Zobrazeno 1 - 10
of 517
pro vyhledávání: '"GIRARD, MICHAEL"'
Autor:
Chuangsuwanich, Thanadet, Nongpiur, Monisha E., Braeu, Fabian A., Tun, Tin A., Thiery, Alexandre, Perera, Shamira, Ho, Ching Lin, Buist, Martin, Barbastathis, George, Aung, Tin, Girard, Michaël J. A.
Objective. (1) To assess whether neural tissue structure and biomechanics could predict functional loss in glaucoma; (2) To evaluate the importance of biomechanics in making such predictions. Design, Setting and Participants. We recruited 238 glaucom
Externí odkaz:
http://arxiv.org/abs/2406.14988
$\bf{Purpose}$: To assess whether Growth & Remodeling (G&R) theory could explain staphyloma formation from a local scleral weakening. $\bf{Methods}$: A finite element model of a healthy eye was reconstructed, including the following connective tissue
Externí odkaz:
http://arxiv.org/abs/2404.03330
Autor:
Braeu, Fabian A., Chuangsuwanich, Thanadet, Tun, Tin A., Perera, Shamira A., Husain, Rahat, Kadziauskiene, Aiste, Schmetterer, Leopold, Thiéry, Alexandre H., Barbastathis, George, Aung, Tin, Girard, Michaël J. A.
$\bf{Purpose}$: To describe the 3D structural changes in both connective and neural tissues of the optic nerve head (ONH) that occur concurrently at different stages of glaucoma using traditional and AI-driven approaches. $\bf{Methods}$: We included
Externí odkaz:
http://arxiv.org/abs/2301.02837
Autor:
Chiang, Charis Y. N., Braeu, Fabian, Chuangsuwanich, Thanadet, Tan, Royston K. Y., Chua, Jacqueline, Schmetterer, Leopold, Thiery, Alexandre, Buist, Martin, Girard, Michaël J. A.
Purpose: (1) To develop a deep learning algorithm to automatically segment structures of the optic nerve head (ONH) and macula in 3D wide-field optical coherence tomography (OCT) scans; (2) To assess whether 3D macula or ONH structures (or the combin
Externí odkaz:
http://arxiv.org/abs/2210.06664
A wide variety of adversarial attacks have been proposed and explored using image and audio data. These attacks are notoriously easy to generate digitally when the attacker can directly manipulate the input to a model, but are much more difficult to
Externí odkaz:
http://arxiv.org/abs/2209.00757
Autor:
Braeu, Fabian A., Chuangsuwanich, Thanadet, Tun, Tin A., Thiery, Alexandre H., Aung, Tin, Barbastathis, George, Girard, Michaël J. A.
$\mathbf{Purpose}$: To use artificial intelligence (AI) to: (1) exploit biomechanical knowledge of the optic nerve head (ONH) from a relatively large population; (2) assess ONH robustness from a single optical coherence tomography (OCT) scan of the O
Externí odkaz:
http://arxiv.org/abs/2206.04689
Purpose: (1) To assess the performance of geometric deep learning (PointNet) in diagnosing glaucoma from a single optical coherence tomography (OCT) 3D scan of the optic nerve head (ONH); (2) To compare its performance to that obtained with a standar
Externí odkaz:
http://arxiv.org/abs/2204.07004
Autor:
Braeu, Fabian A., Thiéry, Alexandre H., Tun, Tin A., Kadziauskiene, Aiste, Barbastathis, George, Aung, Tin, Girard, Michaël J. A.
Purpose: The optic nerve head (ONH) undergoes complex and deep 3D morphological changes during the development and progression of glaucoma. Optical coherence tomography (OCT) is the current gold standard to visualize and quantify these changes, howev
Externí odkaz:
http://arxiv.org/abs/2204.06931
In this paper, we propose an explainable and interpretable diabetic retinopathy (ExplainDR) classification model based on neural-symbolic learning. To gain explainability, a highlevel symbolic representation should be considered in decision making. S
Externí odkaz:
http://arxiv.org/abs/2204.00624
Due to the Internet of Things (IoT) proliferation, Radio Frequency (RF) channels are increasingly congested with new kinds of devices, which carry unique and diverse communication needs. This poses complex challenges in modern digital communications,
Externí odkaz:
http://arxiv.org/abs/2204.01536