All Competitors

Cardiac SPECT attenuation correction that turns non-corrected myocardial perfusion scans into corrected images without any CT input at inference.

Sequence-conditioned generative framework that reconstructs missing prostate MRI contrasts and restores artefact-degraded acquisitions.

Single-molecule localisation microscopy analyser that infers interpretable structural descriptors and regenerates matched synthetic datasets.

Medical imaging foundation model unifying pathology and radiology, serving classification and segmentation on 2D, 3D and gigapixel inputs.

Brain MRI morphometry framework turning one T1w scan into 13 descriptors and a normative deviation profile shared across 19 clinical diagnoses.

Whole-transcriptome inference from label-free live-cell phase-contrast microscopy, predicting 18,085 genes without staining or lysing the cells.

Medical imaging vision-language model for chest X-ray, CT and MRI that generates reports, localizes lesions and compares studies over time.

Vision-language foundation model for coronary angiography that aligns six-view cine studies with procedural reports for zero-shot lesion assessment.

Non-contrast abdominal CT foundation model detecting 11 acute abdominal conditions and grading surgical severity for emergency department triage.

Medical language model compressed to ternary weights, running a 27B-class clinical and biomedical assistant offline from a single 8.48 GB file.

Electron microscopy foundation model segmenting mitochondria, ER, nuclei, and lipid droplets across tissues and species from one pretrained encoder.

Cryo-EM density enhancement for protein-ligand binding sites, sharpening weak ligand maps with a 3D Swin-Conv UNet trained on 6,511 complexes.

Endoscopy vision-language foundation model pretrained on 348K gastrointestinal examinations that pair routine clinical reports with image sets.

Diffusion super-resolution for H&E whole-slide images, steering denoising with SAM-derived structural anchors and adapted DINOv3 semantic control.

Whole-slide histopathology foundation model that fuses 10x, 20x, and 40x views by attending only between adjacent magnifications.

Panoptic segmentation for H&E histopathology, labeling tissue regions and cell nuclei in one pass so tissue context constrains each nuclear call.

Hierarchy-aware self-supervised model for single-cell microscopy that preserves morphological structure suppressed by imaging-modality confounders.

Brain MRI morphometry model that estimates cortical thickness, surface area, and volume in milliseconds instead of hours.

Atomic protein model building from cryo-EM density maps, resolving conformational heterogeneity through atom-centric sampling and diffusion.

Vision-guided model that builds virtual 3D organoid surrogates from brightfield microscopy to predict chemical perturbation responses without omics.

Self-supervised 3D masked autoencoder for volumetric fluorescence microscopy, aligned to ESM2 embeddings to predict protein localization.

Multimodal brain MRI foundation model pretrained on 1.55M T1w, T2w and FLAIR scans with a Mixture-of-Experts encoder and latent predictive objective.

Multi-sequence spine MRI foundation model with DINOv3 encoders, supporting condition classification, pathology localization, and report generation.