The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

IEEE Transactions on Medical Imaging - Tập 34 Số 10 - Trang 1993-2024 - 2015
Bjoern Menze1, András Jakab2, Stefan Bauer3, Jayashree Kalpathy–Cramer4, Keyvan Farahani5, Justin Kirby5, Yuliya Burren6, Nicole Porz6, Johannes Slotboom6, Roland Wiest6, Levente Lánczi7, Elizabeth R. Gerstner4, Marc‐An dré Weber8,9, Tal Arbel10, Brian Avants11, Nicholas Ayache1, Patricia Buendia12, D. Louis Collins13, Nicolas Cordier1, Jason J. Corso14, Antonio Criminisi15, Tilak Das16, Hervé Delingette1, Arvind Satyanarayan17, Christopher R. Durst18, Michel Dojat19, Senan Doyle20, Joana Festa21, Florence Forbes20, Ezequiel Geremia1, Ben Glocker15, Polina Golland22, Xiaotao Guo23, Andaç Hamamcı24, Khan M. Iftekharuddin25, R. Jena26, Nigel John27, Ender Konukoğlu4, Danial Lashkari22, José Mariz21, Raphael Meier28, Sérgio Pereira21, Doina Precup29, Stephen J. Price30, Tammy Riklin Raviv22, Syed M. S. Reza25, Michael J. Ryan12, Duygu Sarıkaya31, Lawrence H. Schwartz23, Hoo-Chang Shin32, Jamie Shotton15, Carlos A. Silva21, Nuno Sousa33, Nagesh K. Subbanna29, Gábor Székely34, Owen Thomas12, Nicholas J. Tustison18, Gözde Ünal24, Flor Vasseur19, Max Wintermark35, Dong Hye Ye36, Liang Zhao14, Binsheng Zhao37, Darko Zikic15, Marcel Prastawa38, Mauricio Reyes3, Koen Van Leemput22,39
1ASCLEPIOS - Analysis and Simulation of Biomedical Images (2004 route des lucioles, BP93 06902 Sophia Antipolis Cedex - France)
2CIR lab - Computational Image Analysis and Radiology (Lazarettgasse 14 A-1090 Vienna - Austria)
3ISTB - Institute for Surgical Technology and Biomechanics [Bern] (University of Bern - Stauffacherstrasse 78 - 3014 Bern - Switzerland - Switzerland)
4Massachusetts General Hospital [Boston] (55 Fruit Street Boston, MA 02114 - United States)
5Department of Health and Human Services (United States)
6Inselspital Bern (Berne - Switzerland)
7University of Debrecen Egyetem [Debrecen] (Debrecen, Egyetem tér 1, 4032 Hongrie - Hungary)
8Diagnostic and Interventional Radiology [Heidelberg] (University Hospital, m Neuenheimer Feld 400 69120 Heidelberg - Germany)
9Division of Medical Physics in Radiology [Heidelberg] (German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280 69120 Heidelberg - Germany)
10CIM - Centre for Intelligent Machines (Centre for Intelligent Machines, McGill University, 817 Sherbrooke Street West, Montreal, Canada H3A 2K6 - Canada)
11PICSL - Penn Image Computing & Science Lab [Philadelphia] (Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 370, Philadelphia, PA 19104 - United States)
12INFOTECH Soft (1201 Brickell Ave, Suite 220 Miami, FL 33131 - United States)
13MNI - McConnell Brain Imaging Centre (3801 University Street Montreal Quebec - Canada)
14SUNY - State University of New York (United States)
15Microsoft - Microsoft Research [Cambridge] (Roger Needham Building 7 J J Thomson Ave Cambridge CB3 0FB, UK - United Kingdom)
16CUH - Cambridge University Hospitals - NHS (Foundation Trust Cambridge Biomedical Campus Hills Road Cambridge CB2 0QQ - United Kingdom)
