Carson K. Lam; Chak Foon Tso (Int. J. Medical Informatics, 2023)