Counterfactual Explanations for Chest X-rays
The goal of a prediction explanation method is to identify features which are relevant to the prediction of a neural network and convey that information […]
The goal of a prediction explanation method is to identify features which are relevant to the prediction of a neural network and convey that information […]
TorchXRayVision: A library for chest X-ray datasets and models. Including pre-trained models. Motivation: While there are many publications focusing on the prediction of radiological […]
In the context of a COVID-19 pandemic, is it crucial to streamline diagnosis. Last year, our team developed Chester, an artificially intelligent (AI) chest X-ray […]
The Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset This is a dataset of continuous raw electrocardiogram (ECG) signals containing 11 thousand patients and 2 billion […]
Deep learning has shown promise to augment radiologists and improve the standard of care globally. Two main issues that complicate deploying these systems are patient […]
ShortScience.org currently facilitates scholarly discussion of research papers after they have been published. Every research paper has a page on the site where researchers publish […]
In 2015 the ability to perform object classification locally on a cell phone allowed for a new kind of tool for the blind to be […]
Academic Torrents is a platform for researchers to share data. It consists of two pieces: a site where users can search for datasets, and a […]
TCP/IP has tools such as nmap and netcat to explore devices and create socket connections. Bluetooth has sockets but doesn’t have the same tools. Blucat […]
This is a general version of the Google Gravity code. I modified this code so it could be used as a prank tool for coworkers […]
2024 Joseph Paul Cohen