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07/24/2023
Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction
This paper introduces feature gradient flow, a new technique for interpr...
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03/20/2023
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
In recent years, computational pathology has seen tremendous progress dr...
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09/20/2021
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics
The structural network of the brain, or structural connectome, can be re...
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03/09/2021
Structural Connectome Atlas Construction in the Space of Riemannian Metrics
The structural connectome is often represented by fiber bundles generate...
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10/09/2018
The Adversarial Attack and Detection under the Fisher Information Metric
Many deep learning models are vulnerable to the adversarial attack, i.e....
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11/21/2017
The Riemannian Geometry of Deep Generative Models
Deep generative models learn a mapping from a low dimensional latent spa...
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05/24/2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
Semi-supervised learning methods using Generative Adversarial Networks (...
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12/22/2012
Hierarchical Graphical Models for Multigroup Shape Analysis using Expectation Maximization with Sampling in Kendall's Shape Space
This paper proposes a novel framework for multi-group shape analysis rel...
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01/11/2012