{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:58:31Z","timestamp":1743033511154,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319245522"},{"type":"electronic","value":"9783319245539"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","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":[[2015]]},"DOI":"10.1007\/978-3-319-24553-9_78","type":"book-chapter","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T06:01:29Z","timestamp":1443074489000},"page":"637-644","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme"],"prefix":"10.1007","author":[{"given":"Lo\u00efc","family":"Peter","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Pauly","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Chatelain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diana","family":"Mateus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"unstructured":"Breiman, L.: Random forests. Machine Learning (2001)","key":"78_CR1"},{"doi-asserted-by":"crossref","unstructured":"Criminisi, A., Shotton, J.: Decision Forests for Computer Vision and Medical Image Analysis (2013)","key":"78_CR2","DOI":"10.1007\/978-1-4471-4929-3"},{"key":"78_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-642-22092-0_16","volume-title":"Information Processing in Medical Imaging","author":"A. Montillo","year":"2011","unstructured":"Montillo, A., Shotton, J., Winn, J., Iglesias, J.E., Metaxas, D., Criminisi, A.: Entangled decision forests and their application for semantic segmentation of CT images. In: Sz\u00e9kely, G., Hahn, H.K. (eds.) IPMI 2011. LNCS, vol.\u00a06801, pp. 184\u2013196. Springer, Heidelberg (2011)"},{"key":"78_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1007\/978-3-642-40763-5_29","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"P. Chatelain","year":"2013","unstructured":"Chatelain, P., et al.: Learning from multiple experts with random forests: application to the segmentation of the midbrain in 3D ultrasound. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part II. LNCS, vol.\u00a08150, pp. 230\u2013237. Springer, Heidelberg (2013)"},{"key":"78_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/978-3-642-23626-6_30","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011","author":"O. Pauly","year":"2011","unstructured":"Pauly, O., Glocker, B., Criminisi, A., Mateus, D., M\u00f6ller, A.M., Nekolla, S., Navab, N.: Fast multiple organ detection and localization in whole-body MR dixon sequences. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol.\u00a06893, pp. 239\u2013247. Springer, Heidelberg (2011)"},{"key":"78_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1007\/978-3-319-10443-0_43","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"R. Gauriau","year":"2014","unstructured":"Gauriau, R., Cuingnet, R., Lesage, D., Bloch, I.: Multi-organ localization combining global-to-local regression and confidence maps. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part III. LNCS, vol.\u00a08675, pp. 337\u2013344. Springer, Heidelberg (2014)"},{"issue":"8","key":"78_CR7","doi-asserted-by":"publisher","first-page":"1262","DOI":"10.1016\/j.media.2014.06.010","volume":"18","author":"D. Zikic","year":"2014","unstructured":"Zikic, D., Glocker, B., Criminisi, A.: Encoding atlases by randomized classification forests for efficient multi-atlas label propagation. Medical Image Analysis\u00a018(8), 1262\u20131273 (2014)","journal-title":"Medical Image Analysis"},{"key":"78_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/978-3-319-10470-6_54","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"P. Kontschieder","year":"2014","unstructured":"Kontschieder, P., et al.: Quantifying progression of multiple sclerosis via classification of depth videos. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part II. LNCS, vol.\u00a08674, pp. 429\u2013437. Springer, Heidelberg (2014)"},{"key":"78_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/978-3-319-10470-6_53","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"T. Ebner","year":"2014","unstructured":"Ebner, T., Stern, D., Donner, R., Bischof, H., Urschler, M.: Towards automatic bone age estimation from MRI: Localization of 3D anatomical landmarks. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part II. LNCS, vol.\u00a08674, pp. 421\u2013428. Springer, Heidelberg (2014)"},{"key":"78_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1007\/978-3-642-38868-2_38","volume-title":"Information Processing in Medical Imaging","author":"N. Lay","year":"2013","unstructured":"Lay, N., Birkbeck, N., Zhang, J., Zhou, S.K.: Rapid multi-organ segmentation using context integration and discriminative models. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M., Z\u00f6llei, L. (eds.) IPMI 2013. LNCS, vol.\u00a07917, pp. 450\u2013462. Springer, Heidelberg (2013)"},{"doi-asserted-by":"crossref","unstructured":"Geremia, E., Menze, B.H., Ayache, N.: Spatially adaptive random forests. In: IEEE 10th International Symposium on Biomedical Imaging (ISBI), pp. 1344\u20131347 (2013)","key":"78_CR11","DOI":"10.1109\/ISBI.2013.6556781"},{"doi-asserted-by":"crossref","unstructured":"Viola, P., Jones, M.: Robust real-time face detection. IJCV (2004)","key":"78_CR12","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"doi-asserted-by":"crossref","unstructured":"Montillo, A., Tu, J., Shotton, J., Winn, J., Iglesias, J., Metaxas, D., Criminisi, A.: Entanglement and differentiable information gain maximization. In: Decision Forests for Computer Vision and Medical Image Analysis, pp. 273\u2013293. Springer (2013)","key":"78_CR13","DOI":"10.1007\/978-1-4471-4929-3_19"},{"key":"78_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/978-3-642-23626-6_45","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011","author":"S.-A. Ahmadi","year":"2011","unstructured":"Ahmadi, S.-A., Baust, M., Karamalis, A., Plate, A., Boetzel, K., Klein, T., Navab, N.: Midbrain segmentation in transcranial 3D ultrasound for parkinson diagnosis. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol.\u00a06893, pp. 362\u2013369. Springer, Heidelberg (2011)"},{"key":"78_CR15","series-title":"Lecture Notes in Computer Science","first-page":"1","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"L. Peter","year":"2014","unstructured":"Peter, L., Mateus, D., Chatelain, P., Schworm, N., Stangl, S., Multhoff, G., Navab, N.: Leveraging random forests for interactive exploration of large histological images. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part I. LNCS, vol.\u00a08673, pp. 1\u20138. Springer, Heidelberg (2014)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24553-9_78","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:05:07Z","timestamp":1601942707000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24553-9_78"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319245522","9783319245539"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24553-9_78","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"18 November 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}