Big Brain Data: On the Responsible Use of Brain Data from Clinical and Consumer-Directed Neurotechnological Devices

Freedom of Thought and Mental Integrity: The Moral Requirements for Any Neural Prosthesis

(2018) Andrea Lavazza   Frontiers in Neuroscience

Deep learning with convolutional neural networks for EEG decoding and visualization

(2017) Robin Tibor Schirrmeister et al.   HUMAN BRAIN MAPPING

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Four ethical priorities for neurotechnologies and AI

(2017) Rafael Yuste et al.   NATURE

Consent and engagement, security, and authentic living using wearable and mobile health technology

(2017) Karola V Kreitmair et al.   NATURE BIOTECHNOLOGY

A wellness study of 108 individuals using personal, dense, dynamic data clouds

(2017) Nathan D Price et al.   NATURE BIOTECHNOLOGY

Machine learning on big data: Opportunities and challenges

(2017) Lina Zhou et al.   NEUROCOMPUTING

The Right to Cognitive Liberty

(2017) Marcello Ienca   SCIENTIFIC AMERICAN

Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information

(2017) Xiao Li et al.   PLOS BIOLOGY

The Effects of Closed-Loop Medical Devices on the Autonomy and Accountability of Persons and Systems

(2016) PHILIPP KELLMEYER et al.   CAMBRIDGE QUARTERLY OF HEALTHCARE ETHICS

Prediction of antiepileptic drug treatment outcomes using machine learning

(2016) Sinisa Colic et al.   Journal of Neural Engineering

Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports

(2016) R C Kessler et al.   MOLECULAR PSYCHIATRY

Stop the privatization of health data

(2016) John T. Wilbanks et al.   NATURE

A multi-modal parcellation of human cerebral cortex

(2016) Matthew F. Glasser et al.   NATURE

Toward an Integration of Deep Learning and Neuroscience

(2016) Adam H. Marblestone et al.   Frontiers in Computational Neuroscience

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

(2016) Kun-Hsing Yu et al.   Nature Communications

The Rise of Consumer Health Wearables: Promises and Barriers

(2016) Lukasz Piwek et al.   PLOS MEDICINE

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

(2015) Elaheh Moradi et al.   NEUROIMAGE

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing

(2015) Nikolaus Kriegeskorte   Annual Review of Vision Science

Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images

(2014) Umut Güçlü et al.   PLoS Computational Biology

Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy

(2013) C. Salvatore et al.   JOURNAL OF NEUROSCIENCE METHODS

How internet users' privacy concerns have evolved since 2002

(2010) A.I. Anton et al.   IEEE SECURITY & PRIVACY

DNA-based prediction of human externally visible characteristics in forensics: Motivations, scientific challenges, and ethical considerations

(2009) Manfred Kayser et al.   Forensic Science International-Genetics