Alexandre H. Thiery

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Diabetic Retinopathy

Optical Coherence Tomography

Top Venues

J. Mach. Learn. Res.

Publications

Alvin Heng, Alexandre H. Thiery, Harold Soh
Out-of-Distribution Detection with a Single Unconditional Diffusion Model. CoRR (2024)
Thanadet Chuangsuwanich, Monisha E. Nongpiur, Fabian A. Braeu, Tin Aung Tun, Alexandre H. Thiery, Shamira A. Perera, Ching Lin Ho, Martin Lindsay Buist, George Barbastathis, Tin Aung, Michaël J. A. Girard
Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains. CoRR (2024)
Chao Wang, Alexandre H. Thiery
GIT-Net: Generalized Integral Transform for Operator Learning. Trans. Mach. Learn. Res. 2023 (2023)
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions. ICML (2023)
Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao
A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation. CoRR (2022)
Fabian A. Braeu, Thanadet Chuangsuwanich, Tin Aung Tun, Alexandre H. Thiery, Tin Aung, George Barbastathis, Michaël J. A. Girard
AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing. CoRR (2022)
Charis Y. N. Chiang, Fabian Braeu, Thanadet Chuangsuwanich, Royston K. Y. Tan, Jacqueline Chua, Leopold Schmetterer, Alexandre H. Thiery, Martin L. Buist, Michaël J. A. Girard
Are Macula or Optic Nerve Head Structures better at Diagnosing Glaucoma? An Answer using AI and Wide-Field Optical Coherence Tomography. CoRR (2022)
Rahul Rahaman, Atin Ghosh, Alexandre H. Thiery
Pretrained Equivariant Features Improve Unsupervised Landmark Discovery. ICPR (2022)
Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao
A Generalized and Robust Framework for Timestamp Supervision in Temporal Action Segmentation. ECCV (4) (2022)
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions. CoRR (2022)
Atin Ghosh, Alexandre H. Thiery
On Data-Augmentation and Consistency-Based Semi-Supervised Learning. CoRR (2021)
Atin Ghosh, Alexandre H. Thiery
On Data-Augmentation and Consistency-Based Semi-Supervised Learning. ICLR (2021)
Rahul Rahaman, Atin Ghosh, Alexandre H. Thiery
Pretrained equivariant features improve unsupervised landmark discovery. CoRR (2021)
Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker. CoRR (2021)
Se-In Jang, Michael J. A. Girard, Alexandre H. Thiery
Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. NeSy (2021)
Rahul Rahaman, Alexandre H. Thiery
Uncertainty Quantification and Deep Ensembles. CoRR (2020)
Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich, Tin Aung Tun, Xiaofei Wang, Tin Aung, Leopold Schmetterer, Martin L. Buist, Craig Boote, Alexandre H. Thiery, Michael J. A. Girard
OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head. CoRR (2020)
Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Zhang Liang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin Aung Tun, Ching Yu Cheng, Leopold Schmetterer, Shamira A. Perera, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning. CoRR (2020)
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
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images. CoRR (2019)
Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Zhang Liang, Tin Aung Tun, Xiaofei Wang, Shamira A. Perera, Leopold Schmetterer, Tin Aung, Craig Boote, Alexandre H. Thiery, Michael J. A. Girard
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images. CoRR (2019)
Axel Finke, Alexandre H. Thiery
On the relationship between variational inference and adaptive importance sampling. CoRR (2019)
Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira A. Perera, Tin Aung Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiery, Michael J. A. Girard
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head. CoRR (2018)
Deborshee Sen, Alexandre H. Thiery, Ajay Jasra
On coupling particle filter trajectories. Stat. Comput. 28 (2) (2018)
Sripad Krishna Devalla, Prajwal K. Renukanand, Bharathwaj K. Sreedhar, Shamira A. Perera, Jean-Martial Mari, Khai Sing Chin, Tin Aung Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images. CoRR (2018)
Sripad Krishna Devalla, Jean-Martial Mari, Tin Aung Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head. CoRR (2017)
Yee Whye Teh, Alexandre H. Thiery, Sebastian J. Vollmer
Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics. J. Mach. Learn. Res. 17 (2016)