[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

[ICMLA'19] [Tensorflow] Classifying different Retinal Diseases using Deep Learning from Optical Coherence Tomography Images

Code for optical coherence refraction tomography (OCRT)

Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes

A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24

Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images

fully convolutional network for automated dispersion compensation in OCT images

Implementation for OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation (IEEE Transactions on Biomedical Engineering))

Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks

Multimodal Fusion for Deep Learning for Artery-Vein Segmentation using OCT and OCTA. The implementation is using Python and TensorFlow.

This respository contains preprocessing steps taken while making a classifier for OCT - Optical Coherence Tomography - images of AMD and DME eye diseases.

[ICIP'20] [Tensorflow] Improving robustness using Joint Supervised-Unsupervised Network for OCT images

A Label-Free and Data-Free Synthesis Engine and Training Framework for Vascular Segmentation of sOCT Data with PyTorch.

Polarization-sensitive optical coherence tomography

Parametric scan patterns for laser scanning microscopy

Repository containing the code used to evaluate a swallow CNN model trained on datasets created using a per-image or per-volume split strategy

Deep learning-based classification of OCT images: application on thyroid diseases