Citation Impact
Citing Papers
Development of metaverse for intelligent healthcare
2022 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
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
2021 Standout
Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
2018
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts
2013
Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme
2019
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Advanced Neuroimaging of Cerebral Small Vessel Disease
2017
Big data and machine learning algorithms for health-care delivery
2019 Standout
Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders
2018 Standout
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 Standout
A survey on deep learning in medical image analysis
2017 Standout
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
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
Measuring the Quality of Explanations: The System Causability Scale (SCS)
2020
Deep learning based classification of breast tumors with shear-wave elastography
2016
A guide to deep learning in healthcare
2018 Standout
Small vessel disease: mechanisms and clinical implications
2019 Standout
Racial Differences in Quantitative Measures of Area and Volumetric Breast Density
2016
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
2017 Standout
Defining trained immunity and its role in health and disease
2020 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
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks
2019
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
2020
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 as Augmenting Automation: Implications for Employment
2020 Standout
Algorithms at Work: The New Contested Terrain of Control
2019 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
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
Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
2013
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
2018
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
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
A deep inference learning framework for healthcare
2018
Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network
2020 Standout
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
Deep Learning for Generic Object Detection: A Survey
2019 Standout
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
2019 Standout
Trained Immunity Characteristics Are Associated With Progressive Cerebral Small Vessel Disease
2018
Deep Learning in Medical Image Analysis
2017 Standout
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
2019
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks
2017
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
2020 Standout
Diagnosis of Parkinson’s disease using deep CNN with transfer learning and data augmentation
2020
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
2016
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Bram Platel being referenced
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
2017
A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution
2015
A Novel Approach to Contrast-Enhanced Breast Magnetic Resonance Imaging for Screening
2014
Automated localization of breast cancer in DCE-MRI
2014
Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation Study
2014
Evaluation of the Effect of Computer-Aided Classification of Benign and Malignant Lesions on Reader Performance in Automated Three-dimensional Breast Ultrasound
2013
Segmentation of malignant lesions in 3D breast ultrasound using a depth‐dependent model
2016
Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk
2015
Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease
2016
Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions
2017
Progression of White Matter Hyperintensities Preceded by Heterogeneous Decline of Microstructural Integrity
2018
Computer aided detection of brain micro-bleeds in traumatic brain injury
2015
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation
2012
Textural analysis of early‐phase spatiotemporal changes in contrast enhancement of breast lesions imaged with an ultrafast DCE ‐MRI protocol
2017
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation
2016
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol
2013
Nonlinear temporal dynamics of cerebral small vessel disease
2017