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Mixed-type data generation method based on generative adversarial networks
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Advancing diagnostic performance and clinical applicability of deep learning-driven generative adversarial networks for Alzheimer's disease
- Text-to-Microstructure Generation Using Generative Deep Learning
- Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- Uncover This Tech Term: Generative Adversarial Networks
- US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation
- Getting started with using generative AI with your students: your first steps into ChatGPT and other tools
- Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis
- An Extensive Review on Lung Cancer Therapeutics Using Machine Learning Techniques: State-of-the-art and Perspectives
- Detection of individual brain tau deposition in Alzheimer's disease based on latent feature-enhanced generative adversarial network
- ANN: adversarial news net for robust fake news classification
- Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R-CNN
- Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain
- Psychiatrists’ experiences and opinions of generative artificial intelligence in mental healthcare: An online mixed methods survey
- CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment
- Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations
- Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations
- COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
- A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images
- A cycle generative adversarial network for generating synthetic contrast-enhanced computed tomographic images from non-contrast images in the internal jugular lymph node-bearing area
- Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks
- Community detection in directed weighted networks using Voronoi partitioning
- Oxford researchers named among BBC New Generation Thinkers
- Oxford researchers named among BBC New Generation Thinkers
- Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model
- Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model
- Generative AI and generative education
- AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data
- DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding
- Generative artificial intelligence in surgery
- A short- and medium-term forecasting model for roof PV systems with data pre-processing
- Community detection in the human connectome: Method types, differences and their impact on inference
- Visualizing the Influence of Social Networks on Recovery: A Mixed-Methods Social Identity Mapping Study with Recovering Adolescents
- Contrastive Graph Pooling for Explainable Classification of Brain Networks
- Dependency-aware deep generative models for multitasking analysis of spatial omics data
- Topological state-space estimation of functional human brain networks
- Adversarial AI applied to cross-user inter-domain and intra-domain adaptation in human activity recognition using wireless signals
- Predictive and interpretable: using artificial neural networks and classic cognitive models to understand human learning and decision making
- A survey of recent methods for addressing AI fairness and bias in biomedicine
- A Multi-modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms with Various Task Difficulties
- U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis
- Behavioral health and generative AI: a perspective on future of therapies and patient care
- Behavioral health and generative AI: a perspective on future of therapies and patient care
- Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance
- Public Seminar Series: Generative AI and Education: Challenges and Opportunities
- Study of Laser-Induced Multi-Exciton Generation and Dynamics by Multi-Photon Absorption in CdSe Quantum Dots
- Triple Generative Self-Supervised Learning Method for Molecular Property Prediction
- Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology
- Generative artificial intelligence and non-pharmacological bias: an experimental study on cancer patient sexual health communications
- Generalizability of Deep Neural Networks for Vertical Cup-to-Disc Ratio Estimation in Ultra-Widefield and Smartphone-Based Fundus Images
- Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective
- OII Pride Lecture "AI in Media: Impact on LGBTQ+ Lives"
- Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks
- BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis
- Single-sequence protein structure prediction by integrating protein language models
- Medical Sciences Education Forum: AI in practice
- Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Breakthrough promises secure quantum computing at home
- Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN
- A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
- Investigating quantitative approach for microalgal biomass using deep convolutional neural networks and image recognition
Evidence Blueprint
Mixed-type data generation method based on generative adversarial networks
☊ AI-Driven Related Evidence Nodes
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More Evidence
Mixed-type data generation method based on generative adversarial networks
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Advancing diagnostic performance and clinical applicability of deep learning-driven generative adversarial networks for Alzheimer's disease
- Text-to-Microstructure Generation Using Generative Deep Learning
- Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- Deep learning tools to accelerate antibiotic discovery
- Uncover This Tech Term: Generative Adversarial Networks
- US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation
- Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks
- Getting started with using generative AI with your students: your first steps into ChatGPT and other tools
- Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis
- An Extensive Review on Lung Cancer Therapeutics Using Machine Learning Techniques: State-of-the-art and Perspectives
- Detection of individual brain tau deposition in Alzheimer's disease based on latent feature-enhanced generative adversarial network
- ANN: adversarial news net for robust fake news classification
- Generative AI could transform work; boosting productivity and democratising innovation
- Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R-CNN
- Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain
- Psychiatrists’ experiences and opinions of generative artificial intelligence in mental healthcare: An online mixed methods survey
- CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment
- Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations
- Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations
- COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
- A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images
- A cycle generative adversarial network for generating synthetic contrast-enhanced computed tomographic images from non-contrast images in the internal jugular lymph node-bearing area
- Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks
- Community detection in directed weighted networks using Voronoi partitioning
- Oxford researchers named among BBC New Generation Thinkers
- Oxford researchers named among BBC New Generation Thinkers
- Multi-loss Disentangled Generative-Discriminative Learning for Multimodal Representation in Schizophrenia
- Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis
- Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model
- Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model
- Artificial intelligence and increasing misinformation
- Generative AI and generative education
- AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data
- Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain
- DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding
- Generative artificial intelligence in surgery
- A short- and medium-term forecasting model for roof PV systems with data pre-processing
- Robust estimation of cortical similarity networks from brain MRI
- Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia
- Community detection in the human connectome: Method types, differences and their impact on inference
- Visualizing the Influence of Social Networks on Recovery: A Mixed-Methods Social Identity Mapping Study with Recovering Adolescents
- A review of machine learning applications for the proton MR spectroscopy workflow
- Topology switching during window thresholding fMRI-based functional networks of patients with major depressive disorder: Consensus network approach
- Contrastive Graph Pooling for Explainable Classification of Brain Networks
- The perils and promises of generative artificial intelligence in neurointerventional surgery
- Dependency-aware deep generative models for multitasking analysis of spatial omics data
- Topological state-space estimation of functional human brain networks
- Adversarial AI applied to cross-user inter-domain and intra-domain adaptation in human activity recognition using wireless signals
- Migraine prodromes and migraine triggers
- Predictive and interpretable: using artificial neural networks and classic cognitive models to understand human learning and decision making
- A survey of recent methods for addressing AI fairness and bias in biomedicine
- A Multi-modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms with Various Task Difficulties
- Impact of COVID-19 on mental health in the US with generative AI
- U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis
- Behavioral health and generative AI: a perspective on future of therapies and patient care
- Behavioral health and generative AI: a perspective on future of therapies and patient care
- Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance
- Public Seminar Series: Generative AI and Education: Challenges and Opportunities
- Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals
- Study of Laser-Induced Multi-Exciton Generation and Dynamics by Multi-Photon Absorption in CdSe Quantum Dots
- Triple Generative Self-Supervised Learning Method for Molecular Property Prediction
- Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology