Imaging
Imaging

Imaging

Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Functional magnetic resonance imaging (fMRI) image processing Imaging machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Research School of Engineering

Mapping the brain pathways of visual memorability

For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Health Care Imaging machine learning MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

New AI method captures uncertainty in medical images

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Imaging machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

New algorithm unlocks high-resolution insights for computer vision

FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Imaging machine learning Microscopy MIT Schwarzman College of Computing Nanoscience and nanotechnology Neurons Neuroscience Research School of Engineering Synapses

Using AI to optimize for rapid neural imaging

MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.

Alzheimer's Artificial Intelligence Autism Awards, honors and fellowships Bioengineering and biotechnology Biological engineering Cancer Chemical engineering Civil and environmental engineering Data DMSE Drug development Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Harvard-MIT Health Sciences and Technology Health sciences and technology Imaging Jameel Clinic machine learning Mechanical engineering Parkinson's Pharmaceuticals Research School of Engineering Students Wearable sensors

2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

Artificial Intelligence Awards, honors and fellowships cybersecurity Imaging Invention Lincoln Laboratory Medical devices Photonics Quantum Computing Security studies and military

Four Lincoln Laboratory technologies win five 2023 R&D 100 awards

Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.

Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Imaging Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering

MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans

The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.

Artificial Intelligence Climate change computer-vision Data Imaging Lincoln Laboratory open source Research Security studies and military sensors Staff

A new dataset of Arctic images will spur artificial intelligence research

The dataset, being collected as part of a US Coast Guard science mission, will be released open source to help advance naval mission planning and climate change studies.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Imaging machine learning MIT Schwarzman College of Computing Research School of Engineering

Researchers use AI to identify similar materials in images

This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.

Artificial Intelligence Autonomous vehicles Computer science and technology computer-vision Imaging Light machine learning Media Lab National Science Foundation (NSF) Research School of Architecture and Planning sensors

Using reflections to see the world from new points of view

A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.