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README.md CHANGED
@@ -2,53 +2,37 @@
2
  license: cc-by-nc-nd-4.0
3
  task_categories:
4
  - image-to-image
5
- pretty_name: xvr datasets
6
  ---
7
 
8
- **⚠️ IF YOU USE THESE DATASETS, PLEASE CITE THE ORIGINAL PAPERS AND RESPECT THEIR ORIGINAL LICENSES. ⚠️**
9
 
10
- `xvr-data` contains DICOM/NIfTI versions of the `DeepFluoro`, `Femur`, and `Ljubljana` datasets.
11
-
12
- - Paper: [Rapid patient-specific neural networks for intraoperative X-ray to volume registration](https://huggingface.co/papers/2503.16309)
13
- - Code: https://github.com/eigenvivek/xvr
14
 
15
 
16
  ## Citation
17
 
18
- If you use the [`DeepFluoro`](https://github.com/rg2/DeepFluoroLabeling-IPCAI2020) dataset (CC BY-NC 4.0), please cite:
19
-
20
- @article{grupp2020automatic,
21
- title={Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration},
22
- 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},
23
- journal={International Journal of Computer Assisted Radiology and Surgery},
24
- volume={15},
25
- pages={759--769},
26
- year={2020},
27
- publisher={Springer}
28
- }
29
-
30
- If you use the [`Femur`](https://rflepp.github.io/BoneSubstructureContours2D3DRegistration/) dataset (CC BY-NC-ND 4.0; remixed version hosted with permission from original authors), please cite:
31
-
32
- @article{flepp2025automatic,
33
- title={Automatic multi-view X-ray/CT registration using bone substructure contours},
34
- author={Flepp, Roman and Nissen, Leon and Sigrist, Bastian and Nieuwland, Arend and Cavalcanti, Nicola and F{\"u}rnstahl, Philipp and Dreher, Thomas and Calvet, Lilian},
35
- journal={International Journal of Computer Assisted Radiology and Surgery},
36
- volume={20},
37
- number={7},
38
- pages={1401--1408},
39
- year={2025},
40
- publisher={Springer}
41
  }
42
 
43
- If you use the [`Ljubljana`](https://lit.fe.uni-lj.si/en/research/resources/3D-2D-GS-CA/) dataset (CC BY-NC-ND 4.0; remixed version hosted with permission from original authors), please cite:
44
-
45
- @article{pernus20133d,
46
- title={3D-2D registration of cerebral angiograms: A method and evaluation on clinical images},
47
- author={Mitrović, Uroš and Špiclin, Žiga and Likar, Boštjan and Pernuš, Franjo},
48
- journal={IEEE Transactions on Medical Imaging},
49
- volume={32},
50
- number={8},
51
- pages={1550--1563},
52
- year={2013},
53
- publisher={IEEE}
54
- }
 
2
  license: cc-by-nc-nd-4.0
3
  task_categories:
4
  - image-to-image
 
5
  ---
6
 
7
+ `xvr-data` contains DICOM/NIfTI versions of the `DeepFluoro` and `Ljubljana` datasets.
8
 
9
+ Paper: [Rapid patient-specific neural networks for intraoperative X-ray to volume registration](https://huggingface.co/papers/2503.16309)
10
+ Code: https://github.com/eigenvivek/xvr
 
 
11
 
12
 
13
  ## Citation
14
 
15
+ If you use either of these datasets, please cite the original papers.
16
+
17
+ ```bibtex
18
+ @article{grupp2020automatic,
19
+ title={Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration},
20
+ 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},
21
+ journal={International journal of computer assisted radiology and surgery},
22
+ volume={15},
23
+ pages={759--769},
24
+ year={2020},
25
+ publisher={Springer}
 
 
 
 
 
 
 
 
 
 
 
 
26
  }
27
 
28
+ @article{pernus20133d,
29
+ title={3D-2D registration of cerebral angiograms: A method and evaluation on clinical images},
30
+ author={Mitrović, Uros˘ and S˘piclin, Z˘iga and Likar, Bos˘tjan and Pernus˘, Franjo},
31
+ journal={IEEE transactions on medical imaging},
32
+ volume={32},
33
+ number={8},
34
+ pages={1550--1563},
35
+ year={2013},
36
+ publisher={IEEE}
37
+ }
38
+ ```
 
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- ## `segmentations_multichannel/`
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