{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T05:55:24Z","timestamp":1780379724441,"version":"3.54.1"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T00:00:00Z","timestamp":1519344000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T00:00:00Z","timestamp":1519344000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Combining imaging biomarkers with genomic and clinical phenotype data is the foundation of precision medicine research efforts. Yet, biomedical imaging research requires unique infrastructure compared with principally text-driven clinical electronic medical record (EMR) data. The issues are related to the binary nature of the file format and transport mechanism for medical images as well as the post-processing image segmentation and registration needed to combine anatomical and physiological imaging data sources. The SiiM Machine Learning Committee was formed to analyze the gaps and challenges surrounding research into machine learning in medical imaging and to find ways to mitigate these issues. At the 2017 annual meeting, a whiteboard session was held to rank the most pressing issues and develop strategies to meet them. The results, and further reflections, are summarized in this paper.<\/jats:p>","DOI":"10.1007\/s10278-017-0043-x","type":"journal-article","created":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T16:48:44Z","timestamp":1519404524000},"page":"275-282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Collaborative and Reproducible Research: Goals, Challenges, and Strategies"],"prefix":"10.1007","volume":"31","author":[{"given":"Steve G.","family":"Langer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George","family":"Shih","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Nagy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bennet A.","family":"Landman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,2,23]]},"reference":[{"key":"43_CR1","unstructured":"HIPAA\/HITECH Omnibus Final Rule, last viewed November 2017, \n                    https:\/\/www.gpo.gov\/fdsys\/pkg\/FR-2013-01-25\/pdf\/2013-01073.pdf"},{"issue":"9","key":"43_CR2","doi-asserted-by":"publisher","first-page":"e0162721","DOI":"10.1371\/journal.pone.0162721","volume":"11","author":"Zhan Ye","year":"2016","unstructured":"Ye Z, Tafti AP, He KY, Wang K, He MM: SparkText: Biomedical Text Mining on Big Data Framework. PLoS One 11(9):\u2013e0162721, 2016","journal-title":"PLOS ONE"},{"issue":"2","key":"43_CR3","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s10278-010-9311-8","volume":"24","author":"SG Langer","year":"2011","unstructured":"Langer SG: Challenges for data storage in medical imaging research. J Digit Imaging 24(2):203\u2013207, 2011. \n                    https:\/\/doi.org\/10.1007\/s10278-010-9311-8","journal-title":"J Digit Imaging"},{"key":"43_CR4","unstructured":"Jung K, Brown A: Beginning LUA programming. Wiley Publishing, 2007"},{"key":"43_CR5","unstructured":"Beginner Guide to Oracle Grid Engine. Last viewed November 2017. \n                    http:\/\/www.oracle.com\/technetwork\/oem\/host-server-mgmt\/twp-gridengine-beginner-167116.pdf"},{"key":"43_CR6","unstructured":"Miner D: Hadoop: What you Need to Know. O\u2019Reilly Media, 2016"},{"key":"43_CR7","unstructured":"Williams ML: Getting Started with Deep Learning Using Keras and Python. O\u2019Reilly Media, 2016"},{"key":"43_CR8","unstructured":"Adams L: Introduction to Deep Learning Models with TensorFlow. O\u2019Reilly Media, 2017."},{"key":"43_CR9","unstructured":"Gardner M: Beginning R. Wiley Publishing, 2012"},{"key":"43_CR10","unstructured":"HIPAA\/HITECH Op cit [1]"},{"issue":"4","key":"43_CR11","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.imavis.2014.02.001","volume":"32","author":"Apurva Bedagkar-Gala","year":"2014","unstructured":"Bedagkar-Gala A, Shah SK: A survey of approaches and trends in person re-identification. Image Vis Comput 32(4):270\u2013286","journal-title":"Image and Vision Computing"},{"key":"43_CR12","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s10278-016-9913-x","volume":"30","author":"SG Langer","year":"2017","unstructured":"Langer SG: Cyber-security Issues in Healthcare Information Technology. J Digit Imaging 30:117\u2013125, 2017. \n                    