A team of researchers from some of the top medical institutions in the world, developed a fully automatic deep learning-based system to detect multiple sclerosis (MS) lesions in the spinal cord and intramedullary from conventional MRI data.
Researchers from NVIDIA, led by Stan Birchfield and Jonathan Tremblay, developed a first of its kind deep learning-based system that can teach a robot to complete a task by just observing the actions of a human.
NVIDIA Researchers will present 14 accepted papers and posters, five of them speaking sessions, at the annual Computer Vision and Pattern Recognition (CVPR) conference June 18 – 22 in Salt Lake City, Utah.
Researchers from The University of Texas MD Anderson Cancer Institute in Houston, Texas developed a deep learning process that automatically identifies the precise size and location of tumors and determines how much radiation should be administere
The method has been described as a “total game changer.” Researchers at the Allen Institute for Cell Science, a Seattle research group founded by Microsoft co-founder Paul Allen, announced this week they developed the first predictive 3D model of
Researchers at the University of Michigan developed a deep learning based-system that performs real-time facial recognition and verifies the photo against the corresponding passport and government-issued IDs.