24 citations · 110 across the 14 of their papers we have counts for
3 papers · 1 filter
Multimodal Learning for Multi-Omics: A Survey
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian +1
With advanced imaging, sequencing, and profiling technologies, multiple omics data become increasingly available and hold promises for many healthcare applications such as cancer d…
Interpretable bilinear attention network with domain adaptation improves drug-target prediction
Peizhen Bai, Filip Miljković, Bino John +1
Predicting drug-target interaction is key for drug discovery. Recent deep learning-based methods show promising performance but two challenges remain: (i) how to explicitly model a…
Uncertainty Estimation for Heatmap-based Landmark Localization
Lawrence Schobs, Andrew J. Swift, Haiping Lu
Automatic anatomical landmark localization has made great strides by leveraging deep learning methods in recent years. The ability to quantify the uncertainty of these predictions…