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Results

When teams submit their segmentation results, the evaluation results will be sent to the team contact person by e-mail and will be listed below.

Rank Team name Submission name Date Sum Scores Sequences used Speed Doc
1TailHot Multi-modality aggregation network3 13‑04‑18 52 T1; T1_IR; FLAIR ~13 sec doc
2XMU SmartDSP 3D CNN with a Cross-modality Channel Attention Scheme2 02‑08‑18 59 T1; T1_IR; FLAIR ~10 min doc
3WTA2 3D Cascade convolutional architecture - Method 22 23‑05‑18 62 T1; T1_IR; FLAIR ~2 min doc
4XLab 3D Fully CNN with Multi-Modality Feature Fusion3 10‑08‑18 77 T1; T1_IR; FLAIR ~2 min doc
5LIVIA_ETS HyperDenseNet2 06‑02‑18 83 T1; T1_IR; FLAIR ~4 min doc
6CU_DL2 3D Deep Learning; voxnet2 28‑06‑16 93 T1; T1_IR; FLAIR ~2 min doc
7CU_DL 3D Deep Learning; voxnet13 16‑06‑16 99 T1; T1_IR; FLAIR ~2 min doc
8LRDE Fully Convolutional Network 20‑12‑16 106 T1 ~2 sec doc
9MSL-SKKU Deep Convolutional Neural Network 19‑06‑17 111 T1; T1-IR; FLAIR ~1.5 min doc
10MDGRU Multi-Dimensional Gated Recurrent Units3 27‑07‑16 135 T1; T1_IR; FLAIR ~2 min doc
11ASTRI_DL U-Net inspired CNN model with 3D context information2 25‑07‑18 140 T1; T1_IR; FLAIR ~7 min doc
12THUity Modified U-Net3 15‑08‑18 140 T1 ~40 sec doc
13FBI/LMB Freiburg U-Net (3D) 01‑05‑16 141 T1-1mm; T1-IR; FLAIR ~2 min doc
14PyraMiD-LSTM2 NOCC with rounds3 23‑05‑16 145 T1; T1-IR; FLAIR ~2 min doc
15NIST Fully CNN for Multi-Modality Brain Tissue Segmentation 14‑08‑18 149 T1; T1_IR; FLAIR ~2 min doc
16AOC Atlas of Classifiers 24‑12‑17 159 T1 ~6 sec doc
17IDSIA PyraMiD-LSTM 05‑06‑15 166 T1; T1_IR; FLAIR ~2 min doc
18STH Hybrid ANN-based Auto-context method2 03‑06‑16 180 T1; T1-IR; FLAIR ~ 5 min doc
19ISI-Neonatology Multi-stage voxel classification 31‑05‑14 186 T1 ~1.5 hours doc
20nanand2 DeepLab-v3+ with pre-training on FreeSurfer automated labels2 13‑08‑18 188 T1 ~15 sec doc
21UNC-IDEA LINKS:Learning-based multi-source integration 09‑02‑15 190 T1; T1_IR; FLAIR ~3 min doc
22BCH_CRL_IMAGINE 3D patch-wise DenseNet and Patch Fusion2 24‑05‑18 215 T1; T1-IR; FLAIR ~2 min doc
23KSOM GHMF ASeTs: MAP-Based with Manifold learning 13‑05‑14 219 T1; T1_IR; FLAIR ~23 min doc
24MNAB2 Random Forests 21‑02‑14 220 T1; T1_IR; FLAIR ~25 min doc
25WTA 3D Cascade convolutional architecture - Method 13 15‑05‑18 233 T1; T1_IR; FLAIR ~5 min doc
26vicorob UdG T1_F MSSEG using T1 + FLAIR (T1-IR skull) 14‑01‑16 240 T1; IR; FLAIR ~2 min doc
27VBM12 VBM12_r738 with WMHC=2 07‑10‑15 243 T1 ~6 min doc
28BIGR2 Multi-Feature SVM Classification 26‑09‑13 246 T1; T1_IR; FLAIR ~35 min doc
29vicorob UdG T1 MSSEG using only T1 (T1-IR skull) 21‑01‑16 259 T1; IR ~2 min doc
30UofL BioImaging MAP-Based Framework 26‑09‑13 276 T1 ~6 sec doc
31CMIV Model-guided Level Sets and Skeletons 26‑09‑13 294 T1; FLAIR ~3 min doc
32UB VPML Med Multi-Atlas with Multiway Cut 26‑09‑13 299 T1; T1_IR; FLAIR ~30 min doc
33Narsil Segmentation using Ensemble Trees 26‑09‑13 304 T1; FLAIR < 2 min doc
34VIBOT10 M-T1+F Convolutional Neural Network 27‑02‑17 314 T1; FLAIR ~3 min doc
35drai VGG based Fully Convolutional Neural Network 20‑01‑17 315 T1 ~2 sec doc
36CVSS Multi-atlas segmentation based on supervoxels 14‑02‑17 317 T1; T1_IR; FLAIR ~2 min doc
37bigr_neuro Automatically Trained kNN Classifier 26‑09‑13 319 T1; FLAIR ~2 hours doc
38S2_QM2 Atlas-based segmentation and AdaBoost 28‑07‑14 323 T1; T1-IR; FLAIR ~45 min doc
39KM-MRF-MAS MAP on Intensity, and Local and Multi-atlas Priors 28‑10‑16 331 T1 ~10 min doc
40Robarts Multi-Atlas with Hierarchical Max-Flow 26‑09‑13 332 T1-1mm; T1-IR ~16 min doc
41SPM12_T1_F* SPM12 with T1 and FLAIR sequence 31‑08‑15 333 T1; FLAIR ~3 min doc
42CSIM-lab_Mqe-MMRF Hybrid Modified Entropy-Based Segmentation with Modified MRF 25‑06‑18 345 T1 ~6 min doc
43SJCE Fuzzy Clustering 12‑04‑17 347 T1 <1 min doc
44SPM12_T1_IR* SPM12 with T1 and IR sequence 31‑08‑15 352 T1; IR ~3 min doc
45SPM12_T1* SPM12 with T1 sequence 31‑08‑15 367 T1 ~3 min doc
46MNAB Random Decision Forests 26‑09‑13 370 T1; T1-IR; FLAIR ~15 min doc
47SPM12_T1_IR_F* SPM12 with T1; IR and FLAIR sequence 31‑08‑15 403 T1; IR; FLAIR ~4 min doc
48FSL-Seg* FSL (v5.0) seg file 31‑08‑15 407 T1 ~10 min doc
49LUH-TNT Level-sets with dictionary learning 27‑10‑14 416 T1 < 1 min doc
50FreeSurfer* FreeSurfer (v5.3.0) 31‑08‑15 417 T1-1mm ~1 hour doc
51FSL-PVSeg* FSL (v5.0) PVSeg file 31‑08‑15 420 T1 ~10 min doc
52Jedi Mind Meld Automated Walks using Machine Learning 26‑09‑13 432 T1; T1-IR; FLAIR ~27 sec doc
53mlmi2014ss AdaBoostM2 28‑07‑14 438 T1; T1-IR; FLAIR ~5 min doc
54S2_QM Bayesian-based Adaptive Mean-Shift 26‑09‑13 450 T1; T1-IR; FLAIR ~1.5 hours doc
55CSIM-Lab Multiple Logistic Classification 24‑10‑17 463 T1 doc
56ISTB UniBe Decision Forests with spatial regularization 04‑06‑14 479 T1; T1-IR; FLAIR ~3 min doc
57LNMBrains Gaussian Intensity Model 26‑09‑13 479 T1; T1-IR; FLAIR ~5 min doc
58ECOESH Modified Expectation Maximization 06‑01‑14 521 T1 ~5 min doc
*These methods (SPM, FSL and FreeSurfer) were applied by the MRBrainS organizers as described in the MRBrainS journal paper.
2,3At the end of the submission name indicates that this is the 2nd or 3rd submission (max 3 resubmissions allowed).

