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》

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

Python package to read Heidelberg Spectralis files

My implementation of 《Synthesizing Filamentary Structured Images with GANs》

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.

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.

🖼🔨 Optimize images hosted on Google Cloud Storage.

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

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

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

Code for regenerating the random-number-based contrast values used for white-noise stimulation in the Gollisch Lab. Used for both temporal and spatiotemporal stimuli.

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

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

Useful tools to compress and decompress AEDAT files in Python