A survey on deep learning in medicine: Why, how and when?

The application of unsupervised deep learning in predictive models using electronic health records

(2020) Lei Wang et al.   BMC Medical Research Methodology

What is AI? Applications of artificial intelligence to dermatology

(2020) X. Du‐Harpur et al.   BRITISH JOURNAL OF DERMATOLOGY

Predicting inpatient medication orders from electronic health record data

(2020) Kathryn Rough et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence

(2020) Marco Caballo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

(2020) Eugene Lin et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks

(2020) Zhenxing Xu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors

(2020) Na Le Dang et al.   Journal of Chemical Information and Modeling

Real-time Malaria Parasite Screening in Thick Blood Smears for Low-Resource Setting

(2020) Samson Chibuta et al.   JOURNAL OF DIGITAL IMAGING

Artificial intelligence as the next step towards precision pathology

(2020) B. Acs et al.   JOURNAL OF INTERNAL MEDICINE

A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks

(2020) Salman Ul Hassan Dar et al.   MAGNETIC RESONANCE IN MEDICINE

Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs

(2020) Marco Jost et al.   NATURE BIOTECHNOLOGY

User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions

(2020) Mattea L. Welch et al.   Physica Medica-European Journal of Medical Physics

Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer

(2020) Jie Fu et al.   PHYSICS IN MEDICINE AND BIOLOGY

Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans

(2020) Tim Gerardus William Boers et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep Learning in Physiological Signal Data: A Survey

(2020) Beanbonyka Rim et al.   SENSORS

Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG

(2020) Mihaela Porumb et al.   Scientific Reports

Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy

(2020) Dominik C. Benz et al.   Journal of Cardiovascular Computed Tomography

Deep Learning Based Drug Metabolites Prediction

(2020) Disha Wang et al.   Frontiers in Pharmacology

Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology

(2020) Wei-Chun Lin et al.   Translational Vision Science & Technology

The Application of Deep Learning in Cancer Prognosis Prediction

(2020) Wan Zhu et al.   Cancers

Deep learning methods in protein structure prediction

(2020) Mirko Torrisi et al.   Computational and Structural Biotechnology Journal

RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites

(2020) Hussam AL-barakati et al.   Computational and Structural Biotechnology Journal

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multi-center study

(2020) D. Dong et al.   ANNALS OF ONCOLOGY

A novel deep mining model for effective knowledge discovery from omics data

(2020) Abeer Alzubaidi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing

(2020) Mohammad-Parsa Hosseini et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI

(2020) Wenqing Hua et al.   Biomedical Signal Processing and Control

A convolutional neural network-based system to classify patients using FDG PET/CT examinations

(2020) Keisuke Kawauchi et al.   BMC CANCER

Usefulness of Machine-Learning-Based Detection and Classification of Cardiac Arrhythmias with 12-Lead Electrocardiograms

(2020) Kuan-Cheng Chang et al.   CANADIAN JOURNAL OF CARDIOLOGY

Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring

(2020) Diego Alvarez-Estevez et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection

(2020) Han Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification

(2020) Zijuan Zhao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides

(2020) Ann-Christin Woerl et al.   EUROPEAN UROLOGY

Feature article: A generative adversarial network for artifact removal in photoacoustic computed tomography with a linear-array transducer

(2020) Tri Vu et al.   EXPERIMENTAL BIOLOGY AND MEDICINE

Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique

(2020) Hung-Hsun Chen et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samples

(2020) Sarah W.E. Baalman et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Dosimetric evaluation of synthetic CT generated with GANs for MRI-only proton therapy treatment planning of brain tumors

(2020) Samaneh Kazemifar et al.   Journal of Applied Clinical Medical Physics

Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening

(2020) Yi-Ting Hsieh et al.   JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION

Denoising arterial spin labeling perfusion MRI with deep machine learning

(2020) Danfeng Xie et al.   MAGNETIC RESONANCE IMAGING

Combining DC-GAN with ResNet for blood cell image classification

(2020) Li Ma et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images

(2020) Nathan Orlando et al.   MEDICAL PHYSICS

Uncovering the key dimensions of high-throughput biomolecular data using deep learning

(2020) Shixiong Zhang et al.   NUCLEIC ACIDS RESEARCH

Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review

(2020) Saleem Z. Ramadan   Journal of Healthcare Engineering

A Machine-learning Approach for the Assessment of the Proliferative Compartment of Solid Tumors on Hematoxylin-Eosin-Stained Sections

