The proceedings contain 68 papers. The special focus in this conference is on machinelearning in Medical Imaging. The topics include: Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest;A ...
ISBN:
(纸本)9783030598600
The proceedings contain 68 papers. The special focus in this conference is on machinelearning in Medical Imaging. The topics include: Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest;A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation;Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network;robust Multiple Sclerosis Lesion Inpainting with Edge Prior;segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation;GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes;anatomy-Aware Cardiac Motion Estimation;division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation;LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI;Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation;error Attention Interactive Segmentation of Medical Image Through Matting and Fusion;boundary-Aware Network for Kidney Tumor Segmentation;o-Net: An Overall Convolutional Network for Segmentation Tasks;label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints;eczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis;deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation;Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer;exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks;detection of Ischemic Infarct Core in Non-contrast Computed Tomography;bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers;extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients;A Novel fMRI Representation learning Framework with GAN;structural Connectivity Enriched Functional Brain Network U
The proceedings contain 11 papers. The topics discussed include: Oruga: an avatar of representational systems theory;cognitive analysis for representation change;an overview of the ABC repair system for datalog-like t...
The proceedings contain 11 papers. The topics discussed include: Oruga: an avatar of representational systems theory;cognitive analysis for representation change;an overview of the ABC repair system for datalog-like theories;repairing numerical equations in analogically blended theories using reformation;experiments in learning Dyck-1 languages with recurrent neural networks;integrating paraphrasing into the frank QA system;the handshake problem for human-like coordination systems;extending an embodied cognitive architecture with spatial representation and reasoning;prediction: an algorithmic principle meeting neuroscience and machinelearning halfway;explanations from deep reinforcement learning using episodic memories;the computational gauntlet of human-like learning 59Pat Langley;and representing and processing emotions in a cognitive architecture.
The proceedings contain 34 papers. The special focus in this conference is on computing, Communication and learning. The topics include: Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Lear...
ISBN:
(纸本)9783031790409
The proceedings contain 34 papers. The special focus in this conference is on computing, Communication and learning. The topics include: Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep learning with Mobile App Technology for Plant Leaf Disease Detection;air Quality Prediction Using Ensemble learning;real-Time Highway Accident Detection and Response with Deep learning and Edge Caching;Detection of Yoga Poses Using CNN and LSTM Models;Enhancing Rhetorical Role Identification in Legal Documents Using Large Language Models and IN_place Data Augmentation;persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization;design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages;analysis of Tracking Algorithms for Multi-person Tracking;personalized Human Activity Recognition Using Smartphone Technology;a Comprehensive Comparative Study of Breast Cancer Detection Using machinelearning Techniques to Improve Diagnosis;performance Improvement of machinelearning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction;Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features;deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images;pneumonia Detection from X-Ray Images Using Deep Transfer learning;crop Identification by Using machinelearning Classification Algorithm;biotic Stress Classification of Pear Leaves Diseases Using Stacking Ensemble Approaches;unveiling Emotions from Audio: A Multi-model Exploration Leveraging Diverse Datasets;a Contrastive Meta-learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual learning;audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics;video Content Moderation in Instagram;an E
The proceedings contain 25 papers. The special focus in this conference is on computing, Communication, and learning. The topics include: Yolo and RetinaNet Ensemble Transfer learning Detector: Application in Pavement...
ISBN:
(纸本)9783031569975
The proceedings contain 25 papers. The special focus in this conference is on computing, Communication, and learning. The topics include: Yolo and RetinaNet Ensemble Transfer learning Detector: Application in Pavement Distress;stock Market Prediction Performance Analysis by Using machinelearning Regressor Techniques;nearest Neighbor and Decision Tree Based Cloud Service QoS Classification;object Recognition Through Content Based Feature Extraction and Classification of Sounds in IoT Environment;detection of Malicious Activity on Credit Cards Using machinelearning;agent-Based Modeling for Optimum Location Selection: Enhancing Day-Ahead Market Analysis for Microgrid Integration;a Comparative Approach for Skin Cancer Detection Using Artificial Bee Colony;a Hybrid Approach to Enhance Software Quality by Sentiment Analysis of Developer;unsupervised Sentiment Analysis of Amazon Fine Food Reviews Using Fuzzy Logic;sentiment Analysis of Crypto Currency Trading Applications in India Using machinelearning;Graph Similarity Join (GSJ) Approach to Detect Near Duplicate Text Documents;three Factor Authentication Scheme for Telecare Medical Information System;an Effective Threshold Based Technique for Retinal Image Blood Vessel Segmentation on Fundus Image Using Average and Gaussian Filters;substantiation System Using Facial Recognition and Principal Component Analysis;impact of Stress on Faculties’ Attitudes: A Study of Higher Education Institutes;dynamic Cross-Layer Communication Design for Multi-objective Optimization in Wireless Sensor Networks;Implementation of Weighted Parallel Interference Cancellation Technique for Multi User Detection in UWA Communication;analysis and Comparison of Firefly Algorithm for Measuring Convergence Rate in Distributed Environment;A Comparative Study on Social Behavior of Tribes and Non Tribes in ITDA Paderu by Using Network Science;raster Big Data Processing Using Spark with GeoTrellis.
The proceedings contain 114 papers. The topics discussed include: actual moment driver lethargy experience based on driver's face picture with the SRS system;predicting secure and safe route for women using Google...
ISBN:
(纸本)9781728102115
The proceedings contain 114 papers. The topics discussed include: actual moment driver lethargy experience based on driver's face picture with the SRS system;predicting secure and safe route for women using Google maps;an IOT based mechanism for automatic classroom electricity saving;applications of ISM and TISM: model building techniques;a detailed study of azure platform its cognitive services;and an enhanced method for topic modeling using concept-latent.
