Deep learning with convolutional neural network in radiology

Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography

(2018) Germán González et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma

(2018) Imon Banerjee et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

(2018) David B. Larson et al.   RADIOLOGY

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

(2018) Koichiro Yasaka 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

Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging

(2018) Fang Liu et al.   RADIOLOGY

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network

(2018) Hongyang Jiang et al.   IEEE Journal of Biomedical and Health Informatics

Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors

(2017) Koichiro Yasaka et al.   EUROPEAN JOURNAL OF RADIOLOGY

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

(2017) Hu Chen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs

(2017) Mark Cicero et al.   INVESTIGATIVE RADIOLOGY

Deep Learning in Mammography

(2017) Anton S. Becker et al.   INVESTIGATIVE RADIOLOGY

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

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

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

(2017) Jianning Chi et al.   JOURNAL OF DIGITAL IMAGING

Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography

(2017) Takahiro Nakao et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI

(2017) Andrew P. Leynes et al.   JOURNAL OF NUCLEAR MEDICINE

Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks

(2017) Kuo Men et al.   MEDICAL PHYSICS

Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks

(2017) Bulat Ibragimov et al.   MEDICAL PHYSICS

A deep learning method for classifying mammographic breast density categories

(2017) Aly A. Mohamed et al.   MEDICAL PHYSICS

Precision of quantitative computed tomography texture analysis using image filtering

(2017) Koichiro Yasaka et al.   MEDICINE

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging

(2017) Luciano M. Prevedello et al.   RADIOLOGY

When Machines Think: Radiology’s Next Frontier

(2017) Keith J. Dreyer et al.   RADIOLOGY

From Images to Actions: Opportunities for Artificial Intelligence in Radiology

(2017) Charles E. Kahn   RADIOLOGY

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

aLow-dose CT via convolutional neural network

(2017) Hu Chen et al.   Biomedical Optics Express

Pulmonary nodule classification with deep residual networks

(2017) Aiden Nibali et al.   International Journal of Computer Assisted Radiology and Surgery

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images

(2017) QingZeng Song et al.   Journal of Healthcare Engineering

Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin

(2017) Mohsen Ghafoorian et al.   NeuroImage-Clinical

A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

(2017) Jiangwei Lao et al.   Scientific Reports

Impact of hepatocellular carcinoma heterogeneity on computed tomography as a prognostic indicator

(2017) Shigeru Kiryu 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

CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical Outcomes

(2016) Meghan G. Lubner et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

High-resolution CT with new model-based iterative reconstruction with resolution preference algorithm in evaluations of lung nodules: Comparison with conventional model-based iterative reconstruction and adaptive statistical iterative reconstruction

(2016) Koichiro Yasaka et al.   EUROPEAN JOURNAL OF RADIOLOGY

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

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

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

(2016) Philipp Kickingereder et al.   RADIOLOGY

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

(2016) Hui Li et al.   RADIOLOGY

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer

(2016) Yanqi Huang et al.   RADIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Measuring Computed Tomography Scanner Variability of Radiomics Features

(2015) Dennis Mackin et al.   INVESTIGATIVE RADIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Primary Esophageal Cancer: Heterogeneity as Potential Prognostic Biomarker in Patients Treated with Definitive Chemotherapy and Radiation Therapy

(2013) Connie Yip et al.   RADIOLOGY

Model-based iterative reconstruction for reduction of radiation dose in abdominopelvic CT: comparison to adaptive statistical iterative reconstruction

(2013) Koichiro Yasaka et al.   SpringerPlus

Abdominal CT With Model-Based Iterative Reconstruction (MBIR): Initial Results of a Prospective Trial Comparing Ultralow-Dose With Standard-Dose Imaging

(2012) Perry J. Pickhardt et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique

(2012) Masaki Katsura et al.   EUROPEAN RADIOLOGY

Model-Based Iterative Reconstruction Technique for Ultralow-Dose Computed Tomography of the Lung

(2012) Yoshitake Yamada et al.   INVESTIGATIVE RADIOLOGY

Measurements of heterogeneity in gliomas on computed tomography relationship to tumour grade

(2012) Karoline Skogen et al.   JOURNAL OF NEURO-ONCOLOGY

Rhabdomyosarcoma: Review of the Children's Oncology Group (COG) soft-tissue Sarcoma committee experience and rationale for current COG studies

(2012) Suman Malempati et al.   PEDIATRIC BLOOD & CANCER

Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and a Model-based Iterative Reconstruction in Abdominal CT: An Experimental Clinical Study

(2012) Zsuzsanna Deák et al.   RADIOLOGY

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

(2012) Francesca Ng et al.   RADIOLOGY

Assessment of Response to Tyrosine Kinase Inhibitors in Metastatic Renal Cell Cancer: CT Texture as a Predictive Biomarker

(2011) Vicky Goh et al.   RADIOLOGY

IDH1andIDH2Mutations in Gliomas

(2009) Hai Yan et al.   NEW ENGLAND JOURNAL OF MEDICINE

An Integrated Genomic Analysis of Human Glioblastoma Multiforme

(2008) D. W. Parsons et al.   SCIENCE