Our team published a new paper on Federated Learning!
The newly published FedDeepInsight framework represents a significant advancement in medical data analysis, particularly relevant to our burn injury research. By transforming tabular medical data into image format, we can now leverage powerful convolutional neural networks (CNNs) while maintaining strict patient privacy through federated learning principles.
Roland V. Bumbuc Presented at International Conference on Burns
Roland presented his groundbreaking work on a new burns model that uses human burns data to better understand how scars form after burns, advancing our knowledge in burn treatment and recovery.
Upcoming Thesis Fair 2025
Our team will be there just like last year to answer potential questions regarding our projects from students. We look forward to meeting you there!