ReXGroundingCT Challenge @ MICCAI 2026 (Archive)

The challenge has concluded. This page archives every submission made during the challenge. The official final results are on the ReXGroundingCT leaderboard, which remains open for new submissions.

All Challenge Submissions

All 766 submissions made during the challenge, scored on the full 300-case held-out test set and ranked by mean Dice per case (click a metric's column header to rank by it instead). Entries marked Final are the 53 official final entries, one per team; the official final results are on the ReXGroundingCT leaderboard.

#	Model	Dice	Hit Rate	Instance Precision	Instance Recall	Instance F1
1	CIRCLE Final United Imaging Intelligence ShanghaiTech University Zhongshan Hospital 9/13/2026	0.375	0.768	0.272	0.457	0.341
2	CIRCLE United Imaging Intelligence ShanghaiTech University Zhongshan Hospital 9/14/2026	0.375	0.768	0.272	0.457	0.341
3	UShanghaitech United Imaging Intelligence ShanghaiTech University Zhongshan Hospital 9/7/2026	0.370	0.756	0.254	0.451	0.325
4	Grounder_1.4n Final Gachon University MEDAI 9/13/2026	0.365	0.763	0.280	0.443	0.343
5	Grounder_1.4m Gachon University MEDAI 9/13/2026	0.365	0.763	0.275	0.448	0.341
6	TAGS_TAP Netherlands Cancer Institute 9/9/2026	0.365	0.766	0.211	0.502	0.297
7	TAGS_TAP Netherlands Cancer Institute 9/9/2026	0.364	0.770	0.209	0.501	0.295
8	Grounder_1.4l Gachon University MEDAI 9/13/2026	0.364	0.763	0.280	0.443	0.343
9	Grounder_1.4j Gachon University MEDAI 9/13/2026	0.363	0.765	0.283	0.448	0.347
10	TAGS_TAP Netherlands Cancer Institute 9/10/2026	0.363	0.763	0.266	0.494	0.346
11	TAGS_TAP Netherlands Cancer Institute 9/10/2026	0.363	0.761	0.271	0.494	0.350
12	TAGS_TAP Netherlands Cancer Institute 9/11/2026	0.363	0.761	0.266	0.493	0.346
13	Grounder_1.4g Gachon University MEDAI 9/12/2026	0.363	0.766	0.283	0.449	0.347
14	TAGS_TAP Netherlands Cancer Institute 9/11/2026	0.363	0.761	0.264	0.489	0.342
15	TAGS_TAP Netherlands Cancer Institute 9/11/2026	0.363	0.763	0.262	0.493	0.342
16	TAGS_TAP Netherlands Cancer Institute 9/14/2026	0.362	0.766	0.257	0.488	0.337
17	TAGS_TAPv2 Netherlands Cancer Institute 9/14/2026	0.362	0.765	0.252	0.488	0.332
18	TAGS_TAP_th Netherlands Cancer Institute 9/14/2026	0.362	0.766	0.265	0.490	0.344
19	TAGS_TAP Netherlands Cancer Institute 9/12/2026	0.362	0.756	0.299	0.465	0.364
20	TAGS_TAP Netherlands Cancer Institute 9/8/2026	0.362	0.766	0.203	0.502	0.289
21	TAGS_TAPv3 Final Netherlands Cancer Institute 9/14/2026	0.362	0.765	0.254	0.487	0.334
22	TAGS_TAP Netherlands Cancer Institute 9/14/2026	0.362	0.763	0.267	0.490	0.346
23	Grounder_1.4e Gachon University MEDAI 9/12/2026	0.361	0.766	0.280	0.444	0.344
24	needpaper_v0.6_d Yonsei University NewcureM 9/14/2026	0.361	0.773	0.256	0.440	0.324
25	TAGS_TAP_th Netherlands Cancer Institute 9/14/2026	0.361	0.759	0.269	0.488	0.347
26	needpaper_v0.6_b Yonsei University NewcureM 9/14/2026	0.361	0.773	0.249	0.443	0.319
27	TAGS_TAP Netherlands Cancer Institute 9/8/2026	0.361	0.761	0.199	0.500	0.285
28	needpaper_v0.6_e Yonsei University NewcureM 9/14/2026	0.361	0.775	0.255	0.439	0.323
29	needpaper_v0.6_a Final Yonsei University NewcureM 9/14/2026	0.361	0.777	0.242	0.438	0.312
30	needpaper_v0.6_c Yonsei University NewcureM 9/14/2026	0.360	0.777	0.253	0.441	0.321
31	Grounder_1.4i Gachon University MEDAI 9/12/2026	0.360	0.751	0.288	0.432	0.345
32	Grounder_1.4h Gachon University MEDAI 9/12/2026	0.360	0.754	0.286	0.441	0.347
33	needpaper_v0.5_d Yonsei University NewcureM 9/14/2026	0.360	0.780	0.232	0.443	0.305
34	needpaper_v0.2_latout Yonsei University NewcureM 9/11/2026	0.359	0.773	0.234	0.433	0.304
35	needpaper_v0.2_lat Yonsei University NewcureM 9/9/2026	0.359	0.773	0.233	0.433	0.303
36	needpaper_v0.4_a2 Yonsei University NewcureM 9/13/2026	0.359	0.778	0.222	0.440	0.295
37	Grounder_1.4d Gachon University MEDAI 9/8/2026	0.359	0.761	0.266	0.439	0.331
38	needpaper_v0.4_a1 Yonsei University NewcureM 9/13/2026	0.359	0.778	0.227	0.440	0.300
39	Grounder_1.4c Gachon University MEDAI 9/4/2026	0.359	0.758	0.259	0.434	0.325
40	needpaper_v0.5_c Yonsei University NewcureM 9/14/2026	0.359	0.771	0.235	0.436	0.306
41	Grounder_1.4k Gachon University MEDAI 9/13/2026	0.358	0.751	0.269	0.436	0.332
42	needpaper_v0.4_b4 Yonsei University NewcureM 9/13/2026	0.358	0.775	0.238	0.435	0.308
43	needpaper_v0.4_b1 Yonsei University NewcureM 9/13/2026	0.358	0.771	0.237	0.431	0.306
44	needpaper_v0.4_a3 Yonsei University NewcureM 9/14/2026	0.358	0.770	0.229	0.439	0.301
45	needpaper_v0.2_avg Yonsei University NewcureM 9/8/2026	0.358	0.773	0.231	0.433	0.301
46	needpaper_v0.5_e Yonsei University NewcureM 9/14/2026	0.358	0.777	0.231	0.441	0.303
47	needpaper_v0.5_b Yonsei University NewcureM 9/14/2026	0.358	0.770	0.237	0.432	0.306
48	needpaper_v0.7_b Yonsei University NewcureM 9/14/2026	0.357	0.777	0.231	0.441	0.303
49	needpaper_v0.2_fin Yonsei University NewcureM 9/9/2026	0.357	0.777	0.229	0.441	0.302
50	Grounder_1.4a Gachon University MEDAI 9/2/2026	0.357	0.758	0.270	0.432	0.332
51	needpaper_v0.3_b Yonsei University NewcureM 9/13/2026	0.357	0.775	0.237	0.432	0.306
52	needpaper_v0.7_a Yonsei University NewcureM 9/14/2026	0.357	0.771	0.237	0.436	0.307
53	needpaper_v0.3_a Yonsei University NewcureM 9/13/2026	0.356	0.766	0.230	0.425	0.298
54	Grounder_1.4b Gachon University MEDAI 9/4/2026	0.356	0.758	0.285	0.432	0.344
55	needpaper_v0.3_c Yonsei University NewcureM 9/13/2026	0.356	0.770	0.240	0.429	0.308
56	TAGS_fs Netherlands Cancer Institute 9/7/2026	0.355	0.763	0.189	0.492	0.273
57	TAGS_TAP Netherlands Cancer Institute 9/9/2026	0.355	0.730	0.226	0.476	0.307
58	needpaper_v0.4_b2 Yonsei University NewcureM 9/13/2026	0.355	0.768	0.241	0.423	0.307
59	needpaper_v0.5_a Yonsei University NewcureM 9/14/2026	0.355	0.758	0.240	0.420	0.306
60	Grounder_1.4f Gachon University MEDAI 9/12/2026	0.355	0.749	0.300	0.419	0.350
61	Grounder_1.3 Gachon University MEDAI 8/18/2026	0.355	0.758	0.268	0.432	0.330
62	needpaper_v0.2_a Yonsei University NewcureM 9/12/2026	0.355	0.771	0.235	0.436	0.306
63	needpaper_v0.2_b Yonsei University NewcureM 9/12/2026	0.355	0.766	0.247	0.445	0.318
64	TAGS_fs Netherlands Cancer Institute 9/2/2026	0.354	0.763	0.174	0.489	0.256
65	juniper_v0.1re DEEPNOID 8/30/2026	0.354	0.753	0.211	0.451	0.288
66	Grounder_1.4 Gachon University MEDAI 8/31/2026	0.353	0.770	0.265	0.423	0.326
67	mmv1-t4-03 Siemens Healthineers 9/14/2026	0.353	0.768	0.163	0.488	0.244
68	mmv1-t4-04 Siemens Healthineers 9/14/2026	0.353	0.766	0.163	0.483	0.244
69	juniper_v0.2qbc Final DEEPNOID 9/13/2026	0.353	0.746	0.117	0.497	0.190
70	mmv1-t8b0-t8-03 Siemens Healthineers 9/14/2026	0.352	0.768	0.162	0.488	0.243
71	mmv1-t8-04 Siemens Healthineers 9/14/2026	0.352	0.766	0.163	0.480	0.243
72	juniper_v0.1ree5 DEEPNOID 9/5/2026	0.352	0.737	0.135	0.496	0.212
73	mmv1-t8b0-t8-04 Siemens Healthineers 9/14/2026	0.352	0.766	0.163	0.479	0.243
74	needpaper_v0.2_c Yonsei University NewcureM 9/12/2026	0.352	0.758	0.248	0.435	0.316
75	mmv1-t8-03 Siemens Healthineers 9/14/2026	0.352	0.768	0.162	0.491	0.244
76	juniper_v0.1ree DEEPNOID 9/1/2026	0.352	0.747	0.213	0.440	0.287
77	ww-t4-03 Final Siemens Healthineers 9/14/2026	0.352	0.765	0.162	0.492	0.243
78	ww-t4-03 Siemens Healthineers 9/14/2026	0.352	0.765	0.162	0.492	0.243
79	juniper_v0.1br DEEPNOID 9/3/2026	0.352	0.746	0.142	0.493	0.220
80	mmv1-t4-05 Siemens Healthineers 9/14/2026	0.352	0.763	0.163	0.469	0.242
81	juniper_v0.1s DEEPNOID 9/12/2026	0.352	0.737	0.136	0.494	0.213
82	ww-t4-04 Siemens Healthineers 9/14/2026	0.352	0.763	0.162	0.486	0.243
83	ww-t4-04 Siemens Healthineers 9/14/2026	0.352	0.763	0.162	0.486	0.243
84	mmv1-t12b03-t8-04 Siemens Healthineers 9/14/2026	0.351	0.766	0.162	0.480	0.243
85	mmv1-t12b03-t8-03 Siemens Healthineers 9/14/2026	0.351	0.771	0.161	0.489	0.243
86	juniper_v0.1reenr DEEPNOID 9/10/2026	0.351	0.739	0.137	0.496	0.214
87	mmv1-t8b0-t8-05 Siemens Healthineers 9/14/2026	0.351	0.756	0.165	0.473	0.244
88	ww-t8b0-t8-03 Siemens Healthineers 9/14/2026	0.351	0.765	0.161	0.492	0.242
89	juniper_v0.2qb DEEPNOID 9/13/2026	0.351	0.742	0.117	0.496	0.189
90	ww-t8-04 Siemens Healthineers 9/14/2026	0.351	0.763	0.162	0.484	0.242
91	ww-t8-04 Siemens Healthineers 9/14/2026	0.351	0.763	0.162	0.484	0.242
92	juniper_v0.1reen DEEPNOID 9/10/2026	0.351	0.739	0.135	0.496	0.212
93	ww-t8b0-t8-04 Siemens Healthineers 9/14/2026	0.351	0.763	0.162	0.483	0.242
94	juniper_v0.2q DEEPNOID 9/13/2026	0.351	0.741	0.116	0.493	0.188
95	ww-t8-03 Siemens Healthineers 9/14/2026	0.351	0.765	0.161	0.495	0.243
96	ww-t8-03 Siemens Healthineers 9/14/2026	0.351	0.765	0.161	0.495	0.243
97	mmv1-t8-05 Siemens Healthineers 9/14/2026	0.351	0.765	0.164	0.473	0.244
98	ww00 Siemens Healthineers 9/14/2026	0.351	0.754	0.162	0.485	0.243
99	ww00 Siemens Healthineers 9/14/2026	0.351	0.754	0.162	0.485	0.243
100	ww-t4-05 Siemens Healthineers 9/14/2026	0.350	0.759	0.162	0.473	0.241
101	ww-t4-05 Siemens Healthineers 9/14/2026	0.350	0.759	0.162	0.473	0.241
102	ww-t12b03-t8-04 Siemens Healthineers 9/14/2026	0.350	0.763	0.161	0.484	0.242
103	ww-t12b03-t8-03 Siemens Healthineers 9/14/2026	0.350	0.768	0.160	0.493	0.242
104	hav1-24only-t4-03 Siemens Healthineers 9/14/2026	0.350	0.756	0.186	0.475	0.268
105	needpaper_v0.7_c Yonsei University NewcureM 9/14/2026	0.350	0.758	0.240	0.415	0.304
106	hav1-24-t4-03 Siemens Healthineers 9/14/2026	0.350	0.747	0.195	0.476	0.276
107	ww-t8b0-t8-05 Siemens Healthineers 9/14/2026	0.350	0.753	0.163	0.477	0.243
108	hav1-24only-t4-04 Siemens Healthineers 9/14/2026	0.350	0.754	0.187	0.469	0.267
109	mmv1-t12b03-t8-05 Siemens Healthineers 9/14/2026	0.350	0.759	0.164	0.474	0.244
