The proceedings contain 8 papers. The topics discussed include: automated continual learning of defect identification in coherent diffraction imaging;a case study on coupling OpenFOAM with different machinelearning f...
ISBN:
(纸本)9781665462075
The proceedings contain 8 papers. The topics discussed include: automated continual learning of defect identification in coherent diffraction imaging;a case study on coupling OpenFOAM with different machinelearning frameworks;PhySRNet: physics informed super-resolution network for application in computational solid mechanics;determining HEDP foams' quality with multi-view deep learning classification;pattern-based autotuning of OpenMP loops using graph neural networks;ensuring ai for science is science: making randomness portable;practical federated learning infrastructure for privacy-preserving scientific computing;and scalable integration of computational physics simulations with machinelearning.
The proceedings contain 10 papers. The topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive cus...
The proceedings contain 10 papers. The topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive customized convolutional neural network;machinelearning-based rainfall prediction for various regions;methodology for the registration of images and their inclusion in medica image management systems, based on the DICOM protocol;mobile application success prediction using machinelearning;a secure mobile application for speech to text conversion using artificial intelligence techniques;a comparative study of heart disease prediction using machinelearning;method for teaching medical imaging diagnosis, applying virtual reality techniques;heart disease prediction using machinelearning method – a review article;and web system for the management of clinical laboratory test, applied to health facilities in rural areas.
The proceedings contain 15 papers. The special focus in this conference is on machinelearning for Medical Reconstruction. The topics include: PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reco...
ISBN:
(纸本)9783031172465
The proceedings contain 15 papers. The special focus in this conference is on machinelearning for Medical Reconstruction. The topics include: PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction;learning While Acquisition: Towards Active learning Framework for Beamforming in Ultrasound Imaging;DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction;MTD-GAN: Multi-task Discriminator Based Generative Adversarial Networks for Low-Dose CT Denoising;Uncertainty-Informed Bayesian PET Image Reconstruction Using a Deep Image Prior;NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-Based MRI Reconstruction from Undersampled Data;Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations;High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors;Metal Artifact Correction MRI Using Multi-contrast Deep Neural Networks for Diagnosis of Degenerative Spinal Diseases;Segmentation-Aware MRI Reconstruction;MRI Reconstruction with Conditional Adversarial Transformers;A Noise-Level-Aware Framework for PET Image Denoising;DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction.
The proceedings contain 13 papers. The special focus in this conference is on Uncertainty for Safe Utilization of machinelearning in Medical Imaging. The topics include: Generalized Probabilistic U-Net for Medic...
ISBN:
(纸本)9783031167485
The proceedings contain 13 papers. The special focus in this conference is on Uncertainty for Safe Utilization of machinelearning in Medical Imaging. The topics include: Generalized Probabilistic U-Net for Medical Image Segementation;Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet;information Gain Sampling for Active learning in Medical Image Classification;quantification of Predictive Uncertainty via Inference-Time Sampling;uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity;on the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation;what Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation?;Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation;improving Error Detection in Deep learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty;stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty;calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets.
The proceedings contain 17 papers. The special focus in this conference is on machinelearning in Clinical Neuroimaging. The topics include: Lifestyle Factors That Promote Brain Structural Resilience in Individuals wi...
ISBN:
(纸本)9783031178986
The proceedings contain 17 papers. The special focus in this conference is on machinelearning in Clinical Neuroimaging. The topics include: Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia;learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging;augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction;automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury;autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation learning?;fMRI-S4: learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models;data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction;A Study of Demographic Bias in CNN-Based Brain MR Segmentation;Volume is All You Need: Improving Multi-task Multiple Instance learning for WMH Segmentation and Severity Estimation;self-supervised Test-Time Adaptation for Medical Image Segmentation;accurate Hippocampus Segmentation Based on Self-supervised learning with Fewer Labeled Data;Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network;weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer;boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma;Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency.
The proceedings contain 46 papers. The special focus in this conference is on Advanced computing, machinelearning, Robotics and Internet Technologies. The topics include: Galactic Simulation: Visual Perception of Ani...
ISBN:
(纸本)9783031472206
The proceedings contain 46 papers. The special focus in this conference is on Advanced computing, machinelearning, Robotics and Internet Technologies. The topics include: Galactic Simulation: Visual Perception of Anisotropic Dark Matter;Protocol Anomaly Detection in IIoT;Agricultural Informatics & ICT: The Foundation, Issues, Challenges and Possible Solutions—A Policy Work;a Guava Leaf Disease Identification Application;text to Image Generation Using Attentional Generative Adversarial Network;attention-CoviNet: A Deep-learning Approach to Classify Covid-19 Using Chest X-Rays;a Deep learning Framework for Violence Detection in Videos Using Transfer learning;multi-focus Image Fusion Methods: A Review;cache Memory and On-Chip Cache Architecture: A Survey;authenticating Smartphone Users Continuously Even if the Smartphone is in the User’s Pocket;Comparative Analysis of machinelearning Algorithms for COVID-19 Detection and Prediction;machinelearning Classifiers Explanations with Prototype Counterfactual;a Systematic Study of Super-Resolution Generative Adversarial Networks: Review;Stance Detection in Manipuri Editorial Article Using CRF;deep learning Based Software Vulnerability Detection in Code Snippets and Tag Questions Using Convolutional Neural Networks;a Comprehensive Study of the Performances of Imbalanced Data learning Methods with Different Optimization Techniques;Smart Parking System Using Arduino and IR Sensor;quMaDe: Quick Foreground Mask and Monocular Depth Data Generation;fine-Grained Air Quality with Deep Air learning;enhancing Melanoma Skin Cancer Detection with machinelearning and Image Processing Techniques;Image Processing Technique and SVM for Epizootic Ulcerative Syndrome Fish Image Classification.
