Author

Ganapati Panda

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Open access Sep 2026

SERA-Net: Rethinking CNN Design for Brain Tumor Classification via Squeeze-and-Excite Attention and Residual Learning

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

Open access Aug 2026

Dygenn dynamic Gaussian weighted evolving Spiking Neural Network model for enhanced neurological disease detection

A novel SNN model, Dynamic Gaussian-Weighted Evolving Spiking Neural Network (DyGENN) is developed and applied for the detection of Parkinson’s disease and epileptic seizure and outperforms existing models in both scenarios, suggesting its potential for broader application to other neurological conditions characterized...

Priya Das, Sarita Nanda, P. K. Sahoo et al. · Discover Computing · 0 citations