Contact Us
CiiS Lab
Johns Hopkins University
112 Hackerman Hall
3400 N. Charles Street
Baltimore, MD 21218
Directions
Lab Director
Russell Taylor
127 Hackerman Hall
rht@jhu.edu
This is an old revision of the document!
Office: Hackerman Hall 127
Lab: Hackerman Hall B08H
LCSR Executive Director (major adminstrative matters): Lorrie Dodd; ldodd@jhu.edu; 410-516-0740
Personal Assistant (appointments and routine matters): Ashley Moriarty; AshleyMoriarty@jhu.edu;410-516-6841
Office Hours: By appointment
email: boctor@jhu.edu
Lab: Hackerman Hall B08A
Office Hours: By appointment
Downloading and retention of materials linked to from this web site is restricted to students who have registered for this course.
Students who have registered for this course are pemitted to download and save a copy of any course materials for their own use. However, they are not authorized to redistribute or transfer any materials to anyone else.
Fall 2021 Organization Lecture
Fall 2021 Schedule (under construction and subject to change)
Fall 2020 Schedule Fall 2019 Schedule
Resources
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.