Note: As described below, when teams have equal scores, the standard deviations of the three tissue types and the three evaluation measures over all patients are taken into account.

How is the ranking determined?

Ranking is based on the evaluation results of all 15 test datasets and determined as follows: For each evaluation measure (Dice Coefficient (DC), Modified Hausdorff Distance (HD) and Absolute Volume Difference(AVD)), the mean value over all 15 datasets is determined for white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). Each team receives a rank (1=best) for each tissue type (GM, WM, CSF) and each evaluation measure (DC, HD-95, AVD) based on the mean value of the evaluation measures over all 15 datasets. The final score is determined by adding the ranks of all tissue types and evaluation measures for each team. The team with the lowest score is ranked number 1. In case two teams would have an equal score, the team with the lowest standard deviation over the tissue types will be ranked first.

Per tissue rankings and per measure rankings are presented below.

Overall Segmentation Results

GM Score WM Score CSF Score Rank Sum
1 TailHot 15 1 WTA2 6 1 XMU SmartDSP 3 1 TailHot 52
2 WTA2 20 2 LIVIA_ETS 20 2 TailHot 10 2 XMU SmartDSP 59
3 XLab 22 3 LRDE 21 3 XLab 12 3 WTA2 62
4 LIVIA_ETS 27 4 CU_DL 25 4 NIST 18 4 XLab 77
5 XMU SmartDSP 28 5 TailHot 27 5 IDSIA 25 5 LIVIA_ETS 83
6 LRDE 31 6 CU_DL2 28 6 MDGRU 28 6 CU_DL2 93
7 THUity 32 7 XMU SmartDSP 28 7 CU_DL2 28 7 CU_DL 99
8 CU_DL 37 8 ASTRI_DL 33 8 MSL-SKKU 32 8 LRDE 106
9 CU_DL2 37 9 MSL-SKKU 35 9 STH 35 9 MSL-SKKU 111
10 MDGRU 44 10 THUity 35 10 WTA2 36 10 MDGRU 135
11 MSL-SKKU 44 11 XLab 43 11 LIVIA_ETS 36 11 ASTRI_DL 140
12 nanand2 48 12 AOC 45 12 CU_DL 37 12 THUity 140
13 WTA 51 13 WTA 45 13 PyraMiD-LSTM2 39 13 FBI/LMB Freiburg 141
14 FBI/LMB Freiburg 53 14 PyraMiD-LSTM2 47 14 FBI/LMB Freiburg 41 14 PyraMiD-LSTM2 145
15 ISI-Neonatology 57 15 FBI/LMB Freiburg 47 15 ASTRI_DL 47 15 NIST 149
16 KSOM GHMF 59 16 UNC-IDEA 51 16 AOC 53 16 AOC 159
17 PyraMiD-LSTM2 59 17 NIST 58 17 MNAB2 53 17 IDSIA 166
18 STH 59 18 ISI-Neonatology 59 18 LRDE 54 18 STH 180
19 ASTRI_DL 60 19 BIGR2 63 19 nanand2 59 19 ISI-Neonatology 186
20 AOC 61 20 MDGRU 63 20 BCH_CRL_IMAGINE 61 20 nanand2 188
21 BCH_CRL_IMAGINE 63 21 IDSIA 70 21 UNC-IDEA 62 21 UNC-IDEA 190
22 BIGR2 66 22 VBM12 70 22 vicorob UdG T1 64 22 BCH_CRL_IMAGINE 215
23 Narsil 68 23 vicorob UdG T1_F 78 23 vicorob UdG T1_F 65 23 KSOM GHMF 219
24 IDSIA 71 24 KSOM GHMF 81 24 ISI-Neonatology 70 24 MNAB2 220
25 NIST 73 25 nanand2 81 25 THUity 73 25 WTA 233
26 UB VPML Med 74 26 SPM12_T1_F* 84 26 VBM12 77 26 vicorob UdG T1_F 240
27 UNC-IDEA 77 27 UB VPML Med 84 27 UofL BioImaging 78 27 VBM12 243
28 MNAB2 81 28 MNAB2 86 28 KSOM GHMF 79 28 BIGR2 246
29 VIBOT10 M-T1+F 83 29 STH 86 29 S2_QM2 90 29 vicorob UdG T1 259
30 SJCE 92 30 Narsil 88 30 Robarts 95 30 UofL BioImaging 276
31 drai 93 31 vicorob UdG T1 90 31 CMIV 97 31 CMIV 294
32 VBM12 96 32 BCH_CRL_IMAGINE 91 32 drai 97 32 UB VPML Med 299
33 vicorob UdG T1_F 97 33 CVSS 94 33 VIBOT10 M-T1+F 98 33 Narsil 304
34 UofL BioImaging 97 34 CMIV 96 34 KM-MRF-MAS 101 34 VIBOT10 M-T1+F 314
35 CSIM-lab_Mqe-MMRF 97 35 SPM12_T1* 98 35 SPM12_T1_IR* 105 35 drai 315
36 CVSS 99 36 MNAB 101 36 bigr_neuro 110 36 CVSS 317
37 bigr_neuro 100 37 UofL BioImaging 101 37 SPM12_T1_IR_F* 117 37 bigr_neuro 319
38 CMIV 101 38 bigr_neuro 109 38 BIGR2 117 38 S2_QM2 323
39 vicorob UdG T1 105 39 CSIM-lab_Mqe-MMRF 110 39 FSL-PVSeg* 118 39 KM-MRF-MAS 331
40 S2_QM2 105 40 SJCE 111 40 FSL-Seg* 118 40 Robarts 332
41 KM-MRF-MAS 112 41 Robarts 115 41 SPM12_T1_F* 119 41 SPM12_T1_F* 333
42 MNAB 114 42 SPM12_T1_IR* 118 42 CVSS 124 42 CSIM-lab_Mqe-MMRF 345
43 SPM12_T1* 120 43 KM-MRF-MAS 118 43 Jedi Mind Meld 126 43 SJCE 347
44 Robarts 122 44 FreeSurfer* 121 44 S2_QM 133 44 SPM12_T1_IR* 352
45 SPM12_T1_IR* 129 45 drai 125 45 WTA 137 45 SPM12_T1* 367
46 SPM12_T1_F* 130 46 S2_QM2 128 46 CSIM-lab_Mqe-MMRF 138 46 MNAB 370
47 FreeSurfer* 136 47 LUH-TNT 131 47 UB VPML Med 141 47 SPM12_T1_IR_F* 403
48 LUH-TNT 137 48 VIBOT10 M-T1+F 133 48 mlmi2014ss 142 48 FSL-Seg* 407
49 SPM12_T1_IR_F* 140 49 mlmi2014ss 141 49 SJCE 144 49 LUH-TNT 416
50 FSL-PVSeg* 146 50 FSL-Seg* 142 50 CSIM-Lab 147 50 FreeSurfer* 417
51 Jedi Mind Meld 146 51 SPM12_T1_IR_F* 146 51 Narsil 148 51 FSL-PVSeg* 420
52 FSL-Seg* 147 52 CSIM-Lab 151 52 LUH-TNT 148 52 Jedi Mind Meld 432
53 S2_QM 155 53 ISTB UniBe 156 53 SPM12_T1* 149 53 mlmi2014ss 438
54 mlmi2014ss 155 54 FSL-PVSeg* 156 54 LNMBrains 151 54 S2_QM 450
55 LNMBrains 160 55 Jedi Mind Meld 160 55 MNAB 155 55 CSIM-Lab 463
56 ISTB UniBe 163 56 S2_QM 162 56 FreeSurfer* 160 56 ISTB UniBe 479
57 CSIM-Lab 165 57 LNMBrains 168 57 ISTB UniBe 160 57 LNMBrains 479
58 ECOESH 174 58 ECOESH 174 58 ECOESH 173 58 ECOESH 521

