New publication at Nature Machine Intelligence
Federated disentangled representation learning for unsupervised brain anomaly detection by Cosmin I. Bercea et al. has been published at Nature Machine Intelligence.
In this work, a federated algorithm was trained on more than 1,500 MR scans of healthy study participants from four institutions while maintaining data privacy with the goal to detect diseases such as multiple sclerosis, vascular disease, and various forms of brain tumors that the algorithm had never seen before.
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Cosmin I. Bercea
Research Scientist
I am a postdoctoral researcher specializing in vision and multimodal learning for medical image analysis, with the current focus on developing vision-language models for generative downstream tasks.