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AI Research
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Remote Sensing, Vol. 14, Pages 1166: Generating Terrain Data for Geomorphological Analysis by Integrating Topographical Features and Conditional Generative Adversarial Networks
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AI Virtual Reality Related Evidence Matrix
Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models Navigating the frontier of drug-like chemical space with cutting-edge generative AI models Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges Unpaired fundus image enhancement based on constrained generative adversarial networks Unpaired fundus image enhancement based on constrained generative adversarial networks Potential Role of Generative Adversarial Networks in Enhancing Brain Tumors Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends 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 Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R-CNN Remote sensing mental health: A systematic review of factors essential to clinical translation from validation research Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App Text-to-Microstructure Generation Using Generative Deep Learning Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET Dependency-aware deep generative models for multitasking analysis of spatial omics data 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory ChatGPT and Medicine: Together We Embrace the AI Renaissance A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images Utilizing radiomics and dosiomics with AI for precision prediction of radiation dermatitis in breast cancer patients Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction Realistic morphology-preserving generative modelling of the brain MiRAGE: mining relationships for advanced generative evaluation in drug repositioning Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations Deep learning for structure based drug discovery Deep learning for structure based drug discovery Deep learning for structure based drug discovery Applying Generative Artificial Intelligence to cognitive models of decision making Applying Generative Artificial Intelligence to cognitive models of decision making E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing Integration of passive sensing technology to enhance delivery of psychological interventions for mothers with depression: the StandStrong study Reliability of dynamic causal modelling of resting-state magnetoencephalography Reliability of dynamic causal modelling of resting-state magnetoencephalography Reliability of dynamic causal modelling of resting-state magnetoencephalography Reliability of dynamic causal modelling of resting-state magnetoencephalography Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study The Sixth Sense: Self-nucleic acid sensing in the brain Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective A network correspondence toolbox for quantitative evaluation of novel neuroimaging results RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization Variational autoencoders for generative modeling of drug dosing determinants in renal, hepatic, metabolic, and cardiac disease states Variational autoencoders for generative modeling of drug dosing determinants in renal, hepatic, metabolic, and cardiac disease states The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy A shifting role of thalamocortical connectivity in the emergence of cortical functional organization A shifting role of thalamocortical connectivity in the emergence of cortical functional organization Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation Advances in the integration of microalgal communities for biomonitoring of metal pollution in aquatic ecosystems of sub-Saharan Africa Inference of gene regulatory networks based on directed graph convolutional networks A study of the effect of half-day climatotherapy on changes in salivary cortisol levels Reliability of dynamic causal modelling of resting-state magnetoencephalography Bioinspired Colorimetric Double Inverse Opal Photonic Crystal Indicators for Ethanol Concentration Sensing in Fermentation Engineering From bedside to bench: New insights in epilepsy-associated tumors based on recent classification updates and animal models on brain tumor networks Adult-born granule cells modulate CA2 network activity during retrieval of developmental memories of the mother Expert assessment of ChatGPT's ability to generate illness scripts: an evaluative study A Review of Ophthalmology Education in the Era of Generative Artificial Intelligence Neurobiology-based Cognitive Biotypes Using Multi-scale Intrinsic Connectivity Networks in Psychotic Disorders Network analysis of trait aggression among community youths and juvenile offenders Generating Neuroimmune Assembloids Using Human Induced Pluripotent Stem Cell (iPSC)-Derived Cortical Organoids and Microglia
Evidence Blueprint
Remote Sensing, Vol. 14, Pages 1166: Generating Terrain Data for Geomorphological Analysis by Integrating Topographical Features and Conditional Generative Adversarial Networks
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Remote Sensing, Vol. 14, Pages 1166: Generating Terrain Data for Geomorphological Analysis by Integrating Topographical Features and Conditional Generative Adversarial Networks
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models Navigating the frontier of drug-like chemical space with cutting-edge generative AI models Uncertainty-driven mixture convolution and transformer network for remote sensing image super-resolution Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning Unpaired fundus image enhancement based on constrained generative adversarial networks Unpaired fundus image enhancement based on constrained generative adversarial networks Potential Role of Generative Adversarial Networks in Enhancing Brain Tumors Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends 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 US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation Adversarial AI applied to cross-user inter-domain and intra-domain adaptation in human activity recognition using wireless signals Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain Uncover This Tech Term: Generative Adversarial Networks Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension 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 Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R-CNN MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks Advancing diagnostic performance and clinical applicability of deep learning-driven generative adversarial networks for Alzheimer's disease Remote sensing mental health: A systematic review of factors essential to clinical translation from validation research Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI An Extensive Review on Lung Cancer Therapeutics Using Machine Learning Techniques: State-of-the-art and Perspectives Statistical inference for dependence networks in topological data analysis Artificial Intelligence in Hand Surgery - How Generative AI is Transforming the Hand Surgery Landscape Metabolic sensing in AgRP regulates sucrose preference and dopamine release in the nucleus accumbens Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification Detection of individual brain tau deposition in Alzheimer's disease based on latent feature-enhanced generative adversarial network Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis Text-to-Microstructure Generation Using Generative Deep Learning Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET Impact of COVID-19 on mental health in the US with generative AI Clinicians, practices, and patients all have a part to play in dealing with risks of remote GP consultations Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations Getting started with using generative AI with your students: your first steps into ChatGPT and other tools ANN: adversarial news net for robust fake news classification Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study Dependency-aware deep generative models for multitasking analysis of spatial omics data 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia Multi-loss Disentangled Generative-Discriminative Learning for Multimodal Representation in Schizophrenia A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory Integrating direct electrical brain stimulation with the human connectome ChatGPT and Medicine: Together We Embrace the AI Renaissance A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images Topological state-space estimation of functional human brain networks Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia Remote collaborations deliver fewer scientific breakthroughs, says Oxford co-led research Utilizing radiomics and dosiomics with AI for precision prediction of radiation dermatitis in breast cancer patients Data augmentation for generating synthetic electrogastrogram time series COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal Multimodal Mental Health Digital Biomarker Analysis from Remote Interviews using Facial, Vocal, Linguistic, and Cardiovascular Patterns Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System Monitoring Disease Severity of Mild Cognitive Impairment from Single-Channel EEG Data Using Regression Analysis BEYOND TRADITIONAL TOOLS: EXPLORING CONVOLUTIONAL NEURAL NETWORKS AS INNOVATIVE PROGNOSTIC MODELS IN PANCREATIC DUCTAL ADENOCARCINOMA Prevalence, distribution, and severity of cerebral amyloid angiopathy differ between Lewy body diseases and Alzheimer's disease