Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders

Breast cancer detection using deep convolutional neural networks and support vector machines

(2019) Dina A. Ragab et al.   PeerJ

Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

(2019) Yue Shen et al.   Energies

Deep Learning in the Biomedical Applications: Recent and Future Status

(2019) Ryad Zemouri et al.   Applied Sciences-Basel

Image classification base on PCA of multi-view deep representation

(2019) Yaoqi Sun et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks

(2019) N. Khalili et al.   MAGNETIC RESONANCE IMAGING

Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age

(2019) Attallah et al.   Brain Sciences

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier

(2018) Yazhou Kong et al.   NEUROCOMPUTING

A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks

(2018) Rafael Ceschin et al.   NEUROIMAGE

A review on automatic fetal and neonatal brain MRI segmentation

(2018) Antonios Makropoulos et al.   NEUROIMAGE

A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning

(2018) Haijun Lei et al.   PATTERN RECOGNITION

Applications of Deep Learning and Reinforcement Learning to Biological Data

(2018) Mufti Mahmud et al.   IEEE Transactions on Neural Networks and Learning Systems

Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework

(2018) Lili He et al.   NeuroImage-Clinical

Deep Learning and Its Applications in Biomedicine

(2018) Chensi Cao et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

Artificial intelligence in retina

(2018) Ursula Schmidt-Erfurth et al.   PROGRESS IN RETINAL AND EYE RESEARCH

Fundus Image Classification Using VGG-19 Architecture with PCA and SVD

(2018) Muhammad Mateen et al.   Symmetry-Basel

Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

(2018) Silvia Basaia et al.   NeuroImage-Clinical

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Use of MRI in the diagnosis of fetal brain abnormalities in utero (MERIDIAN): a multicentre, prospective cohort study

(2017) Paul D Griffiths et al.   LANCET

BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment

(2017) Jeremy Kawahara et al.   NEUROIMAGE

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

(2017) Saima Rathore et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification

(2017) Guoqiang Zhong et al.   Cognitive Computation

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR MACHINE

(2014) Yudong Zhang et al.   Progress in Electromagnetics Research-PIER

Fetal Brain MRI Texture Analysis Identifies Different Microstructural Patterns in Adequate and Small for Gestational Age Fetuses at Term

(2013) M. Sanz-Cortés et al.   FETAL DIAGNOSIS AND THERAPY

Fetal Mechanisms in Neurodevelopmental Disorders

(2008) Susan L. Connors et al.   PEDIATRIC NEUROLOGY