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Collaborating Authors

Contributors

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James Peters, coauthor of "A Knowledge-Based Model of Audit Risk," is an assistant professor in the Department of Accounting, College of Business Administration, University of Oregon. Glenn D. Rennels coauthor of "Prose Generation from Expert Systems: An Applied Computational Linguistics Thomas Arcidiacono, the author of the review of An Artificial Intelligence Approach, " is a research affiliate in Approach to Legal Reasoning, is affiliated with the Artificial Intelligence Laboratory, the Medical Information Sciences Program, the New York Institute of Technology, Sunburst Center 203, Central Edwina L. Rissland, author of "Artificial Intelligence and Legal Reasoning: R. Peter Bonasso, author of "An Hermann Kaindl, author of "Minimaxing: A Discussion of the Field and Assessment of What AI Can Do for Theory and Practice", is a Gardner's Book," is an associate professor Battle Management--A Report of the software engineer in the position of of Computer and Information First AAAI Workshop on AI Applications "Gruppenleiter" at Siemens AG Science at the University of Massachusetts to Battle Management" is the osterreich, Program and System Engineering at Amherst and lecturer on department head of the Artificial Since 1984, he has been a lecturer law at the Harvard Law School. Operations division, 7525 Colshire research interests include planning Drive, Mclean, VA 22102. Vasant Dhar, coauthor of "A Knowledge-Based Model of Audit Risk," is Model of Audit Risk," is Peat Marwick Professor of Accounting, Kenneth D. Forbus is an assistant professor Perry Miller, coauthor of "Prose Generation of computer science at the University from Expert Systems: An Call toU-free 800-521-3044 Or mail inquiry to: University Microfilms International. Forbus's research interests Program, Yale University include qualitative reasoning, inference School of Medicine, 333 Cedar Street, engine design, analogical reasoning P.O.


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James Peters, coauthor of "A Knowledge-Based Model of Audit Risk," is an assistant professor in the Department of Accounting, College of Business Administration, University of Oregon. Hans Berliner, author of the Hitech Computer Chess report, is a senior scientist in the Department of Computer Science, Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213. R. Peter Bonasso, author of "An Assessment of What AI Can Do for Battle Management--A Report of the First AAAI Workshop on AI Applications to Battle Management" is the department head of the Artificial Intelligence Technical Center in The MITRE Corporation, Washington 01 Operations division, 7525 Colshire Drive, Mclean, VA 22102. His research interests include commonsense reasoning and qualitative processes with a view toward applications to military systems. Vasant Dhar, coauthor of "A Knowledge-Based Model of Audit Risk," is an associate professor in the Department of Information Systems, New York University.


The Ethics of Artificial Intelligence

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Earlier this week, a consensus draft document dealing with the ethics of AI in medical imaging was posted on the ACR website. I would like to congratulate the authors, listed with their affiliations below, on a collaborative effort to address this important topic. This was a multi-society effort including the American College of Radiology (ACR), American Association of Physicists in Medicine (AAPM), Canadian Association of Radiologists (CAR), European Society of Radiology (ESR), Radiological Society of North American (RSNA), Society for Imaging Informatics in Medicine (SIIM) and European Society of Medical Imaging Informatics (EuSoMII). Importantly, the group included trainees, patients and other stakeholders such as an ethicist from MIT. But despite the wide ranging backgrounds and expert input that created this draft, the writing group and our Societies' leaders are very clear that this is just that: a draft.


Calendar of Events

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The format of the conference will include paper presentations, invited speakers, panel discussions, workshops, and planning and scheduling competitions.


Deep Learning for Medical Image Analysis: 9780128104088: Medicine & Health Science Books @ Amazon.com

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S. Kevin Zhou, Ph.D. is currently a Principal Key Expert Scientist at Siemens Healthcare Technology Center, leading a team of full time research scientists and students dedicated to researching and developing innovative solutions for medical and industrial imaging products. His research interests lie in computer vision and machine/deep learning and their applications to medical image analysis, face recognition and modeling, etc. He has published over 150 book chapters and peer-reviewed journal and conference papers, registered over 250 patents and inventions, written two research monographs, and edited three books. He has won multiple technology, patent and product awards, including R&D 100 Award and Siemens Inventor of the Year. He is an editorial board member for Medical Image Analysis journal and a fellow of American Institute of Medical and Biological Engineering (AIMBE).