Artificial intelligence in medical imaging of the liver

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

Is pathology prepared for the adoption of artificial intelligence?

(2018) Stephen T.C. Wong   CANCER CYTOPATHOLOGY

A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images

(2018) Le-Hang Guo et al.   CLINICAL HEMORHEOLOGY AND MICROCIRCULATION

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm

(2018) Mainak Biswas et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep learning for staging liver fibrosis on CT: a pilot study

(2018) Koichiro Yasaka et al.   EUROPEAN RADIOLOGY

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

(2018) Kun Wang et al.   GUT

Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept

(2018) Aaron Abajian et al.   JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY

Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies

(2018) Refael Vivanti et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

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

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey

(2018) Qinghua Huang et al.   Biomed Research International

Deep Learning for Computer Vision: A Brief Review

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

Anticipating Where People Will Look Using Adversarial Networks

(2018) Mengmi Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT

(2018) Bulat Ibragimov et al.   MEDICAL PHYSICS

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

(2018) Michał Byra et al.   International Journal of Computer Assisted Radiology and Surgery

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

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

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Combining deep learning with anatomy analysis for segmentation of portal vein for liver SBRT planning

(2017) Bulat Ibragimov et al.   PHYSICS IN MEDICINE AND BIOLOGY

From Images to Actions: Opportunities for Artificial Intelligence in Radiology

(2017) Charles E. Kahn   RADIOLOGY

Learning to Diagnose Cirrhosis with Liver Capsule Guided Ultrasound Image Classification

(2017) Xiang Liu et al.   SENSORS

A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography

(2017) Ilias Gatos et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Automatic detection of new tumors and tumor burden evaluation in longitudinal liver CT scan studies

(2017) R. Vivanti et al.   International Journal of Computer Assisted Radiology and Surgery

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

(2017) Tayfun Gokmen et al.   Frontiers in Neuroscience

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

(2017) Mohsen Ghafoorian et al.   Scientific Reports

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Automatic 3D liver location and segmentation via convolutional neural network and graph cut

(2016) Fang Lu et al.   International Journal of Computer Assisted Radiology and Surgery

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep Convolutional Neural Networks for Large-scale Speech Tasks

(2015) Tara N. Sainath et al.   NEURAL NETWORKS

Medical imaging

(2013) Herb Brody   NATURE

Efficacy of an Artificial Neural Network–Based Approach to Endoscopic Ultrasound Elastography in Diagnosis of Focal Pancreatic Masses

(2011) Adrian Săftoiu et al.   Clinical Gastroenterology and Hepatology

Neural Network Evaluation of PET Scans of the Liver: A Potentially Useful Adjunct in Clinical Interpretation

(2011) Ori Preis et al.   RADIOLOGY

Quantitative and qualitative comparison of 3.0T and 1.5T MR imaging of the liver in patients with diffuse parenchymal liver disease

(2008) Masakatsu Tsurusaki et al.   EUROPEAN JOURNAL OF RADIOLOGY