Here the goal of this dissertation is to build a deep learning model to study how different types of neurological cells evolve for better improvement in biomedical detection.Master of Science (Signal Processing
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
Abstract Reconstructing three-dimensional (3D) morphology of neurons is essential for understanding ...
Abstract- We describe a system for patterning neuronal cultures using a weakly focused laser beam. U...
Single cellular lasers have recently attracted tremendous research due to their outstanding lasing c...
Biolaser is an emerging technology offering distinct advantages over fluorescence-based detection in...
Biolaser is an emerging technology offering distinct advantages over fluorescence-based detection in...
Deep learning cell detection algorithms for pericytes and nNOS neurons based on whole mouse brain 3D...
Deep learning cell detection algorithms for pericytes and nNOS neurons based on whole mouse brain 3D...
Deep learning cell detection algorithms for pericytes and nNOS neurons based on whole mouse brain 3D...
A relatively new research field of neurosciences, called Connectomics, aims to achieve a full unders...
Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using exp...
Recently, optical technologies have found several applications in fields including biophotonics, pre...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
Understanding how networks of neurons process information is one of the key challenges in modern neu...
Recent advances in computer vision and machine learning underpin a collection of algorithms with an ...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
Abstract Reconstructing three-dimensional (3D) morphology of neurons is essential for understanding ...
Abstract- We describe a system for patterning neuronal cultures using a weakly focused laser beam. U...
Single cellular lasers have recently attracted tremendous research due to their outstanding lasing c...
Biolaser is an emerging technology offering distinct advantages over fluorescence-based detection in...
Biolaser is an emerging technology offering distinct advantages over fluorescence-based detection in...
Deep learning cell detection algorithms for pericytes and nNOS neurons based on whole mouse brain 3D...
Deep learning cell detection algorithms for pericytes and nNOS neurons based on whole mouse brain 3D...
Deep learning cell detection algorithms for pericytes and nNOS neurons based on whole mouse brain 3D...
A relatively new research field of neurosciences, called Connectomics, aims to achieve a full unders...
Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using exp...
Recently, optical technologies have found several applications in fields including biophotonics, pre...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
Understanding how networks of neurons process information is one of the key challenges in modern neu...
Recent advances in computer vision and machine learning underpin a collection of algorithms with an ...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
Abstract Reconstructing three-dimensional (3D) morphology of neurons is essential for understanding ...
Abstract- We describe a system for patterning neuronal cultures using a weakly focused laser beam. U...