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<div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Dear Colleagues,</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">The paper submission deadline for<span> </span><a href="https://mlcn2018.com/" target="_blank" style="color:rgb(17,85,204)">MLCN 2018</a><span> </span>workshop has been extended to June 25, 2018. </div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">------------------------------<wbr>------------------------------<wbr>------------------------------<wbr>------------------------</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">CALL FOR PAPERS:</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Recent advances in neuroimaging and statistical machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. MLCN 2018 workshop, as a satellite event of MICCAI 2018, aims to bring together researchers in both theory and application from various fields in domains of spatial statistics, pattern recognition in neuroimaging, and predictive clinical neuroscience. Topics of interests include but are not limited to:</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Applications of spatio-temporal modeling in predictive clinical neuroscience</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Spatial regularization in decoding clinical neuroimaging data</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Spatial statistics in neuroimaging</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Learning with structured inputs and outputs in clinical neuroscience</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Multi-task learning in analyzing structured neuroimaging data</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Deep learning in analyzing structured neuroimaging data</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">        - Model stability and interpretability in clinical neuroscience</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">------------------------------<wbr>------------------------------<wbr>-----------------------------<span style="font-size:12.8px">-</span><span style="font-size:12.8px"><wbr>---------------------------</span></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">CONFIRMED SPEAKERS:</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Christos Davatzikos (University of Pennsylvania)</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Gaël Varoquaux (Parietal team, INRIA)</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Jian Kang (University of Michigan)</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">------------------------------<wbr>------------------------------<wbr>------------------------------<wbr>----------------------------</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">SUBMISSION PROCESS:</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging and spatially structured data analysis. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style of up to 8-pages papers using the CMT system at<span> </span><a href="https://cmt3.research.microsoft.com/MLCN2018" target="_blank" style="color:rgb(17,85,204)">https://cmt3.research.micro<wbr>soft.com/MLCN2018</a>. This workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI conference.</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">------------------------------<wbr>------------------------------<wbr>------------------------------<wbr>-----------------------------</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">IMPORTANT DATES:</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Paper submission deadline: June 25, 2018</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Notification of Acceptance: July 16, 2018</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Camera-ready Submission: July 23, 2018</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Workshop Date: September 20, 2018</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">------------------------------<wbr>------------------------------<wbr>------------------------------<wbr>------------------------</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Best regards,</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">MLCN 2018 Organizing Committee,</div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Email:<span> </span><a href="mailto:mlcnworkshop@gmail.com" target="_blank" style="color:rgb(17,85,204)">mlcnworkshop@gmail.com</a></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">Website:<span> </span><a href="https://mlcn2018.com/" target="_blank" style="color:rgb(17,85,204)">https://mlcn2018.com/</a></div><div style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial">twitter: @MLCN2018</div><div class="gmail-yj6qo" style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"></div><div class="gmail-m_-3209088490508921439gmail-yj6qo gmail-adL" style="font-size:12.8px;text-decoration-style:initial;text-decoration-color:initial"></div><br class="gmail-Apple-interchange-newline">

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