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07/25/2023
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
Obtaining labelled data in medical image segmentation is challenging due...
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02/09/2023
Geometry of Score Based Generative Models
In this work, we look at Score-based generative models (also called diff...
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02/05/2023
Divide and Compose with Score Based Generative Models
While score based generative models, or diffusion models, have found suc...
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10/05/2022
Explanation Uncertainty with Decision Boundary Awareness
Post-hoc explanation methods have become increasingly depended upon for ...
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11/08/2021
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
There are limited works showing the efficacy of unsupervised Out-of-Dist...
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10/01/2021
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
Human interpretation of the world encompasses the use of symbols to cate...
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09/29/2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Estimating Kullback Leibler (KL) divergence from samples of two distribu...
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09/23/2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
The success of deep learning relies on the availability of large-scale a...
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08/04/2020
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Chest radiography is the most common medical image examination for scree...
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07/18/2020
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction
Deep neural networks have shown great potential in image reconstruction ...
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05/22/2020
Semi-supervised Medical Image Classification with Global Latent Mixing
Computer-aided diagnosis via deep learning relies on large-scale annotat...
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05/15/2020
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
The estimation of patient-specific tissue properties in the form of mode...
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02/25/2020
Reliable Estimation of Kullback-Leibler 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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09/03/2019
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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07/22/2019
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space
The success of deep learning in medical imaging is mostly achieved at th...
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07/01/2019
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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05/12/2019
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
Noninvasive reconstruction of cardiac transmembrane potential (TMP) from...
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03/05/2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences
Deep learning networks have shown state-of-the-art performance in many i...
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10/31/2018
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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10/12/2018