110	hav1-24-t4-04 Siemens Healthineers 9/14/2026	0.350	0.746	0.195	0.471	0.276
111	needpaper_v0.7_d Yonsei University NewcureM 9/14/2026	0.349	0.756	0.242	0.414	0.306
112	hav1-24only-t8b0-t8-03 Siemens Healthineers 9/14/2026	0.349	0.756	0.185	0.475	0.266
113	ww-t8-05 Siemens Healthineers 9/14/2026	0.349	0.761	0.163	0.476	0.243
114	ww-t8-05 Siemens Healthineers 9/14/2026	0.349	0.761	0.163	0.476	0.243
115	mmv1-t8b0-04 Siemens Healthineers 9/14/2026	0.349	0.759	0.163	0.480	0.243
116	mmv1-t12b03-03 Siemens Healthineers 9/14/2026	0.349	0.770	0.160	0.486	0.241
117	hav1-24only-t8-04 Siemens Healthineers 9/14/2026	0.349	0.754	0.187	0.467	0.267
118	hav1-24only-t8b0-t8-04 Siemens Healthineers 9/14/2026	0.349	0.754	0.187	0.466	0.267
119	hav1-24-t8b0-t8-03 Siemens Healthineers 9/14/2026	0.349	0.747	0.193	0.476	0.275
120	mmv1-t12b03-04 Siemens Healthineers 9/14/2026	0.349	0.765	0.161	0.480	0.241
121	hav1-24only-t8-03 Siemens Healthineers 9/14/2026	0.349	0.756	0.185	0.478	0.267
122	hav1-24-t8-04 Siemens Healthineers 9/14/2026	0.349	0.746	0.195	0.468	0.276
123	ha_v1_04_tv_ct Siemens Healthineers 9/13/2026	0.349	0.763	0.163	0.483	0.244
124	hav1-24-t8b0-t8-04 Siemens Healthineers 9/14/2026	0.349	0.746	0.196	0.468	0.276
125	hav1-24-t8-03 Siemens Healthineers 9/14/2026	0.349	0.747	0.193	0.479	0.275
126	mmv1-t8b0-03 Siemens Healthineers 9/14/2026	0.349	0.763	0.160	0.484	0.241
127	hav1-24only-t4-05 Siemens Healthineers 9/14/2026	0.349	0.751	0.188	0.456	0.266
128	TAGS_TAP Netherlands Cancer Institute 9/10/2026	0.348	0.766	0.180	0.493	0.264
129	ww-t12b03-t8-05 Siemens Healthineers 9/14/2026	0.348	0.756	0.163	0.478	0.243
130	hav1-24-t4-05 Siemens Healthineers 9/14/2026	0.348	0.742	0.197	0.457	0.275
131	hav1-24only-t12b03-t8-04 Siemens Healthineers 9/14/2026	0.348	0.754	0.186	0.467	0.266
132	hav1-24only-t12b03-t8-03 Siemens Healthineers 9/14/2026	0.348	0.759	0.184	0.476	0.265
133	testf DEEPNOID 9/12/2026	0.348	0.730	0.139	0.471	0.215
134	TAGS_th Netherlands Cancer Institute 8/29/2026	0.348	0.754	0.179	0.488	0.262
135	hav1-24-t12b03-t8-04 Siemens Healthineers 9/14/2026	0.348	0.746	0.194	0.468	0.275
136	hav1-24-t12b03-t8-03 Siemens Healthineers 9/14/2026	0.348	0.751	0.192	0.477	0.274
137	hav1-24only-t8b0-t8-05 Siemens Healthineers 9/14/2026	0.348	0.744	0.189	0.460	0.268
138	ww-t8b0-04 Siemens Healthineers 9/14/2026	0.348	0.756	0.161	0.484	0.242
139	ww-t12b03-03 Siemens Healthineers 9/14/2026	0.348	0.766	0.159	0.490	0.240
140	hav1-24-t8b0-t8-05 Siemens Healthineers 9/14/2026	0.348	0.735	0.198	0.461	0.277
141	juniper_v0.2r DEEPNOID 9/9/2026	0.348	0.753	0.161	0.533	0.248
142	ww-t12b03-04 Siemens Healthineers 9/14/2026	0.348	0.761	0.160	0.484	0.240
143	hav1-24only-t8-05 Siemens Healthineers 9/14/2026	0.348	0.753	0.189	0.460	0.268
144	mmv1-t12b03-05 Siemens Healthineers 9/14/2026	0.348	0.758	0.163	0.473	0.242
145	ww-t8b0-03 Siemens Healthineers 9/14/2026	0.347	0.759	0.159	0.488	0.240
146	hav1-24-t8-05 Siemens Healthineers 9/14/2026	0.347	0.744	0.198	0.461	0.277
147	comparison_test DEEPNOID 9/8/2026	0.347	0.763	0.111	0.530	0.183
148	mmv1-t8b0-05 Siemens Healthineers 9/14/2026	0.347	0.756	0.164	0.474	0.244
149	juniper_v0.1rt DEEPNOID 9/8/2026	0.347	0.771	0.114	0.533	0.187
150	ha_v1_24_f16a_w75_25 Siemens Healthineers 9/14/2026	0.347	0.735	0.202	0.455	0.279
151	TAGS_th Netherlands Cancer Institute 9/1/2026	0.347	0.759	0.169	0.498	0.252
152	hav1-24only-t12b03-t8-05 Siemens Healthineers 9/14/2026	0.347	0.747	0.189	0.461	0.268
153	ww-t4b0-03 Siemens Healthineers 9/14/2026	0.347	0.759	0.162	0.482	0.243
154	ww-t4b0-04 Siemens Healthineers 9/14/2026	0.347	0.758	0.164	0.481	0.244
155	TAGS_th_cp Netherlands Cancer Institute 8/27/2026	0.347	0.754	0.168	0.484	0.249
156	hav1-24-t12b03-t8-05 Siemens Healthineers 9/14/2026	0.347	0.739	0.198	0.463	0.277
157	hav1-24only-t8b0-04 Siemens Healthineers 9/14/2026	0.346	0.747	0.187	0.467	0.267
158	hav1-24only-t12b03-03 Siemens Healthineers 9/14/2026	0.346	0.758	0.182	0.473	0.263
159	ww-t12b03-05 Siemens Healthineers 9/14/2026	0.346	0.754	0.161	0.477	0.241
160	juniper_baseline DEEPNOID 9/2/2026	0.346	0.730	0.151	0.430	0.223
161	hav1-24only-t12b03-04 Siemens Healthineers 9/14/2026	0.346	0.753	0.184	0.467	0.264
162	hav1-24-t8b0-04 Siemens Healthineers 9/14/2026	0.346	0.739	0.195	0.468	0.275
163	hav1-24-t12b03-03 Siemens Healthineers 9/14/2026	0.346	0.749	0.190	0.474	0.272
164	ww-t8b0-05 Siemens Healthineers 9/14/2026	0.346	0.753	0.163	0.478	0.243
165	hav1-24-t12b03-04 Siemens Healthineers 9/14/2026	0.346	0.744	0.192	0.468	0.273
166	hav1-24only-t8b0-03 Siemens Healthineers 9/14/2026	0.346	0.751	0.183	0.471	0.263
167	ha_v1_24_tv8_tv28 Siemens Healthineers 9/13/2026	0.346	0.742	0.192	0.454	0.270
168	ww-t4b0-05 Siemens Healthineers 9/14/2026	0.346	0.754	0.163	0.474	0.242
169	TAGS_th Netherlands Cancer Institute 8/26/2026	0.346	0.761	0.167	0.483	0.248
170	hav1-24-t8b0-03 Siemens Healthineers 9/14/2026	0.346	0.742	0.191	0.472	0.272
171	mm-v1-04 Siemens Healthineers 9/12/2026	0.345	0.753	0.163	0.461	0.241
172	ha_v1_18_tv8 Siemens Healthineers 9/13/2026	0.345	0.741	0.188	0.451	0.266
173	hav1-24-t4b0-03 Siemens Healthineers 9/14/2026	0.345	0.742	0.196	0.466	0.276
174	hav1-24-t4b0-04 Siemens Healthineers 9/14/2026	0.345	0.741	0.198	0.466	0.278
175	hav1-24only-t12b03-05 Siemens Healthineers 9/14/2026	0.345	0.746	0.187	0.460	0.266
176	hav1-24only-t8b0-05 Siemens Healthineers 9/14/2026	0.344	0.744	0.189	0.461	0.268
177	hav1-24-t12b03-05 Siemens Healthineers 9/14/2026	0.344	0.737	0.195	0.461	0.274
178	hav1-24-t8b0-05 Siemens Healthineers 9/14/2026	0.344	0.735	0.197	0.462	0.277
179	hav1-24-t4b0-05 Siemens Healthineers 9/14/2026	0.344	0.737	0.198	0.459	0.276
180	ha_v1_14_tv4 Siemens Healthineers 9/13/2026	0.344	0.739	0.186	0.445	0.262
181	Curia-MAE-loc-v0 Final Raidium 9/1/2026	0.343	0.753	0.183	0.456	0.261
182	needpaper_v0.0_plain Yonsei University NewcureM 9/8/2026	0.343	0.758	0.235	0.400	0.296
183	needpaper_v0.1_hv2 Yonsei University NewcureM 9/8/2026	0.343	0.761	0.230	0.425	0.299
184	ha_v1_08_tv Siemens Healthineers 9/13/2026	0.343	0.749	0.177	0.449	0.253
185	ha_v1_04_tv Siemens Healthineers 9/13/2026	0.342	0.753	0.181	0.460	0.260
186	ha_v3_10 Siemens Healthineers 9/13/2026	0.342	0.732	0.175	0.446	0.251
187	ha_v1_07_ct Siemens Healthineers 9/12/2026	0.342	0.746	0.156	0.470	0.234
188	sp2d_extent_v1_U01k Siemens Healthineers 9/14/2026	0.341	0.741	0.164	0.462	0.242
189	needpaper_v0.1_plain Yonsei University NewcureM 9/8/2026	0.341	0.730	0.259	0.402	0.315
190	ha_v1_10 Siemens Healthineers 9/12/2026	0.340	0.735	0.176	0.446	0.253
191	U11000_tv_resample_v1_ct Siemens Healthineers 9/13/2026	0.340	0.759	0.140	0.462	0.215
192	needpaper_v0.0 Yonsei University NewcureM 9/8/2026	0.340	0.744	0.315	0.374	0.342
193	U11000_resample_v1_cat Siemens Healthineers 9/13/2026	0.340	0.754	0.140	0.462	0.215
194	ha_v1_07 Siemens Healthineers 9/12/2026	0.339	0.735	0.180	0.447	0.256
195	ThoraxTell 1.4.d Final German Cancer Research Center 9/12/2026	0.339	0.742	0.169	0.456	0.246
196	ha_v2_10 Siemens Healthineers 9/13/2026	0.339	0.734	0.183	0.445	0.259
197	TAGS_dd Netherlands Cancer Institute 8/25/2026	0.339	0.751	0.146	0.503	0.226
198	ha_v1_04_tv_native Siemens Healthineers 9/13/2026	0.339	0.742	0.156	0.453	0.231
199	TAGS_dt Netherlands Cancer Institute 8/23/2026	0.338	0.747	0.145	0.498	0.225
200	sp2d_extent_v1_U1500 Siemens Healthineers 9/14/2026	0.338	0.742	0.165	0.456	0.242
201	juniper-v0.1r DEEPNOID 8/24/2026	0.338	0.739	0.159	0.494	0.241
202	TAGS_dc Netherlands Cancer Institute 8/25/2026	0.338	0.749	0.145	0.515	0.226
203	VoxTell 1.4b German Cancer Research Center 9/2/2026	0.338	0.739	0.168	0.455	0.246
204	TAGS_th_cp Netherlands Cancer Institute 8/28/2026	0.338	0.742	0.157	0.491	0.238
205	controlside Yonsei University NewcureM 9/4/2026	0.337	0.727	0.324	0.421	0.366
206	controlsel Yonsei University NewcureM 9/4/2026	0.337	0.727	0.323	0.421	0.366
207	ha_v1_04_tv_resample Siemens Healthineers 9/13/2026	0.337	0.747	0.174	0.448	0.251
208	TAGS_dtm Netherlands Cancer Institute 8/24/2026	0.337	0.753	0.141	0.512	0.221
209	b0_d0p75_U14k Siemens Healthineers 9/14/2026	0.337	0.753	0.150	0.503	0.231
210	sp2d_extent_v1_U05k Siemens Healthineers 9/14/2026	0.337	0.737	0.167	0.450	0.243
211	sample1_d06 Siemens Healthineers 9/14/2026	0.337	0.727	0.164	0.443	0.239
212	V++_d11ct Siemens Healthineers 9/11/2026	0.337	0.739	0.179	0.450	0.256
213	juniper_v0.2rt DEEPNOID 9/10/2026	0.337	0.746	0.220	0.494	0.304
214	ff16c-11 Siemens Healthineers 9/11/2026	0.336	0.732	0.179	0.446	0.255
215	sample1_d05 Siemens Healthineers 9/14/2026	0.336	0.730	0.162	0.446	0.238
216	sample1_d07 Siemens Healthineers 9/14/2026	0.336	0.723	0.163	0.438	0.238
217	U11000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.336	0.741	0.162	0.449	0.238
218	ThoraxTell 1.4c German Cancer Research Center 9/3/2026	0.336	0.737	0.191	0.446	0.267
219	ff16c-12 Siemens Healthineers 9/11/2026	0.336	0.732	0.179	0.445	0.255
220	b3_d0p75_U07k Siemens Healthineers 9/14/2026	0.336	0.777	0.134	0.506	0.212
221	b0_d0p75_U15k Siemens Healthineers 9/14/2026	0.336	0.742	0.142	0.480	0.220
222	cfv3_U05k Siemens Healthineers 9/13/2026	0.336	0.744	0.170	0.445	0.246
223	sample1_d04 Siemens Healthineers 9/14/2026	0.336	0.730	0.162	0.450	0.238
224	sample2_d06 Siemens Healthineers 9/14/2026	0.336	0.735	0.160	0.446	0.236
225	juniper_v0.1f2 DEEPNOID 8/20/2026	0.336	0.741	0.154	0.485	0.234
226	b0_d0p75_U13k Siemens Healthineers 9/14/2026	0.336	0.746	0.133	0.478	0.208
227	tv55_d075_U12k Siemens Healthineers 9/13/2026	0.336	0.744	0.148	0.485	0.227
