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eigenvivek
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xvr

Image-to-Image
PyTorch
medical-imaging
registration
3d-registration
x-ray
ct
mri
Model card Files
xet
 Community
1

Improve model card and add metadata

#1
by nielsr HF Staff - opened
base: refs/heads/main
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from: refs/pr/1
Discussion Files changed
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Files changed (50) hide show
  1. README.md +45 -3
  2. deepfluoro/de_novo/subject05.pth +0 -3
  3. deepfluoro/de_novo/subject06.pth +0 -3
  4. deepfluoro/finetuned/subject01.pth +0 -3
  5. deepfluoro/finetuned/subject02.pth +0 -3
  6. deepfluoro/finetuned/subject03.pth +0 -3
  7. deepfluoro/finetuned/subject04.pth +0 -3
  8. deepfluoro/finetuned/subject05.pth +0 -3
  9. deepfluoro/finetuned/subject06.pth +0 -3
  10. femur/de_novo/subject01.pth +0 -3
  11. femur/de_novo/subject02.pth +0 -3
  12. femur/de_novo/subject03.pth +0 -3
  13. femur/de_novo/subject04.pth +0 -3
  14. femur/de_novo/subject05.pth +0 -3
  15. femur/finetuned/subject01.pth +0 -3
  16. femur/finetuned/subject02.pth +0 -3
  17. femur/finetuned/subject03.pth +0 -3
  18. femur/finetuned/subject04.pth +0 -3
  19. femur/finetuned/subject05.pth +0 -3
  20. ljubljana/de_novo/subject01.pth +0 -3
  21. ljubljana/de_novo/subject02.pth +0 -3
  22. ljubljana/de_novo/subject03.pth +0 -3
  23. ljubljana/de_novo/subject04.pth +0 -3
  24. ljubljana/de_novo/subject05.pth +0 -3
  25. ljubljana/de_novo/subject06.pth +0 -3
  26. ljubljana/de_novo/subject07.pth +0 -3
  27. ljubljana/de_novo/subject08.pth +0 -3
  28. ljubljana/de_novo/subject09.pth +0 -3
  29. ljubljana/de_novo/subject10.pth +0 -3
  30. ljubljana/finetuned/subject01.pth +0 -3
  31. ljubljana/finetuned/subject02.pth +0 -3
  32. ljubljana/finetuned/subject03.pth +0 -3
  33. ljubljana/finetuned/subject04.pth +0 -3
  34. ljubljana/finetuned/subject05.pth +0 -3
  35. ljubljana/finetuned/subject06.pth +0 -3
  36. ljubljana/finetuned/subject07.pth +0 -3
  37. ljubljana/finetuned/subject08.pth +0 -3
  38. ljubljana/finetuned/subject09.pth +0 -3
  39. ljubljana/finetuned/subject10.pth +0 -3
  40. deepfluoro/de_novo/subject01.pth → pelvis/finetuned/deepfluoro01.pth +2 -2
  41. deepfluoro/de_novo/subject02.pth → pelvis/finetuned/deepfluoro02.pth +2 -2
  42. deepfluoro/de_novo/subject03.pth → pelvis/finetuned/deepfluoro03.pth +2 -2
  43. deepfluoro/de_novo/subject04.pth → pelvis/finetuned/deepfluoro04.pth +2 -2
  44. pelvis/finetuned/deepfluoro05.pth +3 -0
  45. pelvis/finetuned/deepfluoro06.pth +3 -0
  46. {wbct → pelvis/patient_agnostic}/model.pth +2 -2
  47. pelvis/patient_specific/deepfluoro01.pth +3 -0
  48. pelvis/patient_specific/deepfluoro02.pth +3 -0
  49. pelvis/patient_specific/deepfluoro03.pth +3 -0
  50. pelvis/patient_specific/deepfluoro04.pth +3 -0
README.md CHANGED
@@ -13,7 +13,6 @@ tags:
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  # `xvr`: X-ray to Volume Registration
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- [![Paper shield](https://img.shields.io/badge/arXiv-2503.16309-red.svg)](https://arxiv.org/abs/2503.16309)
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  [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
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  <a href="https://colab.research.google.com/drive/1K9lBPxcLh55mr8o50Y7aHkjzjEWKPCrM?usp=sharing"><img alt="Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a>
19
  <a href="https://huggingface.co/eigenvivek/xvr/tree/main" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-ffc107?color=ffc107&logoColor=white"/></a>
@@ -40,6 +39,49 @@ tags:
40
 
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  ## Installation and Usage
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- This repository contains pretrained pose regression models to be run on public benchmarks datasets (reformatted into DICOM/NIfTI format) available [here](https://huggingface.co/datasets/eigenvivek/xvr-data/tree/main).
44
 
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- It also contains a foundation pose regression model (`wbct/model.pth`) intended to be quickly finetuned on new scans. Please refer to the [GitHub repository](https://github.com/eigenvivek/xvr) for detailed installation instructions, usage examples, and documentation on training, finetuning, and registration.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # `xvr`: X-ray to Volume Registration
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  [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
17
  <a href="https://colab.research.google.com/drive/1K9lBPxcLh55mr8o50Y7aHkjzjEWKPCrM?usp=sharing"><img alt="Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a>
18
  <a href="https://huggingface.co/eigenvivek/xvr/tree/main" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-ffc107?color=ffc107&logoColor=white"/></a>
 
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  ## Installation and Usage
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+ Refer to the [GitHub repository](https://github.com/eigenvivek/xvr) for detailed installation instructions, usage examples, and documentation on training, finetuning, and registration.
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+
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+ ## Experiments
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+
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+ #### Models
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+
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+ Pretrained models are available [here](https://huggingface.co/eigenvivek/xvr/tree/main).
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+
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+ #### Data
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+
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+ Benchmarks datasets, reformatted into DICOM/NIfTI files, are available [here](https://huggingface.co/datasets/eigenvivek/xvr-data/tree/main).
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+
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+ If you use the [`DeepFluoro`](https://github.com/rg2/DeepFluoroLabeling-IPCAI2020) dataset, please cite:
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+
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+ @article{grupp2020automatic,
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+ title={Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration},
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+ author={Grupp, Robert B and Unberath, Mathias and Gao, Cong and Hegeman, Rachel A and Murphy, Ryan J and Alexander, Clayton P and Otake, Yoshito and McArthur, Benjamin A and Armand, Mehran and Taylor, Russell H},
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+ journal={International journal of computer assisted radiology and surgery},
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+ volume={15},
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+ pages={759--769},
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+ year={2020},
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+ publisher={Springer}
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+ }
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+
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+ If you use the [`Ljubljana`](https://lit.fe.uni-lj.si/en/research/resources/3D-2D-GS-CA/) dataset, please cite:
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+
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+ @article{pernus20133d,
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+ title={3D-2D registration of cerebral angiograms: A method and evaluation on clinical images},
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+ author={Mitrović, Uros˘ and S˘piclin, Z˘iga and Likar, Bos˘tjan and Pernus˘, Franjo},
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+ journal={IEEE transactions on medical imaging},
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+ volume={32},
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+ number={8},
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+ pages={1550--1563},
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+ year={2013},
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+ publisher={IEEE}
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+ }
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+
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+
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+ #### Logging
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+
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+ We use `wandb` to log experiments. To use this feature, set the `WANDB_API_KEY` environment variable by adding the following line to your `.zshrc` or `.bashrc` file:
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+
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+ ```zsh
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+ export WANDB_API_KEY=your_api_key
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+ ```
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