The proceedings contain 48 papers. The special focus in this conference is on machinelearning in Medical Imaging. The topics include: Patch-Level Instance-Group Discrimination with Pretext-Invariant learning for...
ISBN:
(纸本)9783031210136
The proceedings contain 48 papers. The special focus in this conference is on machinelearning in Medical Imaging. The topics include: Patch-Level Instance-Group Discrimination with Pretext-Invariant learning for Colitis Scoring;AutoMO-Mixer: An Automated Multi-objective Mixer Model for Balanced, Safe and Robust Prediction in Medicine;memory Transformers for Full Context and High-Resolution 3D Medical Segmentation;whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification;cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation;u-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?;UNet-eVAE: Iterative Refinement Using VAE Embodied learning for Endoscopic Image Segmentation;dynamic Linear Transformer for 3D Biomedical Image Segmentation;automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network;predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep learning;a Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure;Fast Image-Level MRI Harmonization via Spectrum Analysis;CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification;harmonization of Multi-site Cortical Data Across the Human Lifespan;head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph;coarse Retinal Lesion Annotations Refinement via Prototypical learning;nuclear Segmentation and Classification: On Color and Compression Generalization;Understanding Clinical Progression of Late-Life Depression to Alzheimer’s Disease Over 5 Years with Structural MRI;ClinicalRadioBERT: Knowledge-Infused Few Shot learning for Clinical Notes Named Entity Recognition;graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition;Region-Guided Channel-
The proceedings contain 15 papers presendted at a virtual meeting. The special focus in this conference is on Software Architecture Erosion and Architectural Consistency. The topics include: Interactive Elicitation of...
ISBN:
(纸本)9783031151156
The proceedings contain 15 papers presendted at a virtual meeting. The special focus in this conference is on Software Architecture Erosion and Architectural Consistency. The topics include: Interactive Elicitation of Resilience Scenarios Based on Hazard Analysis Techniques;Towards an Extensible Approach for Generative Microservice Development and Deployment Using LEMMA;applying Knowledge-Driven Architecture Composition with Gabble;architectural Optimization for Confidentiality Under Structural Uncertainty;foundations and Research Agenda for Simulation of Smart Ecosystems Architectures;Blended Graphical and Textual Modelling of UML-RT State-machines: An Industrial Experience;toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective;mapping Source Code to Modular Architectures Using Keywords;hierarchical Code-to-Architecture Mapping;Building the MSR Tool Kaiaulu: Design Principles and Experiences;self-adaptive machinelearning Systems: Research Challenges and Opportunities;behavioral Maps: Identifying Architectural Smells in Self-adaptive Systems at Runtime;an Architectural Approach for Enabling and Developing Cooperative Behaviour in Diverse Autonomous Robots.
The proceedings contain 9 papers. The topics discussed include: semantic-aware lossless data compression for deep learning recommendation model (DLRM);Colmena: scalable machine-learning-based steering of ensemble simu...
ISBN:
(纸本)9781665411240
The proceedings contain 9 papers. The topics discussed include: semantic-aware lossless data compression for deep learning recommendation model (DLRM);Colmena: scalable machine-learning-based steering of ensemble simulations for high performance computing;production deployment of machine-learned rotorcraft surrogate models on HPC;high-performance deep learning toolbox for genome-scale prediction of protein structure and function;HPCFAIR: enabling FAIR AI for HPC applications;HPC ontology: towards a unified ontology for managing training datasets and AI models for high-performance computing;HYPPO: a surrogate-based multi-level parallelism tool for hyperparameter optimization;and is disaggregation possible for hpc cognitive simulation?.
The proceedings contain 10 papers. The topics discussed include: human skin disease detection using MLXG model;performance measurement of prostate gland segmentation approaches in transrectal ultrasound and magnetic r...
The proceedings contain 10 papers. The topics discussed include: human skin disease detection using MLXG model;performance measurement of prostate gland segmentation approaches in transrectal ultrasound and magnetic resonance images;chest x-ray based lung disease detection using convolutional neural network;a classification approach to fetal cardiotocography dataset using R;brain anomalies of MRI segmentation;breast cancer prediction by machinelearning algorithms - a comparative study of Naive Bayes, KNN and J48 in Weka environment;various intelligent approaches for classification using CT-scan images: a systematic literature review;emotional intelligence and its relationship with academic stress, in high school students, an approach to the computational model;methodological study on civic attitudes of Spanish-speaking students: middle school level;and the application of artificial intelligence in online teaching tools, appertained during the pandemic period for effective and uninterrupted teaching.
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