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README.md
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# EHRXDiff
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Model card for our paper: [Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records](https://arxiv.org/abs/2409.07012).
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We provide two versions of the **EHRXDiff** model:
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* **EHRXDiff** – trained without the null-based augmentation technique
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* **EHRXDiff<sub>w_null</sub>** – trained with the null-based augmentation technique.
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This card describes the **EHRXDiff** model.
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For implementation details, please refer to the [EHRXDiff repository](https://github.com/dek924/EHRXDiff).
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---
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license: mit
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pipeline_tag: image-to-image
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tags:
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- pytorch
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- medical
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- image-generation
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- conditional-image-generation
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---
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# EHRXDiff
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Model card for our paper: [Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records](https://arxiv.org/abs/2409.07012).
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We provide two versions of the **EHRXDiff** model:
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* **EHRXDiff** – trained without the null-based augmentation technique
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* **EHRXDiff<sub>w_null</sub>** – trained with the null-based augmentation technique.
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This card describes the **EHRXDiff** model.
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For implementation details, please refer to the [EHRXDiff repository](https://github.com/dek924/EHRXDiff).
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