{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T03:50:14Z","timestamp":1775965814194,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319661780","type":"print"},{"value":"9783319661797","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-66179-7_70","type":"book-chapter","created":{"date-parts":[[2017,9,3]],"date-time":"2017-09-03T19:24:46Z","timestamp":1504466686000},"page":"612-620","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs"],"prefix":"10.1007","author":[{"given":"Mohammad Arafat","family":"Hussain","sequence":"first","affiliation":[]},{"given":"Alborz","family":"Amir-Khalili","sequence":"additional","affiliation":[]},{"given":"Ghassan","family":"Hamarneh","sequence":"additional","affiliation":[]},{"given":"Rafeef","family":"Abugharbieh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,4]]},"reference":[{"issue":"9","key":"70_CR1","doi-asserted-by":"publisher","first-page":"E417","DOI":"10.1503\/cmaj.120833","volume":"185","author":"P Arora","year":"2013","unstructured":"Arora, P., Vasa, P., Brenner, D., Iglar, K., McFarlane, P., Morrison, H., Badawi, A.: Prevalence estimates of CKD in Canada: results of a nationally representative survey. Canadian Med. Assoc. Jour. 185(9), E417\u2013E423 (2013)","journal-title":"Canadian Med. Assoc. Jour."},{"issue":"9","key":"70_CR2","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1681\/ASN.2012040392","volume":"24","author":"AA Honeycutt","year":"2013","unstructured":"Honeycutt, A.A., Segel, J.E., Zhuo, X., Hoerger, T.J., Imai, K., Williams, D.: Medical costs of CKD in the Medicare population. J. Am. Soc. Nephro. 24(9), 1478\u20131483 (2013)","journal-title":"J. Am. Soc. Nephro."},{"issue":"1","key":"70_CR3","doi-asserted-by":"publisher","first-page":"c69","DOI":"10.1159\/000180122","volume":"111","author":"JO Connolly","year":"2009","unstructured":"Connolly, J.O., Woolfson, R.G.: A critique of clinical guidelines for detection of individuals with chronic kidney disease. Neph. Clin. Pract. 111(1), c69\u2013c73 (2009)","journal-title":"Neph. Clin. Pract."},{"key":"70_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1007\/978-3-319-47157-0_19","volume-title":"Machine Learning in Medical Imaging","author":"MA Hussain","year":"2016","unstructured":"Hussain, M.A., Hamarneh, G., O\u2019Connell, T.W., Mohammed, M.F., Abugharbieh, R.: Segmentation-free estimation of kidney volumes in CT with dual regression forests. In: Wang, L., Adeli, E., Wang, Q., Shi, Y., Suk, H.-I. (eds.) MLMI 2016. LNCS, vol. 10019, pp. 156\u2013163. Springer, Cham (2016). doi:10.1007\/978-3-319-47157-0_19"},{"key":"70_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1007\/978-3-642-18421-5_11","volume-title":"Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging","author":"A Criminisi","year":"2011","unstructured":"Criminisi, A., Shotton, J., Robertson, D., Konukoglu, E.: Regression forests for efficient anatomy detection and localization in CT studies. In: Menze, B., Langs, G., Tu, Z., Criminisi, A. (eds.) MCV 2010. LNCS, vol. 6533, pp. 106\u2013117. Springer, Heidelberg (2011). doi:10.1007\/978-3-642-18421-5_11"},{"issue":"8","key":"70_CR6","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1016\/j.media.2013.01.001","volume":"17","author":"A Criminisi","year":"2013","unstructured":"Criminisi, A., Robertson, D., Konukoglu, E., Shotton, J., Pathak, S., White, S., Siddiqui, K.: Regression forests for efficient anatomy detection and localization in computed tomography scans. Med. Image Ana. 17(8), 1293\u20131303 (2013)","journal-title":"Med. Image Ana."},{"key":"70_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/978-3-642-33454-2_9","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"R Cuingnet","year":"2012","unstructured":"Cuingnet, R., Prevost, R., Lesage, D., Cohen, L.D., Mory, B., Ardon, R.: Automatic detection and segmentation of kidneys in 3D CT images using random forests. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012. LNCS, vol. 7512, pp. 66\u201374. Springer, Heidelberg (2012). doi:10.1007\/978-3-642-33454-2_9"},{"key":"70_CR8","first-page":"12","volume-title":"Deep Learning and Data Labeling for Medical Applications","author":"Xiaoguang Lu","year":"2016","unstructured":"Lu, X., Xu, D., Liu, D.: Robust 3D Organ Localization with Dual Learning Architectures and Fusion. In: International Workshop on Large-Scale Annotation of Biomedical Data Expert Label Synthesis, pp. 12\u201320 (2016)"},{"key":"70_CR9","doi-asserted-by":"crossref","unstructured":"Yang, G., Gu, J., Chen, Y., Liu, W., Tang, L., Shu, H., Toumoulin, C.: Automatic kidney segmentation in CT images based on multi-atlas image registration. In: IEEE Engineering in Medicine and Biology, pp. 5538\u20135541 (2014)","DOI":"10.1109\/EMBC.2014.6944881"},{"key":"70_CR10","doi-asserted-by":"crossref","unstructured":"Jia, Y., E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: Convolutional architecture for fast feature embedding. In: ACM International Conference on Multimodal, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"issue":"6","key":"70_CR11","doi-asserted-by":"publisher","first-page":"1444.e15-1444.e","DOI":"10.1016\/j.urology.2014.03.005","volume":"83","author":"Nader Zakhari","year":"2014","unstructured":"Zakhari, N., Blew, B., Shabana, W.: Simplified method to measure renal volume: the best correction factor for the ellipsoid formula volume calculation in pretransplant CT live donor. Urology 83(6), 1444.e15\u20131444.e19 (2014)","journal-title":"Urology"},{"key":"70_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1007\/978-3-319-10470-6_73","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"X Zhen","year":"2014","unstructured":"Zhen, X., Wang, Z., Islam, A., Bhaduri, M., Chan, I., Li, S.: Direct estimation of cardiac Bi-ventricular volumes with regression forests. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 586\u2013593. Springer, Cham (2014). doi:10.1007\/978-3-319-10470-6_73"},{"issue":"1","key":"70_CR13","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1186\/1471-2288-14-135","volume":"14","author":"X Wan","year":"2014","unstructured":"Wan, X., Wang, W., Liu, J., Tong, T.: Estimating the sample mean and standard deviation from the sample size, median, range and\/or interquartile range. BMC Med. Res. Meth. 14(1), 135 (2014)","journal-title":"BMC Med. Res. Meth."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2212 MICCAI 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66179-7_70","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T14:38:22Z","timestamp":1750862302000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-66179-7_70"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319661780","9783319661797"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66179-7_70","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Quebec City, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.miccai2017.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}