Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...
Demonstration of different visual-inertial odometry methods: (a) traditional VIO methods, which rely on handcrafted features and geometry-based optimization; (b) existing deep learning-based methods, ...
CRISPincette, and detection of low frequency cancer mutations in ctDNA. Deciphering the tumor microenvironment (TME) dynamics in advanced colorectal (CRC) and pancreatic cancers (PDAC) treated with ...
The lack of sensory feedback provided by prosthetic hands dramatically limits the utility of the device. Peripheral nerve interfaces are now able to produce stable somatosensory percepts for upper ...
For those of you who were unable to join the webinar live, the stream is now available for everyone to watch here or on YouTube. In this talk, I will introduce several neuroimaging techniques now ...
Why it matters: AI-driven multimodal workflows can dramatically reduce production time, enabling creators to produce more high-quality content without increasing costs. What’s changing: Unified AI ...
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