Standout Papers
Citation Impact
Citing Papers
Predicting cancer outcomes from histology and genomics using convolutional networks
2018
Suffix Bidirectional Long Short-Term Memory.
2018
Generative versus discriminative training of RBMs for classification of fMRI images
2008 StandoutNobel
GAN-based synthetic brain MR image generation
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
Supervised classification of human microbiota
2010
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
2008
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
A survey on deep learning in medical image analysis
2017 Standout
The Impact of the Gut Microbiota on Human Health: An Integrative View
2012 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Gut metagenome in European women with normal, impaired and diabetic glucose control
2013 StandoutNature
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
Microbiota Modulate Behavioral and Physiological Abnormalities Associated with Neurodevelopmental Disorders
2013 Standout
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 Standout
Representation Learning: A Review and New Perspectives
2013 Standout
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
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
3D deeply supervised network for automated segmentation of volumetric medical images
2017
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
Multi-objective modelling and decision support using a Bayesian network approximation to a non-point source pollution model
2005
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Soft computing approaches for image segmentation: a survey
2018
Applications of Deep Learning and Reinforcement Learning to Biological Data
2018
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
Ensemble of keyword extraction methods and classifiers in text classification
2016 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Sentiment analysis: Bayesian Ensemble Learning
2014
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
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Concept whitening for interpretable image recognition
2020
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
Bayesian network method for decision-making about the social sustainability of infrastructure projects
2017 Standout
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
2023 Standout
Comparing Classification Methods for Longitudinal fMRI Studies
2010 StandoutNobel
Deep Learning Applications in Medical Image Analysis
2017
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Supervised Topic Models
2010 Standout
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images
2019
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
PatchMatch
2009 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Probabilistic topic models
2012 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
A Model of Text for Experimentation in the Social Sciences
2016 Standout
Deep Learning in Medical Image Analysis
2017 Standout
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Caenorhabditis elegans responses to bacteria from its natural habitats
2016 StandoutNobel
Works of Chris Pal being referenced
Twin Networks: Using the Future as a Regularizer.
2017
Multi-conditional learning: generative/discriminative training for clustering and classification
2006
On orthogonality and learning recurrent networks with long term dependencies
2017
Brain tumor segmentation with Deep Neural Networks
2016 Standout
Learning normalized inputs for iterative estimation in medical image segmentation
2017
Panoramic video textures
2005
Integrating parametric uncertainty and modeling results into an advisory system for watershed management
2001