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 […]
Medical
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 […]
Chester the AI Radiology Assistant
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 […]
The Latent Transcriptome
In this work we propose a method to compute continuous embeddings for kmers from raw RNA-seq data of the transcriptome, without the need for alignment […]
Gene Graph Convolutions
We discuss how gene-gene interaction graphs (same pathway, protein-protein, co-expression, or research paper text association) can be used to impose a bias on a deep […]
Feature Hallucination in Medical Image Translation
We discuss how image translation research can lead to the misdiagnosis of medical conditions. This can cause an issue when the data provided in the […]
Count-ception: Heterogeneous cell counting
This work develops a method to count heterogeneous objects, such as cell nuclei or sealions. We develop a deep learning based system to that takes […]