🩺 Enhance glaucoma detection with GF-Care, a deep learning tool for automatic optic disc and cup segmentation from fundus images for accurate CDR calculation.

🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.

Avalanche DEXs analysis: segment traders and liquidity providers; study retention and growth with dashboards and stories; Flipside data, Python scripts 🐙

Generate a diverse dataset of 100 face-swapped images using the Inswapper model for training robust face-swap detection classifiers. 🖼️🔍

Powerful network reconnaissance and penetration testing toolkit for authorized security testing. Explore BRS tools for effective vulnerability assessment. 🛠️🐙

This project leverages computer vision techniques to analyze parking lot occupancy. The goal is to detect available parking spaces in real-time using image and video input.

An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.

A Energy, Power and Cost Optimization Solution powered by AI, Created by the Team X- Factors

cuCIM - RAPIDS GPU-accelerated image processing library

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Training code and pre-trained models for Neural Cellular Automata on different datasets and tasks

3D medical imaging reconstruction software

DFANet: A Difference Fusion Attention-based method for Semantic Change Detection

Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

[MICCAI 2025 Best Paper and Young Scientist Awards Finalist] Learning Segmentation from Radiology Reports

Open source Python library for building bioimage analysis pipelines

Multi-platform, free open source software for visualization and image computing.

CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

Supervised 2.5D U-Net for Vascular Segmentation of Human Renal Arteries on HiP-CT