Office: CSEB 127
Lab: CSEB B08F, B08H
Personal Assistant: Elisa Ahmanson; rht_asst@cs.jhu.edu;
410-516-0740
Office Hours: By appointment
Tuesday and Thursday 1:30pm - 2:45 pm
Location: CSEB B17
Tuesday 4:30pm - ~5:45pm
Location: CSEB 3rd floor conference room (subject to change)
Next Section:
10/28 going over solutions to this year's homework 3 (this will probably take two weeks of section to get through)
Email: ben@cs.jhu.edu
Office: NEB 329 (it's the only other door on the same side of the hall as the grad lounge)
Office Phone: (410) 516 - 6115
Office Hours: Thursdays, 12:00pm - 1:15pm, or by appointment. On weeks when we have section, I'll probably be available between the end of class and the beginning of section, as well.
This course focuses on computer-based techniques, systems, and applications exploiting quantitative information from medical images and sensors to assist clinicians in all phases of treatment, from diagnosis to preoperative planning, execution, and follow-up. It emphasizes the relationship between problem definition, computer-based technology, and clinical application and includes a number of guest lectures given by surgeons and other experts on requirements and opportunities in particular clinical areas. An optional term project may be undertaken under supervision of the instructor and clinician end users. Although this course is primarily intended for graduate students and advanced undergraduate students interested in doing research in this area, it may also be of interest to medical or qualified premedical students wanting to obtain a broader background in this emerging field.
The section for this course will present supplementary material related to the main lectures and the homeworks. Attendance is not mandatory, but it is recommended for those unfamiliar with the topic to be covered on a given date. Section will not be held every week, but rather when there are important topics which require extra time to cover. The focus of the section will be on presenting techniques that will help you to understand and complete the homework assignments, both written and programming. Topics will generally be posted on the website at least a week in advance. If students have topics which they would like to have sections taught on, they should contact the TA and he will try to incorporate them.