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MRIxFields2026-Baseline

Image-to-Image
PyTorch
medical-imaging
mri
image-translation
cut
cyclegan
stargan-v2
mrixfields
baseline
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  1. LICENSE +21 -0
  2. README.md +97 -0
  3. task1_0.1T_to_7T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  4. task1_0.1T_to_7T_T1W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  12. task1_1.5T_to_7T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  13. task1_1.5T_to_7T_T2W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  14. task1_3T_to_7T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  15. task1_3T_to_7T_T1W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  16. task1_3T_to_7T_T2FLAIR/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  17. task1_3T_to_7T_T2FLAIR/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  18. task1_3T_to_7T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  20. task1_5T_to_7T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  22. task1_5T_to_7T_T2FLAIR/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  23. task1_5T_to_7T_T2FLAIR/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  24. task1_5T_to_7T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  25. task1_5T_to_7T_T2W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  28. task2_0.1T_to_1.5T_T2FLAIR/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  29. task2_0.1T_to_1.5T_T2FLAIR/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  30. task2_0.1T_to_1.5T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  31. task2_0.1T_to_1.5T_T2W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  32. task2_0.1T_to_3T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  33. task2_0.1T_to_3T_T1W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  34. task2_0.1T_to_3T_T2FLAIR/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  35. task2_0.1T_to_3T_T2FLAIR/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  36. task2_0.1T_to_3T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  38. task2_0.1T_to_5T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  39. task2_0.1T_to_5T_T1W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  40. task2_0.1T_to_5T_T2FLAIR/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  41. task2_0.1T_to_5T_T2FLAIR/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  42. task2_0.1T_to_5T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  44. task2_0.1T_to_7T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
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  48. task2_0.1T_to_7T_T2W/cut/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  49. task2_0.1T_to_7T_T2W/cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth +3 -0
  50. task3_any_to_any_multimodal/stargan_v2/pro_pretrained/weights/checkpoint_epoch50.pth +3 -0
LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2026 MRIxFields
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - medical-imaging
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+ - mri
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+ - image-translation
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+ - cut
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+ - cyclegan
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+ - stargan-v2
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+ - mrixfields
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+ - baseline
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+ pipeline_tag: image-to-image
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+ library_name: pytorch
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+ ---
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+
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+ # MRIxFields2026 Baseline Checkpoints
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+
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+ Pre-trained baseline checkpoints for the [MRIxFields 2026](https://mrixfields.chihucloud.com/2026/) challenge (MICCAI 2026): cross-field brain MRI translation.
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+
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+ > Currently private. Released under [MIT](LICENSE).
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+
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+ ## Tasks
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+
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+ | Task | Goal | Input | Output |
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+ |------|------|-------|--------|
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+ | **Task 1** | Ultra-high field synthesis | 0.1T / 1.5T / 3T / 5T | 7T |
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+ | **Task 2** | Low-field enhancement | 0.1T | 1.5T / 3T / 5T / 7T |
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+ | **Task 3** | Any-to-any translation (single unified model) | Any field | Any field |
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+
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+ ## Methods
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+
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+ | Method | Paper | Tasks | # sub-tasks |
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+ |--------|-------|-------|-------------|
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+ | **CUT** | Park et al., ECCV 2020 | 1, 2 | 24 |
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+ | **CycleGAN** | Zhu et al., ICCV 2017 | 1, 2 | 24 |
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+ | **StarGAN v2** | Choi et al., CVPR 2020 | 3 | 1 |
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+
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+ Total: **49** checkpoints (one per sub-task × method), **~7 GB**.
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+
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+ ## Training
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+
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+ All checkpoints are from the recommended `pro_pretrained` setting: **unpaired pretrain on the retrospective split + paired fine-tune on the prospective split**. This is the strongest baseline; ablation modes (`pro_scratch`, `retro_scratch`) are kept for internal use and are not released.
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+
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+ ## Directory Layout
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+
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+ ```
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+ .
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+ ├── README.md
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+ ├── LICENSE
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+ ├── task1_<src>_to_7T_<modality>/
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+ │ ├── cut/pro_pretrained/weights/checkpoint_epoch100.pth
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+ │ └── cyclegan/pro_pretrained/weights/checkpoint_epoch100.pth
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+ ├── task2_0.1T_to_<tgt>_<modality>/
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+ │ └── (same as task1)
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+ └── task3_any_to_any_multimodal/
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+ └── stargan_v2/pro_pretrained/weights/checkpoint_epoch50.pth
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+ ```
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+
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+ > Training-time configs (`config_actual.yaml`) are intentionally not included. Use the config templates in the upstream Baseline repo and override the data paths for your own environment.
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+
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+ ## Download
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+
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+ snapshot_download(
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+ repo_id="mrixfields/MRIxFields2026-Baseline",
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+ repo_type="model",
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+ local_dir="./MRIxFields2026-Baseline",
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+ )
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+ ```
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+
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+ Single checkpoint:
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+
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+ hf_hub_download(
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+ repo_id="mrixfields/MRIxFields2026-Baseline",
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+ filename="task1_0.1T_to_7T_T1W/cut/pro_pretrained/weights/checkpoint_epoch100.pth",
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+ repo_type="model",
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+ )
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+ ```
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+
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+ ## Training & Inference
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+
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+ See the upstream Baseline code: [`MRIxFields2026/Baseline`](https://github.com/MRIxFields/MRIxFields2026/tree/main/Baseline).
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+
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+ ## License
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+
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+ MIT — see [LICENSE](LICENSE). Copyright © 2026 MRIxFields.
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+
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+ ## Links
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+
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+ - Challenge website: https://mrixfields.chihucloud.com/2026/
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+ - Dataset (Synapse): https://www.synapse.org/Synapse:syn72060672/datasets/
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+ - GitHub: https://github.com/MRIxFields/MRIxFields2026
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