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 […]
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