Deep Learning in Medical Imaging and Behavior Interest Group
The goal of the Deep Learning in Medical Imaging and Behavior (DLMIB) interest group is to engage investigators who are using or interested in using graphics-processing unit–accelerated computing and deep-learning software to develop new analytics, diagnostics, and treatments for diseases such as stroke, cancer, and epilepsy. Investigators in DLMIB are located across NIH ICs and use deep neural networks to extract features from medical-imaging data (magnetic-resonance imaging; computed tomography; electron microscopy) or signal time-series data from procedures such as magnetoencephalography, electroencephalography, and electrocorticography; or behavioral data that have predictive or diagnostic value). This work may also provide insights into brain function and novel treatments. Presentations focus on ongoing work at NIH and other academic institutions, or on hardware and software platforms. The group meets once a month.
To join the Deep Learning in Medical Imaging and Behavior Interest Group mailing list, please visit the Deep Learning in Medical Imaging and Behavior Interest Group Listserv home page, then click the “Subscribe or Unsubscribe” link in the right sidebar.
- Richard Leapman, Ph.D., NIBIB
Scientific Focus Areas
The page was last updated on Thursday, July 20, 2017 - 9:11am