artifact-detection

Platform-agnostic quantification of technical noise in single-cell RNA-seq. Supports ONT, PacBio/Kinnex, and short-read 10x / BD Rhapsody / Smart-seq BAMs

MEGFlow: A Scalable and Reproducible Pipeline for Large-Scale MEG Preprocessing

Source code for paper: https://arxiv.org/pdf/2305.17370.pdf

This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."

A command-line pipeline for running and comparing stain-normalization methods on histology (H&E) images.

InSwapper Detector is a production-focused deepfake detection system designed to identify faces manipulated with INSwapper. It combines face detection, RGB image analysis, frequency artifact extraction, and a multi-task ConvNeXt-Tiny model for image, batch, and video-based detection.

An AI-powered computer vision and emergency-response research project focused on underwater artifact/artillery detection, image enhancement, and detection workflow experimentation using Python-based machine learning pipelines.

Web-based GUI for EEG/MEG epoch selection and artifact detection using the Scorepochs algorithm – developed by Roberto Onidi

Validation framework for physical realism, Raman consistency, and artifact detection in CARS/BCARS spectra.