AIMC Topic: Brain

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Enhancing Total Optical Throughput of Microscopy with Deep Learning for Intravital Observation.

Small methods May 15, 2023
The significance of performing large-depth dynamic microscopic imaging in vivo for life science research cannot be overstated. However, the optical throughput of the microscope limits the available information per unit of time, i.e., it is difficult ...
Brain Animals Deep Learning Mice Intravital Microscopy Fluorescent Dyes Microscopy, Fluorescence
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A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features.

Sensors (Basel, Switzerland) May 12, 2023
One of the most severe types of cancer caused by the uncontrollable proliferation of brain cells inside the skull is brain tumors. Hence, a fast and accurate tumor detection method is critical for the patient's health. Many automated artificial intel...
Humans Artificial Intelligence Brain Reproducibility of Results Brain Neoplasms
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Precise Brain-shift Prediction by New Combination of W-Net Deep Learning for Neurosurgical Navigation.

Neurologia medico-chirurgica May 11, 2023
Brain tissue deformation during surgery significantly reduces the accuracy of image-guided neurosurgeries. We generated updated magnetic resonance images (uMR) in this study to compensate for brain shifts after dural opening using a convolutional neu...
Magnetic Resonance Imaging Neurosurgical Procedures Brain Brain Neoplasms Deep Learning Imaging, Three-Dimensional Humans
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Automated identification of piglet brain tissue from MRI images using Region-based Convolutional Neural Networks.

PloS one May 11, 2023
Magnetic resonance imaging is an important tool for characterizing volumetric changes of the piglet brain during development. Typically, an early step of an imaging analysis pipeline is brain extraction, or skull stripping. Brain extractions are usua...
Swine Brain Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Animals Skull
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Accessing the brain with soft deployable electrocorticography arrays.

Science robotics May 10, 2023
Soft robotics facilitates the deployment of large radial electrode arrays on the brain cortex through small craniotomies.
Cerebral Cortex Electrocorticography Brain Robotics
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Deployment of an electrocorticography system with a soft robotic actuator.

Science robotics May 10, 2023
Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery and increasingly explored in brain-machine interface applications. Current devic...
Brain-Computer Interfaces Swine, Miniature Swine Robotics Electrocorticography Brain Animals
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Brain-inspired multimodal hybrid neural network for robot place recognition.

Science robotics May 10, 2023
Place recognition is an essential spatial intelligence capability for robots to understand and navigate the world. However, recognizing places in natural environments remains a challenging task for robots because of resource limitations and changing ...
Neural Networks, Computer Algorithms Humans Robotics Neurons Brain Animals
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FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications.

IEEE transactions on biomedical circuits and systems May 10, 2023
Miniaturized calcium imaging is an emerging neural recording technique that has been widely used for monitoring neural activity on a large scale at a specific brain region of rats or mice. Most existing calcium-image analysis pipelines operate offlin...
Feedback Animals Neural Networks, Computer Brain Calcium Mice Rats
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Neural co-processors for restoring brain function: results from a cortical model of grasping.

Journal of neural engineering May 9, 2023
A major challenge in designing closed-loop brain-computer interfaces is finding optimal stimulation patterns as a function of ongoing neural activity for different subjects and different objectives. Traditional approaches, such as those currently use...
Humans Neural Networks, Computer Brain Deep Brain Stimulation Artificial Intelligence Algorithms
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Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images.

Journal of digital imaging May 5, 2023
An automated diagnosis system is crucial for helping radiologists identify brain abnormalities efficiently. The convolutional neural network (CNN) algorithm of deep learning has the advantage of automated feature extraction beneficial for an automate...
Humans Neural Networks, Computer Magnetic Resonance Imaging Algorithms Brain Diseases Brain
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