Randy Gollub, HST Affiliated - Associate Professor of Psychiatry, MGH
Enrollment: Limited: Advance sign-up required
Sign-up by 12/19
Limited to 40 participants
Attendance: Participants welcome at individual sessions
https://hst.mit.edu/IAP2017_Clinical_Imaging_Informatics
This course offers an in depth examination of the complete clinical imaging workflow from the perspective of the enabling technologies, many of which are being developed at MIT and collaborating academic healthcare centers. In hands-on sessions, participants will have the opportunity to develop cutting edge medical image visualization software tools and to explore data analysis and machine learning using quantitative metrics extracted from medical images and associated free text or structured meta-data.
As part of the course participants will begin to learn how to:
Goal of this educational effort is to catalyze the development of clinical imaging informatics infrastructure to help turn the wealth of raw medical images and linked health records into actionable medical knowledge: (1) by attracting new minds to pursue this career path; (2) by stimulating new collaborations between technology leaders and clinical translational investigators; and (3) by inspiring new applications of existing technologies.
Sponsor(s): Institute for Medical Engineering & Science, Health Sciences
Contact: Randy Gollub, rgollub@partners.org
| Jan/10 | Tue | 03:00PM-07:00PM | E25-119, Bring a laptop |
Visit https://hst.mit.edu/IAP2017_Clinical_Imaging_Informatics for session details, etc.
You are welcome to attend individual sessions, but you will get the most out of the course by attending all 4 sessions as they build upon each other.
Randy Gollub - HST Affiliated - Associate Professor of Psychiatry, MGH
| Jan/17 | Tue | 03:00PM-07:00PM | E25-119, Bring a laptop |
Visit https://hst.mit.edu/IAP2017_Clinical_Imaging_Informatics for session details, etc.
You are welcome to attend individual sessions, but you will get the most out of the course by attending all 4 sessions as they build upon each other.
Randy Gollub - HST Affiliated - Associate Professor of Psychiatry, MGH
| Jan/24 | Tue | 03:00PM-07:00PM | E25-119, Bring a laptop |
Visit https://hst.mit.edu/IAP2017_Clinical_Imaging_Informatics for session details, etc.
You are welcome to attend individual sessions, but you will get the most out of the course by attending all 4 sessions as they build upon each other.
Randy Gollub - HST Affiliated - Associate Professor of Psychiatry, MGH
| Jan/31 | Tue | 03:00PM-07:00PM | E25-119, Bring a laptop |
Visit https://hst.mit.edu/IAP2017_Clinical_Imaging_Informatics for session details, etc.
You are welcome to attend individual sessions, but you will get the most out of the course by attending all 4 sessions as they build upon each other.
Randy Gollub - HST Affiliated - Associate Professor of Psychiatry, MGH