17Computer Science Department [Stanford] (Stanford University, School of Engineering, 353 Jane Stanford Way, Stanford, CA 94305 - United States)
18Department of radiology and medical imaging [Charlottesville] (PO Box 800170 [FedEx:1215 Lee Street-New Hospital] Charlottesville, VA 22908 - United States)
19GIN - [GIN] Grenoble Institut des Neurosciences (Site Santé - Bâtiment Edmond J. Safra - Chemin Fortuné Ferrini 38706 La Tronche Cedex - France)
20MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems (Inria Grenoble - Rhône-Alpes 655 avenue de l'Europe - Montbonnot 38334 Saint Ismier Cedex - France)
21Universidade do Minho = University of Minho [Braga] (Largo do Paço, 4704-553 Braga - Portugal)
22CSAIL - Computer Science and Artificial Intelligence Laboratory [Cambridge] (The Stata Center, Building 32 32 Vassar Street Cambridge, MA 02139 - United States)
23Columbia University [New York] (Columbia University in the City of New York, 2960 Broadway, New York, NY 10027-6902 - United States)
24Sabanci University - Faculty of Engineering and Natural Sciences (Tuzla İstanbul 34956 - Turkey)
25ODU - Old Dominion University [Norfolk] (5115 Hampton Boulevard, Norfolk, VA 23529 - United States)
26Addenbrooke's Hospital (CB2 2QQ;Cambridge - United Kingdom)
27Bangor University (Bangor University Bangor, Gwynedd, LL57 2DG - United Kingdom)
28Department of Surgery (Cell Isolation and Transplantation Center, Geneva University Hospitals and University of Geneva, Geneva, Switzerland - Switzerland)
29McGill University = Université McGill [Montréal, Canada] (845, rue Sherbrooke O. Montréal (Québec) Canada H3A 0G4 - Canada)
30Bristol Glaciology Centre (University Road, University of Bristol, Bristol BS8 1SS, UK - United Kingdom)
31University at Buffalo, State University of New York, Buffalo, United States
32Molecular Carcinogenesis [Sutton] (15 Cotswold Rd, Belmont Sutton Surrey SM2 5NG - United Kingdom)
33CNC - Center for Neuroscience and Cell Biology (CNC) (Center for Neuroscience and Cell Biology University of Coimbra 3004-517 Coimbra - Portugal)
34Computer Vision Laboratory - ETHZ [Zurich] (Sternwartstrasse 7, ETH-Zentrum, CH-8092 Zürich, Switzerland - Switzerland)
35Department of Radiology [San Francisco] (Neuroradiology Section, , 505 Parnassus Avenue, Room L358, Box 0628, San Francisco, CA 94143-0628. - United States)
36Purdue University [West Lafayette] (Hovde Hall, 610 Purdue Mall, West Lafayette, IN 47907 - United States)
37Department of Computer Science [New York] (Department of Computer Science 450 Computer Science Building 1214 Amsterdam Avenue, Mailcode: 0401 New York - United States)
38SCI Institute - Scientific Computing and Imaging Institute (Warnock Engineering Building 72 South Campus Drive Room 3750 Salt Lake City, Utah 84112 - United States)
39Massachusetts General Hospital - Department of radiology (Massachusetts General Hospital Boston 40 Second Avenue The PARC Center Waltham, MA 02451 - United States)

