
Enhancing Mixupbased SemiSupervised Learning with Explicit Lipschitz Regularization
The success of deep learning relies on the availability of largescale a...
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Learning Invariant Feature Representation to Improve Generalization across Chest Xray Datasets
Chest radiography is the most common medical image examination for scree...
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Learning GeometryDependent and PhysicsBased Inverse Image Reconstruction
Deep neural networks have shown great potential in image reconstruction ...
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Semisupervised Medical Image Classification with Global Latent Mixing
Computeraided diagnosis via deep learning relies on largescale annotat...
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Highdimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
The estimation of patientspecific tissue properties in the form of mode...
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Reliable Estimation of KullbackLeibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space
Several scalable methods to compute the Kullback Leibler (KL) divergence...
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Improving Disentangled Representation Learning with the Beta Bernoulli Process
To improve the ability of VAE to disentangle in the latent space, existi...
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SemiSupervised Learning by Disentangling and SelfEnsembling Over Stochastic Latent Space
The success of deep learning in medical imaging is mostly achieved at th...
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Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
Personalization of cardiac models involves the optimization of organ tis...
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Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
Noninvasive reconstruction of cardiac transmembrane potential (TMP) from...
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Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences
Deep learning networks have shown stateoftheart performance in many i...
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Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors
While deep representation learning has become increasingly capable of se...
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Improving Generalization of Sequence EncoderDecoder Networks for Inverse Imaging of Cardiac Transmembrane Potential
Deep learning models have shown stateoftheart performance in many inv...
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Sandesh Ghimire
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