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AFEN: Respiratory Disease Classification using Ensemble Learning
We present AFEN (Audio Feature Ensemble Learning), a model that leverages Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to perform state-of-the-art audio classification for a range of respiratory diseases.
BMapOpt: Optimization of Brain Tissue Probability Maps using a Differentiable MRI Simulator
Reconstructing digital brain phantoms in the form of multi-channeled brain tissue probability maps for individual subjects is essential for capturing brain anatomical variability, understanding neurological diseases, as well as for testing image processing methods.
GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis
Furthermore, we empirically observe reduced training time compared to neural network based image synthesis for sparse-view CT image reconstruction.
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