All Competitors

Uncertainty-aware diffusion model that enhances cryo-EM density maps while estimating voxel-wise confidence via Monte Carlo sampling.

A NAFNet backbone trained with a perceptual GAN objective for high-fidelity bioimage restoration, achieving best LPIPS on 7 of 8 AI4Life benchmarks.

An all-in-one foundation model for microscopic image restoration, unifying 8 tasks across 5 microscopy modalities and 2D/3D data, with zero-shot inference on unseen imaging systems.

A Mamba-based dual-branch UNet that enhances cryo-EM and cryo-ET density maps using local resolution-guided learning to improve interpretability.

Generalist cell segmentation framework with a super-generalist cyto3 model and one-click image restoration networks optimized for downstream segmentation quality.

A differentiable wave-optical framework for label-agnostic computational microscopy of biomolecular density and orientation across diverse imaging modalities.

A tissue-aware foundation model that enhances brain MRI quality across motion correction, super-resolution, denoising and harmonization, boosting downstream segmentation, registration and diagnosis.

A unified diffusion model enabling bidirectional transformation between protein amino acid sequences and fluorescence microscopy images for subcellular localization prediction.

A universal ultrasound foundation model pretrained on 2M+ multi-organ images via spatial-frequency masked image modeling, enabling label-efficient segmentation, classification, and enhancement.

Foundation model for fluorescence microscopy image restoration, unifying super-resolution, denoising, isotropic reconstruction, projection, and volumetric reconstruction in one Swin transformer.

3D convolutional neural network that predicts fluorescent labels of subcellular structures from transmitted-light microscopy images, enabling label-free imaging of living cells.