Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diagnostic value of sleep stage dissociation as visualized on a 2-dimensional sleep state space in human narcolepsy

(2017) Anders Vinther Olsen et al.   JOURNAL OF NEUROSCIENCE METHODS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Sleep and Human Aging

(2017) Bryce A. Mander et al.   NEURON

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Sleep–wake stability in narcolepsy patients with normal, low and unmeasurable hypocretin levels

(2017) Mathias Hvidtfelt Hansen et al.   SLEEP MEDICINE

Novel method for evaluation of eye movements in patients with narcolepsy

(2017) Julie A.E. Christensen et al.   SLEEP MEDICINE

Narcolepsy

(2017) Birgitte R. Kornum et al.   Nature Reviews Disease Primers

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain

(2016) Thiago L. T. da Silveira et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines

(2015) Tarek Lajnef et al.   JOURNAL OF NEUROSCIENCE METHODS

Deep learning

(2015) Yann LeCun et al.   NATURE

Nocturnal Sleep Dynamics Identify Narcolepsy Type 1

(2015) Fabio Pizza et al.   SLEEP

Sleep-stage transitions during polysomnographic recordings as diagnostic features of type 1 narcolepsy

(2015) Julie Anja Engelhard Christensen et al.   SLEEP MEDICINE

Nocturnal Sleep Dynamics Identify Narcolepsy Type 1

(2015) Fabio Pizza et al.   SLEEP

Sleep–Wake Transition in Narcolepsy and Healthy Controls Using a Support Vector Machine

(2014) Julie B. Jensen et al.   JOURNAL OF CLINICAL NEUROPHYSIOLOGY

Design and Validation of a Periodic Leg Movement Detector

(2014) Hyatt Moore et al.   PLoS One

HLA DQB1*06:02 Negative Narcolepsy with Hypocretin/Orexin Deficiency

(2014) Fang Han et al.   SLEEP

Narcolepsy and Predictors of Positive MSLTs in the Wisconsin Sleep Cohort

(2014) Aviv Goldbart et al.   SLEEP

Process and outcome for international reliability in sleep scoring

(2014) Xiaozhe Zhang et al.   Sleep and Breathing

Electroencephalogram paroxysmal theta characterizes cataplexy in mice and children

(2013) Anne Vassalli et al.   BRAIN

Clinical, polysomnographic and genome-wide association analyses of narcolepsy with cataplexy: a European Narcolepsy Network study

(2013) Gianina Luca et al.   JOURNAL OF SLEEP RESEARCH

Agreement in Computer-Assisted Manual Scoring of Polysomnograms across Sleep Centers

(2013) Samuel T. Kuna et al.   SLEEP

First rapid eye movement sleep periods and sleep-onset rapid eye movement periods in sleep-stage sequencing of hypersomnias

(2013) Panagis Drakatos et al.   SLEEP MEDICINE

Nocturnal Rapid Eye Movement Sleep Latency for Identifying Patients With Narcolepsy/Hypocretin Deficiency

(2013) Olivier Andlauer et al.   JAMA Neurology

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Predictors of Hypocretin (Orexin) Deficiency in Narcolepsy Without Cataplexy

(2012) Olivier Andlauer et al.   SLEEP

Gender and age influence the effects of slow-wave sleep on respiration in patients with obstructive sleep apnea

(2012) Shyam Subramanian et al.   Sleep and Breathing

Sleep scoring using artificial neural networks

(2011) Marina Ronzhina et al.   SLEEP MEDICINE REVIEWS

Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standard

(2009) HEIDI DANKER-HOPFE et al.   JOURNAL OF SLEEP RESEARCH