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Probe translation dimension estimation on Echocardiography ten standard planes

5.94MAE Plane 1 (mm)EchoCLIP+ours
5.82766.58637.3458.1037Oct 8, 2025

Evaluation results

MethodLinks
EchoCLIP+oursTemporal context=Sequential, Pre-training data source=ultrasound, Trained Params=2.61M2025.105.945.556.035.174.996.94.774.875.114.635.4
USFM+oursTemporal context=Sequential, Pre-training data source=ultrasound, Trained Params=3.97M2025.106.045.45.45.25.016.724.945.135.074.65.35
BiomedCLIP+oursTemporal context=Sequential, Pre-training data source=ultrasound, Trained Params=3.94M2025.106.125.786.285.255.186.655.034.975.34.945.55
EchoCLIPTemporal context=Sequential, Pre-training data source=ultrasound, Trained Params=88.41M2025.106.316.036.485.765.767.317.037.056.966.956.56
USFMTemporal context=Sequential, Pre-training data source=ultrasound, Trained Params=87.04M2025.106.486.346.846.055.937.728.078.168.057.867.15
Decision-TTemporal context=Sequential, Pre-training data source=ImageNet, Trained Params=22.27M, Pre-trained encoder=DeiT2025.106.697.68.466.716.817.877.017.067.927.677.38
US-GuideNetTemporal context=Sequential, Pre-training data source=ImageNet, Trained Params=22.05M, Pre-trained encoder=DeiT2025.106.817.598.636.77.058.097.287.288.057.847.53
BiomedCLIPTemporal context=Sequential, Pre-training data source=ultrasound, Trained Params=86.15M2025.106.876.677.266.326.318.097.777.877.957.837.29
US-IJEPATemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=22.59M2025.108.287.828.367.747.748.848.468.559.018.678.35
EchoCLIPTemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=89.74M2025.108.297.788.457.537.69.178.168.228.588.358.21
DINOv2Temporal context=Single-frame, Pre-training data source=ImageNet, Trained Params=90.28M2025.108.317.828.367.77.669.098.48.528.78.628.22
US-MAETemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=22.60M2025.108.317.748.37.697.79.028.358.478.558.458.26
USFMTemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=92.94M2025.108.347.748.287.627.699.028.28.338.518.398.26
BiomedCLIPTemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=89.50M2025.108.47.898.447.797.789.168.628.738.888.758.44
DeiTTemporal context=Single-frame, Pre-training data source=ImageNet, Trained Params=22.60M2025.108.58.098.517.97.859.218.438.558.78.528.43
LVM-MedTemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=89.44M2025.108.5588.427.957.899.318.78.889.078.88.56
US-MoCoTemporal context=Single-frame, Pre-training data source=ultrasound, Trained Params=22.60M2025.108.758.088.297.957.99.228.558.788.888.748.51