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Tài liệu tham khảo

zikic, 2012, Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR, Proc MICCAI

wels, 2008, A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3D MRI, Proc MICCAI, 67

lefohn, 2003, Interactive, GPU-based level sets for 3D brain tumor segmentation, Proc MICCAI, 564

10.1109/ICCV.2007.4409130

10.1109/TMI.2010.2078833

parisot, 2012, Joint tumor segmentation and dense deformable registration of brain MR images, Proc MICCAI, 651

lee, 2008, Segmenting brain tumors using pseudo conditional random fields, Proc MICCAI, 359

10.1007/978-3-540-74936-3_23

10.1109/ICPR.2002.1044788

10.1016/j.acra.2008.01.029

10.1016/S1076-6332(03)00506-3

10.1109/ICPR.2002.1044787

10.1109/TMI.2012.2210558

10.1016/S0896-6273(02)00569-X

10.1109/TMI.2008.916954

10.1016/j.neuroimage.2005.02.018

10.1007/3-540-45786-0_48

10.1109/TMI.2004.834618

dempster, 1977, Maximum likelihood from incomplete data via the EM algorithm, J R Stat Soc, 39, 1, 10.1111/j.2517-6161.1977.tb01600.x

10.1016/j.neuroimage.2008.03.028

besag, 1986, On the statistical analysis of dirty pictures, J R Stat Soc, 259, 10.1111/j.2517-6161.1986.tb01412.x

10.1109/42.938237

menze, 2012, Segmenting glioma in multi-modal images using a generative model for brain lesion segmentation, Proc MICCAI-BRATS, 1

zikic, 2012, Context-sensitive classification forests for segmentation of brain tumor tissues, Proc MICCAI-BRATS, 22

10.3389/fnins.2013.00162

10.1109/TMI.2007.912817

10.1109/CVPR.2009.5206812

10.1016/j.media.2010.05.004

riklin-raviv, 2009, Joint segmentation via patient-specific latent anatomy model, Proc MICCAI-PMMIA, 244

bauer, 2013, Integrated spatio-temporal segmentation of longitudinal brain tumor imaging studies, Proc MICCAI-MCV, 122

10.1109/TIP.2014.2336544

10.5244/C.27.27

geremia, 2010, Spatial decision forests for MS lesion segmentation in multi-channel MR images, Proc MICCAI

10.1016/j.ejca.2008.10.026

louis, 2007, WHO Classification of Tumours of the Central Nervous System

10.2174/157340507782446241

10.1200/JCO.2009.26.3541

kaus, 1999, Segmentation of meningiomas and low grade gliomas in MRI, Proc MICCAI, 1

10.1109/ISBI.2013.6556791

10.1088/0031-9155/58/13/R97

10.1016/S0933-3657(00)00073-7

10.1007/978-1-4471-4929-3

10.1007/BF00994018

roy, 2011, A compressed sensing approach for MR tissue contrast synthesis, Proc IPMI, 371

iglesias, 2013, Is synthesizing MRI contrast useful for inter-modality analysis?, Proc MICCAI, 631

10.1109/ISBI.2013.6556781

10.1016/j.neuroimage.2011.03.080

wu, 2013, Brain tumor detection and segmentation in a conditional random fields framework with pixel-pairwise affinity and superpixel-level features, Int J Comput Assist Radiol Surg, 1

bauer, 2011, Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization, Proc MICCAI, 354

10.1109/TPAMI.2004.1262177

10.1109/TPAMI.2004.60

10.1016/j.neuroimage.2010.09.025

10.1007/s12021-011-9109-y

10.1007/978-3-642-15745-5_19

10.1109/TMI.2011.2181857

10.1023/A:1007963824710

10.1016/j.acra.2007.05.025

10.1109/34.969114

10.1016/S1076-6332(03)00671-8

10.1016/j.media.2008.11.002

10.1109/TPAMI.2012.120

clatz, 2004, Brain Tumor Growth Simulation

ibanez, 2003, The ITK Software Guide

bauer, 2012, A skull-stripping filter for ITK, Insight J, 70

10.1023/B:VISI.0000013087.49260.fb

10.1109/34.969114

cocosco, 1997, Brainweb: Online interface to a 3D MRI simulated brain database, NeuroImage, 301

10.1109/CVPR.2011.5995316

10.1109/TMI.2006.883453

10.1016/j.neuroimage.2008.10.066

10.1016/j.media.2009.06.003

metz, 2008, 3D segmentation in the clinic: A grand challenge II-coronary artery tracking, Insight J, 1, 6

10.1016/j.media.2011.02.004

10.1109/TMI.2009.2013851

van ginneken, 2007, 3D segmentation in the clinic: A grand challenge, 3-D Segmentation In The Clinic A Grand Challenge, 7

