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MR-linac cine target motion

0 datasets, 0 test cases. A method is ranked here when it has a result on every case of every one of them.

Read before comparing

  • Ranked apart: one small target per pair, the pair chosen on the truth as the widest motion, and a pool restricted to targets that move.
  • 1 dataset of this kind is shown below and not ranked on the official board: its licence does not allow a public leaderboard. The research board (Research, above the ranking) ranks it too.

Ranking OfficialResearch

No method has a complete result on any dataset here yet.

1 place in that table, 1 is best2/10 cases done, not ranked yetn/a does not apply not run some cases failed

Under each dataset, the method's place in that dataset's table: 1 is best, the darker the better. The mean rank averages its places over the datasets.

The scores, dataset by dataset

Each score is followed by its change against no registration: green when the method did better, red when it did worse.

TrackRAD2025, two frames of a sagittal cine MR sequence

19 pairs · ordered on Dice and SDlogJ research only
#MethodDiceChangeSDlogJ
1Demons0.773+0.2380.051
2greedy0.744+0.2090.083
3ANTs SyN0.726+0.1910.083
4NiftyReg0.711+0.1760.060
4vismatch matchers · ALIKED + LightGlue0.629+0.0940.025
6vismatch matchers · DISK + LightGlue0.624+0.0890.009
7vismatch matchers · SIFT + LightGlue0.616+0.0810.008
8vismatch matchers · RoMa0.581+0.0460.006
9vismatch matchers · XFeat0.561+0.0260.006
10vismatch matchers · LoFTR0.546+0.0120.002
No registration0.5350.000