Office: CSEB 127
Lab: CSEB B08F, B08H
Personal Assistant (major adminstrative matters): Elisa Ahmanson; rht_asst@cs.jhu.edu;
410-516-0740
Personal Assistant (appointments and routine matters): Alison Morrow; alison.morrow@jhu.edu;410-516-4639
Office Hours: By appointment
Tuesday and Thursday 1:30pm - 2:45 pm
Location: CSEB B17
TBD
Email: hmenon@cs.jhu.edu
Office: NEB 219
Office Phone:
Office Hours: Wednesday 2:00-3:00 pm, Friday 2:00-3:00 pm
Several upper-level graduate students have kindly volunteered to provide additional consultation for sections and to help students with questions.
Seth Billings
Omar Ahmad
Paul Thienphrapa
For times to talk with them, go through the TA
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.