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检索条件"任意字段=5th International Conference on Medical Image Computing and Computer-Assisted Intervention"

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MICCAI Challenge on Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge, CuRIOUS-SEG 2022, Multi-Structure Segmentation for Renal Cancer Treatment, KiPA 2022 and Mediastinal Lesion Analysis Challenge, MELA 2022 held in conjunction with 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

MICCAI Challenge on Correction of Brain Shift with Intra-Ope...

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MICCAI Challenge on Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge, CuRIOUS-SEG 2022, Multi-Structure Segmentation for Renal Cancer Treatment, KiPA 2022 and Mediastinal Lesion Analysis Challenge, MELA 2022 held in conjunction with 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031273230

the proceedings contain 10 papers. the special focus in this conference is on MICCAI Challenge on Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge. the topics include: A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA images;accurate Detection of Mediastinal Lesions with nnDetection;boundary-Aware Network for Kidney Parsing;A CNN-Based Multi-stage Framework for Renal Multi-structure Segmentation;CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation;automated 3D Segmentation of Renal Structures for Renal Cancer Treatment;ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment;segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision;Ultrasound Segmentation Using a 2D UNet with Bayesian Volumetric Support;segmentation of Intraoperative 3D Ultrasound images Using a Pyramidal Blur-Pooled 2D U-Net.

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4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

4th MICCAI Workshop on Domain Adaptation and Representation ...

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4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031168512

the proceedings contain 13 papers. the special focus in this conference is on Domain Adaptation and Representation Transfer. the topics include: Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net Based medical image Segmentation;cateNorm: Categorical Normalization for Robust medical image Segmentation;benchmarking and Boosting Transformers for medical image Classification;supervised Domain Adaptation Using Gradients Transfer for Improved medical image Analysis;stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss;metaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation;unsupervised Site Adaptation by Intra-site Variability Alignment;discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining;POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised medical image Analysis;feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging;preface.

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4th Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2022, held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

4th Workshop on Uncertainty for Safe Utilization of Machine ...

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4th Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2022, held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031167485

the proceedings contain 13 papers. the special focus in this conference is on Uncertainty for Safe Utilization of Machine Learning 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.

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7th international Workshop on Simulation and Synthesis in medical Imaging, SASHIMI 2022, held in conjunction with 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

7th International Workshop on Simulation and Synthesis in Me...

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7th international Workshop on Simulation and Synthesis in medical Imaging, SASHIMI 2022, held in conjunction with 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031169793

the proceedings contain 15 papers. the special focus in this conference is on Simulation and Synthesis in medical Imaging. the topics include: Contrastive Learning for Generating Optical Coherence Tomography images of the Retina;A Novel Method Combining Global and Local Assessments to Evaluate CBCT-Based Synthetic CTs;SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution;Evaluating the Performance of StyleGAN2-ADA on medical images;Backdoor Attack is a Devil in Federated GAN-Based medical image Synthesis;Generating Artificial Artifacts for Motion Artifact Detection in Chest CT;probabilistic image Diversification to Improve Segmentation in 3D Microscopy image Data;Pathology Synthesis of 3D Consistent Cardiac MR images Using 2D VAEs and GANs;HealthyGAN: Learning from Unannotated medical images to Detect Anomalies Associated with Human Disease;Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement;morphology-Preserving Autoregressive 3D Generative Modelling of the Brain;can Segmentation Models Be Trained with Fully Synthetically Generated Data?;multimodal Super Resolution with Dual Domain Loss and Gradient Guidance.

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2nd Diabetic Foot Ulcers Grand Challenge, DFUC 2021 held in conjunction with 24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

2nd Diabetic Foot Ulcers Grand Challenge, DFUC 2021 held in ...

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2nd Diabetic Foot Ulcers Grand Challenge, DFUC 2021 held in conjunction with 24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

ISBN: (纸本)9783030949068

the proceedings contain 8 papers. the special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. the topics include: Development of Diabetic Foot Ulcer Datasets: An Overview;convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification;deep Subspace Analysing for Semi-supervised Multi-label Classification of Diabetic Foot Ulcer;Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures;Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 Challenge;bias Adjustable Activation Network for Imbalanced Data—Diabetic Foot Ulcer Challenge 2021.