GM = Gray matter, WM = White matter, CSF = Cerebrospinal fluid
Sum = Score GM + Score WM + Score CSF
Score = Rank DC + Rank HD + Rank AVD

Gray Matter Segmentation Results

Rank DC Rank HD Rank AVD GM Score
1 XMU SmartDSP 86.56 1 XMU SmartDSP 1.31 1 CSIM-lab_Mqe-MMRF 4.87 1 TailHot 15
2 TailHot 86.40 2 LIVIA_ETS 1.34 2 SJCE 5.14 2 WTA2 20
3 LIVIA_ETS 86.33 3 TailHot 1.38 3 THUity 5.24 3 XLab 22
4 CU_DL2 86.15 4 CU_DL2 1.44 4 drai 5.29 4 LIVIA_ETS 27
5 CU_DL 86.12 5 LRDE 1.44 5 WTA2 5.43 5 XMU SmartDSP 28
6 XLab 86.09 6 WTA2 1.45 6 KSOM GHMF 5.44 6 LRDE 31
7 MSL-SKKU 86.06 7 XLab 1.45 7 Narsil 5.52 7 THUity 32
8 LRDE 86.03 8 CU_DL 1.47 8 BCH_CRL_IMAGINE 5.70 8 CU_DL 37
9 WTA2 86.00 9 nanand2 1.50 9 XLab 5.71 9 CU_DL2 37
10 ASTRI_DL 85.97 10 MSL-SKKU 1.52 10 TailHot 5.72 10 MDGRU 44
11 ISI-Neonatology 85.77 11 MDGRU 1.54 11 AOC 5.81 11 MSL-SKKU 44
12 WTA 85.70 12 FBI/LMB Freiburg 1.58 12 UB VPML Med 5.87 12 nanand2 48
13 FBI/LMB Freiburg 85.44 13 THUity 1.61 13 nanand2 5.90 13 WTA 51
14 MDGRU 85.40 14 WTA 1.61 14 bigr_neuro 5.90 14 FBI/LMB Freiburg 53
15 NIST 85.26 15 UNC-IDEA 1.62 15 VBM12 5.91 15 ISI-Neonatology 57
16 THUity 85.24 16 ISI-Neonatology 1.62 16 vicorob UdG T1_F 5.98 16 KSOM GHMF 59
17 VIBOT10 M-T1+F 85.07 17 ASTRI_DL 1.63 17 STH 6.02 17 PyraMiD-LSTM2 59
18 PyraMiD-LSTM2 84.89 18 PyraMiD-LSTM2 1.67 18 LRDE 6.05 18 STH 59
19 IDSIA 84.82 19 MNAB2 1.70 19 MDGRU 6.09 19 ASTRI_DL 60
20 STH 84.77 20 IDSIA 1.70 20 BIGR2 6.13 20 AOC 61
21 BIGR2 84.65 21 UofL BioImaging 1.70 21 vicorob UdG T1 6.15 21 BCH_CRL_IMAGINE 63
22 AOC 84.59 22 STH 1.71 22 LIVIA_ETS 6.19 22 BIGR2 66
23 MNAB2 84.50 23 NIST 1.83 23 PyraMiD-LSTM2 6.35 23 Narsil 68
24 UNC-IDEA 84.36 24 VIBOT10 M-T1+F 1.87 24 CU_DL 6.42 24 IDSIA 71
25 BCH_CRL_IMAGINE 84.27 25 BIGR2 1.89 25 WTA 6.56 25 NIST 73
26 nanand2 84.21 26 KSOM GHMF 1.92 26 XMU SmartDSP 6.57 26 UB VPML Med 74
27 KSOM GHMF 84.13 27 Robarts 1.95 27 MSL-SKKU 6.60 27 UNC-IDEA 77
28 MNAB 83.86 28 AOC 1.97 28 FBI/LMB Freiburg 6.60 28 MNAB2 81
29 Narsil 83.47 29 CVSS 1.98 29 CU_DL2 6.60 29 VIBOT10 M-T1+F 83
30 S2_QM2 83.35 30 BCH_CRL_IMAGINE 2.03 30 ISI-Neonatology 6.62 30 SJCE 92
31 UB VPML Med 83.31 31 UB VPML Med 2.09 31 CMIV 6.76 31 drai 93
32 UofL BioImaging 82.96 32 Narsil 2.27 32 IDSIA 6.77 32 VBM12 96
33 CMIV 82.43 33 FreeSurfer* 2.31 33 ASTRI_DL 6.78 33 vicorob UdG T1_F 97
34 CVSS 82.35 34 S2_QM2 2.36 34 KM-MRF-MAS 6.79 34 UofL BioImaging 97
35 VBM12 82.29 35 drai 2.48 35 NIST 6.82 35 CSIM-lab_Mqe-MMRF 97
36 vicorob UdG T1_F 82.19 36 LUH-TNT 2.62 36 CVSS 6.86 36 CVSS 99
37 vicorob UdG T1 82.07 37 CMIV 2.69 37 SPM12_T1* 6.95 37 bigr_neuro 100
38 bigr_neuro 81.46 38 KM-MRF-MAS 2.73 38 UNC-IDEA 7.04 38 CMIV 101
39 SPM12_T1_F* 81.17 39 MNAB 2.79 39 MNAB2 7.10 39 vicorob UdG T1 105
40 KM-MRF-MAS 80.85 40 SPM12_T1_F* 2.90 40 SPM12_T1_IR* 7.23 40 S2_QM2 105
41 SJCE 80.76 41 SPM12_T1* 2.93 41 S2_QM2 7.23 41 KM-MRF-MAS 112
42 SPM12_T1* 80.34 42 mlmi2014ss 2.96 42 VIBOT10 M-T1+F 8.16 42 MNAB 114
43 SPM12_T1_IR_F* 80.15 43 SPM12_T1_IR* 3.01 43 FSL-PVSeg* 8.40 43 SPM12_T1* 120
44 CSIM-lab_Mqe-MMRF 80.09 44 SPM12_T1_IR_F* 3.03 44 UofL BioImaging 8.61 44 Robarts 122
45 Robarts 79.70 45 vicorob UdG T1_F 3.17 45 FSL-Seg* 8.65 45 SPM12_T1_IR* 129
46 SPM12_T1_IR* 79.41 46 VBM12 3.20 46 Jedi Mind Meld 8.94 46 SPM12_T1_F* 130
47 LUH-TNT 79.35 47 vicorob UdG T1 3.31 47 MNAB 9.11 47 FreeSurfer* 136
48 FSL-Seg* 78.66 48 bigr_neuro 3.67 48 S2_QM 9.28 48 LUH-TNT 137
49 Jedi Mind Meld 77.84 49 SJCE 3.71 49 LNMBrains 9.47 49 SPM12_T1_IR_F* 140
50 FSL-PVSeg* 77.66 50 ISTB UniBe 3.86 50 Robarts 9.77 50 FSL-PVSeg* 146
51 FreeSurfer* 77.41 51 Jedi Mind Meld 3.90 51 SPM12_T1_F* 10.59 51 Jedi Mind Meld 146
52 S2_QM 76.41 52 CSIM-lab_Mqe-MMRF 3.93 52 FreeSurfer* 12.15 52 FSL-Seg* 147
53 CSIM-Lab 75.65 53 FSL-PVSeg* 4.29 53 SPM12_T1_IR_F* 13.92 53 S2_QM 155
54 drai 74.53 54 FSL-Seg* 4.35 54 LUH-TNT 15.52 54 mlmi2014ss 155
55 LNMBrains 72.75 55 S2_QM 5.51 55 CSIM-Lab 18.07 55 LNMBrains 160
56 mlmi2014ss 71.70 56 LNMBrains 6.80 56 ISTB UniBe 19.11 56 ISTB UniBe 163
57 ISTB UniBe 68.62 57 CSIM-Lab 7.50 57 mlmi2014ss 24.56 57 CSIM-Lab 165
58 ECOESH 63.36 58 ECOESH 34.07 58 ECOESH 38.34 58 ECOESH 174

