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

共 2671 条记录，以下是41-50 订阅

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

26th International Conference on Medical Image Computing and...

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031439988

the proceedings contain 730 papers. the special focus in this conference is on international conference on medical image computing and computer-assisted intervention. the topics include: MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT images;MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI;Estimation of 3T MR images from 1.5T images Regularized with Physics Based Constraint;feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis;DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET image Reconstruction;Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT image Reconstructions;Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction;TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms;Computationally Efficient 3D MRI Reconstruction with Adaptive MLP;Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction;Building a Bridge: Close the Domain Gap in CT Metal Artifact Reduction;geometric Ultrasound Localization Microscopy;Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked image Modeling;Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction;FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction;topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model;MRIS: A Multi-modal Retrieval Approach for image Synthesis on Diverse Modalities;Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI;Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty;trackerless Volume Reconstruction from Intraoperative Ultrasound images;Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction;Accurate Multi-contrast MRI Super-Resolution via a

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

26th International Conference on Medical Image Computing and...

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031439032

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

26th International Conference on Medical Image Computing and...

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031439896

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

26th International Conference on Medical Image Computing and...

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26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031439001

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2nd Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2022, held in Conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

2nd Workshop on Deep Generative Models for Medical Image Com...

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2nd Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2022, held in Conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031185755

the proceedings contain 12 papers. the special focus in this conference is on Deep Generative Models for medical image computing and computer assisted intervention. the topics include: Airway Measurement by Refinement of Synthetic images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis;brain Imaging Generation with Latent Diffusion Models;Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection;interpreting Latent Spaces of Generative Models for medical images Using Unsupervised Methods;what is Healthy? Generative Counterfactual Diffusion for Lesion Localization;Learning Generative Factors of EEG Data with Variational Auto-Encoders;an image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories;novel View Synthesis for Surgical Recording;anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans;image Translation Based Nuclei Segmentation for Immunohistochemistry images.

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3rd international Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

3rd International Challenge on Kidney and Kidney Tumor Segme...

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3rd international Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031548055

the proceedings contain 22 papers. the special focus in this conference is on Kidney and Kidney Tumor Segmentation. the topics include: Cascaded nnU-Net for Kidney and Kidney Tumor Segmentation;Cascade UNets for Kidney and Kidney Tumor Segmentation;3d U-Net with ROI Segmentation of Kidneys and Masses in CT Scans;two-Stage Segmentation Framework with Parallel Decoders for the Kidney and Kidney Tumor Segmentation;Genetic Algorithm Enhanced nnU-Net for the MICCAI KiTS23 Challenge;GSCA-Net: A Global Spatial Channel Attention Network for Kidney, Tumor and Cyst Segmentation;Two-Stage Segmentation and Ensemble Modeling: Kidney Tumor Analysis in CT images;using Uncertainty Information for Kidney Tumor Segmentation;an Ensemble of 2.5D ResUnet Based Models for Segmentation of Kidney and Masses;a Hybrid Network Based on nnU-Net and Swin Transformer for Kidney Tumor Segmentation;Analyzing Domain Shift When Using Additional Data for the MICCAI KiTS23 Challenge;dynamic Resolution Network for Kidney Tumor Segmentation;Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge;3D Segmentation of Kidneys, Kidney Tumors and Cysts on CT images - KiTS23 Challenge;Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge;preface;leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts;Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT images;kidney and Kidney Tumor Segmentation via Transfer Learning;Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge.

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14th international Workshop on Computational Diffusion MRI, CDMRI 2023 held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

14th International Workshop on Computational Diffusion MRI, ...

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14th international Workshop on Computational Diffusion MRI, CDMRI 2023 held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031472916

the proceedings contain 17 papers. the special focus in this conference is on Computational Diffusion MRI. the topics include: FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography;anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography;BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data;a Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data;reTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs;Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort;Neural Spherical Harmonics for Structurally Coherent Continuous Representation of Diffusion MRI Signal;A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI;Diffusion Phantom Study of Fiber Crossings at Varied Angles Reconstructed with ODF-Fingerprinting;improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging;bundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation;Automated Mapping of Residual Distortion Severity in Diffusion MRI;automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle;Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI;voxlines: Streamline Transparency through Voxelization and View-Dependent Line Orders.

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1st Left Atrial and Scar Quantification and Segmentation Challenge, LAScarQS 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

1st Left Atrial and Scar Quantification and Segmentation Cha...

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1st Left Atrial and Scar Quantification and Segmentation Challenge, LAScarQS 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031317774

the proceedings contain 15 papers. the special focus in this conference is on Left Atrial and Scar Quantification and Segmentation Challenge. the topics include: Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network;self Pre-training with Single-Scale Adapter for Left Atrial Segmentation;UGformer for Robust Left Atrium and Scar Segmentation Across Scanners;Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net;two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation;sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing;LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI;Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI images;preface;LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification;TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium;deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation;cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion.

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5th international Workshop on Interpretability of Machine Intelligence in medical image computing, iMIMIC 2022, held in conjunction with the 25th international conference on medical Imaging and computer-assisted intervention, MICCAI 2022

5th International Workshop on Interpretability of Machine In...

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5th international Workshop on Interpretability of Machine Intelligence in medical image computing, iMIMIC 2022, held in conjunction with the 25th international conference on medical Imaging and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031179754

the proceedings contain 10 papers. the special focus in this conference is on Interpretability of Machine Intelligence in medical image computing. the topics include: Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation;towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data;reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis;attention-Based Interpretable Regression of Gene Expression in Histology;beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust;interpretable Vertebral Fracture Diagnosis;Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT;KAM - A Kernel Attention Module for Emotion Classification with EEG Data.

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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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