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The 12th International Conference on Learning and Intelligent Optimization (LION) ==Topics== * Imaging related decision making and computer-aided diagnosis * Multi-modal Clinical Decision Support * Machine learning / deep learning for medical image analysis * Early detection and diagnosis of diseases * Big data analytics in healthcare * Data mining with interpretable models * Enhanced imaging diagnostics * Behavioral analysis with wearables * Variable selection over high dimensional heath related data * Personalized diagnosis and treatment * Drug Discovery using unsupervised learning * Computational Methods in Molecular Biology ==Submissions== Paper Format: Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF. Types of Submissions: When submitting a paper to LION12, authors are required to select one of the following three types of papers: * Long paper: original novel and unpublished work (max. 15 pages in LNCS format); * Short paper: an extended abstract of novel work (max. 4 pages in LNCS format); * Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference. Submission System: All papers must be submitted using Easy Chair at the following link: LION 12 Submission System: When submitting a paper, authors will be asked to choose the general track or any of the special sessions organized within the conference: *General track; *Special sessions. ==Important Dates== December 15, 2017 January 15, 2018: Paper submission (N.B.: NO other extensions will be granted!)<br> February 15, 2018: Author Notification<br> March 19, 2018: Camera ready for pre-proceedings, send all source files to Dimitris Souravlias<br> Please use the subject line "LION 12 pre-proceedings source files, paper ID".<br> March 31, 2018: Registration opens<br> June 10-15, 2018: Conference<br> July 15, 2018: Submission of camera-ready papers, formatted according to Springer's LNCS guidelines<br>
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