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@@ -41,7 +41,7 @@ Input to model is 5D tensor [B, C, T/F, H, W] for batch, channel, time/frame, he
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/microsoft/SNRAware
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- - **Paper [optional]:** https://pubs.rsna.org/doi/10.1148/ryai.250227
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  ## Uses
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@@ -96,7 +96,7 @@ Please refer to the publication for training details.
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  - **Training regime:** fp32 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/microsoft/SNRAware
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+ - **Paper:** https://pubs.rsna.org/doi/10.1148/ryai.250227
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  ## Uses
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  - **Training regime:** fp32 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ #### Speeds, Sizes, Times
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  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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