SERA-Net, a convolutional architecture for brain tumor classification using MRI scans is presented, which provides a scalable design that can be adapted to different domains with limited modifications and was observed to outperform six pretrained CNN baselines by more than 5–10%, while using substantially fewer paramet...
J. Sahoo, Surendra Kumar Nanda, Ganapati Panda et al.· Bioengineering· 0 citations
This work introduces Rhamba, a region-aware pretraining framework that integrates anatomically guided masking with hybrid Attention-Mamba architectures for resting state functional magnetic resonance imaging (fMRI) analysis and demonstrates competitive performance against state-of-the-art methods.
Pankaj Pandey, Ruthwik Reddy Doodipala, Pratheek Eranki et al.· Computers in Biology and Med...· 0 citations
A detailed review of the current state of agentic AI is provided, starting with the evolution of AI and the concept of a medical agent, providing a structured foundation for understanding the design, deployment, governance, and limitations of agentic AI systems in modern healthcare ecosystems.
