OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting. - Michael Fitzke; Derick Whitley; Wilson Yau; Fernando Rodrigues Jr; Vladimir Fadeev; Cindy Bacmeister; Chris Carter; Jeffrey Edwards; Matthew P. Lungren; Mark Parkinson (CoRR, 2021)

RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice. - Michael Fitzke; Conrad Stack; Andre Dourson; Rodrigo M. B. Santana; Diane Wilson; Lisa Ziemer; Arjun Soin; Matthew P. Lungren; Paul Fisher; Mark Parkinson (CoRR, 2021)

Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. - Riccardo Fogliato; Shreya Chappidi; Matthew P. Lungren; Paul Fisher; Diane Wilson; Michael Fitzke; Mark Parkinson; Eric Horvitz; Kori Inkpen; Besmira Nushi (FAccT, 2022)

StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images. - Lucas Wannenmacher; Michael Fitzke; Diane Wilson; Andre Dourson (CoRR, 2023)

PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines. - Andre Dourson; Roberto Santilli; Federica Marchesotti; Jennifer Schneiderman; Oliver Roman Stiel; Fernando Junior; Michael Fitzke; Norbert Sithirangathan; Emil Walleser; Xiaoli Qiao; Mark Parkinson (CoRR, 2023)

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging. - Andre Dourson; Kylie Taylor; Xiaoli Qiao; Michael Fitzke (CoRR, 2025)