(2020) Francesco Martino et al.   Cancers

Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations

(2020) Stephanie Chan et al.   Dermatology and Therapy

Deep learning based prediction of species-specific protein S-glutathionylation sites

(2020) Shihua Li et al.   BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS

Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis

(2020) Md Mohaimenul Islam et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Metabolic pathway engineering: Perspectives and applications

(2020) Abhijit Dasgupta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Feature rearrangement based deep learning system for predicting heart failure mortality

(2020) Zhe Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A holistic deep learning approach for identification and classification of sub-solid lung nodules in computed tomographic scans

(2020) G. Savitha et al.   COMPUTERS & ELECTRICAL ENGINEERING

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention

(2020) Guang Yang et al.   Future Generation Computer Systems-The International Journal of eScience

Harmonized representation learning on dynamic EHR graphs

(2020) Dongha Lee et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Machine learning, the kidney, and genotype–phenotype analysis

(2020) Rachel S.G. Sealfon et al.   KIDNEY INTERNATIONAL

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

(2020) Susmita Saha et al.   NEUROIMAGE

A Deep Learning approach for Path Prediction in a Location-based IoT system

(2020) Francesco Piccialli et al.   Pervasive and Mobile Computing

An accurate and dynamic predictive model for a smart M-Health system using machine learning

(2020) Kashif Naseer Qureshi et al.   INFORMATION SCIENCES

Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers

(2019) Polina Mamoshina et al.   Scientific Reports

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning

(2019) Yue Deng et al.   NATURE METHODS

Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain

(2019) Hyeong Hun Lee et al.   MAGNETIC RESONANCE IN MEDICINE

LSTM Model for Prediction of Heart Failure in Big Data

(2019) G. Maragatham et al.   JOURNAL OF MEDICAL SYSTEMS

Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks

(2019) Xiaozheng Li et al.   BMC BIOINFORMATICS

Developing neural network models for early detection of cardiac arrest in emergency department

(2019) Dong-Hyun Jang et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Interpretable Deep Learning to Map Diagnostic Texts to ICD10 Codes

(2019) Aitziber Atutxa et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data

(2019) X. Yi et al.   JOURNAL OF DIGITAL IMAGING

A Region-Based Deep Level Set Formulation for Vertebral Bone Segmentation of Osteoporotic Fractures

(2019) Faisal Rehman et al.   JOURNAL OF DIGITAL IMAGING

Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk

(2019) Jian Zhou et al.   NATURE GENETICS

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

(2019) Siegfried Gessulat et al.   NATURE METHODS

Deep learning: new computational modelling techniques for genomics

(2019) Gökcen Eraslan et al.   NATURE REVIEWS GENETICS

Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network

(2019) Qichen Li et al.   PHYSIOLOGICAL MEASUREMENT

Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings

(2019) Shenda Hong et al.   PHYSIOLOGICAL MEASUREMENT

Deep Learning: Current and Emerging Applications in Medicine and Technology

(2019) Altug Akay et al.   IEEE Journal of Biomedical and Health Informatics

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets

(2019) Jongha Park et al.   JOURNAL OF DIGITAL IMAGING

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT

(2019) David Dreizin et al.   JOURNAL OF DIGITAL IMAGING

Parallel Architecture of Fully Convolved Neural Network for Retinal Vessel Segmentation

(2019) Sathananthavathi .V et al.   JOURNAL OF DIGITAL IMAGING

Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

(2019) Akshay S. Chaudhari et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease

(2019) Wen Cao et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Machine and deep learning meet genome-scale metabolic modeling

(2019) Guido Zampieri et al.   PLoS Computational Biology

Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation

(2019) S. Park et al.   Diagnostic and Interventional Imaging

Identification of prokaryotic promoters and their strength by integrating heterogeneous features

(2019) Hilal Tayara et al.   GENOMICS

Deep Learning in Personalization of Cardiovascular Stents

(2019) Yugyung Lee et al.   JOURNAL OF CARDIOVASCULAR PHARMACOLOGY AND THERAPEUTICS

Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning

(2019) Michal Byra et al.   MAGNETIC RESONANCE IN MEDICINE

Fully automated patellofemoral MRI segmentation using holistically nested networks: Implications for evaluating patellofemoral osteoarthritis, pain, injury, pathology, and adolescent development

