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weillcornell: contributor hero figure and isotropic reconstruction grid

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Syncs with tristan-deep/OpenH-RF#47: hero.png and main.png from the contributors, pipeline grid 300x597 -> 600x301 (isotropic ~0.073 mm) so `zea process` keeps the physical aspect ratio.

weillcornell/README.md CHANGED
@@ -20,9 +20,9 @@ size_categories:
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  # Weill Cornell QUS Phantom Dataset
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- ![Reference zea reconstruction of ac10_15m_SK frame 0](assets/ac10_15m_SK_pipeline.png)
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- *B-mode of frame 0 of [`data/ac10_15m_SK.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/weillcornell/data/ac10_15m_SK.hdf5), reconstructed from the raw RF on the common 597 x 300 grid (approximately 3-25 mm depth).*
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  ## Dataset Description
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@@ -106,7 +106,7 @@ No human or animal subjects. `metadata/subject/type` is `phantom` and `metadata/
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  ## Data Validation
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- A `zea.Pipeline` (cast → demodulate → DAS beamforming → envelope detection → normalization → log compression) is defined in `pipeline.yaml`, on a common 597 x 300 grid for every acquisition. Its output for frame 0 of `ac10_15m_SK` is shown at the top of this card. Raw RF and the embedded maps were checked for shape, dtype, finite values, coordinates, labels, min/max, and the frame-broadcast behavior described above.
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  ## Known Issues
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@@ -119,3 +119,4 @@ A `zea.Pipeline` (cast → demodulate → DAS beamforming → envelope detection
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  ## Ethical Considerations
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  Phantom-only data; no human or animal subjects, clinical metadata, or PHI. The contributors confirm that these phantom data are cleared for release under CC BY 4.0.
 
 
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  # Weill Cornell QUS Phantom Dataset
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+ ![Weill Cornell QUS phantom dataset: B-mode, pooled Nakagami maps, and theoretical BSC curves](assets/hero.png)
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+ *B-mode (frame 0) and 20-frame pooled Nakagami maps from [`data/ac10_15m_SK.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/weillcornell/data/ac10_15m_SK.hdf5). The BSC curves are material-model references for the three phantoms; pooled Nakagami maps are statistical references.*
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  ## Dataset Description
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  ## Data Validation
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+ A `zea.Pipeline` (cast → demodulate → DAS beamforming → envelope detection → normalization → log compression) is defined in `pipeline.yaml`, on a common 301 x 600 grid (isotropic ~0.073 mm pixels) for every acquisition. Its output for frame 0 of `ac10_15m_SK` is shown at the top of this card. Raw RF and the embedded maps were checked for shape, dtype, finite values, coordinates, labels, min/max, and the frame-broadcast behavior described above.
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  ## Known Issues
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  ## Ethical Considerations
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  Phantom-only data; no human or animal subjects, clinical metadata, or PHI. The contributors confirm that these phantom data are cleared for release under CC BY 4.0.
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+
weillcornell/assets/ac10_15m_SK_pipeline.png CHANGED

Git LFS Details

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Git LFS Details

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weillcornell/assets/hero.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
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weillcornell/assets/main.png ADDED

Git LFS Details

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  • Pointer size: 132 Bytes
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weillcornell/pipeline.yaml CHANGED
@@ -13,8 +13,8 @@ pipeline:
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  - 1.0
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  - log_compress
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  parameters:
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- grid_size_x: 300
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- grid_size_z: 597
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  xlims:
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  - -0.021965
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  - 0.021965
 
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  - 1.0
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  - log_compress
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  parameters:
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+ grid_size_x: 600
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+ grid_size_z: 301
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  xlims:
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  - -0.021965
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  - 0.021965