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检索条件"任意字段=8th International Conference on Medical Image Computing and Computer-Assisted Intervention"

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medical image computing and computer-assisted intervention - MICCAI 2005 - 8th international conference, Proceedings

Medical Image Computing and Computer-Assisted Intervention -...

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8th international conference on medical image computing and computer-assisted intervention - MICCAI 2005

ISBN: (纸本)3540293264

the proceedings contain 237 papers. the topics discussed include: simultaneous registration and segmentation of anatomical structures from brain MRI;a segmentation and reconstruction technique for 3D vascular structures;special graphs for intra-cranial vascular network characterization, generation, and discrimination;uncertainty in white matter fiber tractography;fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis;a method to evaluate human spatial coordination interfaces for computer-assisted surgery;invisible shadow for navigation and planning in minimal invasive surgery;a novel phantom-less spatial and temporal ultrasound calibration method;electromagnetic tracker measurement error simulation and tool design;soft-tissue motion tracking and structure estimation for robotic assisted MIS procedures;and stochastic inverse consistency in medical image registration.

关键词： medical imaging

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medical image computing and computer-assisted intervention - MICCAI 2005 8th international conference, Proceedings

Medical Image Computing and Computer-Assisted Intervention -...

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8th international conference on medical image computing and computer-assisted intervention - MICCAI 2005

ISBN: (纸本)3540293272

关键词： medical imaging

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4th Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

4th Workshop on Deep Generative Models for Medical Image Com...

引用

4th Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031727436

the proceedings contain 21 papers. the special focus in this conference is on Deep Generative Models for medical image computing and computer assisted intervention. the topics include: Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from thick Slice MRI;anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs;enhancing Cross-Modal medical image Segmentation through Compositionality;unpaired Modality Translation for Pseudo Labeling of Histology images;SNAFusion: Distilling 2D Axial Plane Diffusion Priors for Sparse-View 3D Cone-Beam CT Imaging;SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People;denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting;panoptic Segmentation of Mammograms with Text-to-image Diffusion Model;interactive Generation of Laparoscopic Videos with Diffusion Models;Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors;qMRI Diffuser: Quantitative T1 Mapping of the Brain Using a Denoising Diffusion Probabilistic Model;on Differentially Private 3D medical image Synthesis with Controllable Latent Diffusion Models;five Pitfalls When Assessing Synthetic medical images with Reference Metrics;Augmenting Prostate MRI Dataset with Synthetic Volumetric images from Zone-Conditioned Diffusion Generative Model;tiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation;Segmentation-Guided MRI Reconstruction for Meaningfully Diverse Reconstructions;Non-reference Quality Assessment for medical Imaging: Application to Synthetic Brain MRIs;latentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework;How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models.

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1st international Workshop on Machine Learning and medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the 8th international Joint Workshops on computing and Visualization for Intravascular Imaging and computer assisted Stenting, CVII-STENT 2019, held in conjunction with 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

1st International Workshop on Machine Learning and Medical E...

引用

1st international Workshop on Machine Learning and medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the 8th international Joint Workshops on computing and Visualization for Intravascular Imaging and computer assisted Stenting, CVII-STENT 2019, held in conjunction with 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

ISBN: (纸本)9783030333263

the proceedings contain 24 papers. the special focus in this conference is on international Workshop on Machine Learning 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 international conference 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.

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medical image computing and computer-assisted intervention - MICCAI 2005 :8th international conference, Palm Springs, CA, USA, October 26-29, 2005 : proceedings

Medical image computing and computer-assisted intervention -...

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丛书名： Lecture notes in computer science,

2005年

作者： James S. Duncan Guido Gerig (eds.)

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1st international Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2019, and the 8th international Workshop on Clinical image-Based Procedures, CLIP 2019, held in conjunction with 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

1st International Workshop on Uncertainty for Safe Utilizati...

引用

1st international Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2019, and the 8th international Workshop on Clinical image-Based Procedures, CLIP 2019, held in conjunction with 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

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 Machine Learning in medical Imaging, and the international Workshop on Clinical image-Based Procedures, held in conjunction with international conference 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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9th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2024, held in Conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

9th International Workshop on Perinatal, Preterm and Paediat...

引用

9th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2024, held in Conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031732591

the proceedings contain 14 papers. the special focus in this conference is on Perinatal, Preterm and Paediatric image Analysis. the topics include: Automatic Disentanglement of Motion in Fetal Low Field MRI Scans;Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction;Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study;automatic 8-Tissue Segmentation for 6-Month Infant Brains;towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss;automatic Assessment of Fetal Multi-echo Diffusion Weighted Scans;rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective;Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry;Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI;Fetal Body Parts Segmentation Using Volumetric MRI Reconstructions;generative Diffusion Model Bootstraps Zero-Shot Classification of Fetal Ultrasound images in Underrepresented African Populations;semi-supervised three-Dimensional Detection of Congenital Brain Anomalies in First Trimester Ultrasound.

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4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in ...

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4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031808708

the proceedings contain 10 papers. the special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. the topics include: Diabetic Foot Ulcer Unsupervised Segmentation with Vision Transformers Attention;self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation;multi-stage Segmentation of Diabetic Foot Ulcers Using Self-supervised Learning;SSL Based Encoder Pretraining for Segmenting a Heterogeneous Chronic Wound image Database with Few Annotations;multi-scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-supervised Learning;a Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024;CDe: Focus on the Color Differences in Diabetic Foot images;diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods.

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11th international Workshop on Ophthalmic medical image Analysis, OMIA-XI 2024 was held in conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

11th International Workshop on Ophthalmic Medical Image Anal...

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11th international Workshop on Ophthalmic medical image Analysis, OMIA-XI 2024 was held in conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031731181

the proceedings contain 16 papers. the special focus in this conference is on Ophthalmic medical image Analysis. the topics include: VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation;wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging;inter-frame Sclera Vessel Rotation Tracking for Toric Intraocular Lens Implantation Navigation;data Heterogeneity-Aware Personalized Federated Learning for Diagnosis;MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic image Segmentation;Coral-CVDs: A Consistent Ordinal Regression Model for Cardiovascular Diseases Grading;affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography;Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation;advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis;Masked image Modelling for Retinal OCT Understanding;A Dual-Stream Network for Langerhans’ Cells Segmentation in CCM images;formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation;Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust;enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt.

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1st BONBID-HIE Lesion Segmentation Challenge and 1st Trauma thompson Challenge Held in Conjunction with 26th international conference on medical image computing and computer assisted intervention, MICCAI 2023

1st BONBID-HIE Lesion Segmentation Challenge and 1st Trauma ...

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1st BONBID-HIE Lesion Segmentation Challenge and 1st Trauma thompson Challenge Held in Conjunction with 26th international conference on medical image computing and computer assisted intervention, MICCAI 2023

ISBN: (纸本)9783031716256

the proceedings contain 10 papers. the special focus in this conference is on BONBID-HIE Lesion Segmentation Challenge and Trauma thompson Challenge. the topics include: Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy;An Ensemble Approach for Segmentation of Neonatal HIE Lesions;Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge;a Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging;SegResNet Based Reciprocal Transformation for BONBID-HIE Lesion Segmentation;Overview of the Trauma thOMPSON Challenge at MICCAI 2023;the Trauma thOMPSON Challenge Report MICCAI 2023;Action Recognition and Action Anticipation Tasks in the Trauma thOMPSON Challenge Technical Report;QuIIL at T3 Challenge: Towards Automation in Life-Saving intervention Procedures from First-Person View.

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