Table D.11.

Tumor burden ranking in MICCAI-LiTS 2017.

Ranking	Ref. name	Institution	RMSE	Max error
1	C. Li et al.	CUHK	0.015 (1)	0.062 (6)
2	J. Wu et al.	NJU	0.016 (2)	0.048 (2)
3	C. Wang et al.	KTH	0.016 (3)	0.058 (4)
4	Y. Yuan et al.	MSSM	0.017 (4)	0.049 (3)
5	J. Zou et al.	Lenovo	0.017 (5)	0.045 (1)
6	K. Kaluva et al.	Predible Health	0.020 (6)	0.090 (12)
7	X. Han et al.	Elekta Inc.	0.020 (7)	0.080 (10)
8	A. Ben-Cohen et al.	Uni Tel Aviv	0.020 (8)	0.070 (7)
9	G. Chlebus et al.	Fraunhofer	0.020 (9)	0.070 (8)
10	L. Zhang et al.	CUHK	0.022 (10)	0.074 (11)
11	E. Vorontsov et al.	MILA	0.023 (11)	0.112 (13)
12	J. Lipkova et al.	TUM	0.030 (12)	0.140 (14)
13	K. Roth et al.	Volume Graphics	0.030 (13)	0.180 (15)
14	M. Piraud et al.	TUM	0.037 (14)	0.143 (16)
15	Jin Qi	0.0420 (12)	0.0330 (2)
16	L. Bi et al.	Uni Sydney	0.170 (15)	0.074 (9)
17	J. Ma et al.	NJUST	0.920 (16)	0.061 (5)