Standout Papers
Citation Impact
Citing Papers
Predicting cancer outcomes from histology and genomics using convolutional networks
2018
GAN-based synthetic brain MR image generation
2018
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
Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
2018
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
2017
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Convolutional neural networks: an overview and application in radiology
2018 Standout
Virus Particle Detection by Convolutional Neural Network in Transmission Electron Microscopy Images
2018
Big data and machine learning algorithms for health-care delivery
2019 Standout
DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks
2018
Integrating uncertainty in deep neural networks for MRI based stroke analysis
2020
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
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
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
2017 Standout
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
2017 Standout
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 Standout
Learning normalized inputs for iterative estimation in medical image segmentation
2017
Artificial Intelligence in Cardiology
2018 Standout
Digital pathology and artificial intelligence
2019 Standout
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
2017 Standout
Improving Arterial Spin Labeling by Using Deep Learning
2017
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
2019
Artificial intelligence in healthcare
2018 Standout
3D deeply supervised network for automated segmentation of volumetric medical images
2017
Brain tumor classification using deep CNN features via transfer learning
2019 Standout
Deep feature learning for automatic tissue classification of coronary artery using optical coherence tomography
2017
A review on genetic algorithm: past, present, and future
2020 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2018
Deep Learning and Its Applications in Biomedicine
2018
Soft computing approaches for image segmentation: a survey
2018
Deep Learning for Health Informatics
2016 Standout
Applications of Deep Learning and Reinforcement Learning to Biological Data
2018
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
2019
Convolutional neural network: a review of models, methodologies and applications to object detection
2019
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
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
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
2020 Standout
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 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
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
2023 Standout
Deep Learning Applications in Medical Image Analysis
2017
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images
2019
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
Survey on deep learning with class imbalance
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Weakly Supervised Biomedical Image Segmentation by Reiterative Learning
2018
Deep Learning in Medical Image Analysis
2017 Standout
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
2016
MRI based medical image analysis: Survey on brain tumor grade classification
2017
Works of Axel Davy being referenced
Brain tumor segmentation with Deep Neural Networks
2016 Standout