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3rd 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, held in Conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

3rd 3D Head and Neck Tumor Segmentation in PET/CT Challenge,...

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3rd 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, held in Conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031274190

the proceedings contain 24 papers. the special focus in this conference is on 3D Head and Neck Tumor Segmentation in PET/CT Challenge. the topics include: Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients;Combining nnUNet and AutoML for Automatic Head and Neck Tumor Segmentation and Recurrence-Free Survival Prediction in PET/CT images;Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report;Head and Neck Cancer Localization with Retina Unet for Automated Segmentation and Time-To-Event Prognosis from PET/CT images;HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT images;Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network;Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer;Deep Learning and Radiomics Based PET/CT image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients;A Coarse-to-Fine Ensembling Framework for Head and Neck Tumor and Lymph Segmentation in CT and PET images;A General Web-Based Platform for Automatic Delineation of Head and Neck Gross Tumor Volumes in PET/CT images;octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement;Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans;fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques;stacking Feature Maps of Multi-scaled medical images in U-Net for 3D Head and Neck Tumor Segmentation;a Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal images of Oropharyngeal Cancer;preface;Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT;multi-scale Fusion Methodologies for Head and Neck

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2nd MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

2nd MICCAI Workshop on Data Augmentation, Labelling, and Imp...

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2nd MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031170263

the proceedings contain 12 papers. the special focus in this conference is on Data Augmentation, Labelling, and Imperfections. the topics include: Efficient medical image Assessment via Self-supervised Learning;few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays;deepEdit: Deep Editable Learning for Interactive Segmentation of 3D medical images;long-Tailed Classification of thorax Diseases on Chest X-Ray: A New Benchmark Study;lesser of Two Evils Improves Learning in the Context of Cortical thickness Estimation Models - Choose Wisely;TAAL: Test-Time Augmentation for Active Learning in medical image Segmentation;Disentangling a Single MR Modality;CTooth+: A Large-Scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation;noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning;CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants.

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1st international Workshop on Imaging Systems for GI Endoscopy, ISGIE 2022 and 4th international Workshop on GRaphs in biomedical image anaLysis, GRAIL 2022 held in Conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st International Workshop on Imaging Systems for GI Endosco...

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1st international Workshop on Imaging Systems for GI Endoscopy, ISGIE 2022 and 4th international Workshop on GRaphs in biomedical image anaLysis, GRAIL 2022 held in Conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031210822

the proceedings contain 12 papers. the special focus in this conference is on Imaging Systems for GI Endoscopy. the topics include: Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification;taG-Net: Topology-Aware Graph Network for Vessel Labeling;transforming Connectomes to "Any" Parcellation via Graph Matching;criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation;colonoscopy Landmark Detection Using Vision Transformers;real-Time Lumen Detection for Autonomous Colonoscopy;superPoint Features in Endoscopy;estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos;Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis;bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients;deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation.

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13th international Workshop on Machine Learning in medical Imaging, MLMI 2022, held in conjunction with 25th international conference on medical image computing and computer_assisted intervention, MICCAI 2022

13th International Workshop on Machine Learning in Medical I...

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13th international Workshop on Machine Learning in medical Imaging, MLMI 2022, held in conjunction with 25th international conference on medical image computing and computer_assisted intervention, MICCAI 2022

ISBN: (纸本)9783031210136

the proceedings contain 48 papers. the special focus in this conference is on Machine Learning 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-

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3rd international Workshop on Multiscale Multimodal medical Imaging, MMMI 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

3rd International Workshop on Multiscale Multimodal Medical ...

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3rd international Workshop on Multiscale Multimodal medical Imaging, MMMI 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031188138

the proceedings contain 12 papers. the special focus in this conference is on Multiscale Multimodal medical Imaging. the topics include: Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation;Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans;visual Modalities Based Multimodal Fusion for Surgical Phase Recognition;cross-Scale Attention Guided Multi-instance Learning for Crohn’s Disease Diagnosis with Pathological images;vessel Segmentation via Link Prediction of Graph Neural Networks;A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset;Liver Segmentation Quality Control in Multi-sequence MR Studies;Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI;gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical image Segmentation;Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study.

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