OCT analysis tools

CODES CREATED BY OUR TEAM

Multiformat OCT File Readers: Python-based tools for parsing and extracting image and metadata from OCT files across multiple device formats (e.g., FDA and E2E). Designed to support standardised data access for retinal image analysis and AI development. 

Code 1: RaheleKafieh/fda_reader  

Code 1: RaheleKafieh/2e2_reader

RFA-U-net: A foundation model-driven approach for accurate choroid segmentation in OCT imaging

Code: RaheleKafieh/RFA-U-Net

Paper: Medrxiv

Deep learning-based diagnostic classification of multiple sclerosis using multicenter optical coherence tomography data

Code: RaheleKafieh/VISION-MS

Paper: Experimental Eye Research 

Discrimination of Multiple Sclerosis using Scanning Laser Ophthalmoscopy Images with Autoencoder-Based Feature Extraction

Code: RaheleKafieh/SLO-CAE

Paper:  Multiple Sclerosis and Related Disorders

SLO-net: Enhancing multiple sclerosis diagnosis beyond optical coherence tomography using infrared reflectance scanning laser ophthalmoscopy images

Code: RaheleKafieh/SLO-MSNet

Paper: TVST

A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images
Code: RaheleKafieh/Den-mimic-net

Paper: IEEE TIM

Livelayer: a semi-automatic software program for segmentation of layers and diabetic macular edema in optical coherence tomography images

Code: RaheleKafieh/Livelayer-Software

Paper: Scientific Reports

Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning

Code: RaheleKafieh/OCT-CVI-DeepLearning

Paper: Photonics

Automatic Multifaceted Matlab Package for Analysis of Ocular Images (AMPAO)

Code: RaheleKafieh/SOFTX_2019

Paper: SoftwareX AMPAO

A MATLAB package for automatic extraction of flow index in OCT-A images by intelligent vessel manipulation

Code: RaheleKafieh/SOFTX

Paper: SoftwareX