Category
Healthcare
Language
Python

This repository contains the authors' implementation from "Data Augmentation using Learned Transformations for One-shot Medical Image Segmentation", which will be presented as an oral at CVPR 2019. We provide code for training spatial and appearance transform models, and for using the transform models to synthesize training examples for segmentation.

MIT License
Last Updated
Category
Healthcare
Language
Python

Electronic Medical Record Phenotyping using the Anchor and Learn Framework.

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biggest tech breakthroughs
CSAIL article

Given that our smartphones have largely become appendages over the last decade, it’s hard to imagine that ten years ago there was no Instagram, Uber, TikTok or Tinder. The ways we move, shop, eat and communicate continue to evolve thanks to the technologies we use. It can be easy to forget how quickly things have changed - so let’s turn back the clocks and reminisce about some of the computing breakthroughs that have transformed our lives in the ’10s.

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Julie Shah
MIT news article

The road to commencement is a long one, especially for graduate students whose degree programs may take upwards of six years. There are many moments when focus may be lost and excitement may dwindle. Faculty mentors can play a key role in helping students persevere.

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medical image analysis
MIT news article

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis.  

One use of medical image analysis is to crunch datasets of patients’ medical images and capture structural relationships that may indicate the progression of diseases. In many cases, analysis requires use of a common image template, called an “atlas,” that’s an average representation of a given patient population. Atlases serve as a reference for comparison, for example to identify clinically significant changes in brain structures over time.

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AI and the Work of the Future Congress
MIT news article

In opening the AI and the Work of the Future Congress, MIT Professor Daniela Rus presented diverging views of how artificial intelligence will impact jobs worldwide.

By automating certain menial tasks, experts think AI is poised to improve human quality of life, boost profits, and create jobs, said Rus, director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science.

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Kristy Carpenter, MIT EECS
MIT news article

“For me, to be really fulfilled in my work as a scientist, I want to have some tangible impact,” she says. 

Carpenter explains that artificial intelligence, which can help compute the combinations of compounds that would be better for a particular drug, can reduce trial-and-error time and ideally quicken the process of designing new medicines.