Evidence
Document this CPD
Estimated reading time: 0 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Classification of distribution power grid structures using inception v3 deep neural network
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Determinantal point process attention over grid cell code supports out of distribution generalization
- ESG guidance and artificial intelligence support for power systems analytics in the energy industry
- Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN)
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- 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
- Representations and generalization in artificial and brain neural networks
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network
- Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study
- A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images
- Prediction of dose distributions for non-small cell lung cancer patients using MHA-ResUNet
- An efficient method for disaster tweets classification using gradient-based optimized convolutional neural networks with BERT embeddings
- Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
- Greening India's Urea: Opportunities for Grid-Connected Ammonia for Costs and Emissions Savings
- Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans
- Distance and grid-like codes support the navigation of abstract social space in the human brain
- Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models
- Super-resolution of diffusion-weighted images using space-customized learning model
- Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection
- Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory
- An ingenious deep learning approach for pressure injury depth evaluation with limited data
- Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review
- Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
- Research progress of deep learning applications in mass spectrometry imaging data analysis
- Directly training temporal Spiking Neural Network with sparse surrogate gradient
- Global and multi-partition local network analysis of scalp EEG in West syndrome before and after treatment
- Seasonal solar irradiance forecasting using artificial intelligence techniques with uncertainty analysis
- Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
- Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
- Multi-modal deep learning from imaging genomic data for schizophrenia classification
- A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity
- Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective
- Artificial intelligence in fusion protein three-dimensional structure prediction: Review and perspective
- Digital twins for understanding mechanisms of learning disabilities: Personalized deep neural networks reveal impact of neuronal hyperexcitability
- Digital twins for understanding mechanisms of learning disabilities: Personalized deep neural networks reveal impact of neuronal hyperexcitability
- Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
- Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip
- Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip
- DeforT: Deformable transformer for visual tracking
- Layer-selective deep representation to improve esophageal cancer classification
- Utilization of Artificial Intelligence in Minimally Invasive Right Adrenalectomy: Recognition of Anatomical Landmarks with Deep Learning
- Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography
- A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory
- Deep Photonic Reservoir Computer for Speech Recognition
- Establishing connectivity through microdissections of midbrain stimulation-related neural circuits
- Establishing connectivity through microdissections of midbrain stimulation-related neural circuits
- Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks
- Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks
- Explainability of three-dimensional convolutional neural networks for functional magnetic resonance imaging of Alzheimer's disease classification based on gradient-weighted class activation mapping
- Sign language recognition based on dual-path background erasure convolutional neural network
- Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network
- Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis
- Interaction between Functional Connectivity and Neural Excitability in Autism: A Novel Framework for Computational Modeling and Application to Biological Data
- Learning Interpretable Brain Functional Connectivity Via Self-Supervised Triplet Network With Depth-Wise Attention
- A novel plant type, leaf disease and severity identification framework using CNN and transformer with multi-label method
- Dynamics of simplicial SEIRS epidemic model: global asymptotic stability and neural Lyapunov functions
- Monthly climate prediction using deep convolutional neural network and long short-term memory
- Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features
- Dark triad traits, study and power motives among medical students-A cross-sectional study at a German medical faculty
- RiboDiffusion: tertiary structure-based RNA inverse folding with generative diffusion models
- ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique
- Detection of sweet corn seed viability based on hyperspectral imaging combined with firefly algorithm optimized deep learning
Evidence Blueprint
Classification of distribution power grid structures using inception v3 deep neural network
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Classification of distribution power grid structures using inception v3 deep neural network
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Determinantal point process attention over grid cell code supports out of distribution generalization
- ESG guidance and artificial intelligence support for power systems analytics in the energy industry
- Mood Disorder Severity and Subtype Classification Using Multimodal Deep Neural Network Models
- Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN)
- Protein Engineering with Lightweight Graph Denoising Neural Networks
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Grid Cells in Cognition: Mechanisms and Function
- The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks
- Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning
- 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
- A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder
- Multi feature fusion network for schizophrenia classification and abnormal brain network recognition
- A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET
- Dense Sample Deep Learning
- Dense Sample Deep Learning
- A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System
- NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network
- Representations and generalization in artificial and brain neural networks
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network
- Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study
- A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images
- Prediction of dose distributions for non-small cell lung cancer patients using MHA-ResUNet
- An efficient method for disaster tweets classification using gradient-based optimized convolutional neural networks with BERT embeddings
- Multimodal anatomical mapping of subcortical regions in Marmoset monkeys using high-resolution MRI and matched histology with multiple stains
- Spike Attention Coding for Spiking Neural Networks
- Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
- Gaze Patterns in Children with Autism Spectrum Disorder to Emotional Faces: Scanpath and Similarity
- COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
- Greening India's Urea: Opportunities for Grid-Connected Ammonia for Costs and Emissions Savings
- Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans
- Iterative reconstruction for limited-angle CT using implicit neural representation
- Distance and grid-like codes support the navigation of abstract social space in the human brain
- Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models
- Super-resolution of diffusion-weighted images using space-customized learning model
- A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task
- Hierarchical network structure as the source of hierarchical dynamics (power-law frequency spectra) in living and non-living systems: how state-trait continua (body plans, personalities) emerge from first principles in biophysics
- Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection
- Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory
- Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism
- An ingenious deep learning approach for pressure injury depth evaluation with limited data
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
- Based on neural network cascade abnormal texture information dissemination of classification of patients with schizophrenia and depression
- Enhancing deep learning classification performance of tongue lesions in imbalanced data: mosaic-based soft labeling with curriculum learning
- Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review
- Invited Session V: The eye as a window to systemic and neurodegenerative health: Early prediction of multiple sclerosis using scanning laser ophthalmoscopy (SLO) video sequence data with a Deep Learning (DL) based approach
- Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
- Boxing behavior recognition based on artificial intelligence convolutional neural network with sports psychology assistant
- Using dynamic spatio-temporal graph pooling network for identifying autism spectrum disorders in spontaneous functional infrared spectral sequence signals
- Research progress of deep learning applications in mass spectrometry imaging data analysis
- Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
- Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders
- Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks
- Directly training temporal Spiking Neural Network with sparse surrogate gradient
- Global and multi-partition local network analysis of scalp EEG in West syndrome before and after treatment
- Interpretable artificial intelligence for classification of alveolar bone defect in patients with cleft lip and palate
- Divergent suicidal symptomatic activations converge on somato-cognitive action network in depression
- The significance of structural rich club hubs for the processing of hierarchical stimuli
- Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS
- Seasonal solar irradiance forecasting using artificial intelligence techniques with uncertainty analysis
- Deep learning applications in vascular dementia using neuroimaging
- An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study