(2019) Ruida Cheng et al.   MAGNETIC RESONANCE IN MEDICINE

Highly undersampled magnetic resonance imaging reconstruction using autoencoding priors

(2019) Qiegen Liu et al.   MAGNETIC RESONANCE IN MEDICINE

Multi-projection deep learning network for segmentation of 3D medical images

(2019) Rarasmaya Indraswari et al.   PATTERN RECOGNITION LETTERS

Fetal electrocardiography extraction with residual convolutional encoder–decoder networks

(2019) Wei Zhong et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Deep learning-based cardiovascular image diagnosis: A promising challenge

(2019) Kelvin K.L. Wong et al.   Future Generation Computer Systems-The International Journal of eScience

Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multi-Step Training and Validation Study with Benchmarking

(2019) A.J. de Groof et al.   GASTROENTEROLOGY

A machine learning method correlating pulse pressure wave data with pregnancy

(2019) Jianhong Chen et al.   International Journal for Numerical Methods in Biomedical Engineering

Diagnosis of Benign and Malignant Breast Lesions on DCE‐MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue

(2019) Jiejie Zhou et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI

(2019) Santiago Estrada et al.   MAGNETIC RESONANCE IN MEDICINE

Image registration in dynamic renal MRI—current status and prospects

(2019) Frank G. Zöllner et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Knowledge‐based automated planning with three‐dimensional generative adversarial networks

(2019) Aaron Babier et al.   MEDICAL PHYSICS

A fast and scalable method for quality assurance of deformable image registration on lung CT scans using convolutional neural networks

(2019) Shaikat M. Galib et al.   MEDICAL PHYSICS

Synthesizing images from multiple kernels using a deep convolutional neural network

(2019) Andrew D. Missert et al.   MEDICAL PHYSICS

Deep learning modeling using normal mammograms for predicting breast cancer risk

(2019) Dooman Arefan et al.   MEDICAL PHYSICS

Anatomical context protects deep learning from adversarial perturbations in medical imaging

(2019) Yi Li et al.   NEUROCOMPUTING

DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction

(2019) Yanbu Guo et al.   NEUROCOMPUTING

From computational genomics to systems metabolomics for precision cancer medicine and drug discovery

(2019) Lilia Alberghina et al.   PHARMACOLOGICAL RESEARCH

A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration

(2019) Zhuoran Jiang et al.   PHYSICS IN MEDICINE AND BIOLOGY

Spine Explorer: a deep learning based fully automated program for efficient and reliable quantifications of the vertebrae and discs on sagittal lumbar spine MR images

(2019) Jiawei Huang et al.   Spine Journal

Artificial intelligence in clinical and genomic diagnostics

(2019) Raquel Dias et al.   Genome Medicine

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Artificial Intelligence in Medicine: Where Are We Now?

(2019) Sagar Kulkarni et al.   ACADEMIC RADIOLOGY

A deep learning architecture for metabolic pathway prediction

(2019) Mayank Baranwal et al.   BIOINFORMATICS

Automatic classification of male and female skeletal muscles using ultrasound imaging

(2019) Jingxu Xu et al.   Biomedical Signal Processing and Control

Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology

(2019) Henrik Failmezger et al.   CANCER RESEARCH

Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework

(2019) Ata Jodeiri et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A bone age assessment system for real-world X-ray images based on convolutional neural networks

(2019) Jiajia Guo et al.   COMPUTERS & ELECTRICAL ENGINEERING

Application of Artificial Intelligence to Gastroenterology and Hepatology

(2019) Catherine Le Berre et al.   GASTROENTEROLOGY

Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi

(2019) Takafumi Nemoto et al.   JOURNAL OF RADIATION RESEARCH

Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks

(2019) Sibaji Gaj et al.   MAGNETIC RESONANCE IN MEDICINE

A human-in-the-loop deep learning paradigm for synergic visual evaluation in children

(2019) Kai Zhang et al.   NEURAL NETWORKS

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies

(2019) Robert A. Brown et al.   NEUROIMAGE

Investigating single image super-resolution algorithm with deep learning using convolutional neural network for chest digital tomosynthesis

