Abstract: Various embodiments of a system and associated method for determining a volume of surgical freedom using a plurality of three-dimensional extrema points along a surgical corridor in relation to a structure of interest are disclosed herein.

Abstract: Various embodiments of a system and associated method for determining a volume of surgical freedom using a plurality of three-dimensional extrema points along a surgical corridor in relation to a structure of interest are disclosed herein.

Abstract: Various embodiments of a system and associated method for determining a volume of surgical freedom using a plurality of three-dimensional extrema points along a surgical corridor in relation to a structure of interest are disclosed herein.

Abstract: In accordance with some embodiments of the disclosed subject matter, systems, methods, and media for selectively presenting images captured by confocal laser endomicroscopy (CLE) are provided. In some embodiments, a method comprises: receiving images captured by a CLE device during brain surgery; providing the images to a convolution neural network (CNN) trained using at least a plurality of images of brain tissue captured by a CLE device and labeled diagnostic or non-diagnostic; receiving an indication, from the CNN, likelihoods that the images are diagnostic images; determining, based on the likelihoods, which of the images are diagnostic images; and in response to determining that an image is a diagnostic image, causing the image to be presented during the brain surgery.

Abstract: In accordance with some embodiments of the disclosed subject matter, systems, methods, and media for selectively presenting images captured by confocal laser endomicroscopy (CLE) are provided. In some embodiments, a method comprises: receiving images captured by a CLE device during brain surgery; providing the images to a convolution neural network (CNN) trained using at least a plurality of images of brain tissue captured by a CLE device and labeled diagnostic or non-diagnostic; receiving an indication, from the CNN, likelihoods that the images are diagnostic images; determining, based on the likelihoods, which of the images are diagnostic images; and in response to determining that an image is a diagnostic image, causing the image to be presented during the brain surgery.

Abstract: Various embodiments of an anatomical model suitable for microsurgical training are disclosed. The anatomical model includes predetermined ergonomic features that accommodate training of a surgical task.

Abstract: In accordance with some embodiments of the disclosed subject matter, systems, methods, and media for automatically transforming a digital image into a simulated pathology image are provided. In some embodiments, the method comprises: receiving a content image from an endomicroscopy device; receiving, from a hidden layer of a convolutional neural network (CNN) trained to recognize a multitude of classes of common objects, features indicative of content of the content image; receiving, providing a style reference image to the CNN; receiving, from another hidden layer of the CNN, features indicative of a style of the style reference image; receiving, from the hidden layers of the CNN, features indicative of content and style of a target image; generating a loss value based on the features of the content image, the style reference image, and the target image; minimizing the loss value; and displaying the target image with the minimized loss.

Abstract: A method of detecting a brain tumor includes administering indocyanine green to a living body; exposing brain tissue in the living body; irradiating the exposed brain tissue with excitation light of indocyanine green; obtaining an image based on fluorescence of the excited indocyanine green in the brain tissue, wherein the image is obtained using an endomicroscope; and identifying portions of the brain tissue corresponding to the brain tumor based on the image.

Abstract: A method of detecting a brain tumor includes administering indocyanine green to a living body; exposing brain tissue in the living body; irradiating the exposed brain tissue with excitation light of indocyanine green; obtaining an image based on fluorescence of the excited indocyanine green in the brain tissue, wherein the image is obtained using an endomicroscope; and identifying portions of the brain tissue corresponding to the brain tumor based on the image.

Abstract: A method and composition for treating arteriovenous malformations (AVMs), or abnormal vasculature in the body are provided. The method comprises introducing into the region of an AVM a composition comprising a nucleophilic component, such as a thiol, and a component containing a conjugated unsaturated bond, such as an acrylate through a catheter, whereby the composition crosslinks within the body to block or occlude the AVM.