Multi-modal Image Fusion on MRI-CT (test) benchmark leaderboard · SOTA2 Research

Multi-modal Image Fusion on MRI-CT (test)

6.78ENRPFNet

Evaluation Results

Method	Links
RPFNet2026.02		6.78	18.1	4.57	0.37	1.8	0.45	1.04	10.29	—
FISCNet2026.02		6.56	33.49	8.54	0.5	1.9	0.53	1.28	3.86	—
TarDAL2026.02		5.79	22.72	7.45	0.23	1.49	0.28	0.44	11.14	—
CDDFuse2026.02		5.733	—	—	0.526	3.683	0.53	—	—	1.224
UMF-CMGR2026.02		5.56	34.27	7.4	0.32	1.78	0.38	0.39	9.29	—
AdaFuse2026.02		5.42	18.92	4.74	0.41	2.26	0.33	0.94	9.71	—
IRFS2026.02		5.15	26.93	6.53	0.41	1.97	0.52	1.45	5.86	—
SwinFusion2026.02		5.144	—	—	0.522	3.19	0.545	—	—	0.579
DATFuse2026.02		5.05	27.61	6.29	0.46	2.09	0.48	1.2	5.86	—
Hybrid Fusion2026.02		4.988	—	—	0.701	2.727	0.622	—	—	1.007
Hybrid Fusion2026.02		4.973	—	—	0.807	2.974	0.561	—	—	0.969
LRRNet2026.02		4.9	20.2	4.8	0.37	1.86	0.33	0.18	12.29	—
U2Fusion2026.02		4.896	—	—	0.074	1.694	0.489	—	—	0.042
EMFusion2026.02		4.785	—	—	0.552	3.116	0.475	—	—	1.266
PSLPT2026.02		4.73	—	—	0.502	2.392	0.432	—	—	0.81
U2Fusion2026.02		4.69	20.05	5.74	0.34	1.66	0.4	0.55	11.29	—
DeFusion2026.02		4.67	19.76	5.09	0.42	1.94	0.37	1.07	9.57	—
ISFM2026.02		4.61	33.1	7.51	0.53	2.02	0.54	1.72	4.14	—
MMDRFuse2026.02		4.58	35.11	6.02	0.39	2.01	0.37	1.25	7.57	—
SFCFusion2026.02		4.49	37.86	6.48	0.29	2.16	0.34	0.7	9.14	—
DTPF2026.02		4.462	—	—	0.641	3.246	0.657	—	—	1.313
ReCoNet2026.02		4.42	21.45	5.71	0.42	1.91	0.4	1.11	9.14	—
Zero2026.02		4.406	—	—	0.32	3.358	0.582	—	—	1.199
FusionMamba2026.02		4.4	34.8	7.67	0.5	1.99	0.52	1.57	4.86	—
Text-IF2026.02		4.356	—	—	0.542	3.211	0.561	—	—	1.313
DDFM2026.02		4.31	19.64	4.81	0.4	2.18	0.37	1.03	10.57	—
Hybrid Fusion2026.02		4.29	—	—	0.7	2.94	0.664	—	—	1.325
MSRPAN2026.02		4.202	—	—	0.436	4.126	0.455	—	—	1.261
Med as Fused2026.02		3.22	—	—	1.025	4.017	0.528	—	—	1.39
MRI as Fused2026.02		2.559	—	—	1.027	3.356	0.543	—	—	1.39