White Matter Segmentation Results

Rank DC Rank HD Rank AVD WM Score
1 XLab 89.81 1 LIVIA_ETS 1.78 1 WTA2 5.20 1 WTA2 6
2 WTA2 89.74 2 XMU SmartDSP 1.80 2 SPM12_T1_F* 5.21 2 LIVIA_ETS 20
3 TailHot 89.70 3 WTA2 1.82 3 THUity 5.52 3 LRDE 21
4 XMU SmartDSP 89.54 4 LRDE 1.86 4 MSL-SKKU 5.54 4 CU_DL 25
5 LIVIA_ETS 89.46 5 XLab 1.87 5 ASTRI_DL 5.67 5 TailHot 27
6 CU_DL2 89.46 6 TailHot 1.88 6 AOC 5.72 6 CU_DL2 28
7 WTA 89.40 7 CU_DL2 1.93 7 Narsil 5.78 7 XMU SmartDSP 28
8 CU_DL 89.39 8 CU_DL 1.93 8 LRDE 5.83 8 ASTRI_DL 33
9 LRDE 89.29 9 FBI/LMB Freiburg 1.95 9 CU_DL 5.84 9 MSL-SKKU 35
10 ASTRI_DL 89.24 10 WTA 2.00 10 PyraMiD-LSTM2 5.93 10 THUity 35
11 THUity 89.00 11 MDGRU 2.02 11 vicorob UdG T1_F 5.94 11 XLab 43
12 MSL-SKKU 89.00 12 nanand2 2.02 12 SPM12_T1* 5.99 12 AOC 45
13 MDGRU 88.98 13 NIST 2.05 13 BIGR2 6.02 13 WTA 45
14 NIST 88.88 14 UNC-IDEA 2.06 14 LIVIA_ETS 6.03 14 PyraMiD-LSTM2 47
15 FBI/LMB Freiburg 88.86 15 ISI-Neonatology 2.07 15 CU_DL2 6.05 15 FBI/LMB Freiburg 47
16 UNC-IDEA 88.68 16 PyraMiD-LSTM2 2.07 16 VBM12 6.06 16 UNC-IDEA 51
17 AOC 88.68 17 IDSIA 2.08 17 vicorob UdG T1 6.21 17 NIST 58
18 ISI-Neonatology 88.66 18 ASTRI_DL 2.10 18 TailHot 6.28 18 ISI-Neonatology 59
19 BCH_CRL_IMAGINE 88.63 19 MSL-SKKU 2.11 19 SPM12_T1_IR* 6.34 19 BIGR2 63
20 UB VPML Med 88.61 20 MNAB2 2.12 20 SJCE 6.43 20 MDGRU 63
21 PyraMiD-LSTM2 88.53 21 THUity 2.16 21 UNC-IDEA 6.46 21 IDSIA 70
22 STH 88.45 22 AOC 2.19 22 XMU SmartDSP 6.47 22 VBM12 70
23 BIGR2 88.42 23 BCH_CRL_IMAGINE 2.23 23 FBI/LMB Freiburg 6.47 23 vicorob UdG T1_F 78
24 IDSIA 88.33 24 UofL BioImaging 2.24 24 KSOM GHMF 6.59 24 KSOM GHMF 81
25 nanand2 88.29 25 VBM12 2.32 25 CSIM-lab_Mqe-MMRF 6.92 25 nanand2 81
26 MNAB2 88.04 26 STH 2.34 26 ISI-Neonatology 6.96 26 SPM12_T1_F* 84
27 CVSS 88.00 27 BIGR2 2.36 27 drai 6.99 27 UB VPML Med 84
28 KSOM GHMF 87.96 28 CMIV 2.43 28 WTA 7.02 28 MNAB2 86
29 VBM12 87.95 29 KSOM GHMF 2.49 29 IDSIA 7.05 29 STH 86
30 MNAB 87.95 30 MNAB 2.65 30 Robarts 7.06 30 Narsil 88
31 UofL BioImaging 87.88 31 KM-MRF-MAS 2.70 31 NIST 7.11 31 vicorob UdG T1 90
32 CMIV 87.71 32 UB VPML Med 2.72 32 UB VPML Med 7.13 32 BCH_CRL_IMAGINE 91
33 vicorob UdG T1_F 87.34 33 CVSS 2.86 33 FreeSurfer* 7.18 33 CVSS 94
34 VIBOT10 M-T1+F 87.32 34 vicorob UdG T1_F 2.88 34 CVSS 7.20 34 CMIV 96
35 bigr_neuro 87.31 35 mlmi2014ss 2.89 35 bigr_neuro 7.31 35 SPM12_T1* 98
36 Narsil 87.10 36 vicorob UdG T1 2.91 36 CMIV 7.34 36 MNAB 101
37 vicorob UdG T1 87.06 37 LUH-TNT 2.96 37 XLab 7.61 37 UofL BioImaging 101
38 SJCE 86.83 38 SPM12_T1_F* 3.00 38 STH 7.67 38 bigr_neuro 109
39 CSIM-lab_Mqe-MMRF 86.76 39 bigr_neuro 3.01 39 MDGRU 7.69 39 CSIM-lab_Mqe-MMRF 110
40 KM-MRF-MAS 86.73 40 SPM12_T1* 3.06 40 MNAB2 7.74 40 SJCE 111
41 LUH-TNT 86.47 41 FreeSurfer* 3.06 41 MNAB 7.75 41 Robarts 115
42 S2_QM2 86.34 42 Robarts 3.06 42 S2_QM2 7.91 42 SPM12_T1_IR* 118
43 Robarts 86.15 43 drai 3.23 43 VIBOT10 M-T1+F 8.01 43 KM-MRF-MAS 118
44 SPM12_T1_F* 86.03 44 S2_QM2 3.29 44 nanand2 8.22 44 FreeSurfer* 121
45 FSL-Seg* 85.98 45 Narsil 3.31 45 SPM12_T1_IR_F* 8.40 45 drai 125
46 SPM12_T1* 85.58 46 CSIM-lab_Mqe-MMRF 3.33 46 UofL BioImaging 8.74 46 S2_QM2 128
47 FreeSurfer* 85.25 47 SPM12_T1_IR* 3.60 47 KM-MRF-MAS 9.19 47 LUH-TNT 131
48 CSIM-Lab 85.24 48 CSIM-Lab 3.65 48 FSL-Seg* 11.47 48 VIBOT10 M-T1+F 133
49 FSL-PVSeg* 84.84 49 FSL-Seg* 3.65 49 BCH_CRL_IMAGINE 12.38 49 mlmi2014ss 141
50 S2_QM 83.86 50 SPM12_T1_IR_F* 3.84 50 Jedi Mind Meld 13.66 50 FSL-Seg* 142
51 SPM12_T1_IR_F* 83.64 51 FSL-PVSeg* 3.85 51 ISTB UniBe 13.71 51 SPM12_T1_IR_F* 146
52 SPM12_T1_IR* 83.54 52 ISTB UniBe 3.98 52 mlmi2014ss 14.00 52 CSIM-Lab 151
53 ISTB UniBe 82.50 53 SJCE 4.29 53 LUH-TNT 14.20 53 ISTB UniBe 156
54 mlmi2014ss 81.98 54 Jedi Mind Meld 4.52 54 LNMBrains 15.34 54 FSL-PVSeg* 156
55 drai 80.75 55 S2_QM 4.94 55 CSIM-Lab 17.39 55 Jedi Mind Meld 160
56 Jedi Mind Meld 80.64 56 VIBOT10 M-T1+F 6.63 56 FSL-PVSeg* 19.69 56 S2_QM 162
57 LNMBrains 78.32 57 LNMBrains 6.77 57 S2_QM 24.79 57 LNMBrains 168
58 ECOESH 75.82 58 ECOESH 38.46 58 ECOESH 25.27 58 ECOESH 174

