IAP 2017 Activities by Sponsor - Health Sciences

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:

• discover, quantify, access, and interpret the medical records and images available to researchers including the computer systems to access the data & the patient protection rules for using them.
• understand the content of clinical data and available tools for extracting well curated research data sets.
• formulate testable hypotheses that can be explored using the clinical records and images from Harvard/MIT partner hospitals.

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

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Introduction to the Clinical Informatics

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

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Attributes of Medical Image Data

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

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Clinical Annotation

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

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Machine learning in medical imaging

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

Chen Xie

Enrollment: Limited: Advance sign-up required
Attendance: Participants welcome at individual sessions
Prereq: None

These classes aim to teach concepts and habits that make programming a more simplified and comfortable process for those who did not study computer science.

The presenter will use slideshows and read/write/manipulate files and programs during the sessions. Class participation is encouraged.

Signup has reached maximum capacity. Waitlist here: https://goo.gl/forms/yebq7R1cQriYYMAG3

 

Before the first session, please ensure that you have done the following on your laptop:

- Download and install git: https://git-scm.com/downloads

- Download and install the C Python interpreter (Python 3.6): https://www.python.org/downloads/

- Download `get-pip.py` and install pip: https://pip.pypa.io/en/stable/installing/

- Create an account on github: https://github.com/

- Ensure you have a user account on your operating system with no spaces. If your current one has spaces, make a new one.

 

Sponsor(s): Health Sciences
Contact: Chen Xie, CX1111@MIT.EDU

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Storage and Interpretation of Files

Jan/24

Tue

06:00PM-07:00PM

56-154, Bring your laptop

• Information storage. ASCII, UTF, binary dat files, etc. 
• Source code, machine code, and in between. 
• File types. Everything is binary, it just depends how programs use/interpret it. 
• The PATH environment variable and calling executables from the terminal/command line.
• Virtual environments in Python.

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Important Programming Languages

Jan/25

Wed

06:00PM-07:00PM

56-154, Bring your laptop

• What is/isn't a programming language? 
• Compiled vs Interpreted. Common misconceptions. 
• Low level - C
• High level - Python/Matlab
• Multiplatform development - Java
• Relational Databases - SQL

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Version Control and Collaboration

Jan/26

Thu

06:00PM-07:00PM

56-154, Bring your laptop

• Importance of version control and collaborative software development
• Tracking changes using Git
• The git workflow
• Initializing git repository
• Staging 
• Branches
• Merges and conflicts
• Collaborative development using GitHub
• Remotes
• Cloning
• Pulling - Fetch + Merge
• Pushing
• Remote Branches

Peter Cariani, HST Affiliated - Lecturer & Course Director, HST.725

Jan/25

Wed

07:00PM-09:00PM

E25-111

Enrollment: Unlimited: No advance sign-up

In this lecture we will present a concise overview of the psychology of music.

• Why we listen – the many diverse ways we use music in our lives (mood/arousal control, cognitive interest, memory, meditation, spirituality, movement/dance/exercise, motivation, identity, ritual, bonding)

• How we listen – music perception (musical pitch, consonance, scales & tunings, melodies & harmonies, grouping processes) and music cognition (tonal & rhythmic expectancies & hierarchies)
  
  
• How music is meaningful (expectancies & their violations, tension & relaxation, emotion, pleasure, beauty)
  
  
• Origins of music (comparative & evolutionary psychology of music, evolutionary-adaptations vs. structural couplings)
  
  
• Synthesis: music, brain, and temporal codes

 Background

• The Music Instinct (2009), 2 hour PBS film, http://www.pbs.org/wnet/musicinstinct/ and https://www.youtube.com/watch?v=m5pwSMDTD4M

• Howard Goodall’s How Music Works, 1. Melody, 2. Rhythm 3.  Harmony 4. Bass (2006), available on YouTube.

• Psychology of Music: From Sound to Significance (2013), Tan, Pfordresher, and Harre, Psychology Press.

Sponsor(s): Health Sciences
Contact: Peter Cariani, cariani@bu.edu