All Competitors

Generative microscopy foundation model that synthesizes in-silico fluorescence images of protein subcellular localization from amino-acid sequence.

Diffusion transformer for virtual tissue synthesis, generating H&E histopathology patches conditioned on spatial gene expression and morphology.

Diffusion-transformer pathology model embedding H&E histology, RNA profiles, and clinical text in a latent space for zero-shot cross-modal synthesis.

Brain MRI synthesis in 3D across T1w, T2w, FLAIR and SWI, whole-brain or skull-stripped, at up to 512x512x256 voxels in 30 sampling steps.

Synthetic 3D MRI generation spanning brain, prostate, breast and abdomen, with the T1, T2 or FLAIR contrast selected at sampling time.

Modality-agnostic foundation model for human brain imaging that runs five core neuroimaging tasks across uncalibrated CT and MRI without retraining.

Histopathology image synthesis from a latent diffusion model conditioned jointly on unpaired diagnostic text reports and cell-type masks.

Generative histopathology foundation model: a diffusion transformer trained on 30M H&E tiles, conditioned on self-supervised slide embeddings.

Patch-based 3D diffusion model that generates teravoxel-scale virtual mouse brain volumes conditioned on spatially resolved gene expression.

3D CT image synthesis with paired anatomical masks, driven by a rectified-flow latent diffusion model that samples a whole volume in 30 steps.

Semantic layout-guided 3D diffusion model that synthesizes thoracic CT volumes from a lung and nodule mask to expand lung cancer screening data.

Conditional diffusion model with cross-attention that synthesizes subject-specific 3D intrinsic connectivity networks from resting-state fMRI.

Multi-scale latent diffusion model for histopathology that synthesizes tissue patches at any magnification and composes them into 4096-pixel images.

Histopathology image synthesis steered by a hand-drawn coarse tissue mask, refined into a fine-grained semantic mask before H&E or IHC rendering.

Conditional denoising diffusion model that synthesizes chest radiographs from patient demographics and echocardiographic ventricular measurements.

Text-guided MRI synthesis model that generates brain MR sequences and resolutions on demand from routine scans using imaging-metadata prompts.

3D latent diffusion model for synthetic CT, generating volumes up to 512x512x768 voxels with paired masks across 127 anatomical structures.

Histopathology semantic masks generated de novo from noise, then rendered as photorealistic H&E or PD-L1 patches by a paired image-translation GAN.