Cerebrospinal Fluid Segmentation Results

Rank DC Rank HD Rank AVD CSF Score
1 XMU SmartDSP 85.02 1 XMU SmartDSP 1.88 1 XMU SmartDSP 5.78 1 XMU SmartDSP 3
2 TailHot 84.86 2 TailHot 2.03 2 WTA2 6.20 2 TailHot 10
3 CU_DL2 84.25 3 XLab 2.03 3 AOC 6.51 3 XLab 12
4 XLab 84.24 4 NIST 2.07 4 STH 6.73 4 NIST 18
5 ASTRI_DL 84.23 5 IDSIA 2.14 5 XLab 6.74 5 IDSIA 25
6 MDGRU 84.13 6 MDGRU 2.17 6 TailHot 6.75 6 MDGRU 28
7 NIST 84.01 7 CU_DL2 2.19 7 NIST 6.75 7 CU_DL2 28
8 CU_DL 83.96 8 FBI/LMB Freiburg 2.22 8 MSL-SKKU 6.77 8 MSL-SKKU 32
9 MSL-SKKU 83.76 9 LIVIA_ETS 2.26 9 VBM12 6.80 9 STH 35
10 IDSIA 83.72 10 MNAB2 2.27 10 IDSIA 7.09 10 WTA2 36
11 FBI/LMB Freiburg 83.47 11 LRDE 2.28 11 BCH_CRL_IMAGINE 7.12 11 LIVIA_ETS 36
12 LIVIA_ETS 83.42 12 CU_DL 2.28 12 PyraMiD-LSTM2 7.17 12 CU_DL 37
13 BCH_CRL_IMAGINE 83.26 13 PyraMiD-LSTM2 2.30 13 vicorob UdG T1 7.17 13 PyraMiD-LSTM2 39
14 PyraMiD-LSTM2 83.05 14 STH 2.31 14 vicorob UdG T1_F 7.21 14 FBI/LMB Freiburg 41
15 UNC-IDEA 82.81 15 MSL-SKKU 2.32 15 LIVIA_ETS 7.31 15 ASTRI_DL 47
16 WTA2 82.77 16 UNC-IDEA 2.35 16 MDGRU 7.44 16 AOC 53
17 STH 82.77 17 nanand2 2.41 17 CU_DL 7.44 17 MNAB2 53
18 LRDE 82.44 18 WTA2 2.41 18 CU_DL2 7.69 18 LRDE 54
19 MNAB2 82.30 19 ASTRI_DL 2.54 19 nanand2 7.76 19 nanand2 59
20 KSOM GHMF 82.10 20 ISI-Neonatology 2.65 20 drai 8.14 20 BCH_CRL_IMAGINE 61
21 THUity 81.27 21 Robarts 2.66 21 THUity 8.28 21 UNC-IDEA 62
22 ISI-Neonatology 81.08 22 UofL BioImaging 2.66 22 FBI/LMB Freiburg 8.63 22 vicorob UdG T1 64
23 nanand2 80.63 23 KSOM GHMF 2.71 23 ASTRI_DL 8.70 23 vicorob UdG T1_F 65
24 AOC 80.46 24 vicorob UdG T1_F 2.81 24 MNAB2 8.73 24 ISI-Neonatology 70
25 Robarts 80.28 25 vicorob UdG T1 2.81 25 LRDE 9.03 25 THUity 73
26 vicorob UdG T1 80.18 26 AOC 2.84 26 S2_QM2 9.36 26 VBM12 77
27 vicorob UdG T1_F 80.17 27 VIBOT10 M-T1+F 2.98 27 UofL BioImaging 9.68 27 UofL BioImaging 78
28 VIBOT10 M-T1+F 79.73 28 CMIV 3.00 28 ISI-Neonatology 9.77 28 KSOM GHMF 79
29 UofL BioImaging 78.86 29 VBM12 3.03 29 SPM12_T1_F* 10.07 29 S2_QM2 90
30 CMIV 78.57 30 S2_QM2 3.05 30 SPM12_T1_IR* 10.47 30 Robarts 95
31 BIGR2 78.31 31 THUity 3.07 31 UNC-IDEA 10.52 31 CMIV 97
32 SPM12_T1_IR* 78.25 32 KM-MRF-MAS 3.08 32 FSL-PVSeg* 10.69 32 drai 97
33 bigr_neuro 78.16 33 bigr_neuro 3.15 33 KM-MRF-MAS 10.95 33 VIBOT10 M-T1+F 98
34 S2_QM2 77.97 34 drai 3.17 34 FSL-Seg* 11.83 34 KM-MRF-MAS 101
35 WTA 77.77 35 BIGR2 3.19 35 SPM12_T1_IR_F* 12.21 35 SPM12_T1_IR* 105
36 KM-MRF-MAS 76.97 36 CVSS 3.25 36 KSOM GHMF 12.78 36 bigr_neuro 110
37 SPM12_T1_IR_F* 76.87 37 BCH_CRL_IMAGINE 3.28 37 CSIM-Lab 13.31 37 SPM12_T1_IR_F* 117
38 UB VPML Med 74.82 38 FSL-Seg* 3.41 38 Narsil 13.54 38 BIGR2 117
39 VBM12 74.56 39 FSL-PVSeg* 3.44 39 CMIV 14.31 39 FSL-PVSeg* 118
40 SPM12_T1_F* 74.03 40 Jedi Mind Meld 3.67 40 S2_QM 14.45 40 FSL-Seg* 118
41 Jedi Mind Meld 73.33 41 mlmi2014ss 3.77 41 SJCE 14.99 41 SPM12_T1_F* 119
42 CVSS 72.59 42 S2_QM 3.79 42 CSIM-lab_Mqe-MMRF 15.97 42 CVSS 124
43 drai 70.95 43 SPM12_T1_IR* 4.01 43 VIBOT10 M-T1+F 16.06 43 Jedi Mind Meld 126
44 SPM12_T1* 70.69 44 LUH-TNT 4.07 44 bigr_neuro 16.47 44 S2_QM 133
45 mlmi2014ss 70.59 45 SPM12_T1_IR_F* 4.15 45 Jedi Mind Meld 17.60 45 WTA 137
46 FSL-Seg* 69.95 46 CSIM-lab_Mqe-MMRF 4.24 46 CVSS 17.94 46 CSIM-lab_Mqe-MMRF 138
47 FSL-PVSeg* 69.49 47 FreeSurfer* 4.31 47 LNMBrains 19.87 47 UB VPML Med 141
48 LNMBrains 68.80 48 UB VPML Med 4.31 48 ISTB UniBe 19.89 48 mlmi2014ss 142
49 MNAB 68.08 49 WTA 4.35 49 Robarts 20.36 49 SJCE 144
50 CSIM-lab_Mqe-MMRF 68.03 50 SPM12_T1_F* 4.59 50 LUH-TNT 20.40 50 CSIM-Lab 147
51 S2_QM 67.87 51 SJCE 4.78 51 BIGR2 22.76 51 Narsil 148
52 SJCE 67.67 52 MNAB 4.88 52 SPM12_T1* 23.24 52 LUH-TNT 148
53 Narsil 66.57 53 SPM12_T1* 5.34 53 WTA 24.67 53 SPM12_T1* 149
54 LUH-TNT 66.47 54 CSIM-Lab 5.44 54 MNAB 28.56 54 LNMBrains 151
55 FreeSurfer* 65.79 55 ISTB UniBe 6.94 55 UB VPML Med 31.19 55 MNAB 155
56 CSIM-Lab 59.82 56 LNMBrains 7.66 56 mlmi2014ss 33.45 56 FreeSurfer* 160
57 ISTB UniBe 54.69 57 Narsil 13.30 57 ECOESH 36.59 57 ISTB UniBe 160
58 ECOESH 51.48 58 ECOESH 18.75 58 FreeSurfer* 50.27 58 ECOESH 173

