| [ |
| { |
| "file": "c3d_pretrained.pt", |
| "arch": "c3d", |
| "anatomy": "source-domain", |
| "regime": "pretrained", |
| "in_channels": 8, |
| "channel_spec": "source_8ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.1, |
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| "sha256": "b215969e57733cc6699d17a9d23f20dde8411971f2662fd114c66ee0c25befef", |
| "note": "Source-domain model trained on the public 8-channel dose dataset. Starting point for c3d_finetuned.pt and pancreas_c3d_finetuned.pt." |
| }, |
| { |
| "file": "c3d_finetuned.pt", |
| "arch": "c3d", |
| "anatomy": "han", |
| "regime": "finetuned", |
| "in_channels": 5, |
| "channel_spec": "han_5ch", |
| "scale_out": 7.5, |
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| "source": "Output/C3D/Finetune_v2/best_val_evaluation_index.pkl", |
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| "sha256": "73679f45b10104d96b8a28f90024f3f92be9a40e8bc733fa02e18d31825f43be", |
| "note": "Fine-tuned from c3d_pretrained.pt on head-and-neck data; Adam lr 3e-5, cosine schedule, 275 epochs." |
| }, |
| { |
| "file": "c3d_fromscratch.pt", |
| "arch": "c3d", |
| "anatomy": "han", |
| "regime": "fromscratch", |
| "in_channels": 5, |
| "channel_spec": "han_5ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.1, |
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| "sha256": "7e7df38af255dcb9b8621b058f1265a1c6946c32c51edf501e4c0b628e94208e", |
| "note": "Same architecture and schedule trained from random init; Adam lr 1e-4. The no-transfer baseline." |
| }, |
| { |
| "file": "mednext_pretrained.pt", |
| "arch": "mednext", |
| "anatomy": "source-domain", |
| "regime": "pretrained", |
| "in_channels": 8, |
| "channel_spec": "source_8ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 10526498, |
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| "source": "Pretrained/MedNeXt/best_val.pth", |
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| "sha256": "75c971ae3a35e14fa6e1667b829f367f07b5d8c57404871d62610c38c86f1b70", |
| "note": "Source-domain MedNeXt-B trained on the public 8-channel dose dataset." |
| }, |
| { |
| "file": "mednext_finetuned.pt", |
| "arch": "mednext", |
| "anatomy": "han", |
| "regime": "finetuned", |
| "in_channels": 5, |
| "channel_spec": "han_5ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 10526402, |
| "num_tensors": 229, |
| "size_bytes": 42177794, |
| "source": "Output/MedNeXt/Finetune/best_val_evaluation_index.pkl", |
| "source_size_bytes": 168792326, |
| "sha256": "f397b9bc4ec257f07b798f55adf8143085fc3f236dccc2a043de084c9260694e", |
| "note": "Fine-tuned from mednext_pretrained.pt on head-and-neck data." |
| }, |
| { |
| "file": "mednext_fromscratch.pt", |
| "arch": "mednext", |
| "anatomy": "han", |
| "regime": "fromscratch", |
| "in_channels": 5, |
| "channel_spec": "han_5ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 10526402, |
| "num_tensors": 229, |
| "size_bytes": 42178260, |
| "source": "Output/MedNeXt/FromScratch/best_val_evaluation_index.pkl", |
| "source_size_bytes": 168793926, |
| "sha256": "e1e041424d496e1241b56f9b73b79fde0bb5c473e4299db5bf34609904ab463c", |
| "note": "MedNeXt-B trained from random init. The no-transfer baseline." |
| }, |
| { |
| "file": "swinunetr_pretrained.pt", |
| "arch": "swinunetr", |
| "anatomy": "source-domain", |
| "regime": "pretrained", |
| "in_channels": 8, |
| "channel_spec": "source_8ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 291356139, |
