Ophthalmic disease diagnosis by telemedicine systems, human experts, and computer-based image analysis methods
BMI Invited Guest Lecturer, Michael Chiang, Columbia University College of Physicians and Surgeons

Date: June 9, 2008
Time: 1:30 p.m. - 2:30 p.m.
Location: ABC 230, telecast to BYENG 210

Biomedical Informatics guest speaker
Motion Planning and Simulation for Image-Guided Medical Robotics

Date: May 22, 2008
Time: 10:00 a.m. - 11:00 a.m.
Location: ABC 230 telecast to BYENG 365

BMI Distinguished Guest Lecturer: Lucila Ohno-Machado, M.D., Ph.D.
Evaluating Clinical Decision Support for Personalized Risk Assessment

Date: May 14, 2008
Time: 2:00 p.m. - 3:00 p.m.
Location: ABC 230 / telecast to BYENG 365

BMI Invited Guest Lecturer: Guilherme Del Fiol
Large scale clinical knowledge management: infrastructure, content creation, appraisal, delivery, and maintenance

Date: May 12, 2008
Time: 11:00 a.m. - 12:00 p.m.
Location: ABC 230 / telecast to BYENG 365

Dynamic Chest Image Analysis, United Snakes, and Computer Aided Detection
Jianming Liang, PhD, Invited Guest Lecturer

Date: April 28, 2008
Time: 11:00 a.m. - 1:00 p.m.
Location: ABC 230, telecast to BYENG 210

Abstract
Modern biomedical imaging systems generate enormous datasets with ever higher coverage and resolution. However, it is not the images themselves, but rather the clinically relevant
information in them that is paramount. In response to this “data explosion” grand challenge, the objective of my research is to develop and validate novel computational
methodologies for automatically gleaning clinically relevant information from medical images in order to improve the efficiency and accuracy of image interpretation. In particular, I shall review a model-based analysis method for revealing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the Dynamic Pulmonary Imaging (DPI) technique. Next, I will present “United Snakes”, an interactive deformable model framework for lung registration and motion analysis, cardiac shape and motion analysis, and other applications. Finally, I will introduce a fast yet effective approach for the automated detection of pulmonary embolism from CT pulmonary angiography (CTPA), and a virtual colonoscopy technique that simplifies the complex 3D polyp detection problem into a 2D disk identification
problem, significantly improving sensitivity while reducing computation time.
Biography: Dr. Jianming Liang is a Staff Scientist at Siemens Medical Solutions USA, Inc., where he has been engaged in research and development activities in the domain of computer aided diagnosis in medical imaging since December 2002. He holds a PhD degree (2001) in Computer Science and carried out his thesis work at the Turku Centre for Computer Science in Finland and in the Visual Modeling Group at the University of
Toronto in Canada. From 2001–02, he was a Natural Sciences and Engineering Research Council (NSERC) of Canada Industrial Research Fellow. His research on Dynamic Chest Image Analysis received a University Faculty Research Award from the University of Turku. His other prizes include a Siemens Recognition Award and a Best Paper Award at the 2007 International Congress of Computer Assisted Radiology and Surgery in Berlin.

Abductive Reasoning: What is It and How Can It be Modeled?
BMI Colloquium Series

Date: April 24, 2008
Time: 12:00 p.m. - 1:00 p.m.
Location: ABC 230 - live telecast to Tempe BYENG 210

Speaker: Dr Roger Schvaneveldt

Abstract:
In the 19th Century, C. S. Peirce first proposed abductive reasoning as a necessary part of scientific reasoning in addition to the more familiar deductive and inductive reasoning. Today we often see abductive reasoning characterized as \"reasoning to the best explanation.\" Once one becomes familiar with the basic notion of abduction, it appears to be ubiquitous in human thinking. This talk will examine the nature of abductive reasoning including an analysis of various forms of abduction. In addition, the talk will review various computational approaches to abductive reasoning and will suggest some promising directions for further work.

Bio:
Roger Schvaneveldt is a Professor of Applied Psychology at Arizona State University, Polytechnic in Mesa, AZ. He earned the Ph.D. in psychology at the University of Wisconsin in 1967. He has also been on the faculty at the State University of New York at Stony Brook (1967-1977), and New Mexico State University (1977-2000). His research interests include basic issues in memory and cognition as well as applied research in human factors, in general, and aviation, in particular. His best known work includes semantic priming with David Meyer and Pathfinder Network Scaling with Frank Durso and Don Dearholt. He is currently working in aviation psychology, abductive reasoning, and new projects involving network scaling.