Alexandre H. Thiéry

26 papers A* 2C 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. CoRR Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. IEEE Trans. Signal Process. Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2023	J	`jnl`	The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage. CoRR Fabian A. Braeu, Thanadet Chuangsuwanich, Tin Aung Tun, Shamira A. Perera, Rahat Husain, Aiste Kadziauskiene, Leopold Schmetterer, Alexandre H. Thiéry, George Barbastathis, Tin Aung, Michaël J. A. Girard
2022	J	`jnl`	Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. CoRR Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry
2022	J	`jnl`	Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis. CoRR Fabian A. Braeu, Alexandre H. Thiéry, Tin Aung Tun, Aiste Kadziauskiene, George Barbastathis, Tin Aung, Michaël J. A. Girard
2022	J	`jnl`	Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma. CoRR Alexandre H. Thiéry, Fabian A. Braeu, Tin Aung Tun, Tin Aung, Michael J. A. Girard
2021	J	`jnl`	3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen. CoRR Michael J. A. Girard, Satish Kumar Panda, Tin Aung Tun, Elisabeth A. Wibroe, Raymond P. Najjar, Aung Tin, Alexandre H. Thiéry, Steffen Hamann, Clare Fraser, Dan Milea
2021	C	`conf`	Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. NeSy Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry
2021	A*	`conf`	On Data-Augmentation and Consistency-Based Semi-Supervised Learning. ICLR Atin Ghosh, Alexandre H. Thiéry
2021	J	`jnl`	On Data-Augmentation and Consistency-Based Semi-Supervised Learning. CoRR Atin Ghosh, Alexandre H. Thiéry
2021	J	`jnl`	Pretrained equivariant features improve unsupervised landmark discovery. CoRR Rahul Rahaman, Atin Ghosh, Alexandre H. Thiéry
2021	J	`jnl`	Sequential ensemble transform for Bayesian inverse problems. J. Comput. Phys. Aaron Myers, Alexandre H. Thiéry, Kainan Wang, Tan Bui-Thanh
2021	J	`jnl`	The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker. CoRR 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. Thiéry, Michael J. A. Girard
2021	A*	`conf`	Uncertainty Quantification and Deep Ensembles. NeurIPS Rahul Rahaman, Alexandre H. Thiéry
2020	J	`jnl`	Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence. CoRR Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Sripad Krishna Devella, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard
2020	J	`jnl`	OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head. CoRR Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich, Tin Aung Tun, Xiaofei Wang, Tin Aung, Leopold Schmetterer, Martin L. Buist, Craig Boote, Alexandre H. Thiéry, Michael J. A. Girard
2020	J	`jnl`	Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning. CoRR 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. Thiéry, Michael J. A. Girard
2020	J	`jnl`	Uncertainty Quantification and Deep Ensembles. CoRR Rahul Rahaman, Alexandre H. Thiéry
2019	J	`jnl`	Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images. CoRR Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiéry, Craig Boote, Ching Yu Cheng, Victor Koh, Michael J. A. Girard
2019	J	`jnl`	DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images. CoRR 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. Thiéry, Michael J. A. Girard
2019	J	`jnl`	On the relationship between variational inference and adaptive importance sampling. CoRR Axel Finke, Alexandre H. Thiéry
2018	J	`jnl`	A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head. CoRR Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira A. Perera, Tin Aung Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiéry, Michael J. A. Girard
2018	J	`jnl`	DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images. CoRR 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. Thiéry, Michael J. A. Girard
2018	J	`jnl`	On coupling particle filter trajectories. Stat. Comput. Deborshee Sen, Alexandre H. Thiéry, Ajay Jasra
2017	J	`jnl`	A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head. CoRR Sripad Krishna Devalla, Jean-Martial Mari, Tin Aung Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard
2016	J	`jnl`	Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics. J. Mach. Learn. Res. Yee Whye Teh, Alexandre H. Thiéry, Sebastian J. Vollmer