| "num_tensors": 167, |
| "size_bytes": 1169245779, |
| "source": "Pretrained/SwinUNETR_L_128x128x160/best_val.pth", |
| "source_size_bytes": 1169258908, |
| "sha256": "edca3e20d8a6f1a00b4d3c6dfbf19e67c4f89b3fbd769c2ed9bae7ce51520160", |
| "note": "Source-domain SwinUNETR-L trained on the public 8-channel dose dataset." |
| }, |
| { |
| "file": "swinunetr_finetuned.pt", |
| "arch": "swinunetr", |
| "anatomy": "han", |
| "regime": "finetuned", |
| "in_channels": 5, |
| "channel_spec": "han_5ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 291345771, |
| "num_tensors": 167, |
| "size_bytes": 1169204072, |
| "source": "Output/SwinUNETR_L/Finetune/best_val_evaluation_index.pkl", |
| "source_size_bytes": 4654279265, |
| "sha256": "e92c795b3792094fa881a8f7a7ef4a03a411454f78026351ea38fe5b0632204e", |
| "note": "Fine-tuned from swinunetr_pretrained.pt on head-and-neck data." |
| }, |
| { |
| "file": "swinunetr_fromscratch.pt", |
| "arch": "swinunetr", |
| "anatomy": "han", |
| "regime": "fromscratch", |
| "in_channels": 5, |
| "channel_spec": "han_5ch", |
| "scale_out": 7.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 291345771, |
| "num_tensors": 167, |
| "size_bytes": 1169204414, |
| "source": "Output/SwinUNETR_L/FromScratch/best_val_evaluation_index.pkl", |
| "source_size_bytes": 4654274081, |
| "sha256": "6981fa28668ab6efc1f5450eea8921b2c6477803eff8582911c6e4ff8ec4881f", |
| "note": "SwinUNETR-L trained from random init. The no-transfer baseline." |
| }, |
| { |
| "file": "pancreas_c3d_pretrained.pt", |
| "arch": "c3d", |
| "anatomy": "source-domain", |
| "regime": "pretrained", |
| "in_channels": 8, |
| "channel_spec": "source_8ch", |
| "scale_out": 5.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 32353106, |
| "num_tensors": 172, |
| "size_bytes": 129471450, |
| "source": "Pretrained/C3D_128x128x160/best_val.pth", |
| "source_size_bytes": 129481303, |
| "sha256": "aa51c8851a2eb0f74b0e59c8a202e57ceee1013abb2274bf7b52e1a623b926f4", |
| "note": "Byte-identical weights to c3d_pretrained.pt; duplicated so the pancreas set is self-contained. Only scale_out differs (5.5 for pancreas)." |
| }, |
| { |
| "file": "pancreas_c3d_finetuned.pt", |
| "arch": "c3d", |
| "anatomy": "pancreas", |
| "regime": "finetuned", |
| "in_channels": 5, |
| "channel_spec": "pancreas_5ch", |
| "scale_out": 5.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 32349218, |
| "num_tensors": 172, |
| "size_bytes": 129455658, |
| "source": "Output/Pancreas/PancC3D/FineTune_v5/best_val_evaluation_index.pkl", |
| "source_size_bytes": 517882405, |
| "sha256": "36d4b7369e4221cf86e3c06947c98fa8e96d1d50381d362933a13ec0fdca777f", |
| "note": "Fine-tuned directly from the source-domain pretrained C3D onto pancreas VMAT data -- NOT from the head-and-neck model." |
| }, |
| { |
| "file": "pancreas_c3d_fromscratch.pt", |
| "arch": "c3d", |
| "anatomy": "pancreas", |
| "regime": "fromscratch", |
| "in_channels": 5, |
| "channel_spec": "pancreas_5ch", |
| "scale_out": 5.5, |
| "eval_clip_factor": 1.2, |
| "num_parameters": 32349218, |
| "num_tensors": 172, |
| "size_bytes": 129455946, |
| "source": "Output/Pancreas/PancC3D/FromScratch/best_val_evaluation_index.pkl", |
| "source_size_bytes": 517899237, |
| "sha256": "e80eb22116f022fb170094f5eae29529275838098fe2d0490f92d721f3a98436", |
| "note": "C3D trained from random init on pancreas VMAT data. The no-transfer baseline." |
| } |
| ] |
