{"id":115,"date":"2014-06-02T22:00:00","date_gmt":"2014-06-02T22:00:00","guid":{"rendered":"http:\/\/fast.hevs.ch:3001\/?p=115"},"modified":"2014-06-02T22:00:00","modified_gmt":"2014-06-02T22:00:00","slug":"1st-place-at-the-bhi-2014-student-best-paper-rapid-fire-session","status":"publish","type":"post","link":"https:\/\/medgift.hevs.ch\/wordpress\/1st-place-at-the-bhi-2014-student-best-paper-rapid-fire-session\/","title":{"rendered":"1st place at the BHI 2014 Student Best Paper Rapid Fire Session"},"content":{"rendered":"

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MedGIFT group won the 1st place at the\u00a0International Conference on Biomedical Health Informatics (BHI) 2014 : Student Best Rapid Fire Session<\/a>. The paper\u00a0 ‘Multi Atlas-Based Segmentation with an Intensity Feature Refinement’<\/a>\u00a0by Oscar A. Jim\u00e9nez del Toro and Henning M\u00fcller was presented during the session ‘Big Data in Healthcare’ at the BHI 2014.<\/p>\n

The Student Best Rapid Fire Session is sponsored by the IEEE EMBS Biomedical and Health Informatics Technical Committee and IEEE EMBS Journal of Biomedical and Health Informatics.<\/p>\n

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MedGIFT group won the 1st place at the\u00a0International Conference on Biomedical Health Informatics (BHI) 2014 : Student Best Rapid Fire Session. The paper\u00a0‘Multi Atlas-Based Segmentation with an Intensity Feature Refinement’\u00a0by Oscar A. Jim\u00e9nez del Toro and Henning M\u00fcller was presented during the session ‘Big Data in Healthcare’ at the BHI 2014. The Student Best Rapid … <\/p>\n