Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

(2019) Charlie A. Hamm et al.   EUROPEAN RADIOLOGY

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

(2018) Koichiro Yasaka et al.   EUROPEAN RADIOLOGY

Hepatocellular carcinoma

(2018) Alejandro Forner et al.   LANCET

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

(2018) Koichiro Yasaka et al.   RADIOLOGY

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

(2018) Seong Ho Park et al.   RADIOLOGY

Noninvasive Assessment of Portal Hypertension in Advanced Chronic Liver Disease: An Update

(2018) Federico Ravaioli et al.   Gastroenterology Research and Practice

Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent–enhanced CT Images in the Liver

(2018) Kyu Jin Choi et al.   RADIOLOGY

American Gastroenterological Association Institute Guideline on the Role of Elastography in the Evaluation of Liver Fibrosis

(2017) Joseph K. Lim et al.   GASTROENTEROLOGY

American Gastroenterological Association Institute Technical Review on the Role of Elastography in Chronic Liver Diseases

(2017) Siddharth Singh et al.   GASTROENTEROLOGY

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep Learning in Medical Imaging: General Overview

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

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

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

(2017) Paras Lakhani et al.   RADIOLOGY

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution

(2016) Peijun Hu et al.   PHYSICS IN MEDICINE AND BIOLOGY

Ultrasound Elastography and MR Elastography for Assessing Liver Fibrosis: Part 2, Diagnostic Performance, Confounders, and Future Directions

(2015) An Tang et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

EASL-ALEH Clinical Practice Guidelines: Non-invasive tests for evaluation of liver disease severity and prognosis

(2015)   JOURNAL OF HEPATOLOGY

Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

(2015)   LANCET

Deep learning

(2015) Yann LeCun et al.   NATURE

Non invasive tools for the diagnosis of liver cirrhosis

(2015) Maurizio Soresi   WORLD JOURNAL OF GASTROENTEROLOGY

Liver cirrhosis

(2014) Emmanuel A Tsochatzis et al.   LANCET

Noninvasive Tests for Fibrosis and Liver Stiffness Predict 5-Year Outcomes of Patients With Chronic Hepatitis C

(2011) Julien Vergniol et al.   GASTROENTEROLOGY

Direct comparison of diagnostic performance of transient elastography in patients with chronic hepatitis B and chronic hepatitis C

(2011) Ana-Carolina Cardoso et al.   LIVER INTERNATIONAL

Complication Rate of Percutaneous Liver Biopsies Among Persons With Advanced Chronic Liver Disease in the HALT-C Trial

(2010) Leonard B. Seeff et al.   Clinical Gastroenterology and Hepatology

Ultrasonographic evaluation of liver surface and transient elastography in clinically doubtful cirrhosis

(2010) Annalisa Berzigotti et al.   JOURNAL OF HEPATOLOGY

Diagnosis and Quantitation of Fibrosis

(2008) Diarmuid S. Manning et al.   GASTROENTEROLOGY