A descriptive framework for the field of deep learning applications in medical images

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

(2020) Sanne G. M. van Velzen et al.   RADIOLOGY

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

(2020) Alessandro Repici et al.   GASTROENTEROLOGY

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography

(2020) Suyu Dong et al.   MEDICAL IMAGE ANALYSIS

Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

(2020) Hyunseok Seo et al.   MEDICAL PHYSICS

Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography

(2020) Mohammad Eslami et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

(2020) Florian Dubost et al.   MEDICAL IMAGE ANALYSIS

Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications

(2020) Jose M. Castillo T. et al.   Cancers

Automatic segmentation of left ventricle using parallel end–end deep convolutional neural networks framework

(2020) Zhangfu Dong et al.   KNOWLEDGE-BASED SYSTEMS

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

(2020) Longlong Jing et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated identification and grading system of diabetic retinopathy using deep neural networks

(2019) Wei Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists

(2019) Kentaro Nakagawa et al.   GASTROINTESTINAL ENDOSCOPY

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Detection and localization of myocardial infarction based on a convolutional autoencoder

(2019) Kaiji Sugimoto et al.   KNOWLEDGE-BASED SYSTEMS

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

(2019) Adam Yala et al.   RADIOLOGY

Gastroenterologist-level Identification of Small Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-learning Model

(2019) Zhen Ding et al.   GASTROENTEROLOGY

Deep membrane systems for multitask segmentation in diabetic retinopathy

(2019) Jie Xue et al.   KNOWLEDGE-BASED SYSTEMS

Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

(2019) Teck Yan Tan et al.   KNOWLEDGE-BASED SYSTEMS

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

(2019) Ken Chang et al.   NEURO-ONCOLOGY

Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images

(2019) Jaemin Son et al.   OPHTHALMOLOGY

Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists

(2019) Mateusz Buda et al.   RADIOLOGY

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

(2019) Nan Zhang et al.   RADIOLOGY

PET image denoising using unsupervised deep learning

(2019) Jianan Cui et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms

(2019) Ayelet Akselrod-Ballin et al.   RADIOLOGY

Superior skin cancer classification by the combination of human and artificial intelligence

(2019) Achim Hekler et al.   EUROPEAN JOURNAL OF CANCER

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images

(2019) Xiuyuan Xu et al.   KNOWLEDGE-BASED SYSTEMS

Self-supervised learning for medical image analysis using image context restoration

(2019) Liang Chen et al.   MEDICAL IMAGE ANALYSIS

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification

(2019) Gongning Luo et al.   MEDICAL IMAGE ANALYSIS

Thorax disease classification with attention guided convolutional neural network

(2019) Qingji Guan et al.   PATTERN RECOGNITION LETTERS

Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI

(2019) Ponnada A. Narayana et al.   RADIOLOGY

Automatic Construction of Chinese Herbal Prescriptions From Tongue Images Using CNNs and Auxiliary Latent Therapy Topics

(2019) Yang Hu et al.   IEEE Transactions on Cybernetics

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

(2018) H A Haenssle et al.   ANNALS OF ONCOLOGY

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy

(2018) Gregor Urban et al.   GASTROENTEROLOGY

Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

(2018) Peng-Jen Chen et al.   GASTROENTEROLOGY

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

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

(2018) Qingsong Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improving accuracy of simultaneously reconstructed activity and attenuation maps using deep learning

(2018) Donghwi Hwang et al.   JOURNAL OF NUCLEAR MEDICINE

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

(2018) Felix Grassmann et al.   OPHTHALMOLOGY

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

(2018) Zhixi Li et al.   OPHTHALMOLOGY

Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

(2018) Thomas Schlegl et al.   OPHTHALMOLOGY

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 MR Imaging–based Attenuation Correction for PET/MR Imaging

(2018) Fang Liu et al.   RADIOLOGY

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

(2018) Joel Saltz et al.   Cell Reports

Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells

(2018) Dai Kusumoto et al.   Stem Cell Reports

Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings

(2018) Jouha Min et al.   ACS Nano

Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction

(2018) Angel Torrado-Carvajal et al.   JOURNAL OF NUCLEAR MEDICINE

Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models

(2018) Yidong Chai et al.   KNOWLEDGE-BASED SYSTEMS

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

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

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

(2018) Fang Liu et al.   RADIOLOGY

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

(2018) Ju Gang Nam et al.   RADIOLOGY

Development and Validation of a Deep Learning-Based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

(2018) Eui Jin Hwang et al.   CLINICAL INFECTIOUS DISEASES

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

(2018) Yoshimasa Horie et al.   GASTROINTESTINAL ENDOSCOPY

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

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

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs

(2018) Yifan Peng et al.   OPHTHALMOLOGY

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

(2018) Rory Sayres et al.   OPHTHALMOLOGY

Multi-label chest X-ray image classification via category-wise residual attention learning

(2018) Qingji Guan et al.   PATTERN RECOGNITION LETTERS

Deep Learning–based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study

(2018) Qian Tao et al.   RADIOLOGY

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

(2018) Constance D. Lehman et al.   RADIOLOGY

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network

(2018) Tomonori Aoki et al.   GASTROINTESTINAL ENDOSCOPY

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation

(2018) Dong Nie et al.   IEEE Transactions on Neural Networks and Learning Systems

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model

(2017) Michael F Byrne et al.   GUT

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

(2017) Florin Cristian Ghesu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

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

Generation of Structural MR Images from Amyloid PET: Application to MR-Less Quantification

(2017) Hongyoon Choi et al.   JOURNAL OF NUCLEAR MEDICINE

Forum latent Dirichlet allocation for user interest discovery

(2017) Chaotao Chen et al.   KNOWLEDGE-BASED SYSTEMS

Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network

(2017) U. Rajendra Acharya et al.   KNOWLEDGE-BASED SYSTEMS

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

(2017) Konstantinos Kamnitsas 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

Automated Identification of Diabetic Retinopathy Using Deep Learning

(2017) Rishab Gargeya et al.   OPHTHALMOLOGY

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

(2017) Luciano M. Prevedello et al.   RADIOLOGY

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

(2017) Paras Lakhani et al.   RADIOLOGY

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

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

(2016) Marios Anthimopoulos 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

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation

(2015) Sérgio Moro et al.   EXPERT SYSTEMS WITH APPLICATIONS

Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040

(2014) Yih-Chung Tham et al.   OPHTHALMOLOGY

Global estimates of undiagnosed diabetes in adults

(2013) Jessica Beagley et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Global Prevalence of Vision Impairment and Blindness

(2013) Gretchen A. Stevens et al.   OPHTHALMOLOGY

Causes of vision loss worldwide, 1990–2010: a systematic analysis

(2013) Rupert R A Bourne et al.   Lancet Global Health

Seeding the survey and analysis of research literature with text mining

(2007) Dursun Delen et al.   EXPERT SYSTEMS WITH APPLICATIONS