29 citations · 103 across the 24 of their papers we have counts for
3 papers · 1 filter
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors
Prashnna K Gyawali, Cameron Knight, Sandesh Ghimire +3
While deep representation learning has become increasingly capable of separating task-relevant representations from other confounding factors in the data, two significant challenge…
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential
Sandesh Ghimire, Prashnna Kumar Gyawali, John L Sapp +2
Deep learning models have shown state-of-the-art performance in many inverse reconstruction problems. However, it is not well understood what properties of the latent representatio…
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia
Prashnna K Gyawali, B. Milan Horacek, John L. Sapp +1
The increasing availability of electrocardiogram (ECG) data has motivated the use of data-driven models for automating various clinical tasks based on ECG data. The development of…