228	b3_d0p75_U08k Siemens Healthineers 9/14/2026	0.335	0.763	0.142	0.485	0.220
229	U13000_tv_native_v1_ct Siemens Healthineers 9/13/2026	0.335	0.741	0.143	0.478	0.220
230	sample1_d09 Siemens Healthineers 9/14/2026	0.335	0.725	0.164	0.428	0.237
231	U13000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.335	0.746	0.144	0.462	0.219
232	sample2_d08 Siemens Healthineers 9/14/2026	0.335	0.735	0.161	0.443	0.236
233	sp2b2c_U01k Siemens Healthineers 9/13/2026	0.335	0.741	0.163	0.446	0.238
234	U17000_tv_native_v1 Siemens Healthineers 9/12/2026	0.335	0.737	0.143	0.445	0.217
235	U12000_tv_resample_v1_ct Siemens Healthineers 9/13/2026	0.335	0.749	0.150	0.451	0.225
236	V++_f16a-11 Siemens Healthineers 9/11/2026	0.335	0.734	0.179	0.437	0.254
237	ff16b-11 Siemens Healthineers 9/11/2026	0.335	0.734	0.179	0.437	0.254
238	sp2d_extent_v1_U500 Siemens Healthineers 9/14/2026	0.334	0.746	0.154	0.471	0.232
239	sample1_d10 Siemens Healthineers 9/14/2026	0.334	0.722	0.164	0.425	0.236
240	sp2a_v2_U03k Siemens Healthineers 9/14/2026	0.334	0.735	0.169	0.448	0.246
241	sample2_d09 Siemens Healthineers 9/14/2026	0.334	0.735	0.162	0.441	0.237
242	baseline12 Yonsei University NewcureM 8/30/2026	0.334	0.729	0.242	0.433	0.310
243	baseline13 Yonsei University NewcureM 8/30/2026	0.334	0.729	0.242	0.433	0.310
244	ff16b-12 Siemens Healthineers 9/11/2026	0.334	0.732	0.179	0.436	0.254
245	c4d Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.334	0.744	0.121	0.506	0.195
246	c4dresxdo Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.334	0.744	0.121	0.506	0.195
247	overall c6 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.334	0.734	0.112	0.495	0.182
248	U13000_tv_native_v1 Siemens Healthineers 9/12/2026	0.334	0.749	0.138	0.466	0.213
249	sp2a_v2_U01k Siemens Healthineers 9/14/2026	0.334	0.732	0.173	0.446	0.249
250	Juniper-v0 DEEPNOID 8/18/2026	0.334	0.746	0.162	0.476	0.242
251	sp2a_U06k Siemens Healthineers 9/13/2026	0.333	0.730	0.175	0.443	0.251
252	Grounder_1.2 Gachon University MEDAI 8/13/2026	0.333	0.718	0.237	0.400	0.298
253	V++_d12 Siemens Healthineers 9/10/2026	0.333	0.727	0.179	0.430	0.253
254	U13000_tv_native_v2 Siemens Healthineers 9/12/2026	0.333	0.749	0.139	0.465	0.214
255	U15000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.333	0.754	0.157	0.458	0.234
256	V++_d11 Siemens Healthineers 9/10/2026	0.333	0.727	0.178	0.431	0.252
257	sp2a_U02k Siemens Healthineers 9/13/2026	0.333	0.725	0.173	0.445	0.249
258	Juniper-v0.1 DEEPNOID 8/18/2026	0.333	0.746	0.153	0.488	0.233
259	sample1_d11 Siemens Healthineers 9/14/2026	0.333	0.718	0.163	0.419	0.235
260	SJTU426Lab-V18 Final Shanghai Jiao Tong University 9/14/2026	0.333	0.716	0.169	0.466	0.248
261	V++_e12 Siemens Healthineers 9/10/2026	0.333	0.720	0.184	0.430	0.257
262	main c4d1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.333	0.737	0.126	0.500	0.201
263	main c4d Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.333	0.737	0.126	0.500	0.201
264	VoxTell_tv5way_s025 Final Hamad Bin Khalifa University 9/14/2026	0.333	0.689	0.231	0.421	0.299
265	small30_tv28_U12k Siemens Healthineers 9/14/2026	0.333	0.747	0.134	0.474	0.209
266	VoxTell_cw_s025 Hamad Bin Khalifa University 9/11/2026	0.333	0.713	0.211	0.449	0.288
267	V++_e11 Siemens Healthineers 9/10/2026	0.333	0.722	0.183	0.431	0.257
268	main c6 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.333	0.727	0.116	0.489	0.187
269	VoxTell_tv4way_s025 Hamad Bin Khalifa University 9/13/2026	0.333	0.698	0.235	0.418	0.301
270	U10000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.333	0.730	0.168	0.463	0.246
271	U18000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.333	0.749	0.167	0.447	0.243
272	ff16a-12 Siemens Healthineers 9/11/2026	0.333	0.722	0.184	0.427	0.257
273	ff16a-11 Siemens Healthineers 9/11/2026	0.333	0.723	0.183	0.427	0.257
274	V++_f16a-1 Siemens Healthineers 9/11/2026	0.333	0.723	0.183	0.427	0.257
275	sample2_d10 Siemens Healthineers 9/14/2026	0.332	0.734	0.164	0.435	0.238
276	finalc2 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/11/2026	0.332	0.742	0.123	0.502	0.198
277	sp2a_U03k fix Siemens Healthineers 9/13/2026	0.332	0.739	0.170	0.445	0.246
278	U14000_tv_native_v1_ct Siemens Healthineers 9/13/2026	0.332	0.741	0.139	0.465	0.214
279	cfv3_U04k Siemens Healthineers 9/13/2026	0.332	0.754	0.173	0.445	0.249
280	Curia-MAE-loc-v0.1 Raidium 9/2/2026	0.332	0.722	0.174	0.435	0.249
281	sp2a_U01k Siemens Healthineers 9/13/2026	0.332	0.729	0.168	0.448	0.244
282	U20000_tv_native_v1 Siemens Healthineers 9/12/2026	0.332	0.718	0.147	0.430	0.219
283	U14000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.332	0.741	0.180	0.450	0.258
284	U10000_tv_resample_v2 Siemens Healthineers 9/12/2026	0.332	0.729	0.168	0.462	0.247
285	finalc3 Final Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.332	0.741	0.123	0.504	0.197
286	finalc Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.332	0.729	0.124	0.489	0.197
287	c4dri1xdo Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.332	0.730	0.122	0.491	0.195
288	sp2b2c_U02k Siemens Healthineers 9/13/2026	0.332	0.741	0.160	0.451	0.237
289	Finalb Friedrich-Alexander-Universität Erlangen-Nürnberg 9/6/2026	0.332	0.727	0.134	0.484	0.210
290	finalb2 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.331	0.725	0.134	0.484	0.210
291	c4xdoall Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.739	0.117	0.514	0.191
292	V++_d3_original Siemens Healthineers 9/9/2026	0.331	0.723	0.174	0.430	0.248
293	V++_d3 Siemens Healthineers 9/9/2026	0.331	0.723	0.174	0.430	0.248
294	overall c5 ens3 mqb1 1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.735	0.114	0.504	0.186
295	VoxTell_tvs3_s025 Hamad Bin Khalifa University 9/11/2026	0.331	0.691	0.236	0.421	0.303
296	MainTfinalb Friedrich-Alexander-Universität Erlangen-Nürnberg 9/9/2026	0.331	0.729	0.134	0.482	0.210
297	neededfirstplace-_- Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.713	0.125	0.445	0.195
298	agent1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/9/2026	0.331	0.729	0.131	0.488	0.207
299	c4xdomqAll Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.746	0.117	0.515	0.191
300	main c5 1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.727	0.121	0.491	0.194
301	overall c51a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.727	0.121	0.491	0.194
302	c5dresmqb1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.727	0.121	0.491	0.194
303	overall c5dresmqb1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.727	0.121	0.491	0.194
304	V++_e3 Siemens Healthineers 9/10/2026	0.331	0.718	0.178	0.430	0.252
305	overall c5 dresri1xdo1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.723	0.127	0.486	0.202
306	c5dresri1xdo1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.723	0.127	0.486	0.202
307	B3_S1_lobeROI_resample_v1 Siemens Healthineers 9/10/2026	0.331	0.734	0.149	0.441	0.223
308	sp2b2c_v2_U03k Siemens Healthineers 9/14/2026	0.331	0.735	0.172	0.435	0.247
309	main c3 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.734	0.128	0.499	0.203
310	main c4d ri1xdo Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.331	0.723	0.127	0.486	0.201
311	TAGS_v25 Netherlands Cancer Institute 8/20/2026	0.330	0.742	0.142	0.494	0.221
312	U14000_tv_native_v1 Siemens Healthineers 9/12/2026	0.330	0.735	0.149	0.452	0.224
313	sp2d_extent_v1_U03k Siemens Healthineers 9/14/2026	0.330	0.730	0.166	0.454	0.243
314	main c4 xdoall Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.330	0.732	0.122	0.509	0.197
315	TAGS_v2 Netherlands Cancer Institute 8/20/2026	0.330	0.741	0.137	0.497	0.214
316	UShanghaiTech United Imaging Intelligence ShanghaiTech University Zhongshan Hospital 8/31/2026	0.330	0.694	0.257	0.382	0.307
317	U16000_tv_native_v1 Siemens Healthineers 9/12/2026	0.330	0.732	0.138	0.446	0.211
318	B3_S1_lobeROI_v1_native Siemens Healthineers 9/11/2026	0.330	0.725	0.223	0.405	0.288
319	SJTU426Lab-V17 Shanghai Jiao Tong University 9/13/2026	0.330	0.715	0.170	0.460	0.248
320	B3_S1_lobeROI_resample_v2 Siemens Healthineers 9/10/2026	0.330	0.732	0.150	0.441	0.223
321	b3_d0p75_U05k Siemens Healthineers 9/14/2026	0.330	0.746	0.143	0.480	0.220
322	B3_S1_lobeROI_v1_native_only Siemens Healthineers 9/11/2026	0.330	0.727	0.147	0.413	0.217
323	main c5 ens3 mqb1 1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.330	0.729	0.118	0.498	0.191
324	composite 5 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/30/2026	0.330	0.732	0.129	0.488	0.204
325	V++_d2 Siemens Healthineers 9/9/2026	0.330	0.725	0.173	0.431	0.247
326	U16000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.330	0.747	0.175	0.448	0.252
327	composite Friedrich-Alexander-Universität Erlangen-Nürnberg 8/25/2026	0.330	0.722	0.128	0.481	0.202
328	tv28_U14k Siemens Healthineers 9/13/2026	0.330	0.737	0.158	0.463	0.235
329	needfirstplace_v1.24 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.330	0.713	0.125	0.443	0.195
330	needfirstplace_v1.22 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.330	0.720	0.119	0.439	0.188
331	B3_S1_lobeROI_v2_native Siemens Healthineers 9/11/2026	0.330	0.722	0.225	0.403	0.289
332	c5xdomqALL1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.330	0.739	0.122	0.509	0.197
333	overall c5 xdomqall1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.330	0.739	0.122	0.509	0.197
334	main_C4_xdomqall Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.330	0.739	0.122	0.509	0.197
335	needfirstplace_v1.18 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.330	0.727	0.111	0.432	0.177
336	B3_S1_lobeROI_v2_native_only Siemens Healthineers 9/11/2026	0.330	0.723	0.148	0.411	0.218
