no code implementations • 9 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.
1 code implementation • 7 Jun 2022 • Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
This paper is concerned with online filtering of discretely observed nonlinear diffusion processes.
no code implementations • 14 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.
no code implementations • 1 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.
no code implementations • 7 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.
no code implementations • 7 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.
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.
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.
1 code implementation • 9 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
no code implementations • 22 Feb 2020 • Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Liang Zhang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin A. Tun, Ching-Yu Cheng, Leopold Schmetterer, Shamira Perera, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur along with the progression of glaucoma.
1 code implementation • 6 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
no code implementations • 7 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.
no code implementations • 1 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.
no code implementations • 24 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.
no code implementations • 27 Sep 2018 • Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira Perera, Tin A. Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiery, Michael J. A. Girard
For all the ONH tissues, the mean CNR increased from $3. 50 \pm 0. 56$ (single-frame) to $7. 63 \pm 1. 81$ (denoised).
no code implementations • 1 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.
no code implementations • 24 Jul 2017 • Sripad Krishna Devalla, Jean-Martial Mari, Tin A. Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
Purpose: To develop a deep learning approach to digitally-stain optical coherence tomography (OCT) images of the optic nerve head (ONH).
no code implementations • 17 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