research
∙
01/07/2023
The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage
Purpose: To describe the 3D structural changes in both connective and ne...
share
research
∙
06/09/2022
AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing
𝐏𝐮𝐫𝐩𝐨𝐬𝐞: To use artificial intelligence (AI) to: (1) exploit biomechanic...
research
∙
06/07/2022
Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions
This paper is concerned with online filtering of discretely observed non...
research
∙
04/14/2022
Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma
Purpose: (1) To assess the performance of geometric deep learning (Point...
research
∙
04/14/2022
Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis
Purpose: The optic nerve head (ONH) undergoes complex and deep 3D morpho...
research
∙
04/01/2022
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning
In this paper, we propose an explainable and interpretable diabetic reti...
research
∙
12/18/2021
3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
Purpose: (1) To develop a deep learning algorithm to identify major tiss...
research
∙
11/07/2021
The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
Purpose: To assess whether the three-dimensional (3D) structural configu...
research
∙
08/23/2021
Conditional sequential Monte Carlo in high dimensions
The iterated conditional sequential Monte Carlo (i-CSMC) algorithm from ...
research
∙
04/07/2021
Pretrained equivariant features improve unsupervised landmark discovery
Locating semantically meaningful landmark points is a crucial component ...
research
∙
01/18/2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Recently proposed consistency-based Semi-Supervised Learning (SSL) metho...
research
∙
12/17/2020
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence
The optic nerve head (ONH) typically experiences complex neural- and con...
research
∙
07/17/2020
Uncertainty Quantification and Deep Ensembles
Deep Learning methods are known to suffer from calibration issues: they ...
research
∙
03/09/2020
Manifold lifting: scaling MCMC to the vanishing noise regime
Standard Markov chain Monte Carlo methods struggle to explore distributi...
research
∙
12/06/2019
Manifold Markov chain Monte Carlo methods for Bayesian inference in a wide class of diffusion models
Bayesian inference for partially observed, nonlinear diffusion models is...
research
∙
10/07/2019
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images
Purpose: To remove retinal shadows from optical coherence tomography (OC...
research
∙
09/20/2019
Sequential Ensemble Transform for Bayesian Inverse Problems
We present the Sequential Ensemble Transform (SET) method, a new approac...
research
∙
09/01/2019
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images
Accurate isolation and quantification of intraocular dimensions in the a...
research
∙
07/24/2019
On importance-weighted autoencoders
The importance weighted autoencoder (IWAE) (Burda et al., 2016) is a pop...
research
∙
07/24/2019
On the relationship between variational inference and adaptive importance sampling
The importance weighted autoencoder (IWAE) (Burda et al., 2016) and rewe...
research
∙
06/03/2019
A scalable optimal-transport based local particle filter
Filtering in spatially-extended dynamical systems is a challenging probl...
research
∙
04/21/2019
Particle filter efficiency under limited communication
Sequential Monte Carlo (SMC) methods are typically not straightforward t...
research
∙
09/27/2018
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
Purpose: To develop a deep learning approach to de-noise optical coheren...
research
∙
03/01/2018
DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images
Given that the neural and connective tissues of the optic nerve head (ON...
research
∙
07/17/2017