National University of Singapore

A ligand-conditioned masked discrete diffusion model that co-designs protein sequence and structure under explicit small-molecule constraints.

Multimodal LLM unifying 12-lead ECG time series, ECG images, and text for grounded, clinician-aligned electrocardiogram interpretation.

Medical large vision-language model unifying image comprehension and generation in one autoregressive framework via heterogeneous LoRA knowledge adaptation.

A fMRI brain-dynamics foundation model that adapts the Joint-Embedding Predictive Architecture with brain gradient positioning and spatiotemporal masking.

SAM2-based foundation model that segments 2D and 3D medical images by treating volumes and image sets as video object tracking.

A multimodal generalist foundation model for ophthalmic imaging, self-supervised on 2.78M images across 11 modalities for diagnosis, prognosis, and visual question answering.

A lightweight mixture-of-experts medical vision-language model that routes between domain-specific experts for VQA and image classification while activating only 30-50% of parameters.

A tokenized graph transformer for embedding longitudinal brain functional connectomes, enabling interpretable neurodegenerative disease diagnosis and progression prediction from fMRI.

Self-supervised vision foundation model pretrained on ~1.3M medical images via second-order graph matching, transferable across 15 medical imaging tasks.