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Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity.

International journal of neural systems
Brain function has been proposed to arise as a result of the coordinated activity between distributed brain areas. An important issue in the study of brain activity is the characterization of the synchrony among these areas and the resulting complexi...

HapPro: A Wearable Haptic Device for Proprioceptive Feedback.

IEEE transactions on bio-medical engineering
OBJECTIVE: Myoelectric hand prostheses have reached a considerable technological level and gained an increasing attention in assistive robotics. However, their abandonment rate remains high, with unintuitive control and lack of sensory feedback being...

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

IEEE transactions on medical imaging
This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only image-level, semantic labels inste...

Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach.

Acta psychiatrica Scandinavica
OBJECTIVE: Remitted bipolar disorder (BD) patients frequently present with chronic mood instability and emotional hyper-reactivity, associated with poor psychosocial functioning and low-grade inflammation. We investigated emotional hyper-reactivity a...

Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.

International journal of computer assisted radiology and surgery
PURPOSE: Most of the existing convolutional neural network (CNN)-based medical image segmentation methods are based on methods that have originally been developed for segmentation of natural images. Therefore, they largely ignore the differences betw...

Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.

Computational intelligence and neuroscience
Feature of event-related potential (ERP) has not been completely understood and illiteracy problem remains unsolved. To this end, P300 peak has been used as the feature of ERP in most brain-computer interface applications, but subjects who do not sho...

Predicting lysine-malonylation sites of proteins using sequence and predicted structural features.

Journal of computational chemistry
Malonylation is a recently discovered post-translational modification (PTM) in which a malonyl group attaches to a lysine (K) amino acid residue of a protein. In this work, a novel machine learning model, SPRINT-Mal, is developed to predict malonylat...

Machine Learning for Outcome Prediction in Electroencephalograph (EEG)-Monitored Children in the Intensive Care Unit.

Journal of child neurology
The aim of this study was to evaluate the performance of models predicting in-hospital mortality in critically ill children undergoing continuous electroencephalography (cEEG) in the intensive care unit (ICU). We evaluated the performance of machine ...