Obtaining labelled data in medical image segmentation is challenging due...
Neural networks are notorious for being overconfident predictors, posing...
Prior knowledge about the imaging physics provides a mechanistic forward...
With the growing adoption of deep learning models in different real-worl...
Risk prediction models using genetic data have seen increasing traction ...
Recent advances in appearance-based models have shown improved eye track...
Several scalable methods to compute the Kullback Leibler (KL) divergence...
While deep representation learning has become increasingly capable of
se...
The increasing availability of electrocardiogram (ECG) data has motivate...