Brain (GM and WM segmentations combined) Results

Rank DC Rank HD Rank AVD Brain Score
1 XMU SmartDSP 95.86 1 XMU SmartDSP 1.91 1 UB VPML Med 2.35 1 LIVIA_ETS 15
2 TailHot 95.83 2 XLab 1.93 2 STH 2.51 2 LRDE 19
3 XLab 95.77 3 LIVIA_ETS 1.99 3 AOC 2.52 3 TailHot 21
4 CU_DL2 95.74 4 LRDE 2.07 4 CMIV 2.58 4 WTA2 25
5 LIVIA_ETS 95.70 5 TailHot 2.09 5 THUity 2.62 5 XLab 26
6 CU_DL 95.70 6 WTA2 2.12 6 LRDE 2.62 6 XMU SmartDSP 28
7 ASTRI_DL 95.67 7 nanand2 2.17 7 LIVIA_ETS 2.67 7 MSL-SKKU 32
8 MSL-SKKU 95.67 8 ISI-Neonatology 2.18 8 WTA2 2.68 8 ISI-Neonatology 34
9 LRDE 95.65 9 CU_DL 2.19 9 WTA 2.73 9 CU_DL 34
10 ISI-Neonatology 95.65 10 CU_DL2 2.24 10 PyraMiD-LSTM2 2.73 10 STH 34
11 WTA2 95.62 11 IDSIA 2.27 11 MSL-SKKU 2.73 11 CU_DL2 36
12 WTA 95.59 12 MDGRU 2.29 12 VBM12 2.77 12 WTA 36
13 MDGRU 95.59 13 MSL-SKKU 2.29 13 S2_QM2 2.78 13 MDGRU 40
14 FBI/LMB Freiburg 95.40 14 FBI/LMB Freiburg 2.33 14 TailHot 2.79 14 THUity 43
15 BCH_CRL_IMAGINE 95.39 15 WTA 2.35 15 MDGRU 2.79 15 nanand2 44
16 STH 95.37 16 STH 2.38 16 ISI-Neonatology 2.80 16 AOC 47
17 PyraMiD-LSTM2 95.30 17 THUity 2.39 17 nanand2 2.87 17 PyraMiD-LSTM2 47
18 IDSIA 95.29 18 MNAB2 2.41 18 ASTRI_DL 2.88 18 ASTRI_DL 48
19 NIST 95.29 19 UofL BioImaging 2.41 19 CU_DL 2.89 19 IDSIA 57
20 nanand2 95.24 20 PyraMiD-LSTM2 2.45 20 Narsil 2.91 20 UB VPML Med 60
21 THUity 95.22 21 UNC-IDEA 2.48 21 XLab 2.93 21 FBI/LMB Freiburg 61
22 AOC 95.19 22 AOC 2.53 22 CU_DL2 2.94 22 S2_QM2 65
23 MNAB2 95.16 23 ASTRI_DL 2.64 23 FSL-Seg* 2.95 23 MNAB2 73
24 KSOM GHMF 95.13 24 S2_QM2 2.73 24 vicorob UdG T1 2.97 24 CMIV 78
25 BIGR2 95.13 25 BIGR2 2.74 25 vicorob UdG T1_F 2.98 25 VBM12 80
26 UNC-IDEA 95.05 26 KM-MRF-MAS 2.76 26 XMU SmartDSP 3.04 26 Narsil 80
27 UofL BioImaging 94.93 27 Robarts 2.78 27 BCH_CRL_IMAGINE 3.06 27 BCH_CRL_IMAGINE 80
28 S2_QM2 94.90 28 UB VPML Med 2.80 28 IDSIA 3.10 28 NIST 81
29 VIBOT10 M-T1+F 94.89 29 CVSS 2.84 29 KSOM GHMF 3.15 29 KSOM GHMF 84
30 Narsil 94.78 30 Narsil 2.86 30 NIST 3.18 30 BIGR2 85
31 UB VPML Med 94.59 31 KSOM GHMF 2.86 31 drai 3.20 31 UofL BioImaging 89
32 VBM12 94.50 32 NIST 2.86 32 MNAB2 3.21 32 UNC-IDEA 92
33 CMIV 94.48 33 LUH-TNT 2.90 33 FBI/LMB Freiburg 3.22 33 vicorob UdG T1_F 99
34 MNAB 94.47 34 drai 3.05 34 SPM12_T1* 3.23 34 vicorob UdG T1 100
35 vicorob UdG T1_F 94.27 35 mlmi2014ss 3.23 35 BIGR2 3.24 35 LUH-TNT 114
36 vicorob UdG T1 94.25 36 VBM12 3.36 36 CSIM-lab_Mqe-MMRF 3.35 36 CVSS 114
37 LUH-TNT 94.17 37 FreeSurfer* 3.55 37 SPM12_T1_IR* 3.38 37 KM-MRF-MAS 117
38 CVSS 94.08 38 BCH_CRL_IMAGINE 3.64 38 Jedi Mind Meld 3.46 38 drai 118
39 bigr_neuro 93.99 39 vicorob UdG T1_F 3.73 39 FSL-PVSeg* 3.46 39 SPM12_T1* 121
40 KM-MRF-MAS 93.97 40 vicorob UdG T1 3.74 40 bigr_neuro 3.57 40 MNAB 121
41 SPM12_T1_IR* 93.93 41 CMIV 3.82 41 MNAB 3.76 41 FSL-Seg* 122
42 SPM12_T1_F* 93.87 42 CSIM-lab_Mqe-MMRF 4.26 42 SJCE 3.79 42 CSIM-lab_Mqe-MMRF 122
43 SPM12_T1* 93.85 43 ISTB UniBe 4.39 43 UofL BioImaging 3.88 43 VIBOT10 M-T1+F 124
44 CSIM-lab_Mqe-MMRF 93.66 44 SPM12_T1* 4.45 44 LUH-TNT 4.11 44 bigr_neuro 126
45 FSL-PVSeg* 93.59 45 SJCE 4.52 45 UNC-IDEA 4.21 45 SPM12_T1_IR* 126
46 SPM12_T1_IR_F* 93.59 46 MNAB 4.54 46 VIBOT10 M-T1+F 4.84 46 Robarts 132
47 SJCE 93.48 47 bigr_neuro 4.57 47 CVSS 4.91 47 SJCE 134
48 FSL-Seg* 93.30 48 SPM12_T1_IR* 4.63 48 SPM12_T1_IR_F* 5.11 48 FSL-PVSeg* 138
49 S2_QM 93.27 49 VIBOT10 M-T1+F 4.91 49 SPM12_T1_F* 5.33 49 Jedi Mind Meld 138
50 Jedi Mind Meld 93.24 50 Jedi Mind Meld 5.44 50 S2_QM 5.48 50 FreeSurfer* 141
51 Robarts 93.13 51 FSL-Seg* 5.53 51 KM-MRF-MAS 5.58 51 SPM12_T1_F* 143
52 FreeSurfer* 92.32 52 SPM12_T1_F* 5.85 52 FreeSurfer* 6.27 52 mlmi2014ss 145
53 drai 91.97 53 SPM12_T1_IR_F* 5.91 53 LNMBrains 7.37 53 SPM12_T1_IR_F* 147
54 CSIM-Lab 91.20 54 FSL-PVSeg* 6.09 54 Robarts 7.88 54 S2_QM 154
55 mlmi2014ss 90.75 55 S2_QM 6.98 55 mlmi2014ss 12.05 55 ISTB UniBe 157
56 LNMBrains 88.51 56 LNMBrains 8.56 56 CSIM-Lab 15.76 56 LNMBrains 165
57 ISTB UniBe 87.80 57 CSIM-Lab 11.24 57 ISTB UniBe 17.26 57 CSIM-Lab 167
58 ECOESH 78.24 58 ECOESH 35.99 58 ECOESH 32.06 58 ECOESH 174

