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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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
2024 Joseph Paul Cohen