Math Fancy – LaTeX Equation Editor
For those that need transparent images of latex math for your presentations and dislike the changes to codecogs I made an alternative! It will generate […]
Let’s stop reviewing for publishers that profit from research
What’s the deal with how we review papers for venues (like conferences and journals) for free and then they go on to sell and restrict […]
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 […]
TorchXRayVision: A library for chest X-ray datasets and models. Including pre-trained models
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 […]
Medical Imaging with Deep Learning Tutorial
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Building a public COVID-19 dataset of X-ray and CT scans
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 […]
Generalization challenges and making models right for the right reasons in medicine
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Representation learning
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Icentia11k ECG Dataset
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 […]
Dealing with internet restricted compute nodes in a cluster
There are some clusters, such as Beluga in the Compute Canada/Calcul Québec system of computers, which restrict access to the internet on compute nodes. One […]