[HTML][HTML] Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer's disease …
Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an
important role in understanding brain functionalities and its disorders during the last couple …
important role in understanding brain functionalities and its disorders during the last couple …
[HTML][HTML] Deep learning in mining biological data
Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …
acquire multimodal data from different biological application domains. Categorized in three …
Applications of deep learning and reinforcement learning to biological data
Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains …
new possibilities for life scientists to gather multimodal data in various application domains …
[HTML][HTML] Deep learning in the biomedical applications: Recent and future status
Deep neural networks represent, nowadays, the most effective machine learning technology
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …
A brain-inspired trust management model to assure security in a cloud based IoT framework for neuroscience applications
Rapid advancement of Internet of Things (IoT) and cloud computing enables neuroscientists
to collect multilevel and multichannel brain data to better understand brain functions …
to collect multilevel and multichannel brain data to better understand brain functions …
Quantum machine learning applications in the biomedical domain: A systematic review
Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …
disciplines, which tend to range from chemistry to agriculture, natural language processing …
Detecting neurodegenerative disease from MRI: a brief review on a deep learning perspective
Rapid development of high speed computing devices and infrastructure along with improved
understanding of deep machine learning techniques during the last decade have opened up …
understanding of deep machine learning techniques during the last decade have opened up …
Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
[HTML][HTML] Trends and challenges in neuroengineering: toward “intelligent” neuroprostheses through brain-“brain inspired systems” communication
S Vassanelli, M Mahmud - Frontiers in neuroscience, 2016 - frontiersin.org
Future technologies aiming at restoring and enhancing organs function will intimately rely on
near-physiological and energy-efficient communication between living and artificial …
near-physiological and energy-efficient communication between living and artificial …
Neural network-based artifact detection in local field potentials recorded from chronically implanted neural probes
The neural recordings known as Local Field Potentials (LFPs) provide important information
on how neural circuits operate and relate. Due to the involvement of complex electronic …
on how neural circuits operate and relate. Due to the involvement of complex electronic …