harsharajkumar273/ReCL-Ultrasound-Checkpoints
Updated
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values |
|---|
#C1 |
Mean contrast scores (dB): 7.90 |
Middle column targets |
8.40 |
7.40 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#C11 |
Mean contrast scores (dB): 11.00 |
Middle column targets |
11.00 |
11.00 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#C75 |
Mean contrast scores (dB): 11.80 |
Middle column targets |
12.40 |
11.20 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#BONUS-C3 |
Mean contrast scores (dB): 7.05 |
Middle column targets |
6.70 |
7.40 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#C1 |
Mean contrast scores (dB): 8.15 |
Middle column targets |
8.60 |
7.70 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#C11 |
Mean contrast scores (dB): 11.25 |
Middle column targets |
11.30 |
11.20 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#C75 |
Mean contrast scores (dB): 12.00 |
Middle column targets |
12.60 |
11.40 |
PENALITY: 0 |
Speckle quality (from Kolmogorov-Smirnov test) |
#END |
#BONUS-C3 |
Mean contrast scores (dB): 7.30 |
Middle column targets |
7.00 |
7.60 |
PENALITY: 0 |
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🩺 ReCL Ultrasound & EEG Datasets
Official datasets used in the training and evaluation of the paper "Respecting Physical Priors: Reconstructive Contrastive Learning for Signal-Domain Sim-to-Real Transfer" (NeurIPS 2026).
This repository contains aperture-domain ultrasound RF dataset files and denoising signal databases.
📂 Dataset Structure
data1(Vanderbilt Biomedical Elasticity and Acoustic Measurement Lab):- Contains simulated and experimental contrast speckle dataset IQ files (
contrast_speckle_expe_dataset_iq.hdf5).
- Contains simulated and experimental contrast speckle dataset IQ files (
data2(Carotid Cross-Section Database):- Contains carotid cross-sectional HDF5 RF datasets.
🔬 VU-BEAM Lab Reference
Developed at the Biomedical Elasticity and Acoustic Measurement Laboratory (VU-BEAM), Vanderbilt University.
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Models trained or fine-tuned on harsharajkumar273/ReCL-Ultrasound-Dataset