To address this need, we developed a machine learning-based high performance computing pipeline: 1) a convolutional neural network detects axon fiber voxels, 2)�...
May 23, 2018 � To address this need, we developed a machine learning-based high performance computing pipeline: 1) a convolutional neural network detects axon�...
Abstract—Recent advances in intact brain imaging, such as CLARITY and MAP (Magnified Analysis of the Proteome), enable volumetric imaging of brain.
Mar 21, 2023 � Bibliographic details on Learning-based long-range axon tracing in dense scenes.
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Learning-based long-range axon tracing in dense scenes. M Hernandez, A ... Ssl enables learning from sparse rewards in image-goal navigation. A Majumdar�...
Learning-based long-range axon tracing in dense scenes � Mark HernandezAdam Brewster +6 authors. L. Brattain. Computer Science. 2018 IEEE 15th International�...
Apr 20, 2020 � Existing learning-based methods to automatically trace axons in 3D brain imagery often rely on manually annotated segmentation labels.
Jul 23, 2021 � Learning-based long-range axon tracing in dense scenes, in IEEE International Symposium on Biomedical Imaging (Washington, DC: IEEE; ), 1578�...
Aug 29, 2019 � “Learning-based long-range axon tracing in dense scenes,” in 2018 ... A distance-field based automatic neuron tracing method. BMC�...
Learning-based long-range axon tracing in dense scenes. Conference Paper. Apr ... A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake.
