Machine Learning for Medical Imaging: Medical Image Imputation

Abstract: We present an algorithm for creating high resolution anatomically plausible images that are consistent with acquired clinical brain MRI scans with large inter-slice spacing. Although large databases of clinical images contain a wealth of information, medical acquisition constraints result in sparse scans that miss much of the anatomy. These characteristics often render computational analysis impractical as standard processing algorithms tend to fail when applied to such images.

Student Assistant for Graduate Program in Clinical Investigation


UW Institute for Clinical and Transnational Research

750 Highland Avenue, 2112 Health Sciences Learning Center, Madison WI 53705 (on several bus lines including the 80)

Position Title: Student Assistant for Graduate Program in Clinical Investigation (Part-time position in-house)

Location and Work Environment: Health Science Learning Center 2112, 750 Highland Ave, Madison, WI. Fast-paced (most days). Office/clericaloriented work with nice people.

J. Barkley Rosser Memorial Lecture: A Logical Revolution

Mathematical logic was developed in an effort to provide formal foundations
for mathematics. In this quest, which ultimately failed, logic begat
computer science, yielding both computers and theoretical computer science.
But then logic turned out to be a disappointment as foundations for
computer science, as almost all decision problems in logic are either
unsolvable or intractable. Starting from the mid 1970s, however, there
has been a quiet revolution in logic in computer science, and problems that

Microsoft: Demystifying the Technical Resume & Interview

Come to learn how to build a stellar resume and navigate technical interviews!

Microsoft Engineers and the UW-Madison technical recruiter will discuss best practices and walk through practical steps on what you can do to help land that job/internship of your dreams!

Food will be provided!

Join us in CS 1221 on Friday, September 21.

Please RSVP here:

(NLP Talk) Challenges in the Computational Analysis of Large Book Corpora

With the rise of large-scale digitization efforts over the past ten years (such as those by Google Books, the HathiTrust, and the Internet Archive), we now have access to large textual datasets preserving our cultural record in the form of printed books. These text collections have driven research at the intersection of computational methods and the humanities, exploiting advances made over past thirty years in natural language processing and machine learning.

CS Student Org Fair

Visit the CS lobby to find out about student-led computer-related clubs and organizations.

Through this event, we hope to introduce great activities to more UW-Madison students, help organizations grow and thrive, and encourage coordination across clubs.

In past semesters, the following organizations have been present; we expect similar groups this year!


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