All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
Cryo-ET particle picking model that averages tiny, medium, and large 3D U-Nets pretrained on simulated tomograms and fine-tuned on experimental data.
Imaging86OpennessMonjuDetectHM
211—Cryo-ET particle picking ensemble of three 3D segmentation models predicting particle-center heatmaps with ResNet50d and EfficientNetV2-M backbones.
Imaging95OpennessTopCUP
3——Cryo-ET particle picking model, an ensemble of 3D U-Nets with EfficientNet encoders that finds protein complexes in tomograms by heatmap segmentation.
Imaging96OpennessBPD
2——Cryo-ET particle picking model that localizes six protein complexes in tomograms using an ensemble of lightweight 3D U-Nets.
Imaging67OpennessCryoLens
19——Variational autoencoder that learns interpretable representations of protein subtomograms from cryo-ET, trained on 5.8 million synthetic particles.
Imaging74OpennessOctopi
13——Cryo-ET particle picking model that localizes and classifies multiple protein complexes in a tomogram with a single 3D U-Net forward pass.
Imaging81Openness