2 papers
q-bio.GN2024
Metadata-guided Feature Disentanglement for Functional Genomics
Alexander Rakowski, Remo Monti, Viktoriia Huryn +3
With the development of high-throughput technologies, genomics datasets rapidly grow in size, including functional genomics data. This has allowed the training of large Deep Learni…
cs.CV2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Aiham Taleb, Matthias Kirchler, Remo Monti +1
High annotation costs are a substantial bottleneck in applying modern deep learning architectures to clinically relevant medical use cases, substantiating the need for novel algori…