octa

Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).

Fast native desktop app for exploring 20+ data formats like Parquet, DuckDB, SQLite, Excel, Arrow, GeoJSON, Jupyter and more, plus connections to Postgres, Snowflake, BigQuery, GCS, S3 and more. DuckDB SQL, charts, schema diffs, and an MCP server so AI agents query the same data.

Open-source cap table & equity management platform — free Carta alternative for startups

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

Fovea Avasclar Zone (FAZ) segmentation on OCTA image using UNet

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

This repository is for the 3D based OCTA image processing.

A centralized system which designed to manage multiple printers efficiently while enabling clients to upload files, select configurations, and request prints, which are then handled by the system and sent to the nearest printer for processing.

This repository is for the Deep learning(Classification & XAI) part with 3D OCTA volumes.

Octaform help developers to validate all forms in a simple way being completely agnostic to the framework that you're using

Menu Master is a simple chatbot that tracks the nutritional content of meals from popular restaurants using Octa-AI. It provides real-time data on calories, macronutrients, and more, helping users make healthier choices and manage their dietary goals with ease.

DRAC 2022 Task 2: OCTA Image Quality Assessment, which solves the task of rating OCTA image quality according to poor, good and excellent.

Joint retinal vessel + FAZ segmentation and OCTA disease classification (Healthy/DR/AMD). MSc thesis extending BSDA-Net (MICCAI 2021) with a clDice loss and a controlled ablation study. PyTorch.

MEMO: A multimodal EMA and OCTA retinal image dataset for retinal image registration and multimodal ophthalmic image analysis.

here is for python scripts

collection of python programs for cognac simulation

De-identified optical coherence tomography analysis for Parkinson’s disease progression: patient-level models (Logit), feature screening (RF/ANOVA), reproducible Jupyter notebook.

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