https:\/\/doi.org\/10.1007\/s10278-016-9913-x","journal-title":"J Digit Imaging"},{"key":"43_CR13","unstructured":"The Cancer Imaging Archive. Last viewed December 2017. \n                    http:\/\/www.cancerimagingarchive.net"},{"issue":"3","key":"43_CR14","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1007\/s10489-011-0287-y","volume":"36","author":"C Bunkhumpornpat","year":"2012","unstructured":"Bunkhumpornpat C, Sinapiromsaran K, Lursinsap C: Dbsmote: density-based synthetic minority over-sampling technique. Appl Intell 36(3):664\u2013684, 2012","journal-title":"Appl Intell"},{"key":"43_CR15","unstructured":"Data augmentation. Last viewed December 2017. \n                    https:\/\/medium.com\/towards-data-science\/image-augmentation-for-deep-learning-using-keras-and-histogram-equalization-9329f6ae5085"},{"key":"43_CR16","unstructured":"Chronic Disease States (as related to sparse datasets): Last viewed December 2017. \n                    https:\/\/www.health.ny.gov\/diseases\/chronic\/"},{"key":"43_CR17","unstructured":"C-MIMI: Last viewed December 2017, 2017. \n                    http:\/\/siim.org\/page\/2017cmimi_hipaa\/2017-C-MIMI---HIPAA-Disclosure.htm"},{"key":"43_CR18","unstructured":"The Cancer Imaging Archive: Application Programming Interface. Last viewed December 2017 \n                    https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/TCIA+Programmatic+Interface+%28REST+API%29+Usage+Guide"},{"key":"43_CR19","doi-asserted-by":"crossref","unstructured":"Alfaro-Almagro F, Jenkenson M, Bangerter NK, et al: Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage,. ScienceDirect Last viewed November 2017. \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811917308613?via%3Dihub","DOI":"10.1016\/j.neuroimage.2017.10.034"},{"key":"43_CR20","unstructured":"SiiM Machine Learning Committee. Last viewed December 2017 \n                    https:\/\/github.com\/ImagingInformatics\/machine-learning"},{"key":"43_CR21","unstructured":"McKendrick R, Gallagher S: Mastering Docker, 2nd edition. Packt Publishing, 2017"},{"key":"43_CR22","unstructured":"Docker runtime download. Last viewed December 2017 \n                    https:\/\/www.docker.com\/products\/docker-toolbox"},{"key":"43_CR23","unstructured":"SiiM Machine Learning Committee HowTos. Last viewed December 2017 \n                    https:\/\/github.com\/ImagingInformatics\/machine-learning\/tree\/master\/Documentation"},{"key":"43_CR24","unstructured":"Bone Age Challenge. Last viewed December 2017. \n                    https:\/\/www.youtube.com\/watch?v=TG0eJNc8UB0"},{"issue":"1","key":"43_CR25","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/s10278-017-0003-5","volume":"31","author":"Marc Kohli","year":"2017","unstructured":"Kohli M, Morrison JJ, Wawira J, Morgan MB, Hostetter J, Genereaux B, Hussein M, Langer SG: Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset. J Digit Imaging, 2017. \n                    https:\/\/doi.org\/10.1007\/s10278-017-0003-5","journal-title":"Journal of Digital Imaging"}],"updated-by":[{"DOI":"10.1007\/s10278-018-0164-x","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T00:00:00Z","timestamp":1550188800000}}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-017-0043-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-017-0043-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-017-0043-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,16]],"date-time":"2020-09-16T15:43:25Z","timestamp":1600271005000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-017-0043-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,23]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["43"],"URL":"https:\/\/doi.org\/10.1007\/s10278-017-0043-x","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s10278-018-0164-x","asserted-by":"object"}]},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2,23]]},"assertion":[{"value":"23 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 February 2019","order":2,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":3,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The paper below had been published originally without open access, but has been republished with open access.","order":4,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}}]}}