Related references
Note: Only part of the references are listed.DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large US Clinical Data Set
Ramsey M. Wehbe et al.
RADIOLOGY (2021)
The RSNA International COVID-19 Open Radiology Database (RICORD)
Emily B. Tsai et al.
RADIOLOGY (2021)
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
Ying Song et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
Leihong Wu et al.
CHEMICAL RESEARCH IN TOXICOLOGY (2021)
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning
Qiyuan Hu et al.
MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS (2021)
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis
Lihao Liu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Kang Zhang et al.
CELL (2020)
Coronavirus disease 2019 (COVID-19) imaging reporting and data system (COVID-RADS) and common lexicon: a proposal based on the imaging data of 37 studies
Sana Salehi et al.
EUROPEAN RADIOLOGY (2020)
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai et al.
RADIOLOGY (2020)
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
Keelin Murphy et al.
RADIOLOGY (2020)
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT
Harrison X. Bai et al.
RADIOLOGY (2020)
Artificial intelligence-enabled rapid diagnosis of patients with COVID-19
Xueyan Mei et al.
NATURE MEDICINE (2020)
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Yujin Oh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Nima Tajbakhsh et al.
MEDICAL IMAGE ANALYSIS (2020)
PRACTICE POINTER The role of chest radiography in confirming covid-19 pneumonia
Joanne Cleverley et al.
BMJ-BRITISH MEDICAL JOURNAL (2020)
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Cheng Jin et al.
NATURE COMMUNICATIONS (2020)
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
Alejandro Rodriguez-Ruiz et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2019)
Attention gated networks: Learning to leverage salient regions in medical images
Jo Schlemper et al.
MEDICAL IMAGE ANALYSIS (2019)
Applications of machine learning in drug discovery and development
Jessica Vamathevan et al.
NATURE REVIEWS DRUG DISCOVERY (2019)
Machine Learning in Medicine
Alvin Rajkomar et al.
NEW ENGLAND JOURNAL OF MEDICINE (2019)
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
Juri Yanase et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
A Deep Learning Model to Triage Screening Mammograms: A Simulation Study
Adam Yala et al.
RADIOLOGY (2019)
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI
Maciej A. Mazurowski et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Deep learning in medical imaging and radiation therapy
Berkman Sahiner et al.
MEDICAL PHYSICS (2019)
Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks
Mauro Annarumma et al.
RADIOLOGY (2019)
XAI-Explainable artificial intelligence
David Gunning et al.
SCIENCE ROBOTICS (2019)
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin
NATURE MACHINE INTELLIGENCE (2019)
Impact of prevalence and case distribution in lab-based diagnostic imaging studies
Brandon D. Gallas et al.
JOURNAL OF MEDICAL IMAGING (2019)
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features
Jianpeng Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)
Deep Learning in Radiology
Morgan P. McBee et al.
ACADEMIC RADIOLOGY (2018)
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
Nisreen I. R. Yassin et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Machine Learning in Medical Imaging
Maryellen L. Giger
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2018)
New machine-learning technologies for computer-aided diagnosis
Charles J. Lynch et al.
NATURE MEDICINE (2018)
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi et al.
IEEE ACCESS (2018)
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Nicholas Bien et al.
PLOS MEDICINE (2018)
Integrated Chemometrics and Statistics to Drive Successful Proteomics Biomarker Discovery
Anouk Suppers et al.
PROTEOMES (2018)
Handcrafted vs. non-handcrafted features for computer vision classification
Loris Nanni et al.
PATTERN RECOGNITION (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Neural networks for computer-aided diagnosis in medicine: A review
Di Lin et al.
NEUROCOMPUTING (2016)
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
Michael K. K. Leung et al.
PROCEEDINGS OF THE IEEE (2016)
Machine Learning in Medicine
Rahul C. Deo
CIRCULATION (2015)
Image based computer aided diagnosis system for cancer detection
Howard Lee et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Multi-Reader Multi-Case Studies Using the Area under the Receiver Operator Characteristic Curve as a Measure of Diagnostic Accuracy: Systematic Review with a Focus on Quality of Data Reporting
Thaworn Dendumrongsup et al.
PLOS ONE (2014)
Selective Search for Object Recognition
J. R. R. Uijlings et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2013)
Evaluation of computer-aided detection and diagnosis systems
Nicholas Petrick et al.
MEDICAL PHYSICS (2013)
Reader studies for validation of CAD systems
Brandon D. Gallas et al.
NEURAL NETWORKS (2008)
Computerized analysis of images in the detection and diagnosis of breast cancer
ML Giger
SEMINARS IN ULTRASOUND CT AND MRI (2004)
Efficient graph-based image segmentation
PF Felzenszwalb et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2004)