A command line tool for converting optical coherence tomography angiography (OCTA) data.

Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.

A graphical user interface for deep learning intravascular ultrasound and optical coherence tomography segmentation and gating in coronary artery anomalies and coronary artery disease

A python package to read, analyse and visualize OCT and fundus data from various sources.

"Transformer-based end-to-end classification of variable-length volumetric data" that will appear in MICCAI 2023.

Repo for code to process raw OCT files (e2e, fda, vol) into tiff volumes.

Minimal working examples for "A guide to dynamic OCT data analysis"

A mulit-modal annotation tool for retinal imaging data

Official implementation of “XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning” (MICCAI 2025)

Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).

MARIO Challenge MICCAI 2024

[AISY] Self-Supervised Learning-Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

This project benchmarks modern object detection models (YOLOv8–v12, YOLOE, YOLO-World, RT-DETR) for retinal Optical Coherence Tomography (OCT) analysis.

Python package to read Heidelberg Spectralis files

is a Django-based backend for an Optical Coherence Tomography (OCT) diagnostic system. It provides API endpoints for image processing, classification, and data management to assist ophthalmologists in diagnosing retinal conditions.

2024年亚太眼科学会大数据竞赛 使用人工智能自動從眼底照生成OCT （25/40）baseline 代码

Official code for Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations (MICCAI'24)

In this repository, the sorce code of Python GUI to process B-Scan of OCT imaging system OCP930SR is presented.

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

Multi-Scale GCN-Assisted Two-Stage Network for Joint Segmentation of Retinal Layers and Disc in Peripapillary OCT Images