Citation Impact
Citing Papers
Development of metaverse for intelligent healthcare
2022 Standout
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
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Artificial intelligence in healthcare: past, present and future
2017 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
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
2017
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
A review on brain tumor segmentation of MRI images
2019
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology
2018
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
2018
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
2018 Standout
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
2019
Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing
2017
Preparing Medical Imaging Data for Machine Learning
2020 Standout
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks
2020
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 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
Brain tumor classification using deep CNN features via transfer learning
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
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Deep Learning for Health Informatics
2016 Standout
Applications of Deep Learning and Reinforcement Learning to Biological Data
2018
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
2019
Artificial intelligence for precision education in radiology
2019 Standout
Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning
2019
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges
2019
Deep Learning in Medical Image Analysis
2017 Standout
Learning a variational network for reconstruction of accelerated MRI data
2017
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Alexander Hubert being referenced
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
2016