no code implementations • 17 May 2023 • Andre Dourson, Roberto Santilli, Federica Marchesotti, Jennifer Schneiderman, Oliver Roman Stiel, Fernando Junior, Michael Fitzke, Norbert Sithirangathan, Emil Walleser, Xiaoli Qiao, Mark Parkinson
The 2D scalogram are then classified as either normal or abnormal by a binary CNN classifier.
no code implementations • 19 May 2022 • Riccardo Fogliato, Shreya Chappidi, Matthew Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi
A critical aspect of interaction design for AI-assisted human decision making are policies about the display and sequencing of AI inferences within larger decision-making workflows.
no code implementations • 9 Nov 2021 • Michael Fitzke, Conrad Stack, Andre Dourson, Rodrigo M. B. Santana, Diane Wilson, Lisa Ziemer, Arjun Soin, Matthew P. Lungren, Paul Fisher, Mark Parkinson
This work describes the development and real-world deployment of a deep learning-based AI system for evaluating canine and feline radiographs across a broad range of findings and abnormalities.
no code implementations • 17 Aug 2021 • Michael Fitzke, Derick Whitley, Wilson Yau, Fernando Rodrigues Jr, Vladimir Fadeev, Cindy Bacmeister, Chris Carter, Jeffrey Edwards, Matthew P. Lungren, Mark Parkinson
Approach: Multiple state-of-the-art deep learning techniques for histopathology image classification and mitotic figure detection were used in the development of OncoPetNet.