Popular GitHub Repositories for Hex Rays Decompiler

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

? Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

MiniZero: An AlphaZero and MuZero Training Framework

Multi-Label Image Classification of Chest X-Rays In Pytorch

[MICCAI 2022] Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

⚙️ A comprehensive Tutorials on ATMEL 8051 Series Microcontrollers (AT89S51/52) Programming using Assembly Language. Learn how to use 8051 Microcontrollers from the ground up! This repository covers everything from the basics to advanced interfacing techniques with examples. Using Proteus for simulations, you'll get hands-on experiences. Enjoy!

GAN-based method to create counterfactual explanations for chest X-rays

"AI" demystified: a decompiler

Official code for "SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance" MICCAI 2024 (Simplified Version)

Official Implementation for the paper titled: "Counterfactual Disease Removal and Generation in Chest X-Rays Using Diffusion Models"

MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.

This repository contains the official code of the research paper Study on transfer learning capabilities for pneumonia classification in chest-x-rays images pubblished at the Computer Methods and Programs in Biomedicine Journal.

A VGG16 based Attention Mechanism to detect COVID in X-Rays

Humanized Hex Agents

Website that implements the machine learning model for classifying the presence and correct placement of tubes on chest x-rays, allowing for easy access and practical application of the model by medical professionals.

This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.

? MyPixel simplifies pixel art enhancement with powerful upscaling, vectorization, and batch processing. Ideal for designers, developers, and digital artists.

Diagnosing Pneumonia or COVID-19 from Chest X-Rays using CNNs.

Code for the papers by the MaViDH research group related to the application of computer vision on X-Rays of COVID-19 patients