{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T17:00:45Z","timestamp":1775667645673,"version":"3.50.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319555232","type":"print"},{"value":"9783319555249","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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-55524-9_8","type":"book-chapter","created":{"date-parts":[[2017,4,11]],"date-time":"2017-04-11T00:18:56Z","timestamp":1491869936000},"page":"75-87","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields"],"prefix":"10.1007","author":[{"given":"Xiaomei","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Yihong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Guidong","family":"Song","sequence":"additional","affiliation":[]},{"given":"Zhenye","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Yazhuo","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,4,12]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","volume":"34","author":"BH Menze","year":"2015","unstructured":"Menze, B.H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34, 1993\u20132024 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"97","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, 97\u2013129 (2013)","journal-title":"Phys. Med. Biol."},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1109\/TMI.2015.2463078","volume":"35","author":"M Goetz","year":"2016","unstructured":"Goetz, M., Weber, C., Binczyk, F., Polanska, J., Tarnawski, R., Bobek-Billewicz, B., Koethe, U., Kleesiek, J., Stieltjes, B., Maier-Hein, K.H.: DALSA: domain adaptation for supervised learning from sparsely annotated MR images. IEEE Trans. Med. Imaging 35, 184\u2013196 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"8_CR4","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, 275\u2013283 (2004)","journal-title":"Med. Image Anal."},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Cobzas, D., Birkbeck, N., Schmidt, M., Jagersand, M., Murtha, A.: 3D variational brain tumor segmentation using a high dimensional feature set. In: IEEE 11th International Conference on Computer Vision, pp. 1\u20138 (2007)","DOI":"10.1109\/ICCV.2007.4409130"},{"key":"8_CR6","unstructured":"Goetz, M., Weber, C., Bloecher, J., Stieltjes, B., Meinzer, H.-P., Maier-Hein, K.: Extremely randomized trees based brain tumor segmentation. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 6\u201311 (2014)"},{"key":"8_CR7","unstructured":"Kleesiek, J., Biller, A., Urban, G., Kothe, U., Bendszus, M., Hamprecht, F.: Ilastik for multi-modal brain tumor segmentation. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 12\u201317 (2014)"},{"key":"8_CR8","unstructured":"Davy, A., Havaei, M., Warde-farley, D., Biard, A., Tran, L., Jodoin, P.-M., Courville, A., Larochelle, H., Pal, C., Bengio, Y.: Brain tumor segmentation with deep neural networks. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 1\u20135 (2014)"},{"key":"8_CR9","unstructured":"Urban, G., Bendszus, M., Hamprecht, F., Kleesiek, J.: Multi-modal brain tumor segmentatioin using deep convolutional neural networks. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 31\u201335 (2014)"},{"key":"8_CR10","unstructured":"Zikic, D., Ioannou, Y., Brown, M., Criminisi, A.: Segmentation of brain tumor tissues with convolutional neural networks. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 36\u201339 (2014)"},{"key":"8_CR11","unstructured":"Dvorak, P., Menze, B.H.: Structured prediction with convolutional neural networks for multimodal brain tumor segmentation. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 13\u201324 (2015)"},{"key":"8_CR12","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.media.2016.05.004","volume":"35","author":"M Havaei","year":"2017","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. Med. Image Anal. 35, 18\u201331 (2017)","journal-title":"Med. Image Anal."},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Vaidhya, K., Thirunavukkarasu, S., Alex, V., Krishnamurthi, G.: Multi-modal brain tumor segmentation using stacked denoising autoencoders. In: Proceedings MICCAI BraTS (Brain Tumor Segmentation Challenge), pp. 60\u201364 (2015)","DOI":"10.1007\/978-3-319-30858-6_16"},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1109\/TMI.2016.2538465","volume":"35","author":"S Pereira","year":"2016","unstructured":"Pereira, S., Pinto, A., Alves, V., Silva, C.A.: Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans. Med. Imaging 35, 1240\u20131251 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.: Conditional random fields as recurrent neural networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1529\u20131537 (2015)","DOI":"10.1109\/ICCV.2015.179"},{"key":"8_CR16","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, 1310\u20131320 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"8_CR17","unstructured":"Kr\u00e4henb\u00fchl, P., Koltun, V.: Efficient inference in fully connected CRFs with Gaussian edge potentials. NIPS (2011)"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"}],"container-title":["Lecture Notes in Computer Science","Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-55524-9_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T01:55:21Z","timestamp":1558317321000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-55524-9_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319555232","9783319555249"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-55524-9_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"12 April 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BrainLes","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwb2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.brainlesion-workshop.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}