{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:33:33Z","timestamp":1778603613042,"version":"3.51.4"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319308579","type":"print"},{"value":"9783319308586","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-30858-6_12","type":"book-chapter","created":{"date-parts":[[2016,3,18]],"date-time":"2016-03-18T15:13:12Z","timestamp":1458313992000},"page":"131-143","source":"Crossref","is-referenced-by-count":67,"title":["Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI"],"prefix":"10.1007","author":[{"given":"S\u00e9rgio","family":"Pereira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adriano","family":"Pinto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Alves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos A.","family":"Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Agn, M., Puonti, O., Law, I., af Rosensch\u00f6ld, P.M., van Leemput, K.: Brain tumor segmentation by a generative model with a prior on tumor shape. In: Proceeding of the Multimodal Brain Tumor Image Segmentation Challenge, pp. 1\u20134 (2015)","DOI":"10.1007\/978-3-319-30858-6_15"},{"key":"12_CR2","unstructured":"Bakas, S., Zeng, K., Sotiras, A., Rathore, S., Akbari, H., Gaonkar, B., Rozycki, M., Pati, S., Davazikos, C.: Segmentation of gliomas in multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework. In: Proceeding of the Multimodal Brain Tumor Image Segmentation Challenge, pp. 5\u201312 (2015)"},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1007\/978-3-642-23626-6_44","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011","author":"S Bauer","year":"2011","unstructured":"Bauer, S., Nolte, L.-P., Reyes, M.: Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 354\u2013361. Springer, Heidelberg (2011)"},{"issue":"13","key":"12_CR4","doi-asserted-by":"publisher","first-page":"R97","DOI":"10.1088\/0031-9155\/58\/13\/R97","volume":"58","author":"S Bauer","year":"2013","unstructured":"Bauer, S., Wiest, R., Nolte, L.P., Reyes, M.: A survey of mri-based medical image analysis for brain tumor studies. Phys. Med. Biol. 58(13), R97 (2013)","journal-title":"Phys. Med. Biol."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Warde-Farley, D., Bengio, Y.: Theano: a CPU and GPU math expression compiler. In: Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010","DOI":"10.25080\/Majora-92bf1922-003"},{"issue":"3","key":"12_CR6","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297\u2013302 (1945)","journal-title":"Ecology"},{"key":"12_CR7","unstructured":"Dieleman, S., Schlter, J., Raffel, C., Olson, E., Snderby, S.K., Nouri, D., Maturana, D., Thoma, M., Battenberg, E., Kelly, J., Fauw, J.D., Heilman, M., diogo149, McFee, B., Weideman, H., takacsg84, peterderivaz, Jon, instagibbs, Rasul, D.K., CongLiu, Britefury, Degrave, J.: Lasagne: First release, August 2015. http:\/\/dx.doi.org\/10.5281\/zenodo.27878"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Dvor\u00e1k, P., Menze, B.: Structured prediction with convolutional neural networks for multimodal brain tumor segmentation. In: Proceeding of the Multimodal Brain Tumor Image Segmentation Challenge, pp. 13\u201324 (2015)","DOI":"10.1007\/978-3-319-42016-5_6"},{"issue":"10","key":"12_CR9","doi-asserted-by":"publisher","first-page":"1941","DOI":"10.1109\/TMI.2012.2210558","volume":"31","author":"A Gooya","year":"2012","unstructured":"Gooya, A., Pohl, K.M., Bilello, M., Cirillo, L., Biros, G., Melhem, E.R., Davatzikos, C.: Glistr: glioma image segmentation and registration. IEEE Trans. Med. Imaging 31(10), 1941\u20131954 (2012)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"12_CR10","unstructured":"Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P.M., Larochelle, H.: Brain tumor segmentation with deep neural networks. arXiv preprint (2015). arXiv:1505.03540"},{"issue":"11","key":"12_CR11","doi-asserted-by":"publisher","first-page":"e245","DOI":"10.2196\/jmir.2930","volume":"15","author":"M Kistler","year":"2013","unstructured":"Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R., B\u00fcchler, P.: The virtual skeleton database: an open access repository for biomedical research and collaboration. J. Med. Internet Res. 15(11), e245 (2013). http:\/\/www.jmir.org\/2013\/11\/e245\/","journal-title":"J. Med. Internet Res."},{"key":"12_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1007\/978-3-319-10404-1_95","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"D Kwon","year":"2014","unstructured":"Kwon, D., Shinohara, R.T., Akbari, H., Davatzikos, C.: Combining generative models for multifocal glioma segmentation and registration. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part I. LNCS, vol. 8673, pp. 763\u2013770. Springer, Heidelberg (2014)"},{"issue":"7553","key":"12_CR13","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"12_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/978-3-540-85988-8_43","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2008","author":"C-H Lee","year":"2008","unstructured":"Lee, C.