10.1109/TMI.2009.2033909

10.1109/TMI.2012.2209674

10.1016/j.neuroimage.2011.09.012

ohgaki, 2005, Population-based studies on incidence, survival rates, and genetic alterations in astrocytic and oligodendroglial gliomas, J Neuropathol Exp Neurol, 64, 479, 10.1093/jnen/64.6.479

10.1109/TMI.2004.828354

10.1097/00019052-200112000-00002

10.1023/A:1011126920638

10.1016/j.neuroimage.2010.09.018

10.1109/TBME.2013.2271383

10.1109/TMI.2009.2014372

10.1109/TITB.2011.2104376

10.1016/j.neuroimage.2013.02.069

bauer, 2011, Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization, Proc MICCAI, 14

10.1007/978-3-642-40760-4_67

laws, 1980, Rapid texture identification, Proc 24th Annu Tech Symp, 376

10.1016/j.cmpb.2011.07.015

10.1109/42.836373

10.1109/TMI.2011.2156806

10.1109/TMI.2010.2046908

10.1016/S0031-3203(02)00027-4

10.1109/ICMLA.2011.38

shin, 2012, Hybrid clustering and logistic regression for multi-modal brain tumor segmentation, Proc Workshops Challanges MICCAI

breiman, 2001, Random forests, Mach Learn J, 45, 5, 10.1023/A:1010933404324

zikic, 2012, Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR, Proc MICCAI, 369

10.1109/TIP.2011.2158229

wang, 2011, Optimal weights for multi-atlas label fusion, Proc Inf Process Med Imag, 73

10.1007/978-3-642-40760-4_69

tsai, 2005, Automatic MRI meningioma segmentation using estimation maximization, Proc IEEE Eng Med Biol Soc, 3, 3074

10.1109/ISBI.2008.4541120

10.1016/j.cmpb.2006.08.003

10.1016/j.media.2011.07.001

styner, 2008, 3D segmentation in the clinic: A grand challenge II: MS lesion segmentation, Midas J, 1

10.1109/42.811268

10.1097/00004728-199403000-00005

10.1148/radiology.218.2.r01fe44586

tustison, 2010, N4ITK: Nick's N3 ITK implementation for MRI bias field correction, Insight J, 1

10.1002/(SICI)1522-2594(200004)43:4<589::AID-MRM14>3.0.CO;2-2

10.1016/j.media.2004.06.007

10.1016/j.media.2006.06.005

pohl, 2005, A unifying approach to registration, segmentation, and intensity correction, Proc MICCAI, 310

10.1016/j.neuroimage.2007.04.031

10.1016/j.media.2005.09.004

kaster, 2010, Comparative validation of graphical models for learning tumor segmentations from noisy manual annotations, Proc MICCAI-MCV

hastie, 2009, The Elements of Statistical Learning, 10.1007/978-0-387-84858-7

krizhevsky, 2012, Imagenet classification with deep convolutional neural networks, Proc Neural Inf Process Syst, 1106

10.1109/TPAMI.2012.277

subbanna, 2012, Probabilistic Gabor and Markov random fields segmentation of brain tumours in MRI volumes, Proc MICCAI Brain Tumor Segmentat Challenge, 28

10.2196/jmir.2930

10.1007/978-3-642-40811-3_94

10.1109/TSP.2007.896100

criminisi, 2011, Decision Forests for Classification Regression Density Estimation Manifold Learning and Semi-supervised Learning, 10.1561/9781601985415

10.1038/nature10836

10.1016/j.neuroimage.2009.09.062

10.1016/j.neuroimage.2010.11.047

10.1371/journal.pone.0096873

10.1007/978-3-642-38082-2_9

bauer, 2012, Segmentation of brain tumor images based on integrated hierarchical classification and regularization, Proc MICCAI-BRATS, 32

10.1016/j.cviu.2008.06.007

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IEEE Transactions on Medical Imaging

Tập 34 Số 10

1993-2024

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