Michael Fitzke

According to our database, Michael Fitzke authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images.

Lucas Wannenmacher, Michael Fitzke, Diane Wilson, Andre Dourson

CoRR, 2023

2022

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

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

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