Intracranial cavity (GM, WM, and CSF segmentations combined) Results

Rank DC Rank HD Rank AVD ICV Score
1 NIST 98.36 1 NIST 2.03 1 XLab 0.53 1 NIST 8
2 XMU SmartDSP 98.23 2 MDGRU 2.37 2 UNC-IDEA 0.68 2 XMU SmartDSP 15
3 TailHot 98.17 3 XMU SmartDSP 2.42 3 PyraMiD-LSTM2 0.69 3 MDGRU 15
4 ASTRI_DL 98.16 4 IDSIA 2.44 4 STH 0.69 4 IDSIA 18
5 IDSIA 98.15 5 ASTRI_DL 2.47 5 BCH_CRL_IMAGINE 0.75 5 XLab 20
6 MDGRU 98.15 6 FBI/LMB Freiburg 2.51 6 NIST 0.77 6 ASTRI_DL 22
7 CU_DL2 98.10 7 Robarts 2.55 7 MDGRU 0.86 7 PyraMiD-LSTM2 23
8 PyraMiD-LSTM2 98.04 8 XLab 2.67 8 Robarts 0.91 8 UNC-IDEA 25
9 CU_DL 97.99 9 UNC-IDEA 2.72 9 IDSIA 0.95 9 Robarts 28
10 FBI/LMB Freiburg 97.99 10 CU_DL2 2.75 10 XMU SmartDSP 0.98 10 FBI/LMB Freiburg 28
11 XLab 97.96 11 TailHot 2.78 11 SPM12_T1_IR* 0.99 11 TailHot 30
12 MSL-SKKU 97.96 12 PyraMiD-LSTM2 2.86 12 FBI/LMB Freiburg 1.06 12 STH 36
13 Robarts 97.92 13 LRDE 2.87 13 ASTRI_DL 1.09 13 CU_DL2 37
14 UNC-IDEA 97.92 14 STH 2.92 14 THUity 1.13 14 MSL-SKKU 55
15 BCH_CRL_IMAGINE 97.82 15 MNAB2 2.95 15 SPM12_T1_IR_F* 1.17 15 LRDE 56
16 LIVIA_ETS 97.82 16 LIVIA_ETS 2.96 16 TailHot 1.23 16 LIVIA_ETS 57
17 SPM12_T1_IR* 97.73 17 WTA2 3.00 17 LRDE 1.44 17 CU_DL 58
18 STH 97.72 18 nanand2 3.01 18 SPM12_T1_F* 1.46 18 MNAB2 63
19 SPM12_T1_IR_F* 97.71 19 CU_DL 3.17 19 MSL-SKKU 1.46 19 nanand2 66
20 MNAB2 97.66 20 KSOM GHMF 3.23 20 CU_DL2 1.54 20 vicorob UdG T1 69
21 vicorob UdG T1 97.65 21 UofL BioImaging 3.43 21 nanand2 1.61 21 SPM12_T1_IR* 69
22 vicorob UdG T1_F 97.64 22 AOC 3.53 22 vicorob UdG T1 1.62 22 vicorob UdG T1_F 74
23 VIBOT10 M-T1+F 97.63 23 S2_QM2 3.72 23 VIBOT10 M-T1+F 1.64 23 WTA2 74
24 WTA2 97.61 24 MSL-SKKU 3.75 24 vicorob UdG T1_F 1.65 24 BCH_CRL_IMAGINE 74
25 KSOM GHMF 97.56 25 CMIV 3.76 25 LIVIA_ETS 1.67 25 VIBOT10 M-T1+F 75
26 LRDE 97.53 26 vicorob UdG T1 3.85 26 AOC 1.73 26 AOC 76
27 nanand2 97.24 27 drai 3.89 27 ISI-Neonatology 1.74 27 KSOM GHMF 77
28 AOC 97.22 28 vicorob UdG T1_F 3.90 28 MNAB2 1.77 28 UofL BioImaging 82
29 THUity 96.95 29 VIBOT10 M-T1+F 3.91 29 UofL BioImaging 1.81 29 SPM12_T1_IR_F* 85
30 ISI-Neonatology 96.92 30 BIGR2 3.93 30 CU_DL 1.83 30 ISI-Neonatology 89
