Michael Kann

According to our database, Michael Kann authored at least 5 papers between 2012 and 2026.

Collaborative distances:

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

2026

Uncertainty-Quantified and Explainable Age- and Sex-Aware Contrastive Learning for Knee Osteoarthritis Classification.

Fengyi Gao, Farnaz Rezvani, Yushui Han, Michael Kann, Nickolas Littlefield, Hilal Maradit Kremers, Adolph J. Yates, Johannes F. Plate, Ahmad P. Tafti

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Self-supervised Representation Learning for AI-Based Musculoskeletal Radiograph Registry Construction.

Nickolas Littlefield, Michael Kann, Monjurul Islam, Maimouna Sanogo, Zoe Menezes, Fengyi Gao, Nicole Myers, Samuel Ewalefo, MaCalus V. Hogan, Johannes F. Plate, Qiangqiang Gu, Ahmad P. Tafti

Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025

2024

Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.

Nickolas Littlefield, Soheyla Amirian, Jacob T. Biehl, Edward G. Andrews, Michael Kann, Nicole Myers, Leah Reid, Adolph J. Yates, Brian J. McGrory, Bambang Parmanto, Thorsten M. Seyler, Johannes F. Plate, Hooman H. Rashidi, Ahmad P. Tafti

J. Am. Medical Informatics Assoc., 2024

EndovasculAR: Utility of Mixed Reality to Segment Large Displays in Surgical Settings.

Griffin J. Hurt, Talha Khan, Michael Kann, Edward G. Andrews, Jacob T. Biehl

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

2012

Automatic non-parametric capsid segmentation using wavelets transform and graph.

Florian Levet, Aurelia Cassany, Michael Kann, Jean-Baptiste Sibarita

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012