Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

A Django application developped for classification of a diabetes complication that affects eyes

An implementation of《Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks》

Python package to read Heidelberg Spectralis files

Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`

My implementation of 《Synthesizing Filamentary Structured Images with GANs》

Collaborative retina modelling across datasets and species.

This project serves as a prime example of computer vision's role in revolutionizing healthcare. By utilizing the Detectron2 framework this project enables accurate detection of tumors in brain MRI images. The resultant web application, developed using Streamlit, provides a user-friendly interface for visualizing these detections.

Hourglass network for topology extraction of retina images

Using OpenCV's Bioinspired Module Retina to enhance low(er) quality photos from e.g. an old compact camera.

A python wrapper for developing, organizing, and deploying vision science experiments.

🖼🔨 Optimize images hosted on Google Cloud Storage.

A Python package for computing the recall and precision scores specifically on thin vessels in retinal images and generating weight masks for BCE Loss to enhance models perfomance on segmenting these fine structures, as detailed in the paper "Vessel-Width-Based Metrics and Weight Masks for Retinal Blood Vessel Segmentation".

a (simplistic) neuromimetic retina model based on open hardware such as the raspberry π

A fast and versatile implementation of spike-triggered non-negative matrix factorization (STNMF) based on accelerated/fast HALS algorithms

Collection of Python scripts for analyzing extracellular multielectrode array recordings from the retina in the Gollisch lab, Göttingen.

ACCV'18 workshop - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

Useful tools to compress and decompress AEDAT files in Python