Lin Yang serves as general chair for 8th International Workshop on High Performance Computing for Biomedical Image Analysis

Dr. Lin Yang, together with Rutgers, Stony Brook, HTW-Berlin, and Ohio State, will organize the 8th International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI 2015) in Munich, Germany as a general chair. 

The International Conference on Medical Image Computing and Computer Aided Intervention is the 18th premium conference in biomedical image computing (MIC) and computer aided intervention (CAI). MICCAI Proceedings papers are full-length papers that have been subjected to peer review that is more stringent than many journals (first round double-blind review, followed by author rebuttal, and then second round review by at least two senior program committee members). This is reflected in the high citation rates of MICCAI Proceedings papers. MICCAI attracts annually world leading scientists, engineers and clinicians from a wide range of disciplines associated with medical imaging and computer assisted surgery. The MICCAI Conferences are rotated among the North American, European, and Asian continents. Approved conference venues and dates are normally decided four to five years in advance. 

The 2015 HPC-MICCAI is the eighth consecutive conference associated with the 18th MICCAI main conference at Munich, Germany, with a special  focus on large scale biomedical image analysis and imaging informatics using emerging high performance computing and big data technologies. The workshop will build on existing collaborative efforts in understanding current trends in HPC biomedical imaging and informatics research. It will demonstrate and encourage open discussions regarding the current status and latest developments in the field, explore new ideas/motifs, identify the challenges that currently impede wider adoption of these high performance computing and big data technologies in translational research, clinical intervention and decision-making, and present innovative solutions to the challenges in biomedical image computing.

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