Citation Impact
Citing Papers
State-of-the-art in artificial neural network applications: A survey
2018 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders
2020 Standout
Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation
2020
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Predicting cyclooxygenase inhibition by three-dimensional pharmacophoric profiling. Part II: Identification of enzyme inhibitors from Prasaplai, a Thai traditional medicine
2010
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
2016
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
2018
Convolutional neural networks: an overview and application in radiology
2018 Standout
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Designing deep learning studies in cancer diagnostics
2021
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
aLow-dose CT via convolutional neural network
2017
Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution
2016
Current applications and future directions of deep learning in musculoskeletal radiology
2019
Representation learning for mammography mass lesion classification with convolutional neural networks
2016
A guide to deep learning in healthcare
2018 Standout
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
2017 Standout
Fast and robust segmentation of the striatum using deep convolutional neural networks
2016
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 Standout
Applications of machine learning in drug discovery and development
2019 Standout
Artificial Intelligence in Cardiology
2018 Standout
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
2016
Digital pathology and artificial intelligence
2019 Standout
End-to-end design of wearable sensors
2022 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
Discovery and resupply of pharmacologically active plant-derived natural products: A review
2015 Standout
Artificial intelligence in radiology
2018 Standout
Artificial intelligence in healthcare
2018 Standout
Automatic 3D liver location and segmentation via convolutional neural network and graph cut
2016
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
2017
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation
2015
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network
2017
Anatomy-specific classification of medical images using deep convolutional nets
2015
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images
2017
Algorithms at Work: The New Contested Terrain of Control
2019 Standout
Deep Learning and Its Applications in Biomedicine
2018
Deep convolutional networks for pancreas segmentation in CT imaging
2015
Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI
2015
Deep Learning in Medical Imaging: General Overview
2017
Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning
2015
A Comprehensive Survey on Transfer Learning
2020 Standout
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
2018 Standout
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
2018
Machine Learning in Medicine
2019 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks
2015
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
2018 Standout
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
An Automatic Learning-Based Framework for Robust Nucleus Segmentation
2015
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
An analysis of robust cost functions for CNN in computer-aided diagnosis
2016
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
2023 Standout
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound
2017
Deep Learning Applications in Medical Image Analysis
2017
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
2016
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images
2019
Deep learning with non-medical training used for chest pathology identification
2015
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
Advancing Biosensors with Machine Learning
2020
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
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing
2016
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning
2019
Sub-cortical brain structure segmentation using F-CNN'S
2016
Deep Learning in Medical Image Analysis
2017 Standout
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
2016
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
2014
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
2016
Deep neural networks for anatomical brain segmentation
2015
Works of Kersten Petersen being referenced
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
2013
Isolation of linoleic and α‐linolenic acids as COX‐1 and ‐2 inhibitors in rose hip
2008
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
2016