A survey of deep learning models in medical therapeutic areas

Hybrid Adversarial‐Discriminative Network for Leukocyte Classification in Leukemia

(2020) Chuanhao Zhang et al.   MEDICAL PHYSICS

EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss

(2020) Tian-jian Luo et al.   Frontiers in Neuroinformatics

Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

(2020) Yanguo Kong et al.   Journal of Hematology & Oncology

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

(2020) Javier León et al.   PLoS One

Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers

(2020) Ryoungwoo Jang et al.   JMIR Medical Informatics

Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks

(2019) Sheeba J. Sujit et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks

(2019) Ian Pan et al.   JOURNAL OF DIGITAL IMAGING

The Use of Deep Learning to Predict Stroke Patient Mortality

(2019) Songhee Cheon et al.   International Journal of Environmental Research and Public Health

Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks

(2019) Linda Zhang et al.   SLEEP

Trends in Use of Medical Imaging in US Health Care Systems and in Ontario, Canada, 2000-2016

(2019) Rebecca Smith-Bindman et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

(2019) Veit Sandfort et al.   Scientific Reports

Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders

(2019) Mehran Pesteie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A computer‐aided diagnosis system for differentiation and delineation of malignant regions on whole‐slide prostate histopathology image using spatial statistics and multidimensional DenseNet

(2019) Chiao‐Min Chen et al.   MEDICAL PHYSICS

Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients

(2019) Ruoxi Yu et al.   IEEE Journal of Biomedical and Health Informatics

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

(2019) Saeed Saadatnejad et al.   IEEE Journal of Biomedical and Health Informatics

Artificial Intelligence in Medical Practice: The Question to the Answer?

(2018) D. Douglas Miller et al.   AMERICAN JOURNAL OF MEDICINE

Prediction of Bispectral Index during Target-controlled Infusion of Propofol and Remifentanil

(2018) Hyung-Chul Lee et al.   ANESTHESIOLOGY

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

(2018) Dimitris K. Iakovidis et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

(2018) Huazhu Fu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks

(2018) Xiaofei Du et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution

(2018) Zhicheng Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine

(2018) Sajib Kumar Saha et al.   JOURNAL OF DIGITAL IMAGING

Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI

(2018) Yang Song et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Super-resolution musculoskeletal MRI using deep learning

(2018) Akshay S. Chaudhari et al.   MAGNETIC RESONANCE IN MEDICINE

Automated mammographic breast density estimation using a fully convolutional network

(2018) Juhun Lee et al.   MEDICAL PHYSICS

Deep learning based on Batch Normalization for P300 signal detection

(2018) Mingfei Liu et al.   NEUROCOMPUTING

Improving Arterial Spin Labeling by Using Deep Learning

(2018) Ki Hwan Kim et al.   RADIOLOGY

Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid–enhanced Hepatobiliary Phase MR Images

(2018) Koichiro Yasaka et al.   RADIOLOGY

Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning

(2018) Anne Nielsen et al.   STROKE

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT

(2018) Julian Betancur et al.   JACC-Cardiovascular Imaging

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

(2018) Aleksei Tiulpin et al.   Scientific Reports

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

(2018) Joel Saltz et al.   Cell Reports

Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features

(2018) Zhenyuan Ning et al.   IEEE Journal of Biomedical and Health Informatics

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Identification of autism spectrum disorder using deep learning and the ABIDE dataset

(2018) Anibal Sólon Heinsfeld et al.   NeuroImage-Clinical

Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

(2018) Sivaramakrishnan Rajaraman et al.   PeerJ

Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI

(2018) Ling-Li Zeng et al.   EBioMedicine

A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning

(2018) Naji Khosravan et al.   MEDICAL IMAGE ANALYSIS

Big Data Collection in Large-Scale Wireless Sensor Networks

(2018) Asside Djedouboum et al.   SENSORS

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Unsupervised pathology detection in medical images using conditional variational autoencoders

(2018) Hristina Uzunova et al.   International Journal of Computer Assisted Radiology and Surgery

Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression

(2018) Arun Das et al.   Future Generation Computer Systems-The International Journal of eScience

Automatic Recognition of fMRI-derived Functional Networks using 3D Convolutional Neural Networks

(2017) Yu Zhao et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Detecting Cardiovascular Disease from Mammograms With Deep Learning

(2017) Juan Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated image quality evaluation of T2 -weighted liver MRI utilizing deep learning architecture

(2017) Steven J. Esses et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep image mining for diabetic retinopathy screening

(2017) Gwenolé Quellec et al.   MEDICAL IMAGE ANALYSIS

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

(2017) Tuan Anh Ngo et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network

(2017) Thijs Kooi et al.   MEDICAL PHYSICS

Deep Learning for Health Informatics

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

Artificial intelligence in healthcare: past, present and future

(2017) Fei Jiang et al.   JOURNAL OF INVESTIGATIVE MEDICINE

Classification of breast cancer histology images using Convolutional Neural Networks

(2017) Teresa Araújo et al.   PLoS One

Accuracy of deep learning, a machine-learning technology, using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment

(2017) Hideharu Ohsugi et al.   Scientific Reports

Leveraging uncertainty information from deep neural networks for disease detection

(2017) Christian Leibig et al.   Scientific Reports

Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network

(2017) Min Chen et al.   IEEE Transactions on Big Data

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

(2016) Marios Anthimopoulos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

(2016) Mark J. J. P. van Grinsven et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

(2015) Youyi Song et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2013) David Moher   ANNALS OF INTERNAL MEDICINE

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods

(2011) G. Carneiro et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING