Furen Xiao e8dfe0fe35 feat(registration): align CT to T1c and add benchmarking ... Update M6 manifest building to register T1c to CT with rigid Mattes MI on a CT-space head box, including multi-start initial tilts for large inter-session head motion. The inverse transform warps CT and GTV into T1c native space, with acceptance based on concentricity of the warped CT skull ring and MR head silhouette. Rerun preprocessing when a row has a label but the warped label file is missing. Normalize volume orientation in read_nii_img. Add registration benchmark documentation, benchmark script, and shared registration pipeline helpers.		2026-09-28 16:20:30 +08:00
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common.py	feat(registration): align CT to T1c and add benchmarking	2026-09-28 16:20:30 +08:00
dataset.py	feat(train): implement checkpointing and robust data loading	2026-09-26 03:44:12 +08:00
losses.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
registration_pipelines.py	feat(registration): align CT to T1c and add benchmarking	2026-09-28 16:20:30 +08:00
training.py	feat(train): implement checkpointing and robust data loading	2026-09-26 03:44:12 +08:00
unet3d.py	feat: initial project structure	2026-09-25 16:00:37 +08:00