Citation Impact
Citing Papers
Multiphoton Phosphorescence Quenching Microscopy Reveals Kinetics of Tumor Oxygenation during Antiangiogenesis and Angiotensin Signaling Inhibition
2022 StandoutNobel
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
2019
Development of metaverse for intelligent healthcare
2022 Standout
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
2020 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
2021 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning
2020
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders
2020 Standout
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
2021 Standout
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
2019
AI in health and medicine
2022 Standout
Large language models in medicine
2023 Standout
Big data and machine learning algorithms for health-care delivery
2019 Standout
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Multimodal biomedical AI
2022 Standout
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 Standout
Privacy in the age of medical big data
2018 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Federated learning and differential privacy for medical image analysis
2022
Deep learning-enabled medical computer vision
2021
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
2022
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Applications of artificial intelligence in battling against covid-19: A literature review
2020
Artificial intelligence in radiology
2018 Standout
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
2020 Standout
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
2020 Standout
The false hope of current approaches to explainable artificial intelligence in health care
2021 Standout
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework
2020
Artificial Intelligence and Deep Learning in Ophthalmology
2018
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Machine Learning in Medicine
2019 Standout
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
AI for radiographic COVID-19 detection selects shortcuts over signal
2021
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
2020 Standout
Tackling the Radiological Society of North America Pneumonia Detection Challenge
2019
Defining the biological basis of radiomic phenotypes in lung cancer
2017
Works of Ken Chang being referenced
Bevacizumab Reduces Permeability and Concurrent Temozolomide Delivery in a Subset of Patients with Recurrent Glioblastoma
2019
Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab
2017
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks
2020
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas
2019
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
2018
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
2021
Distributed deep learning networks among institutions for medical imaging
2018
Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab
2016
Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning
2018
An exploration of uncertainty information for segmentation quality assessment
2020
Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas
2016