Search Results for author: Alexandre H. Thiery

Found 18 papers, 4 papers with code

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing

no code implementations9 Jun 2022 Fabian A. Braeu, Thanadet Chuangsuwanich, Tin A. Tun, Alexandre H. Thiery, Tin Aung, George Barbastathis, Michaël J. A. Girard

$\mathbf{Conclusions}$: We propose an AI-driven approach that can assess the robustness of a given ONH solely from a single OCT scan of the ONH, and without the need to perform biomechanical testing.

Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions

1 code implementation7 Jun 2022 Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery

This paper is concerned with online filtering of discretely observed nonlinear diffusion processes.

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma

no code implementations14 Apr 2022 Alexandre H. Thiery, Fabian Braeu, Tin A. Tun, Tin Aung, Michael J. A. Girard

Discussion: We provide a proof-of-principle for the application of geometric deep learning in the field of glaucoma.

Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning

no code implementations1 Apr 2022 Se-In Jang, Michael J. A. Girard, Alexandre H. Thiery

In this paper, we propose an explainable and interpretable diabetic retinopathy (ExplainDR) classification model based on neural-symbolic learning.

Classification Decision Making +1

The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker

no code implementations7 Nov 2021 Satish K. Panda, Haris Cheong, Tin A. Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira Perera, Ching-Yu Cheng, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard

Our work also suggested that the major retinal blood vessels form a skeleton -- the configuration of which may be representative of major ONH structural changes as typically observed with the development and progression of glaucoma.

Pretrained equivariant features improve unsupervised landmark discovery

no code implementations7 Apr 2021 Rahul Rahaman, Atin Ghosh, Alexandre H. Thiery

Locating semantically meaningful landmark points is a crucial component of a large number of computer vision pipelines.

On Data-Augmentation and Consistency-Based Semi-Supervised Learning

no code implementations ICLR 2021 Atin Ghosh, Alexandre H. Thiery

Recently proposed consistency-based Semi-Supervised Learning (SSL) methods such as the $\Pi$-model, temporal ensembling, the mean teacher, or the virtual adversarial training, have advanced the state of the art in several SSL tasks.

Data Augmentation

Uncertainty Quantification and Deep Ensembles

1 code implementation NeurIPS 2021 Rahul Rahaman, Alexandre H. Thiery

In fact, we show that standard ensembling methods, when used in conjunction with modern techniques such as mixup regularization, can lead to less calibrated models.

Data Augmentation Uncertainty Quantification

Manifold lifting: scaling MCMC to the vanishing noise regime

1 code implementation9 Mar 2020 Khai Xiang Au, Matthew M. Graham, Alexandre H. Thiery

Standard Markov chain Monte Carlo methods struggle to explore distributions that are concentrated in the neighbourhood of low-dimensional structures.

Computation

Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models

1 code implementation6 Dec 2019 Matthew M. Graham, Alexandre H. Thiery, Alexandros Beskos

Bayesian inference for nonlinear diffusions, observed at discrete times, is a challenging task that has prompted the development of a number of algorithms, mainly within the computational statistics community.

Computation Methodology 65C40 (Primary) 65C05, 65C40 (Secondary) G.3

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images

no code implementations7 Oct 2019 Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Zhang Liang, Tin Aung Tun, Xiaofei Wang, Shamira Perera, Leopold Schmetterer, Aung Tin, Craig Boote, Alexandre H. Thiery, Michael J. A. Girard

Image quality was assessed qualitatively (for artifacts) and quantitatively using the intralayer contrast: a measure of shadow visibility ranging from 0 (shadow-free) to 1 (strong shadow) and compared to compensated images.

Denoising Generative Adversarial Network +3

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images

no code implementations1 Sep 2019 Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiery, Craig Boote, Ching-Yu Cheng, Victor Koh, Michael J. A. Girard

Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle closure glaucoma.

Management

On importance-weighted autoencoders

no code implementations24 Jul 2019 Axel Finke, Alexandre H. Thiery

The importance weighted autoencoder (IWAE) (Burda et al., 2016) is a popular variational-inference method which achieves a tighter evidence bound (and hence a lower bias) than standard variational autoencoders by optimising a multi-sample objective, i. e. an objective that is expressible as an integral over $K > 1$ Monte Carlo samples.

Variational Inference

DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images

no code implementations1 Mar 2018 Sripad Krishna Devalla, Prajwal K. Renukanand, Bharathwaj K. Sreedhar, Shamira Perera, Jean-Martial Mari, Khai Sing Chin, Tin A. Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard

Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex morphological changes with the development and progression of glaucoma, their simultaneous isolation from optical coherence tomography (OCT) images may be of great interest for the clinical diagnosis and management of this pathology.

Management

A Discrete Bouncy Particle Sampler

no code implementations17 Jul 2017 Chris Sherlock, Alexandre H. Thiery

We leverage this result to obtain the theoretical efficiency of the Discrete Bouncy Particle Sampler as a function of the partial-refreshment parameter, which leads to a simple and robust tuning criterion.

Methodology Computation 65C40

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