Citation Impact
Citing Papers
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Attention gated networks: Learning to leverage salient regions in medical images
2019 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
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
2020
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System
2018
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
2019
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability
2022
AI in health and medicine
2022 Standout
Convolutional neural networks: an overview and application in radiology
2018 Standout
RAMS: Remote and automatic mammogram screening
2019
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
Performance of Deep Learning Model in Detecting Operable Lung Cancer With Chest Radiographs
2019
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
Designing deep learning studies in cancer diagnostics
2021
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
A guide to deep learning in healthcare
2018 Standout
Deep Learning: A Primer for Radiologists
2017
Clinical Trials for Artificial Intelligence in Cancer Diagnosis: A Cross-Sectional Study of Registered Trials in ClinicalTrials.gov
2020
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
2019
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Applications of machine learning in drug discovery and development
2019 Standout
Racial Differences in Quantitative Measures of Area and Volumetric Breast Density
2016
Digital pathology and artificial intelligence
2019 Standout
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
2017 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
Artificial intelligence in healthcare
2018 Standout
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
2020 Standout
Artificial Intelligence for Clinical Trial Design
2019
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Artificial intelligence in drug discovery and development
2020 Standout
Artificial Intelligence as Augmenting Automation: Implications for Employment
2020 Standout
Algorithms at Work: The New Contested Terrain of Control
2019 Standout
Deep Learning and Its Applications in Biomedicine
2018
A Deep Learning Model to Triage Screening Mammograms: A Simulation Study
2019
When Machines Think: Radiology’s Next Frontier
2017
Artificial intelligence in the interpretation of breast cancer on MRI
2019
Deep Learning for Health Informatics
2016 Standout
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images
2018
Applications of Deep Learning and Reinforcement Learning to Biological Data
2018
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
2022 Standout
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
2017
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
2018
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
2019
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images
2016
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Detection and characterization of MRI breast lesions using deep learning
2019
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
2021 Standout
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI
2018
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation
2020
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system
2020 Standout
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy
2021
Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers
2018
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Albert Gubern‐Mérida being referenced
A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution
2015
Local breast density assessment using reacquired mammographic images
2017
Automated localization of breast cancer in DCE-MRI
2014
Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation Study
2014
Segmentation of malignant lesions in 3D breast ultrasound using a depth‐dependent model
2016
Large scale deep learning for computer aided detection of mammographic lesions
2016
Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk
2015
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
2019
Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis
2017
Fully automated detection of breast cancer in screening MRI using convolutional neural networks
2018
Artificial Intelligence–Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI
2019
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
2016
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
2018
Improving computer-aided detection assistance in breast cancer screening by removal of obviously false-positive findings
2017