(2019) Tae-Hyung Kim et al.   OPTIK

Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images

(2019) Mateusz Buda et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy

(2019) M. Antico et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

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

Convolutional Recurrent Neural Networks for Glucose Prediction

(2019) Kezhi Li et al.   IEEE Journal of Biomedical and Health Informatics

Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features

(2019) Zijie Yue et al.   IEEE Journal of Biomedical and Health Informatics

The risk prediction of Alzheimer’s disease based on the deep learning model of brain 18F-FDG positron emission tomography

(2019) Zhiguang Yang et al.   SAUDI JOURNAL OF BIOLOGICAL SCIENCES

Management of incidental pulmonary nodules: current strategies and future perspectives

(2019) Tae Jung Kim et al.   Expert Review of Respiratory Medicine

Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction

(2019) Xinle Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Exploring Deep Learning Models for Overhead View Multiple Object Detection

(2019) Imran Ahmed et al.   IEEE Internet of Things Journal

Modeling polypharmacy side effects with graph convolutional networks

(2018) Marinka Zitnik et al.   BIOINFORMATICS

Survey on deep learning for radiotherapy

(2018) Philippe Meyer et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

(2018) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

(2018) Tran Minh Quan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

PEA: Parallel electrocardiogram-based authentication for smart healthcare systems

(2018) Yin Zhang et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Deep learning with domain adaptation for accelerated projection-reconstruction MR

(2018) Yoseob Han et al.   MAGNETIC RESONANCE IN MEDICINE

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

(2018) Majd Zreik et al.   MEDICAL IMAGE ANALYSIS

Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer

(2018) Yang Guo et al.   NEUROCOMPUTING

Deep learning for image-based cancer detection and diagnosis − A survey

(2018) Zilong Hu et al.   PATTERN RECOGNITION

A study of deep convolutional auto-encoders for anomaly detection in videos

(2018) Manassés Ribeiro et al.   PATTERN RECOGNITION LETTERS

Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks

(2018) Faezeh Movahedi et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning

(2018) Haotian Teng et al.   GigaScience

Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis

(2018) Alfonso Rojas-Dominguez et al.   IEEE Access

Deep Learning and Its Applications in Biomedicine

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

Deep learning-based transcriptome data classification for drug-target interaction prediction

(2018) Lingwei Xie et al.   BMC GENOMICS

Deep learning in omics: a survey and guideline

(2018) Zhiqiang Zhang et al.   Briefings in Functional Genomics

Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology

(2018) Bhargava K Reddy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Chest Diseases Detection

(2018) Rahib H. Abiyev et al.   Journal of Healthcare Engineering

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

(2018) Maciej A. Mazurowski et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimization

(2018) Ramani Selvanambi et al.   NEURAL COMPUTING & APPLICATIONS

An overview of deep learning in medical imaging focusing on MRI

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

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

(2018) Muhammed Talo et al.   Cognitive Systems Research

Human emotion recognition using deep belief network architecture

(2018) Mohammad Mehedi Hassan et al.   Information Fusion

Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks

(2017) Youbao Tang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting healthcare trajectories from medical records: A deep learning approach

(2017) Trang Pham et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Artificial Intelligence in Precision Cardiovascular Medicine

(2017) Chayakrit Krittanawong et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

(2017) Eunhee Kang et al.   MEDICAL PHYSICS

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

(2017) Safoora Yousefi et al.   Scientific Reports

Deep Learning in Microscopy Image Analysis: A Survey

(2017) Fuyong Xing et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

(2017) Benjamin Shickel et al.   IEEE Journal of Biomedical and Health Informatics

An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

(2017) Erping Long et al.   Nature Biomedical Engineering

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

(2017) Joon Yul Choi et al.   PLoS One

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

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

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images

(2016) Phillip M. Cheng et al.   JOURNAL OF DIGITAL IMAGING

Applications of Deep Learning in Biomedicine

(2016) Polina Mamoshina et al.   MOLECULAR PHARMACEUTICS

High-Resolution SAR Image Classification via Deep Convolutional Autoencoders

(2015) Jie Geng et al.   IEEE Geoscience and Remote Sensing Letters

Deep Reconstruction Models for Image Set Classification

(2015) Munawar Hayat et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Application of Deep Belief Networks for Natural Language Understanding

(2014) Ruhi Sarikaya et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

BodyCloud: A SaaS approach for community Body Sensor Networks

(2013) Giancarlo Fortino et al.   Future Generation Computer Systems-The International Journal of eScience

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

(2013) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE