Research Advice
Here is a collection of advice from different people about how to do good research and write good papers. From Simon Peyton Jones In his […]
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 […]
Machine Learning for Medical Text and EHR (word2vec, RNNs)
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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 […]
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
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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 […]
Printing through an SSH server to LP
In some situations direct access to a printer is restricted (when JetDirect access to port 9100 is blocked). Typically the goal is that everyone prints […]
No more page numbers
As a society we have advanced past looking in paper journals to find the references of papers. Yet we still include these numbers in our […]
A survey of deep learning approaches to medical applications
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