The proceedings contain 10 papers. The special focus in this conference is on Interpretability of machine Intelligence in Medical Image computing. The topics include: Automated enriched medical concept generation for ...
ISBN:
(纸本)9783030338497
The proceedings contain 10 papers. The special focus in this conference is on Interpretability of machine Intelligence in Medical Image computing. The topics include: Automated enriched medical concept generation for chest X-ray images;UBS: A dimension-agnostic metric for concept vector interpretability applied to radiomics;generation of multimodal justification using visual word constraint model for explainable computer-aided diagnosis;Incorporating task-specific structural knowledge into CNNs for brain midline shift detection;guideline-based additive explanation for computer-aided diagnosis of lung nodules;deep neural network or dermatologist?;towards interpretability of segmentation networks by analyzing deepDreams;towards automatic diagnosis from multi-modal medical data;deep learning based multi-modal registration for retinal imaging.
The proceedings contain 24 papers. The special focus in this conference is on international Workshop on machinelearning and Medical Engineering for Cardiovasvular Healthcare, and the international Joint Workshops on ...
ISBN:
(纸本)9783030333263
The proceedings contain 24 papers. The special focus in this conference is on international Workshop on machinelearning and Medical Engineering for Cardiovasvular Healthcare, and the international Joint Workshops on computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, held in conjunction with internationalconference on Medical Image computing and Computer Assisted Intervention. The topics include: Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography;tracking of Intracavitary Instrument Markers in Coronary Angiography Images;abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model;A Multi-label learning Method to Detect Arrhythmia Based on 12-Lead ECGs;random 2.5D U-net for Fully 3D Segmentation;towards Quantifying Neurovascular Resilience;The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study;ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes;Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans;LabelECG: A Web-Based Tool for Distributed Electrocardiogram Annotation;deep learning to Improve Heart Disease Risk Prediction;Automatic Detection of ECG Abnormalities by Using an Ensemble of Deep Residual Networks with Attention;Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points;Arrhythmia Classification with Attention-Based Res-BiLSTM-Net;preface;Multi-label Classification of Abnormalities in 12-Lead ECG Using 1D CNN and LSTM;particle Swarm Optimization for Great Enhancement in Semi-supervised Retinal Vessel Segmentation with Generative Adversarial Networks;mlmech-miccai 2019 preface;an Approach to Predict Multiple Cardiac Diseases.
The proceedings contain 8 papers. The topics discussed include: scalable hyperparameter optimization with lazy Gaussian processes;understanding scalability and fine-grain parallelism of synchronous data parallel train...
ISBN:
(纸本)9781728159850
The proceedings contain 8 papers. The topics discussed include: scalable hyperparameter optimization with lazy Gaussian processes;understanding scalability and fine-grain parallelism of synchronous data parallel training;DisCo: physics-based unsupervised discovery of coherent structures in spatiotemporal systems;GradVis: visualization and second order analysis of optimization surfaces during the training of deep neural networks;metaoptimization on a distributed system for deep reinforcement learning;scheduling optimization of parallel linear algebra algorithms using supervised learning;parallel data-local training for optimizing Word2Vec embeddings for word and graph embeddings;and fine-grained exploitation of mixed precision for faster CNN training.
The proceedings contain 78 papers. The special focus in this conference is on international Workshop on machinelearning in Medical Imaging, held in conjunction with the internationalconference on Medical Image Compu...
ISBN:
(纸本)9783030326913
The proceedings contain 78 papers. The special focus in this conference is on international Workshop on machinelearning in Medical Imaging, held in conjunction with the internationalconference on Medical Image computing and Computer-Assisted Intervention. The topics include: GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images;deep Active Lesion Segmentation;infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression learning;a Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification;end-to-End Adversarial Shape learning for Abdomen Organ Deep Segmentation;privacy-Preserving Federated Brain Tumour Segmentation;residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images;semi-supervised Multi-task learning with Chest X-Ray Images;Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation;spatial Regularized Classification Network for Spinal Dislocation Diagnosis;pseudo-labeled Bootstrapping and Multi-stage Transfer learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus;Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images;end-to-End Boundary Aware Networks for Medical Image Segmentation;Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks;Morphological Simplification of Brain MR Images by Deep learning for Facilitating Deformable Registration;Joint Shape Representation and Classification for Detecting PDAC;FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans;ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks;weakly Supervised Segmentation by a Deep Geodesic Prior;correspondence-Steered Volumetric Descriptor learning Using Deep Functional Maps;globally-Aware Multiple Instance Classifier for Breast Ca
The proceedings contain 19 papers. The special focus in this conference is on international Workshop on Uncertainty for Safe Utilization of machinelearning in Medical Imaging, and the international Workshop on Clinic...
ISBN:
(纸本)9783030326883
The proceedings contain 19 papers. The special focus in this conference is on international Workshop on Uncertainty for Safe Utilization of machinelearning in Medical Imaging, and the international Workshop on Clinical Image-Based Procedures, held in conjunction with internationalconference on Medical Image computing and Computer Assisted Intervention. The topics include: Spatiotemporal Statistical Model of Anatomical Landmarks on a Human Embryonic Brain;Spaciousness Filters for Non-contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis;recovering Physiological Changes in Nasal Anatomy with Confidence Estimates;Synthesis of Medical Images Using GANs;DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation;multi-instance Deep learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging;data Augmentation from Sketch;An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis;A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation;three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes;probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty;propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep learning Inference;Reg R-CNN: Lesion Detection and Grading Under Noisy Labels;fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation;quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification;a Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data;out of Distribution Detection for Intra-operative Functional Imaging.
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