Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling. - Matthew S. Creamer; Edward C. Stites; Meraj Aziz; James A. Cahill; Chin Wee Tan; Michael E. Berens; Haiyong Han; Kimberly J. Bussey; Daniel D. Von Hoff; William S. Hlavacek; Richard G. Posner (BMC Syst. Biol., 2012)

Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training. - Xinwei Yu; Matthew S. Creamer; Francesco Randi; Anuj K. Sharma; Scott W. Linderman; Andrew M. Leifer (CoRR, 2021)

Correcting motion induced fluorescence artifacts in two-channel neural imaging. - Matthew S. Creamer; Kevin S. Chen; Andrew M. Leifer; Jonathan W. Pillow (PLoS Comput. Biol., 2022)