-H., Wang, S., Murtha, A., Brown, M.R.G., Greiner, R.: Segmenting brain tumors using pseudo\u2013conditional random fields. In: Metaxas, D., Axel, L., Fichtinger, G., Sz\u00e9kely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 359\u2013366. Springer, Heidelberg (2008)"},{"key":"12_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/978-3-319-19665-7_17","volume-title":"Image Analysis","author":"M Lyksborg","year":"2015","unstructured":"Lyksborg, M., Puonti, O., Agn, M., Larsen, R.: An ensemble of 2D convolutional neural networks for tumor segmentation. In: Paulsen, R.R., Pedersen, K.S. (eds.) SCIA 2015. LNCS, vol. 9127, pp. 201\u2013211. Springer, Heidelberg (2015)"},{"key":"12_CR16","unstructured":"Maas, A.L., Hannun, A.Y., Ng, A.Y.: Rectifier nonlinearities improve neural network acoustic models. In: Proceedings of the ICML, vol. 30 (2013)"},{"key":"12_CR17","unstructured":"Meier, R., Bauer, S., Slotboom, J., Wiest, R., Reyes, M.: Appearance-and context-sensitive features for brain tumor segmentation. In: BraTS Challenge Manuscripts, pp. 20\u201326 (2014)"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Meier, R., Karamitsou, V., Habegger, S., Wiest, R., Reyes, M.: Parameter learning for crf-based tissue segmentation of brain tumors. In: Proceeding of the Multimodal Brain Tumor Image Segmentation Challenge, pp. 48\u201351 (2015)","DOI":"10.1007\/978-3-319-30858-6_14"},{"issue":"10","key":"12_CR19","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","volume":"34","author":"B Menze","year":"2015","unstructured":"Menze, B., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., Lanczi, L., Gerstner, E., Weber, M.A., Arbel, T., Avants, B., Ayache, N., Buendia, P., Collins, D., Cordier, N., Corso, J., Criminisi, A., Das, T., Delingette, H., Demiralp, C., Durst, C., Dojat, M., Doyle, S., Festa, J., Forbes, F., Geremia, E., Glocker, B., Golland, P., Guo, X., Hamamci, A., Iftekharuddin, K., Jena, R., John, N., Konukoglu, E., Lashkari, D., Mariz, J., Meier, R., Pereira, S., Precup, D., Price, S., Riklin Raviv, T., Reza, S., Ryan, M., Sarikaya, D., Schwartz, L., Shin, H.C., Shotton, J., Silva, C., Sousa, N., Subbanna, N., Szekely, G., Taylor, T., Thomas, O., Tustison, N., Unal, G., Vasseur, F., Wintermark, M., Ye, D.H., Zhao, L., Zhao, B., Zikic, D., Prastawa, M., Reyes, M., Van Leemput, K.: The multimodal brain tumor image segmentation benchmark (brats). IEEE Trans. Med. Imaging 34(10), 1993\u20132024 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"12_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-642-15745-5_19","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"BH Menze","year":"2010","unstructured":"Menze, B.H., van Leemput, K., Lashkari, D., Weber, M.-A., Ayache, N., Golland, P.: A generative model for brain tumor segmentation in multi-modal images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part II. LNCS, vol. 6362, pp. 151\u2013159. Springer, Heidelberg (2010)"},{"issue":"2","key":"12_CR21","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/42.836373","volume":"19","author":"LG Ny\u00fal","year":"2000","unstructured":"Ny\u00fal, L.G., Udupa, J.K., Zhang, X.: New variants of a method of mri scale standardization. IEEE Trans. Med. Imaging 19(2), 143\u2013150 (2000)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Pinto, A., Pereira, S., Correia, H., Oliveira, J., Rasteiro, D.M., Silva, C.A.: Brain tumour segmentation based on extremely randomized forest with high-level features. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3037\u20133040. IEEE (2015)","DOI":"10.1109\/EMBC.2015.7319032"},{"issue":"3","key":"12_CR23","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.media.2004.06.007","volume":"8","author":"M Prastawa","year":"2004","unstructured":"Prastawa, M., Bullitt, E., Ho, S., Gerig, G.: A brain tumor segmentation framework based on outlier detection. Med. Image Anal. 8(3), 275\u2013283 (2004)","journal-title":"Med. Image Anal."},{"key":"12_CR24","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint. (2014). arXiv:1409.1556"},{"issue":"1","key":"12_CR25","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"issue":"6","key":"12_CR26","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1109\/TMI.2010.2046908","volume":"29","author":"NJ Tustison","year":"2010","unstructured":"Tustison, N.J., Avants, B.B., Cook, P.A., Zheng, Y., Egan, A., Yushkevich, P.A., Gee, J.C.: N4itk: improved n3 bias correction. IEEE Trans. Med. Imaging 29(6), 1310\u20131320 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Tustison, N.J., Shrinidhi, K., Wintermark, M., Durst, C.R., Kandel, B.M., Gee, J.C., Grossman, M.C., Avants, B.B.: Optimal symmetric multimodal templates and concatenated random forests for supervised brain tumor segmentation (simplified) with antsr. Neuroinformatics pp. 1\u201317 (2014)","DOI":"10.1007\/s12021-014-9245-2"},{"key":"12_CR28","unstructured":"Urban, G., Bendszus, M., Hamprecht, F., Kleesiek, J.: Multi-modal brain tumor segmentation using deep convolutional neural networks. In: MICCAI Brain Tumor Segmentation Challenge (BraTS), pp. 1\u20135 (2014)"},{"issue":"3","key":"12_CR29","doi-asserted-by":"publisher","first-page":"166","DOI":"10.3322\/caac.20069","volume":"60","author":"EG Meir Van","year":"2010","unstructured":"Van Meir, E.G., Hadjipanayis, C.G., Norden, A.D., Shu, H.K., Wen, P.Y., Olson, J.J.: Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma. CA Cancer J. Clin. 60(3), 166\u2013193 (2010)","journal-title":"CA Cancer J. Clin."},{"key":"12_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/978-3-642-33454-2_46","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"D Zikic","year":"2012","unstructured":"Zikic, D., Glocker, B., Konukoglu, E., Criminisi, A., Demiralp, C., Shotton, J., Thomas, O.M., Das, T., Jena, R., Price, S.J.: Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol. 7512, pp. 369\u2013376. Springer, Heidelberg (2012)"}],"container-title":["Lecture Notes in Computer Science","Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-30858-6_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T09:32:27Z","timestamp":1600335147000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-30858-6_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319308579","9783319308586"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-30858-6_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}