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

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks

(2018) D.H. Kim et al.   CLINICAL RADIOLOGY

Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI

(2018) Enhao Gong et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Super-resolution musculoskeletal MRI using deep learning

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

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

(2018) Christian Wachinger et al.   NEUROIMAGE

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

(2018) Youngjin Yoo et al.   NeuroImage-Clinical

ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

(2017) Amir Jamaludin et al.   EUROPEAN SPINE JOURNAL

Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View

(2017) Amir H. Abdi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

(2017) Panagiotis Korfiatis et al.   JOURNAL OF DIGITAL IMAGING

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL 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

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences

(2017) A. Benou et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Deep ensemble learning of sparse regression models for brain disease diagnosis

(2017) Heung-Il Suk et al.   MEDICAL IMAGE ANALYSIS

Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks

(2017) Jiamin Liu et al.   MEDICAL PHYSICS

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

(2017) Eunhee Kang et al.   MEDICAL PHYSICS

MR-based synthetic CT generation using a deep convolutional neural network method

(2017) Xiao Han   MEDICAL PHYSICS

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

(2017) Natalia Antropova et al.   MEDICAL PHYSICS

Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Medical image retrieval using deep convolutional neural network

(2017) Adnan Qayyum et al.   NEUROCOMPUTING

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

(2017) Sergi Valverde et al.   NEUROIMAGE

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

aLow-dose CT via convolutional neural network

(2017) Hu Chen et al.   Biomedical Optics Express

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification

(2017) Ashnil Kumar et al.   IEEE Journal of Biomedical and Health Informatics

FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks

(2017) Lingyun Wu et al.   IEEE Transactions on Cybernetics

Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma

(2017) Zeju Li et al.   Scientific Reports

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

(2017) Stefano Trebeschi et al.   Scientific Reports

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning

(2017) Xinggang Wang et al.   Scientific Reports

Review of medical image quality assessment

(2016) Li Sze Chow et al.   Biomedical Signal Processing and Control

Reconstruction of 7T-Like Images From 3T MRI

(2016) Khosro Bahrami et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

(2016) Qi Dou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improving Computer-Aided Detection Using_newlineConvolutional Neural Networks and Random View Aggregation

(2016) Holger R. Roth et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

(2016) M.R. Avendi et al.   MEDICAL IMAGE ANALYSIS

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

(2016) Ravi K. Samala et al.   MEDICAL PHYSICS

Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms

(2015) Maciej A. Mazurowski et al.   EUROPEAN JOURNAL OF RADIOLOGY

Radiogenomics: What It Is and Why It Is Important

(2015) Maciej A. Mazurowski   Journal of the American College of Radiology

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging

(2014) Maciej A. Mazurowski et al.   RADIOLOGY

Imaging descriptors improve the predictive power of survival models for glioblastoma patients

(2013) M. A. Mazurowski et al.   NEURO-ONCOLOGY

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set

(2013) David A. Gutman et al.   RADIOLOGY

Radiogenomics of Clear Cell Renal Cell Carcinoma: Associations between CT Imaging Features and Mutations

(2013) Christoph A. Karlo et al.   RADIOLOGY