337	V++_e2 Siemens Healthineers 9/10/2026	0.330	0.720	0.177	0.431	0.251
338	IMRVox0909-1 Shanghai Jiao Tong University 9/9/2026	0.330	0.725	0.259	0.438	0.325
339	needfirstplace_v1.23 Final Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.329	0.722	0.120	0.440	0.189
340	TAGS_basetest Netherlands Cancer Institute 8/28/2026	0.329	0.749	0.151	0.473	0.229
341	composite 3 real Friedrich-Alexander-Universität Erlangen-Nürnberg 8/26/2026	0.329	0.727	0.130	0.481	0.205
342	baseline14 Yonsei University NewcureM 9/7/2026	0.329	0.730	0.290	0.382	0.330
343	needfirstplace_v1.17 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.329	0.727	0.112	0.435	0.178
344	b3_d0p75_U04k Siemens Healthineers 9/14/2026	0.329	0.725	0.132	0.475	0.206
345	IMRVox-0904-1 Shanghai Jiao Tong University 9/4/2026	0.329	0.723	0.262	0.436	0.328
346	CARE-CT Final Microsoft Research India 8/18/2026	0.329	0.739	0.168	0.434	0.242
347	overall c5 xdoallmqb11a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.329	0.729	0.113	0.505	0.184
348	needfirstplace_v1.21 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/12/2026	0.329	0.722	0.121	0.438	0.190
349	VoxTell_v9aug_step025 Hamad Bin Khalifa University 9/9/2026	0.329	0.696	0.214	0.445	0.289
350	tv28_U13k Siemens Healthineers 9/13/2026	0.329	0.751	0.137	0.498	0.215
351	Unnamed model (UGcIaf) Final Microsoft Research India 8/29/2026	0.329	0.730	0.198	0.412	0.268
352	needfirstplace_v1.2 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.329	0.727	0.110	0.432	0.175
353	ThoraxTell 1.3 German Cancer Research Center 8/29/2026	0.329	0.727	0.134	0.465	0.208
354	composite 2 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/26/2026	0.329	0.720	0.128	0.480	0.202
355	overall c5 xdom1all mqb1 1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.329	0.735	0.113	0.506	0.184
356	composite 7 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/6/2026	0.328	0.722	0.143	0.468	0.219
357	composite 6 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/3/2026	0.328	0.722	0.143	0.468	0.219
358	V++_old_combo_v2 Siemens Healthineers 9/10/2026	0.328	0.729	0.143	0.425	0.214
359	needfirstplace_v1.19 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.328	0.727	0.110	0.435	0.176
360	control4 Yonsei University NewcureM 9/5/2026	0.328	0.737	0.251	0.423	0.315
361	ha_v1_06_tv28 Siemens Healthineers 9/13/2026	0.328	0.727	0.160	0.456	0.236
362	composite 4 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/29/2026	0.328	0.735	0.127	0.485	0.202
363	main c5 xdoallmqb11a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.328	0.722	0.117	0.499	0.190
364	overallc5xdoallmqb1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.328	0.722	0.117	0.499	0.190
365	c5xdoALLmqb1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.328	0.722	0.117	0.499	0.190
366	control6 Yonsei University NewcureM 9/7/2026	0.328	0.739	0.256	0.423	0.319
367	B3_S1_lobeROI_v2_with_B0 Siemens Healthineers 9/11/2026	0.328	0.725	0.149	0.421	0.220
368	SJTU426Lab-V16 Shanghai Jiao Tong University 9/12/2026	0.328	0.718	0.158	0.463	0.236
369	baseline14sel Yonsei University NewcureM 9/7/2026	0.328	0.722	0.359	0.364	0.361
370	sample2_d11 Siemens Healthineers 9/14/2026	0.328	0.725	0.163	0.423	0.235
371	composite 3 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/26/2026	0.328	0.715	0.126	0.477	0.199
372	control5 Yonsei University NewcureM 9/6/2026	0.328	0.737	0.252	0.423	0.316
373	ThoraxTell 1.4 German Cancer Research Center 9/2/2026	0.328	0.725	0.144	0.461	0.220
374	V++_old_combo_v1 Siemens Healthineers 9/10/2026	0.328	0.729	0.142	0.425	0.213
375	B3_S1_lobeROI_v1_with_B0 Siemens Healthineers 9/11/2026	0.328	0.725	0.148	0.422	0.219
376	VoxTell_cot83_ph2 Hamad Bin Khalifa University 9/8/2026	0.328	0.711	0.214	0.448	0.290
377	VoxTell_cot83_ph Hamad Bin Khalifa University 9/8/2026	0.328	0.711	0.214	0.448	0.290
378	U15000_tv_native_v1 Siemens Healthineers 9/12/2026	0.328	0.729	0.140	0.420	0.209
379	Referent-V2 Duke University 8/18/2026	0.327	0.735	0.157	0.448	0.233
380	main c5 xdom1all mqb1 1a Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.327	0.729	0.117	0.500	0.190
381	IMRVox-0914-1 Final Shanghai Jiao Tong University 9/14/2026	0.327	0.715	0.266	0.419	0.326
382	Grounder_1.1 Gachon University MEDAI 7/18/2026	0.327	0.732	0.261	0.408	0.318
383	VoxTell_v8enc Hamad Bin Khalifa University 9/3/2026	0.327	0.704	0.182	0.432	0.256
384	tv55_d075_U13k Siemens Healthineers 9/13/2026	0.327	0.763	0.128	0.499	0.204
385	VoxTell_tv-s3 Hamad Bin Khalifa University 9/9/2026	0.327	0.680	0.227	0.417	0.294
386	U18000_tv_native_v1 Siemens Healthineers 9/12/2026	0.327	0.722	0.155	0.422	0.226
387	IMRVox0911-1 Shanghai Jiao Tong University 9/11/2026	0.327	0.718	0.259	0.426	0.322
388	tv55_d075_U14k Siemens Healthineers 9/14/2026	0.327	0.737	0.130	0.448	0.202
389	U12000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.327	0.739	0.161	0.432	0.234
390	V++_b3 Siemens Healthineers 9/6/2026	0.327	0.730	0.148	0.447	0.222
391	U17000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.327	0.739	0.160	0.441	0.235
392	IMRVox-0906-1 Shanghai Jiao Tong University 9/6/2026	0.327	0.730	0.243	0.439	0.313
393	VoXTell_2.0 Seoul National University 8/11/2026	0.326	0.710	0.178	0.423	0.251
394	ThoraxTell 1.2 German Cancer Research Center 8/22/2026	0.326	0.723	0.144	0.460	0.219
395	IMRVox-0911-2 Shanghai Jiao Tong University 9/11/2026	0.326	0.727	0.254	0.435	0.321
396	juniper_v0.1f DEEPNOID 8/20/2026	0.326	0.701	0.406	0.347	0.374
397	Referent-V2 Final Duke University 8/11/2026	0.326	0.737	0.146	0.453	0.221
398	V++_d1ct Siemens Healthineers 9/11/2026	0.326	0.730	0.161	0.435	0.235
399	sp2b2c_U06k Siemens Healthineers 9/13/2026	0.326	0.732	0.161	0.429	0.234
400	test3 Final Seoul National University 9/1/2026	0.326	0.725	0.218	0.405	0.283
401	Unnamed model (cAQSo8) Siemens Healthineers 9/9/2026	0.326	0.725	0.159	0.431	0.233
402	SJTU426Lab-V15 Shanghai Jiao Tong University 9/12/2026	0.326	0.710	0.158	0.460	0.235
403	CARE-CT-V2 Microsoft Research India 8/9/2026	0.326	0.713	0.231	0.416	0.297
404	VoxTell_v8enc_LT Hamad Bin Khalifa University 9/5/2026	0.325	0.704	0.200	0.428	0.273
405	TAGS_s Netherlands Cancer Institute 8/18/2026	0.325	0.730	0.145	0.479	0.223
406	selector 4 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/25/2026	0.325	0.727	0.127	0.475	0.200
407	V++_e1 Siemens Healthineers 9/10/2026	0.325	0.716	0.161	0.431	0.234
408	MICLAB_VoXTell_E University of Campinas 9/12/2026	0.325	0.708	0.135	0.488	0.211
409	tap1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/11/2026	0.325	0.710	0.127	0.476	0.201
410	resample_0p75-0p7-0p7 Siemens Healthineers 9/13/2026	0.325	0.737	0.150	0.446	0.225
411	U19000_tv_native_v1 Siemens Healthineers 9/12/2026	0.325	0.722	0.141	0.404	0.210
412	cfv3_U01k Siemens Healthineers 9/13/2026	0.325	0.723	0.176	0.438	0.251
413	tv28_U15k Siemens Healthineers 9/13/2026	0.325	0.739	0.143	0.453	0.218
414	V++_b2 Siemens Healthineers 9/6/2026	0.325	0.729	0.148	0.448	0.222
415	VoxTell_v8tv Hamad Bin Khalifa University 9/3/2026	0.325	0.689	0.219	0.421	0.288
416	VoxTell_cot83_t85 Hamad Bin Khalifa University 9/9/2026	0.324	0.706	0.193	0.455	0.271
417	B3_S1_lobeROI_v1 Siemens Healthineers 9/9/2026	0.324	0.723	0.147	0.450	0.221
418	B3_S1_lobeROI_v2 Siemens Healthineers 9/9/2026	0.324	0.722	0.148	0.449	0.222
419	control3 Yonsei University NewcureM 9/3/2026	0.324	0.729	0.246	0.418	0.310
420	selector 3 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/24/2026	0.324	0.723	0.153	0.466	0.231
421	control2 Yonsei University NewcureM 9/2/2026	0.324	0.727	0.244	0.417	0.308
422	F2 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/5/2026	0.324	0.704	0.192	0.449	0.269
423	VoxTell_v9aug Hamad Bin Khalifa University 9/6/2026	0.324	0.692	0.199	0.433	0.272
424	small30_tv28_U14k Siemens Healthineers 9/14/2026	0.324	0.727	0.168	0.448	0.244
425	IMRVox-0902-3 Shanghai Jiao Tong University 9/2/2026	0.324	0.716	0.252	0.426	0.317
426	cfv3_restart4k_U06k Siemens Healthineers 9/14/2026	0.324	0.734	0.153	0.418	0.224
427	tv28_U12k Siemens Healthineers 9/13/2026	0.323	0.735	0.168	0.447	0.244
428	MUW-Grounder-v2 Final Medical University of Vienna 9/8/2026	0.323	0.749	0.163	0.456	0.240
429	test9 Fudan University 9/14/2026	0.323	0.732	0.287	0.418	0.340
430	test8 Fudan University 9/14/2026	0.323	0.732	0.287	0.418	0.340
431	VoxTell_tv-s3_t85 Hamad Bin Khalifa University 9/9/2026	0.323	0.680	0.225	0.404	0.289
432	Farm-Best-HZ-12 Final Fudan University 9/14/2026	0.323	0.735	0.286	0.420	0.340
433	test1 Fudan University 9/13/2026	0.323	0.735	0.286	0.420	0.340
434	test2 Fudan University 9/14/2026	0.323	0.735	0.286	0.420	0.340
435	B3_only_LLR_v2 Siemens Healthineers 9/9/2026	0.323	0.708	0.138	0.417	0.208
436	U12000_tv_native_v1 Siemens Healthineers 9/12/2026	0.323	0.722	0.137	0.465	0.212
437	Farm-Best-Siyu-8 Fudan University 9/13/2026	0.323	0.737	0.286	0.421	0.340
438	test7 Fudan University 9/14/2026	0.323	0.732	0.287	0.417	0.340
439	U12000_tv_native_v2 Siemens Healthineers 9/12/2026	0.323	0.722	0.138	0.463	0.213
440	B3_only_LLR_v1-2 Siemens Healthineers 9/9/2026	0.322	0.708	0.137	0.417	0.206
441	encall1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.322	0.704	0.134	0.468	0.208
442	composite 6 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/30/2026	0.322	0.722	0.130	0.461	0.203
443	F1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/5/2026	0.322	0.704	0.202	0.448	0.278
444	B3_only_LLR_v1 Siemens Healthineers 9/9/2026	0.322	0.706	0.137	0.417	0.207
445	Farm-Best-HZ-11 Fudan University 9/11/2026	0.322	0.737	0.287	0.418	0.341
446	sp2b2c_v2_U01k Siemens Healthineers 9/14/2026	0.322	0.720	0.159	0.417	0.231
447	test5 Fudan University 9/14/2026	0.322	0.729	0.252	0.411	0.312
448	test11 Fudan University 9/14/2026	0.322	0.725	0.252	0.408	0.312
449	test16 Final Fudan University 9/14/2026	0.322	0.730	0.271	0.411	0.327
450	CARE-CT-V2 Microsoft Research India 8/13/2026	0.322	0.704	0.220	0.400	0.284
451	final Fudan University 9/14/2026	0.322	0.727	0.271	0.411	0.327
452	test18 Fudan University 9/14/2026	0.322	0.727	0.271	0.411	0.327
453	selector fix Friedrich-Alexander-Universität Erlangen-Nürnberg 8/21/2026	0.322	0.713	0.153	0.460	0.230
454	baseline11 Yonsei University NewcureM 8/28/2026	0.322	0.715	0.200	0.415	0.270
455	test17 Fudan University 9/14/2026	0.322	0.727	0.271	0.411	0.327
456	control1 Yonsei University NewcureM 9/1/2026	0.322	0.722	0.225	0.411	0.291
457	test15 Fudan University 9/14/2026	0.322	0.723	0.256	0.408	0.315
458	test14 Fudan University 9/14/2026	0.322	0.723	0.256	0.408	0.315
459	VT++_resample_semantic_v2 Siemens Healthineers 9/4/2026	0.322	0.711	0.159	0.433	0.232
460	V++_b1 Siemens Healthineers 9/6/2026	0.322	0.723	0.132	0.448	0.204
461	VT++ Final Siemens Healthineers 8/24/2026	0.321	0.710	0.152	0.430	0.224
462	test13 Fudan University 9/14/2026	0.321	0.725	0.254	0.407	0.313
463	MICLAB_VoXTell_E0 University of Campinas 9/13/2026	0.321	0.708	0.127	0.489	0.202
464	resample_1p0-0p7-0p7 Siemens Healthineers 9/13/2026	0.321	0.711	0.158	0.433	0.232
465	test12 Fudan University 9/14/2026	0.321	0.725	0.252	0.407	0.311
466	V++_resample_semantic_v1 Siemens Healthineers 9/4/2026	0.321	0.711	0.158	0.433	0.231
467	VoXTell-FT-B24k-E University of Campinas 8/4/2026	0.321	0.696	0.127	0.476	0.200
468	SJTU426Lab-V14 Shanghai Jiao Tong University 9/11/2026	0.321	0.706	0.160	0.451	0.236
469	VoxTell_v9aug_ph Hamad Bin Khalifa University 9/8/2026	0.321	0.691	0.214	0.419	0.284
470	Referent-b Duke University 8/10/2026	0.321	0.723	0.147	0.425	0.219
471	U9000_tv_resample_v1 Siemens Healthineers 9/12/2026	0.321	0.734	0.169	0.462	0.248
472	rescue4 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/20/2026	0.321	0.701	0.152	0.455	0.228
473	V++_lobeROI_v2 Siemens Healthineers 9/9/2026	0.321	0.718	0.151	0.445	0.225
474	Referent Duke University 8/8/2026	0.321	0.710	0.125	0.424	0.193
475	ri1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/11/2026	0.321	0.711	0.125	0.494	0.200
476	IMRVox-0902-2 Shanghai Jiao Tong University 9/2/2026	0.321	0.727	0.249	0.428	0.315
477	control Yonsei University NewcureM 8/30/2026	0.321	0.720	0.210	0.408	0.278
478	VT++_semantic_v1 Siemens Healthineers 9/3/2026	0.321	0.710	0.150	0.430	0.223
479	VT++_semantic_v1 Siemens Healthineers 9/3/2026	0.321	0.710	0.150	0.430	0.223
480	SJTU426Lab-V13 Shanghai Jiao Tong University 9/11/2026	0.321	0.704	0.160	0.450	0.236
481	V++_lobeROI_v1 Siemens Healthineers 9/9/2026	0.321	0.720	0.149	0.446	0.224
482	MICLab_VoxTell University of Campinas 9/11/2026	0.320	0.701	0.132	0.478	0.207
483	V++_a3 Siemens Healthineers 9/6/2026	0.320	0.710	0.133	0.440	0.205
484	S4 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/5/2026	0.320	0.699	0.206	0.417	0.276
485	VoXTell_1.1 Seoul National University 8/10/2026	0.320	0.710	0.172	0.420	0.244
486	MUW-Grounder Medical University of Vienna 9/1/2026	0.320	0.742	0.162	0.453	0.239
487	U9000_tv_resample_v2 Siemens Healthineers 9/12/2026	0.320	0.732	0.170	0.461	0.248
488	VoXTell-FT-B24k-E0 Final University of Campinas 8/5/2026	0.320	0.713	0.122	0.486	0.195
489	A4 Final LFAI 9/14/2026	0.320	0.716	0.106	0.509	0.176
490	b3_d0p75_U06k Siemens Healthineers 9/14/2026	0.320	0.732	0.145	0.454	0.220
491	ccd1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.320	0.725	0.101	0.499	0.168
492	b0_d0p75_U12k Siemens Healthineers 9/14/2026	0.320	0.753	0.113	0.507	0.185
493	A3 LFAI 9/14/2026	0.320	0.716	0.106	0.509	0.176
494	Farm-Best-HZ-9 Fudan University 9/10/2026	0.320	0.725	0.289	0.410	0.339
495	rescue2 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/19/2026	0.319	0.703	0.158	0.456	0.235
496	baseline10 Yonsei University NewcureM 8/28/2026	0.319	0.715	0.212	0.408	0.279
497	CARE-CT Microsoft Research India 8/8/2026	0.319	0.696	0.353	0.380	0.366
498	voxtell-hz Fudan University 9/11/2026	0.319	0.730	0.291	0.407	0.339
499	selector Friedrich-Alexander-Universität Erlangen-Nürnberg 8/20/2026	0.319	0.704	0.154	0.456	0.230
500	cfv3_restart4k_U05k Siemens Healthineers 9/14/2026	0.319	0.734	0.160	0.433	0.234
501	rb1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/10/2026	0.319	0.710	0.122	0.477	0.194
502	cfv3_U02k Siemens Healthineers 9/13/2026	0.319	0.734	0.171	0.430	0.244
503	TAGS Netherlands Cancer Institute 8/13/2026	0.319	0.725	0.146	0.463	0.222
504	V++_a2 Siemens Healthineers 9/6/2026	0.319	0.710	0.132	0.441	0.203
505	Farm-Best-Hz-7 Fudan University 9/9/2026	0.319	0.725	0.291	0.408	0.340
506	VoXTell_2.2 Seoul National University 8/18/2026	0.319	0.716	0.182	0.407	0.252
507	VoXTell_2.3_t Seoul National University 8/21/2026	0.319	0.716	0.182	0.407	0.252
508	VoXTell_1.2_clsaux Seoul National University 8/13/2026	0.319	0.715	0.190	0.400	0.258
509	ign1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/11/2026	0.319	0.708	0.123	0.490	0.197
510	rescue3 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/19/2026	0.319	0.706	0.148	0.468	0.225
511	VoXTell_2.1_hu Seoul National University 8/18/2026	0.318	0.715	0.180	0.409	0.250
512	enclora1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.318	0.703	0.129	0.472	0.203
513	ThoraxTell 1.1 German Cancer Research Center 8/18/2026	0.318	0.716	0.141	0.452	0.215
514	VoxTell_v9dsaug Hamad Bin Khalifa University 9/6/2026	0.318	0.674	0.172	0.409	0.242
515	igra1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/11/2026	0.318	0.708	0.120	0.476	0.192
516	fa1p0 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.318	0.698	0.132	0.466	0.206
517	crowd b Friedrich-Alexander-Universität Erlangen-Nürnberg 9/6/2026	0.318	0.708	0.117	0.472	0.188
518	SJTU426Lab-v11 Shanghai Jiao Tong University 9/2/2026	0.317	0.711	0.133	0.486	0.209
519	ECCVrejected2 Yonsei University NewcureM 8/17/2026	0.317	0.710	0.216	0.384	0.277
520	selector focal Friedrich-Alexander-Universität Erlangen-Nürnberg 8/25/2026	0.317	0.715	0.105	0.468	0.171
521	baseline3 Yonsei University NewcureM 8/16/2026	0.317	0.722	0.195	0.428	0.268
522	needfirstplace_v1.16 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/9/2026	0.317	0.696	0.119	0.415	0.186
523	Farm-Best-HZ-10 Fudan University 9/10/2026	0.317	0.718	0.291	0.398	0.336
524	rescue Friedrich-Alexander-Universität Erlangen-Nürnberg 8/18/2026	0.317	0.708	0.154	0.455	0.231
525	Grounder Gachon University MEDAI 7/12/2026	0.316	0.703	0.212	0.413	0.280
526	baseline9 Yonsei University NewcureM 8/23/2026	0.316	0.704	0.238	0.389	0.295
527	UShanghaiTech United Imaging Intelligence ShanghaiTech University Zhongshan Hospital 8/6/2026	0.316	0.696	0.233	0.390	0.292
528	dec2 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.316	0.704	0.125	0.462	0.197
529	tv28_U21k Siemens Healthineers 9/13/2026	0.316	0.715	0.163	0.420	0.235
530	V++_c2 Siemens Healthineers 9/7/2026	0.316	0.716	0.147	0.428	0.218
531	needfirstplace_v1.1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.316	0.701	0.118	0.415	0.184
532	test Seoul National University 8/25/2026	0.316	0.715	0.198	0.405	0.266
533	V++_a1 Siemens Healthineers 9/6/2026	0.316	0.706	0.122	0.441	0.192
534	curi1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/11/2026	0.316	0.710	0.122	0.465	0.193
535	needfirstplace_v1.11 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.316	0.701	0.119	0.415	0.185
536	needfirstplace_v1.08 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.315	0.699	0.117	0.417	0.182
537	SJTU426Lab-V12 Shanghai Jiao Tong University 9/10/2026	0.315	0.689	0.166	0.435	0.240
538	VoXTell_1.3 Seoul National University 8/18/2026	0.315	0.696	0.192	0.405	0.260
539	needfirstplace_v1.13 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.315	0.703	0.119	0.415	0.185
540	hn1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.315	0.689	0.135	0.458	0.208
541	needfirstplace_v1.14 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.315	0.703	0.120	0.417	0.186
542	VoxFiLm_v29/14/2026	0.315	0.708	0.115	0.436	0.181
543	IMRVox-Base3 Shanghai Jiao Tong University 8/31/2026	0.315	0.706	0.264	0.418	0.324
544	needfirstplace_v1.12 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.315	0.701	0.119	0.415	0.185
545	needfirstplace_v1.15 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/9/2026	0.315	0.701	0.119	0.413	0.185
546	baseline6 Yonsei University NewcureM 8/21/2026	0.315	0.715	0.232	0.399	0.293
547	JECT_f Seoul National University 8/10/2026	0.315	0.734	0.266	0.385	0.315
548	test2 Seoul National University 8/25/2026	0.315	0.715	0.204	0.399	0.270
549	baseline8 Yonsei University NewcureM 8/21/2026	0.315	0.713	0.368	0.330	0.348
550	IMRVox-0902-1 Shanghai Jiao Tong University 9/2/2026	0.314	0.689	0.307	0.394	0.345
551	needfirstplace_v1.09 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/8/2026	0.314	0.692	0.118	0.412	0.183
552	IMRVox-Base2 Shanghai Jiao Tong University 8/31/2026	0.314	0.706	0.141	0.425	0.211
553	IMRVox-Base Shanghai Jiao Tong University 8/27/2026	0.314	0.696	0.277	0.418	0.333
554	ECCVrejected Yonsei University NewcureM 8/17/2026	0.314	0.701	0.230	0.370	0.284
555	IMRVox1 Shanghai Jiao Tong University 9/1/2026	0.314	0.706	0.292	0.398	0.337
556	U11000_tv_native_v1 Siemens Healthineers 9/12/2026	0.313	0.699	0.174	0.412	0.245
557	rescue 5 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/20/2026	0.313	0.698	0.152	0.453	0.227
558	baseline5 Yonsei University NewcureM 8/20/2026	0.313	0.716	0.205	0.400	0.272
559	C2-VoxTell Final9/14/2026	0.313	0.708	0.146	0.408	0.215
560	VoXTell_1.0 Seoul National University 8/10/2026	0.312	0.699	0.153	0.416	0.224
561	Farm-Best-HZ-6 Fudan University 9/7/2026	0.312	0.716	0.291	0.395	0.335
562	FarmAdd100-LateRefine60_40-TTA3 Final Fudan University 9/7/2026	0.312	0.716	0.291	0.395	0.335
563	U11000_tv_native_v2 Siemens Healthineers 9/12/2026	0.312	0.698	0.175	0.410	0.245
564	V++_c3 Siemens Healthineers 9/7/2026	0.312	0.722	0.144	0.430	0.216
565	Farm-Best-Siyu-9 Fudan University 9/13/2026	0.312	0.711	0.276	0.389	0.323
566	Farm-Best-Siyu-10 Fudan University 9/13/2026	0.312	0.711	0.276	0.389	0.323
567	VoXTell_3.0_dual Seoul National University 8/19/2026	0.312	0.710	0.164	0.422	0.236
568	VoxTell_Supreme_11M_Hybrid_V8_1 Hamad Bin Khalifa University 9/3/2026	0.312	0.674	0.248	0.403	0.307
569	baseline_plus_re Siemens Healthineers 9/3/2026	0.312	0.710	0.140	0.434	0.212
570	fresh1 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/14/2026	0.312	0.710	0.098	0.499	0.163
571	VoxTell_Supreme_11M_Hybrid_V8 Hamad Bin Khalifa University 9/2/2026	0.311	0.672	0.249	0.407	0.309
572	2s-cg-k3_15-emph VoxNormal Friedrich-Alexander-Universität Erlangen-Nürnberg 8/17/2026	0.311	0.701	0.154	0.453	0.230
573	VoxTell_Supreme_11M_Hybrid_V2 Hamad Bin Khalifa University 8/26/2026	0.311	0.674	0.264	0.397	0.317
574	A1 LFAI 9/13/2026	0.310	0.680	0.108	0.450	0.174
575	VoxTell_Supreme_11M_Hybrid_V1 Hamad Bin Khalifa University 8/25/2026	0.310	0.679	0.258	0.388	0.310
576	VoXTell_3.1_dualsep Seoul National University 8/19/2026	0.310	0.698	0.170	0.406	0.239
577	fresh1b40 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/13/2026	0.310	0.706	0.098	0.497	0.164
578	2s-cg-k3_15 VoxNormal Friedrich-Alexander-Universität Erlangen-Nürnberg 8/15/2026	0.310	0.698	0.131	0.454	0.203
579	A2 LFAI 9/14/2026	0.310	0.708	0.088	0.501	0.150
580	baseline10000_0.5 Yonsei University NewcureM 8/17/2026	0.310	0.696	0.236	0.370	0.288
581	baseline4 Yonsei University NewcureM 8/18/2026	0.310	0.704	0.235	0.389	0.293
582	JECT_base Seoul National University 7/15/2026	0.309	0.720	0.242	0.382	0.296
583	TAGS Netherlands Cancer Institute 8/9/2026	0.309	0.711	0.145	0.437	0.218
584	CALM Final University of Ulsan 9/13/2026	0.308	0.682	0.143	0.445	0.216
585	VT++_raw Siemens Healthineers 9/3/2026	0.308	0.699	0.130	0.431	0.200
586	2s-cg-k3_2 VoxNormal Friedrich-Alexander-Universität Erlangen-Nürnberg 8/14/2026	0.308	0.698	0.127	0.448	0.198
587	baseline7 Yonsei University NewcureM 8/21/2026	0.308	0.698	0.351	0.324	0.337
588	VoXTell-FT_LF-Pres6-Loose-NoRoute Hamad Bin Khalifa University 8/18/2026	0.307	0.674	0.157	0.450	0.232
589	VoXTell-FT_LF-KFold10-LatGate Hamad Bin Khalifa University 9/1/2026	0.307	0.668	0.220	0.413	0.287
590	VoxTell_Supreme_11M_Hybrid_V6 Hamad Bin Khalifa University 9/1/2026	0.307	0.665	0.259	0.388	0.310
591	2s-cg-k3_25 VoxNormal Friedrich-Alexander-Universität Erlangen-Nürnberg 8/14/2026	0.307	0.694	0.127	0.453	0.199
592	FARM-Best-Siyu-7 Fudan University 9/9/2026	0.306	0.703	0.272	0.393	0.322
593	VoXTell-FT_LF-KFold5-Low-LatGate Hamad Bin Khalifa University 8/20/2026	0.306	0.665	0.216	0.404	0.281
594	CALM_v4 University of Ulsan 9/14/2026	0.306	0.696	0.133	0.455	0.205
595	VoxTell_FT-Hybrid-V2-Repaired_1 Hamad Bin Khalifa University 8/23/2026	0.305	0.675	0.229	0.421	0.297
596	Farm-Best-Siyu-4 Fudan University 8/27/2026	0.305	0.711	0.140	0.410	0.209
597	needfirstplace_v1.06 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/7/2026	0.305	0.680	0.109	0.410	0.172
598	VoXTell-FT_LF-KFold5-Low Hamad Bin Khalifa University 8/20/2026	0.305	0.663	0.211	0.404	0.277
599	VoXTell-FT_LF-KFold5-LS008-LatGate Hamad Bin Khalifa University 8/29/2026	0.305	0.663	0.218	0.404	0.283
600	VoxTell_Supreme_11M_Hybrid_V3 Hamad Bin Khalifa University 8/27/2026	0.304	0.662	0.254	0.382	0.305
601	VoXTell-FT_LF-Pres6-NoRoute Hamad Bin Khalifa University 8/18/2026	0.304	0.675	0.188	0.427	0.261
602	SJTU426Lab-V10 Shanghai Jiao Tong University 8/31/2026	0.304	0.710	0.123	0.489	0.196
603	needfirstplace_v1.07 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/7/2026	0.303	0.674	0.109	0.408	0.172
604	VoXTell-FT_LF-KFold5-Hit Hamad Bin Khalifa University 8/20/2026	0.303	0.670	0.202	0.419	0.273
605	VoXTell-FT_LF-KFold5-VL Hamad Bin Khalifa University 8/20/2026	0.303	0.655	0.224	0.399	0.287
606	VoXTell-FT_LF-Pres6 Hamad Bin Khalifa University 8/17/2026	0.302	0.672	0.196	0.424	0.268
607	VoXTell-FT_LF-KFold5-Guarded Hamad Bin Khalifa University 8/20/2026	0.302	0.658	0.205	0.399	0.271
608	VoXTell_FT_LF-Diffuse-Aware-V1 Hamad Bin Khalifa University 8/24/2026	0.302	0.675	0.153	0.428	0.226
609	Farm-Best-Siyu-5 Fudan University 8/29/2026	0.301	0.699	0.138	0.393	0.205
610	V++_c1 Siemens Healthineers 9/7/2026	0.301	0.708	0.127	0.431	0.197
611	2s-cg-k3 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/13/2026	0.300	0.701	0.113	0.435	0.180
612	Vox-Normal-LV2 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/10/2026	0.300	0.708	0.091	0.446	0.152
613	needfirstplace_v1.05 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/7/2026	0.300	0.653	0.107	0.398	0.169
614	MICLAB_VoXTell-B36k University of Campinas 9/13/2026	0.299	0.682	0.132	0.462	0.205
615	2sk3 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/12/2026	0.299	0.696	0.121	0.432	0.188
616	e2edq Final Kosin University Gospel Hospital 9/14/2026	0.299	0.701	0.128	0.389	0.193
617	VoxTell_KFold0_Selective_Guidance_V1 Hamad Bin Khalifa University 8/31/2026	0.299	0.649	0.224	0.397	0.286
618	needfirstplace_v1.04 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/7/2026	0.299	0.656	0.111	0.421	0.176
619	2sk3_0.4 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/13/2026	0.299	0.689	0.131	0.418	0.200
620	MUW-GroundCT-v3 Medical University of Vienna 7/20/2026	0.298	0.692	0.183	0.416	0.254
621	ThoraxTell German Cancer Research Center 7/8/2026	0.298	0.686	0.104	0.448	0.169
622	VoxTell_5Fold_Selective_Guidance_V1 Hamad Bin Khalifa University 8/31/2026	0.298	0.649	0.237	0.381	0.293
623	Vox-Normal-LV Friedrich-Alexander-Universität Erlangen-Nürnberg 8/9/2026	0.297	0.704	0.085	0.466	0.143
624	VoxTell_Supreme_11M_Hybrid_V5 Hamad Bin Khalifa University 8/30/2026	0.297	0.662	0.261	0.377	0.309
625	VoxFiLM-v18/18/2026	0.297	0.696	0.124	0.438	0.193
626	needfirstplace_v1.03 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/7/2026	0.297	0.651	0.103	0.415	0.165
627	TAGS Netherlands Cancer Institute 8/9/2026	0.297	0.708	0.117	0.460	0.186
628	Farm-Best-HZ-2 Fudan University 8/21/2026	0.296	0.686	0.245	0.379	0.297
629	E2EV19 Kosin University Gospel Hospital 9/11/2026	0.296	0.692	0.130	0.383	0.194
630	SJTU426Lab-V5naive Shanghai Jiao Tong University 8/28/2026	0.296	0.672	0.112	0.441	0.179
631	VoXTell-FT_LF Hamad Bin Khalifa University 7/29/2026	0.296	0.656	0.127	0.446	0.198
632	Farm-Best-HZ-3 Fudan University 8/24/2026	0.296	0.682	0.255	0.369	0.302
633	TAGS Netherlands Cancer Institute 8/3/2026	0.296	0.706	0.131	0.433	0.201
634	FARM-Siyu-Best-Hyper-V2 Fudan University 8/14/2026	0.295	0.684	0.104	0.418	0.166
635	Vox-Normal Friedrich-Alexander-Universität Erlangen-Nürnberg 8/9/2026	0.294	0.706	0.084	0.483	0.143
636	VoxTell-SC-Hybrid-V1 Hamad Bin Khalifa University 8/20/2026	0.294	0.667	0.189	0.436	0.264
637	VoXTell-FT-B24k-Anatomy University of Campinas 8/3/2026	0.294	0.679	0.111	0.446	0.178
638	ISOMAPv2 United Imaging Intelligence ShanghaiTech University Zhongshan Hospital 7/29/2026	0.294	0.672	0.243	0.373	0.295
639	VT-FT-v2 Muroran Institute of Technology 9/13/2026	0.293	0.653	0.094	0.415	0.154
640	e2emix Kosin University Gospel Hospital 9/10/2026	0.293	0.692	0.166	0.388	0.232
641	needfirstplace_v1.02 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/6/2026	0.293	0.656	0.100	0.410	0.160
642	IMRPhraseVox-2 Shanghai Jiao Tong University 8/27/2026	0.293	0.684	0.293	0.374	0.329
643	FARM-Siyu-Best-Hyper Fudan University 8/10/2026	0.292	0.689	0.097	0.421	0.157
644	SJTU426Lab-V5censored Shanghai Jiao Tong University 8/28/2026	0.292	0.684	0.096	0.468	0.159
645	2sk3_0.5 Friedrich-Alexander-Universität Erlangen-Nürnberg 8/13/2026	0.290	0.662	0.141	0.394	0.208
646	IMRPhraseVox Shanghai Jiao Tong University 8/25/2026	0.289	0.667	0.271	0.361	0.309
647	VoxTell_FT-Hybrid-V2-Repaired Hamad Bin Khalifa University 8/23/2026	0.288	0.698	0.212	0.433	0.284
648	VT-FT-v3 Final Muroran Institute of Technology 9/13/2026	0.287	0.674	0.112	0.398	0.175
649	VoXTell-FT-B6000-Anatomy University of Campinas 7/30/2026	0.286	0.655	0.101	0.438	0.164
650	TAGS Netherlands Cancer Institute 7/29/2026	0.286	0.698	0.110	0.433	0.176
651	needfirstplace_v1.01 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/6/2026	0.286	0.637	0.139	0.387	0.205
652	CALM_v3 University of Ulsan 9/14/2026	0.286	0.634	0.138	0.431	0.209
653	IMRVox Shanghai Jiao Tong University 8/27/2026	0.285	0.663	0.302	0.345	0.322
654	Voxtell_finetue Final AMC 9/14/2026	0.285	0.649	0.113	0.440	0.180
655	Unnamed model (oxgBqX) University of Ulsan 9/14/2026	0.285	0.658	0.118	0.459	0.187
656	test Seoul National University 8/10/2026	0.285	0.679	0.195	0.359	0.253
657	JECT_revert336_1p0mm Seoul National University 8/13/2026	0.284	0.680	0.157	0.372	0.221
658	pbe2epure Kosin University Gospel Hospital 9/9/2026	0.283	0.682	0.107	0.405	0.170
659	VT-FT-v1 Muroran Institute of Technology 9/14/2026	0.281	0.653	0.101	0.392	0.160
660	baseline Yonsei University NewcureM 8/2/2026	0.281	0.663	0.112	0.420	0.177
661	baseline2 Yonsei University NewcureM 8/3/2026	0.281	0.663	0.112	0.420	0.177
662	VoXTell-FT Hamad Bin Khalifa University 7/5/2026	0.280	0.658	0.105	0.461	0.171
663	V5 Mohamed bin Zayed University of Artificial Intelligence 9/12/2026	0.279	0.612	0.152	0.324	0.207
664	B3_S1_lobeROI_resample_raw Siemens Healthineers 9/10/2026	0.278	0.668	0.089	0.443	0.148
665	PBbe2e Kosin University Gospel Hospital 9/9/2026	0.277	0.662	0.182	0.339	0.237
666	MMM final Microsoft Research 9/13/2026	0.276	0.667	0.161	0.374	0.225
667	MMM Final Microsoft Research 9/2/2026	0.275	0.677	0.156	0.395	0.224
668	CoRaL_Crops Hamad Bin Khalifa University 8/2/2026	0.275	0.584	0.325	0.298	0.311
669	Jolia-Loc-v0.1 Raidium 8/24/2026	0.275	0.660	0.147	0.361	0.209
670	VoXTell-FT-B1000-Anatomy University of Campinas 7/26/2026	0.274	0.612	0.089	0.394	0.145
671	needfirstplace_v1.0 Friedrich-Alexander-Universität Erlangen-Nürnberg 9/6/2026	0.274	0.612	0.126	0.374	0.188
672	V6 Final Mohamed bin Zayed University of Artificial Intelligence 9/14/2026	0.274	0.601	0.165	0.304	0.214
673	MUW-GroundCT-v2 Medical University of Vienna 7/7/2026	0.272	0.643	0.206	0.375	0.265
674	FARM-Siyu-First Fudan University 8/6/2026	0.272	0.643	0.052	0.413	0.093
675	FARM-Siyu-Second Fudan University 8/7/2026	0.272	0.658	0.086	0.463	0.145
676	CoRaL Hamad Bin Khalifa University 8/2/2026	0.271	0.576	0.246	0.303	0.272
677	Voxtell-FT Final Korea University 7/25/2026	0.269	0.662	0.126	0.396	0.191
678	voxtell_valadapt_all200_e3_t075 Final Northwestern Polytechnical University 8/12/2026	0.267	0.646	0.085	0.442	0.142
679	voxtell_valadapt_all200_e3_t075_gate1c_t030 Northwestern Polytechnical University 8/16/2026	0.267	0.648	0.083	0.442	0.140
680	deepset9/14/2026	0.267	0.644	0.278	0.354	0.311
681	Unnamed model (2kb0p8) Final9/14/2026	0.267	0.644	0.278	0.354	0.311
682	VoXTell-FT-Anatomy University of Campinas 7/23/2026	0.267	0.605	0.076	0.397	0.128
683	nninteractive Northwestern Polytechnical University 8/7/2026	0.266	0.619	0.103	0.352	0.159
684	Unnamed model (rt1JZx) Northwestern Polytechnical University 7/27/2026	0.266	0.620	0.101	0.357	0.158
685	e6_rescue_2a2c2d Northwestern Polytechnical University 8/3/2026	0.263	0.622	0.201	0.347	0.255
686	e1_rescue_1c2a2c2d Northwestern Polytechnical University 8/3/2026	0.263	0.620	0.201	0.347	0.255
687	w100_raw9/14/2026	0.261	0.644	0.103	0.417	0.166
688	VoxTell-FT University of Campinas 7/20/2026	0.259	0.600	0.072	0.402	0.123
689	e2eunetfine Kosin University Gospel Hospital 9/9/2026	0.258	0.624	0.092	0.384	0.149
690	MedSigLIP_SiamGround_Ens_gated Final Robert Gordon University 9/14/2026	0.256	0.648	0.125	0.322	0.180
691	QWen3_v2 Northwestern Polytechnical University 7/30/2026	0.256	0.588	0.141	0.285	0.189
692	voxtell_e005_vocomni_e6 Northwestern Polytechnical University 8/19/2026	0.256	0.588	0.141	0.285	0.189
693	FindingNemo_oemer Friedrich-Alexander-Universität Erlangen-Nürnberg 9/5/2026	0.254	0.608	0.132	0.377	0.195
694	needfirstplace Friedrich-Alexander-Universität Erlangen-Nürnberg 9/5/2026	0.254	0.595	0.154	0.363	0.216
695	2e2unetpure Kosin University Gospel Hospital 9/9/2026	0.252	0.627	0.103	0.408	0.164
696	Jolia-Loc-v0 Raidium 8/20/2026	0.250	0.595	0.226	0.274	0.247
697	GroundXpert-CT Final University of Birmingham 9/11/2026	0.249	0.545	0.095	0.301	0.144
698	MedSigLIP_SiamGround_25d_gated Robert Gordon University 9/14/2026	0.249	0.648	0.106	0.360	0.164
699	GroundXpert-CT University of Birmingham 9/11/2026	0.249	0.541	0.095	0.300	0.145
700	GroundXpert-CT University of Birmingham 9/10/2026	0.247	0.536	0.093	0.297	0.142
701	Ganfx Final University of Cambridge 9/14/2026	0.246	0.529	0.091	0.298	0.140
702	GroundXpert-CT University of Birmingham 9/10/2026	0.246	0.538	0.095	0.298	0.144
703	JECT Seoul National University 7/6/2026	0.241	0.622	0.194	0.316	0.241
704	SJTU426Lab-v176 Shanghai Jiao Tong University 8/22/2026	0.239	0.560	0.225	0.285	0.251
705	GroundXpert-CT University of Birmingham 9/9/2026	0.238	0.531	0.089	0.302	0.138
706	V4 Mohamed bin Zayed University of Artificial Intelligence 9/10/2026	0.238	0.529	0.145	0.293	0.194
707	MUW-GroundCT Medical University of Vienna 7/8/2026	0.237	0.582	0.139	0.318	0.193
708	Farm-Siyu-Best-6 Fudan University 9/7/2026	0.235	0.567	0.220	0.314	0.259
709	e2ecordinate Kosin University Gospel Hospital 9/6/2026	0.232	0.600	0.100	0.402	0.160
710	2e2mix Kosin University Gospel Hospital 9/7/2026	0.231	0.584	0.087	0.338	0.138
711	rexgct_178_all200_ema The Chinese University of Hong Kong 9/14/2026	0.230	0.514	0.090	0.290	0.137
712	rexgct_178_all200_ema_protected023 Final The Chinese University of Hong Kong 9/14/2026	0.230	0.517	0.110	0.296	0.161
713	e2e Kosin University Gospel Hospital 9/8/2026	0.230	0.591	0.095	0.381	0.152
714	COLIPRI Microsoft Research 8/14/2026	0.229	0.624	0.217	0.341	0.266
715	VoXTell_4.0_global Seoul National University 8/21/2026	0.229	0.565	0.306	0.232	0.264
716	voxpr Final Hangzhou Dianzi University 9/3/2026	0.226	0.562	0.106	0.289	0.155
717	GroundXpert-CT University of Birmingham 9/9/2026	0.221	0.507	0.084	0.318	0.132
718	Swin-X Final University of Birmingham 9/14/2026	0.221	0.507	0.084	0.318	0.132
719	VoxTell Prompt Aug. Final Ant Group 8/27/2026	0.220	0.510	0.105	0.277	0.152
720	SJTU Final Independent 9/14/2026	0.218	0.471	0.066	0.286	0.107
721	VT-zero Final Asan Medical Center 9/8/2026	0.217	0.507	0.069	0.257	0.109
722	final submission Pontificia Universidad Católica de Chile 9/13/2026	0.215	0.533	0.100	0.262	0.145
723	e2etrain Kosin University Gospel Hospital 9/6/2026	0.215	0.562	0.088	0.331	0.139
724	rexgct_023 The Chinese University of Hong Kong 8/24/2026	0.215	0.493	0.104	0.259	0.149
725	Voxtell_phase_3_exp_001_v2 Final Pontificia Universidad Católica de Chile 9/10/2026	0.214	0.524	0.103	0.275	0.150
726	GroundXpert-CT V3 University of Birmingham 9/8/2026	0.212	0.462	0.063	0.281	0.103
727	VoxTell-ZS + orientation correction Final University of California, San Francisco 8/14/2026	0.210	0.485	0.080	0.250	0.121
728	VoxTell_001 Bangladesh University of Engineering and Technology 9/9/2026	0.210	0.486	0.080	0.250	0.122
729	VoxTell_0001 Final Bangladesh University of Engineering and Technology 9/9/2026	0.210	0.486	0.080	0.250	0.122
730	phase2b_offtheshelf_test_submission Pontificia Universidad Católica de Chile 9/13/2026	0.209	0.491	0.079	0.249	0.120
731	COLIPRI Microsoft Research 8/9/2026	0.205	0.570	0.182	0.336	0.236
732	baseline Yonsei University NewcureM 8/1/2026	0.196	0.514	0.044	0.395	0.079
733	SLR3D Final Independent 8/11/2026	0.194	0.541	0.057	0.338	0.098
734	TextSwinUNETR-baseline Final Erasmus University 8/11/2026	0.194	0.495	0.191	0.221	0.205
735	SLR3D Independent 8/6/2026	0.192	0.545	0.048	0.352	0.085
736	MUW-Text2UNet-v2 Medical University of Vienna 7/8/2026	0.188	0.519	0.081	0.332	0.130
737	ConTEXTual Net CT - 1 Final University of Wisconsin–Madison 8/26/2026	0.183	0.490	0.083	0.252	0.125
738	Rex—CT Final Sichuan University of Science & Engineering 9/13/2026	0.179	0.400	0.055	0.233	0.089
739	GroundXpert-CT University of Birmingham 9/7/2026	0.179	0.400	0.055	0.233	0.089
740	zeroshot Kosin University Gospel Hospital 9/6/2026	0.176	0.438	0.062	0.267	0.101
741	VoXTell-FT Hamad Bin Khalifa University 7/8/2026	0.174	0.416	0.031	0.351	0.057
742	FARM-VoxTell-FT-Test Fudan University 7/16/2026	0.165	0.435	0.039	0.294	0.070
743	FARM-VoxTell-FT Fudan University 7/8/2026	0.165	0.435	0.039	0.294	0.070
744	Voxtell_naive_finetuning_001 Pontificia Universidad Católica de Chile 8/31/2026	0.160	0.409	0.086	0.247	0.127
745	GroundXpert-CT University of Birmingham 9/6/2026	0.157	0.376	0.056	0.208	0.088
746	Text-Swin CT Final Nagoya University 9/13/2026	0.157	0.376	0.056	0.208	0.088
747	TextUNet3D-Ground_v2 Final Bangladesh University of Engineering and Technology 8/30/2026	0.154	0.471	0.166	0.180	0.173
748	SAT Fudan University 8/11/2026	0.154	0.376	0.092	0.219	0.129
749	FARM-VoxTell-FT-HZ-3 Fudan University 7/22/2026	0.153	0.433	0.041	0.308	0.072
750	FARM-VoxTell-FT-HZ-2 Fudan University 7/21/2026	0.146	0.426	0.049	0.291	0.084
751	FARM-VoxTell-FT-HZ Fudan University 7/20/2026	0.146	0.426	0.049	0.291	0.084
752	Voxtell_LoRA_916k Final Technical University of Munich 9/11/2026	0.146	0.419	0.029	0.348	0.054
753	V3 Mohamed bin Zayed University of Artificial Intelligence 9/7/2026	0.143	0.357	0.038	0.191	0.063
754	VT-1 Asan Medical Center 9/14/2026	0.137	0.369	0.048	0.292	0.082
755	phase_3_exp_002_mean_teacher Pontificia Universidad Católica de Chile 9/2/2026	0.121	0.320	0.028	0.501	0.052
756	Unnamed model (FatpLa) Fudan University 8/5/2026	0.118	0.308	0.076	0.196	0.109
757	voxtell_v1.1_zeroshot_test_submission Pontificia Universidad Católica de Chile 8/12/2026	0.111	0.289	0.063	0.156	0.090
758	TextUNet3D-Ground Bangladesh University of Engineering and Technology 8/28/2026	0.109	0.326	0.119	0.143	0.130
759	MUW-Text2UNet Medical University of Vienna 7/8/2026	0.108	0.309	0.024	0.235	0.044
760	V2 Mohamed bin Zayed University of Artificial Intelligence 8/29/2026	0.095	0.232	0.055	0.134	0.078
761	vocal-v1 Mohamed bin Zayed University of Artificial Intelligence 8/22/2026	0.095	0.241	0.053	0.141	0.077
762	VoXTell-FT_LF-Hybrid-CC-NoRoute Hamad Bin Khalifa University 8/18/2026	0.090	0.232	0.017	0.111	0.029
763	phase5_exp001_posthoc_top10_submission.zip Pontificia Universidad Católica de Chile 9/12/2026	0.085	0.253	0.029	0.177	0.050
764	VoxTell zero-shot (verbatim prompts) UCSF University of California, San Francisco 8/10/2026	0.051	0.144	0.050	0.092	0.065
765	Exp 002 - Spatial Prior Quantile Baseline Pontificia Universidad Católica de Chile 8/10/2026	0.018	0.065	0.001	0.012	0.002
766	Voxtell_LoRA_916k Technical University of Munich 9/11/2026	0.004	0.009	0.000	0.006	0.001

