Nature

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditions in the intensive care unit (ICU), including recognised rare diseases and low-prevalence conditions ...
GitHub

4D-OR: Semantic Scene Graphs for OR Domain Modeling

Official code of the paper 4D-OR: Semantic Scene Graphs for OR Domain Modeling (https://link.springer.com/chapter/10.1007/978-3-031-16449-1_45) published at MICCAI ...
Nature

Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation

Artificial intelligence for rare pathological lesion detection faces dual challenges: expert annotation scarcity and domain shifts across institutions. Using multi-institutional kidney biopsies from ...
GitHub

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-domain Few-Shot Learning (CVPR 2024)

We release following pre-trained checkpoints using Masked Image Modelling (MIM) for reproducibility. We mainly follow the hyperparameters provided for pre-training using MIM while additionally ...
PNAS

Protein stability engineering insights revealed by domain-wide comprehensive mutagenesis

Using liquid-handling automation, we constructed and measured the thermodynamic stability of almost every single mutant of protein G (Gβ1), a small domain. This self-consistent dataset is the largest ...