31 CMIV 96.79 31 bigr_neuro 3.93 31 drai 1.85 31 THUity 90
32 UofL BioImaging 96.71 32 ISI-Neonatology 4.29 32 KSOM GHMF 1.95 32 S2_QM2 92
33 SPM12_T1_F* 96.59 33 CVSS 4.87 33 WTA2 1.98 33 drai 96
34 S2_QM2 96.44 34 VBM12 4.89 34 VBM12 2.37 34 CMIV 100
35 bigr_neuro 96.33 35 KM-MRF-MAS 5.08 35 S2_QM2 2.38 35 SPM12_T1_F* 101
36 KM-MRF-MAS 96.10 36 FSL-PVSeg* 5.29 36 CVSS 2.55 36 bigr_neuro 106
37 BIGR2 96.00 37 FSL-Seg* 5.29 37 KM-MRF-MAS 2.99 37 VBM12 107
38 drai 95.99 38 WTA 5.32 38 FSL-PVSeg* 3.37 38 KM-MRF-MAS 108
39 VBM12 95.95 39 CSIM-lab_Mqe-MMRF 6.09 39 FSL-Seg* 3.37 39 BIGR2 112
40 mlmi2014ss 95.84 40 S2_QM 6.49 40 bigr_neuro 3.46 40 CVSS 113
41 WTA 95.34 41 SPM12_T1_IR* 6.51 41 mlmi2014ss 3.60 41 FSL-PVSeg* 121
42 SPM12_T1* 95.28 42 FreeSurfer* 6.62 42 Narsil 3.69 42 FSL-Seg* 122
43 UB VPML Med 94.83 43 UB VPML Med 6.63 43 S2_QM 4.01 43 WTA 129
44 CVSS 94.62 44 LUH-TNT 6.85 44 CMIV 4.87 44 S2_QM 132
45 Jedi Mind Meld 94.26 45 MNAB 7.06 45 BIGR2 5.18 45 mlmi2014ss 133
46 FSL-Seg* 94.24 46 SJCE 7.31 46 SPM12_T1* 5.53 46 CSIM-lab_Mqe-MMRF 134
47 FSL-PVSeg* 94.24 47 THUity 7.67 47 CSIM-lab_Mqe-MMRF 6.47 47 SPM12_T1* 137
48 CSIM-lab_Mqe-MMRF 94.03 48 CSIM-Lab 8.09 48 SJCE 6.77 48 UB VPML Med 137
49 S2_QM 93.71 49 SPM12_T1* 8.09 49 Jedi Mind Meld 6.82 49 SJCE 144
50 SJCE 93.66 50 SPM12_T1_F* 8.21 50 WTA 6.86 50 LUH-TNT 148
51 LUH-TNT 93.18 51 SPM12_T1_IR_F* 8.23 51 UB VPML Med 7.67 51 Jedi Mind Meld 149
52 MNAB 92.52 52 mlmi2014ss 8.69 52 LNMBrains 7.88 52 MNAB 151
53 Narsil 92.49 53 ISTB UniBe 9.84 53 LUH-TNT 9.14 53 FreeSurfer* 152
54 FreeSurfer* 92.39 54 BCH_CRL_IMAGINE 11.34 54 MNAB 9.71 54 Narsil 153
55 CSIM-Lab 92.34 55 Jedi Mind Meld 20.34 55 CSIM-Lab 10.06 55 CSIM-Lab 158
56 LNMBrains 89.17 56 LNMBrains 20.36 56 FreeSurfer* 10.19 56 LNMBrains 164
57 ISTB UniBe 88.53 57 ECOESH 21.43 57 ISTB UniBe 17.52 57 ISTB UniBe 167
58 ECOESH 78.14 58 Narsil 23.65 58 ECOESH 30.13 58 ECOESH 173

DC = Dice Coefficient, HD = 95th percentile of Hausdorff Distance, AVD = Absolute Volume Difference
Score = Rank DC + Rank HD + Rank AVD





© 2013 Image Sciences Institute.