Symposium on Computational Modeling and Image Processing of Biomedical Problems

标题：生物医学问题计算建模与图像处理研讨会会议地点：密歇根理工大学时间：2019年6月15-17日网站：http://pages.mtu.edu/~zhengfux/Overview.htm.从发现青霉素(1928年)到人类基因组计划(1990)，医学上的突破极大地影响了地球上数十亿人。其中，医学成像技术的发展，如X射线成像、计算机断层扫描(CT)扫描、磁共振成像(MRI)和各种其他放射成像技术，使得无需使用侵入性外科程序就可以检查身体的内部状况。此外，医学成像技术越来越多地被用于为手术、活组织检查和放射治疗提供实时指导。鉴于数据的可用性、计算能力和人工智能等新的计算方法，我们现在正处于另一个突破性时代的尖端，从而可能将人类医疗保健提升到前所未有的水平。数学，特别是计算数学和应用数学，在预期的进步中起着基础性的作用。拟议的跨学科研讨会的主要焦点是提供最近对生物医学问题计算和数值方法的重要贡献的最新进展。特别鼓励应用新的数学和建模技术从复杂的生物医学数据集中提取新的或额外的信息。感兴趣的主题包括数学和计算方法及其在下列领域的即时应用：a)新的数学图像形成/重建/处理方法及其在生物医学问题中的应用；b)与生物医学问题相关的多尺度和多物理模拟的新的数学算法；c)(大)生物医学数据的科学可视化和分析；d)新的机器学习和统计分析方法及其在(大)生物医学数据中的应用。将数学融入生物医学科学的主要挑战之一是克服现有的障碍。对生物医学语言的不熟悉，在数学界进行研究的不同学科界限方法，以及旨在“保持学科完整性”的“人为”学术界限，都可能阻碍这一跨学科研究的发展。这次研讨会的次要目标是提供一个平台，以便应用数学家、生物医学工程师和临床科学家之间可以进行智能交流，促进跨学科合作。将作出协调一致的努力，将代表人数不足的学生和职业生涯早期和中期的数学家纳入研讨会。利用密歇根理工大学现有的资源，组织者将与多样性和包容性中心以及其他合作伙伴合作，招募通常来自经济困难背景的学生参加这次研讨会。此外，计划在参与者之间建立一个未来的支持和互动网络，以促进进一步的研究和合作。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Title: Symposium on Computational Modeling and Image Processing of Biomedical ProblemsConference location: Michigan Technological University (MTU) Date: June 15-17, 2019Website: http://pages.mtu.edu/~zhengfux/Overview.htm. From the discovery of penicillin (1928) to Human Genome Project (1990), breakthroughs in medicine have greatly impacted billions of people on earth. Among them, developments of medical imaging techniques such as x-ray imaging, computed tomography (CT) scans, magnetic resonance imaging (MRI), and a variety of other radiological imaging techniques have allowed the examination of the internal condition of the body without the use of invasive surgical procedures. Furthermore, medical imaging technologies are being increasingly used to provide guidance for surgery, biopsy, and radiation therapy in real-time. We are now on the cusp of another breakthrough era, given the availability of data, computational power, and novel computing methodology such as artificial intelligence, thereby potentially elevating human healthcare to a level never seen before. Mathematics, particularly, computational and applied mathematics, plays a foundational role in the projected advancement. The primary focus of the proposed interdisciplinary symposium is to provide an update on recent important contributions to computational and numerical methods in biomedical problems. Applying novel mathematics and modeling techniques to extract new or additional information from complex bio-medical datasets are particularly encouraged. Topics of interest include mathematical and computing methods and their immediate applications in the following areas: a) Novel mathematical image formation/reconstruction/processing methods and their applications in biomedical problems; b)Novel mathematical algorithms enabling multi-scale and multi-physics simulation related to biomedical problems;c) Scientific visualization and analytics of (BIG) biomedical data; d) Novel machine learning and statistical analysis methods and their application in (BIG) biomedical data. One of the main challenges when integrating mathematics into biomedical sciences is overcoming existing barriers. Unfamiliarity with biomedical language, distinct disciplinary-bound approaches to research in the mathematics community, and 'artificial' academic boundaries aimed at 'preserving subject integrity' can hinder developments in this line of interdisciplinary research. The secondary objective of this symposium is to provide a platform so that intelligent exchanges among applied mathematicians, biomedical engineers, and clinical scientists can take place, fostering interdisciplinary collaborations. A concerted effort will be made to include underrepresented students and early and middle-career mathematicians in the symposium. Using existing resources available at the Michigan Technological University, the organizers will work together with the Center of Diversity and Inclusion and other partners to recruit students who are typically from economically-disadvantageous backgrounds to attend this symposium. In addition, it is planned to create a future network of support and interaction among participants to enable further research and collaboration.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.