Artificial Intelligence | Medical Imaging | Ophthalmology A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images. May 17, 2024
Artificial Intelligence | Medical Imaging | Ophthalmology Ensemble learning for retinal disease recognition under limited resources. May 2, 2024
Ophthalmology Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. February 13, 2024
Neurology | Ophthalmology [Retinal optical coherence tomography biomarkers and their association with cognitive functions : Clinical and artificial intelligence approaches. German version]. January 29, 2024
Ophthalmology Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. November 9, 2023
Medical Imaging | Neurology | Ophthalmology Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios. September 8, 2023
Ophthalmology MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification. September 1, 2023
Ophthalmology Multi-scale convolutional neural network for automated AMD classification using retinal OCT images. March 8, 2022
Neurology | Ophthalmology Modular deep neural networks for automatic quality control of retinal optical coherence tomography scans. September 22, 2021
Ophthalmology | Radiology Autoencoder based self-supervised test-time adaptation for medical image analysis. July 10, 2021
Ophthalmology Artificial Intelligence (AI) and Retinal Optical Coherence Tomography (OCT). March 18, 2021
Ophthalmology Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. June 6, 2019