Register & Submit

Challenge submissions closed on September 14, 2026. The benchmark remains open: to submit a new model, register and upload on the ReXGroundingCT leaderboard, where it is evaluated on the same 300-case test set.

About the Challenge

The ReXGrounding Challenge is a MICCAI 2026 challenge designed to evaluate models on localizing unconstrained radiology findings described in natural language to precise 3D segmentation masks in volumetric chest CT.

Unlike prior challenges that focus on category-level lesion or organ segmentation, this benchmark requires models to interpret diverse clinical language — including anatomical descriptors, spatial relations, and morphological attributes — and ground it accurately in volumetric space. The dataset includes both focal and diffuse abnormalities, spans a wide range of radiological patterns, and reflects real-world reporting variability.

The challenge is built upon CT-RATE, a large-scale dataset of non-contrast chest CT scans paired with free-text radiology reports, and is further extended with expert-verified, pixel-level 3D segmentations corresponding to individual report findings. The challenge is hosted on the ReXrank leaderboard.

Task

Participants are evaluated on free-text finding grounding: a model receives a CT volume and a natural-language finding from a radiology report and must output a 3D segmentation mask corresponding to that description. The challenge is organized into two tracks: a Main track that consumes the free-text finding directly, and a more general Overall track (see Challenge Tracks below). In both tracks, fixed-category (class-based) segmentation that cannot separate two findings in different locations is out of scope and will be disqualified.

Findings span 14 categories covering both typically non-focal abnormalities (bronchial wall thickening, bronchiectasis, emphysema, septal thickening, micronodules, and other diffuse abnormalities) and typically focal abnormalities (linear opacities, atelectasis/consolidation, ground-glass opacities, pulmonary nodules/masses, pleural effusion/thickening, honeycombing, pneumothorax, and other focal findings).

Challenge Tracks

The challenge is structured around two tracks, each with its own set of winners. Every eligible Main-track submission is automatically considered for the Overall track as well, so a strong free-text method can place in both.

1. Main Track: Free-Text Grounding. Methods in this track must consume the exact free-text finding as provided, conditioning the segmentation directly on that text (e.g., as a text embedding). The raw prompt is not rewritten into a structured representation before it reaches the model. This is the original goal of the challenge: flexible models that ground free-text findings natively.

2. Overall Track: Free-Text & Structured. This more general track admits both free-text methods and methods that transform the free-text finding into a structured representation (for example, parsing out location, morphology, or size with an LLM or text parser) and condition on that structured form. Every eligible Main-track submission is automatically considered here too, so a strong free-text method can place in both.

In both tracks, a model must take in more than just the finding itself as a prompt (a prompt cannot simply be “nodule”), and must be able to produce distinct segmentation masks for two findings in separate locations.

Category information (both tracks). Using a finding's category as an auxiliary signal is permitted in either track, whether the category is provided as part of the official test input or inferred from the free-text prompt (e.g., via a prompt-to-category classifier). For the Main track, the only requirement is that the exact free-text finding is still consumed directly by the model; the category supplements it rather than replaces it.

Also permitted (both tracks).

Anatomical segmentations (lobes, lung, pleura, etc.) as additional input channels or spatial constraints for a text-grounded prediction.
Post-processing of a text-grounded prediction, such as restricting the mask to the anatomical region named in the finding.

A quick illustration.

Allowed (Main track): encode “small nodule in the right upper lobe” as a text embedding, condition the segmentation on it, optionally add the inferred category “nodule” as an auxiliary input, and constrain the output to the right upper lobe.
Allowed (Overall track only): parse the same finding into {location: right upper lobe, morphology: nodular, size: small} and condition on those structured fields instead of the raw text embedding.
Out of scope (both tracks): output a fixed set of class masks and select “nodule” by label, with no way to separate two nodules in different locations.

There will be three winners across the two tracks. Because Main-track methods are also considered for the Overall track, all three could end up being the same methods.

Dataset

Split	Cases	Annotations
Training	2,992 CT scans	Partial-instance (up to 3 instances per finding)
Validation	200 CT scans	Exhaustive (all instances segmented by radiologists)
Test	300 CT scans	Exhaustive (all instances segmented by radiologists)

All annotations are pixel-level 3D segmentation masks linked to free-text findings extracted from radiology reports. Validation and test sets are annotated exclusively by board-certified radiologists.

Timeline

Until June 2026

Pre-registration — training data publicly available

June 2026

Challenge launched — registration open, test set released

June — September 14, 2026

Submission phase — teams submitted multiple runs, each evaluated on the held-out test set

September 14, 2026

Submission deadline, 11:59 PM Boston / Eastern Time (ET) — final leaderboard standings locked as the official results

Late September 2026

Results announced & challenge session at MICCAI 2026

Evaluation Metrics

Ranking metric: Average Dice Similarity Coefficient (DSC) per finding per case.

Overlap-based metrics:

Dice (primary): Average DSC computed per finding per case
Hit Rate: Proportion of findings where overall Dice ≥ 0.1
Instance Precision: TP / (TP + FP), where TP is a predicted instance with Dice ≥ 0.2
Instance Recall: TP / (TP + FN)
Instance F1: Harmonic mean of Instance Precision and Recall

Distance-based metrics:

Distance Precision: TP / (TP + FP), where TP is a predicted instance with ASSD (non-focal) or centroid distance (focal) ≤ 2× max voxel spacing
Distance Recall: TP / (TP + FN), using the same distance matching criterion
Distance F1: Harmonic mean of Distance Precision and Recall

How to Participate

Challenge submissions are closed. The benchmark remains open on the ReXGroundingCT leaderboard.
Training and validation data are publicly available — you can start developing and evaluating your method now.
Any publicly available or private training data, including pre-trained models and external datasets, may be used. All external data sources must be described in the method submission.
All predictions on the test set must be fully automatic — no manual intervention, post-hoc editing, or case-specific tuning allowed.
Free-text grounding only — categorical segmentation is disqualified. Your model must take each test finding's free-text prompt exactly as provided (as-is) and segment the specific finding that text describes. Methods that ignore, rewrite, or map the prompts to a fixed set of classes — i.e. that perform category-based segmentation rather than grounding the free text — will be disqualified if determined to do so.
You can submit multiple runs; each is evaluated on the held-out test set and shown on the leaderboard. Your best submission before the deadline is your official result.
See the submission guidelines for format details.

Awards & Publication

The challenge has two tracks (Main and Overall), each with its own winners; every Main-track submission is automatically eligible for the Overall track (see Challenge Tracks).
Top performing teams in each track will receive certificates and invited oral/spotlight presentations at the challenge session.
Winning teams will be recognized on the public leaderboard and in the post-challenge publication.
Members of the winning teams qualify for co-authorship on the challenge publication (up to 8 authors per team).
All teams are free to publish their own results independently with no embargo period.

Organizers

Mohammed Baharoon — Harvard Medical School, USA
Pranav Rajpurkar — Harvard Medical School, USA
Luyang Luo — Harvard Medical School, USA
Xiaoman Zhang — Harvard Medical School, USA
Mahmoud Hussain Alabbad — King Fahad Hospital, Saudi Arabia
Sungeun Kim — Harvard Medical School, USA

Resources

Contact

For questions about the challenge, please contact Mohammed Baharoon.

References

ReXGroundingCT:

@article{baharoon2026rexgroundingct,
  title={ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports},
  author={Baharoon, Mohammed and Luo, Luyang and Moritz, Michael and Kumar, Abhinav and Kim, Sung Eun and Zhang, Xiaoman and Zhu, Miao and Alabbad, Mahmoud Hussain and Alhazmi, Maha Sbayel and Mistry, Neel P and others},
  journal={NEJM AI},
  pages={AIdbp2501220},
  year={2026},
  publisher={Massachusetts Medical Society}
}

CT-RATE:

@article{hamamci2026generalist,
  title={Generalist foundation models from a multimodal dataset for 3D computed tomography},
  author={Hamamci, Ibrahim Ethem and Er, Sezgin and Wang, Chenyu and Almas, Furkan and Simsek, Ayse Gulnihan and Esirgun, Sevval Nil and Dogan, Irem and Durugol, Omer Faruk and Hou, Benjamin and Shit, Suprosanna and others},
  journal={Nature Biomedical Engineering},
  pages={1--19},
  year={2026},
  publisher={Nature Publishing Group UK London}
}

ReXGrounding Challenge

MICCAI 2026

Grounding Free-Text Findings to 3D CT Segmentations