Citation Impact
Citing Papers
Development of metaverse for intelligent healthcare
2022 Standout
Secure, privacy-preserving and federated machine learning in medical imaging
2020 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
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
Automatic detection of large pulmonary solid nodules in thoracic CT images
2015
Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study
2016
Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs
2018
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
A curated mammography data set for use in computer-aided detection and diagnosis research
2017
Convolutional neural networks: an overview and application in radiology
2018 Standout
An automated confirmatory system for analysis of mammograms
2015
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
Preparing Medical Imaging Data for Machine Learning
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
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm
2017
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
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
2017 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data
2016
Artificial intelligence in radiology
2018 Standout
Artificial intelligence in healthcare
2018 Standout
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
2020 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
Improving renewable energy policy planning and decision-making through a hybrid MCDM method
2019 Standout
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies
2013
A survey on Image Data Augmentation for Deep Learning
2019 Standout
An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
2020 Standout
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
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
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
2016
Deep Learning in Medical Image Analysis
2017 Standout
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks
2017
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Maxine Tan being referenced
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model
2014
Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules
2013
A new and fast image feature selection method for developing an optimal mammographic mass detection scheme
2014
A novel computer-aided lung nodule detection system for CT images
2011
Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy
2016
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology
2016
Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer Development
2016
Association between Computed Tissue Density Asymmetry in Bilateral Mammograms and Near-term Breast Cancer Risk
2014
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study
2016