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检索条件"任意字段=6th International Conference on Medical Image Computing and Computer-Assisted Intervention"

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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

the proceedings contain 12 papers. the special focus in this conference is on Multiscale Multimodal medical Imaging. the topics include: Towards Optimal Patch Size in60;Vision Transformers for60;Tumor Segmentati...

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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24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

24th International Conference on Medical Image Computing and...

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24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

ISBN: (纸本)9783030972806

the proceedings contain 27 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Domain-Robust Mitotic Figure Detection with Style Transfer;semi-supervised Multilevel Symmetric image Registration Method for Magnetic Resonance Whole Brain images;progressive and Coarse-to-Fine Network for medical image Registration Across Phases, Modalities and Patients;fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021;the Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team);conditional Deep Laplacian Pyramid image Registration Network in Learn2Reg Challenge;unsupervised Volumetric Displacement Fields Using Cost Function Unrolling;Fraunhofer MEVIS image Registration Solutions for the Learn2Reg 2021 Challenge;Deformable Registration of Brain MR images via a Hybrid Loss;assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology images;autoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation;metaDetector: Detecting Outliers by Learning to Learn from Self-supervision;self-supervised medical Out-of-Distribution Using U-Net Vision Transformers;self-supervised 3D Out-of-Distribution Detection via Pseudoanomaly Generation;Cascade R-CNN for MIDOG Challenge;Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge;Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge;multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection;stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge;sk-Unet Model with Fourier Domain for Mitosis Detection;preface;domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers;mitoDet: Simple and Robust Mitosis Detection;SS3D: Unsupervised Out-of-Distribution Detection and Localization for medical Volumes;Detecting Mitosis Against Domain Shift

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1st Workshop on Artificial Intelligence over Infrared images for medical Applications, AIIIMA 2022, and the 1st Workshop on medical image assisted Biomarker Discovery, MIABID 2022, both held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st Workshop on Artificial Intelligence over Infrared Images...

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1st Workshop on Artificial Intelligence over Infrared images for medical Applications, AIIIMA 2022, and the 1st Workshop on medical image assisted Biomarker Discovery, MIABID 2022, both held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031196591

the proceedings contain 17 papers. the special focus in this conference is on Artificial Intelligence over Infrared images for medical Applications. the topics include: Counterfactual image Synthesis for Discovery of Personalized Predictive image Markers;CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans;diffusion Tensor Imaging Biomarkers for Parkinson’s Disease Symptomatology;prediction of Immune and Stromal Cell Population Abundance from Hepatocellular Carcinoma Whole Slide images Using Weakly Supervised Learning;enhancing Local Context of Histology Features in Vision Transformers;DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence;Predictive Biomarkers in Melanoma: Detection of BRAF Mutation Using Dermoscopy;Radiomics for Breast IR-Imaging Classification;early thermographic Screening of Breast Abnormality in Women with Dense Breast by thermal, Fractal, and Statistical Analysis;a Novel thermography-Based Artificial Intelligence-Powered Solution for Screening Breast Cancer;thermographic Toothache Screening by Artificial Intelligence;Non-fever COVID-19 Detection by Infrared Imaging;Automated thermal Screening for COVID-19 Using Machine Learning;An Automated Approach for Screening COVID-19 from thermal images Using Convolutional Neural Network;infrared Technology for Vascular Abnormality in Finding of Abdominal Aortic Aneurysm.

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1st international Workshop on Ethical and Philosophical Issues in medical Imaging, EPIMI 2022, the 12th international WorksEthical and Philosophical Issues in medical Imaginghop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2022, and the 2nd international Workshop on Topological Data Analysis for Biomedical Imaging, TDA4BiomedicalImaging 2022, held in conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

1st International Workshop on Ethical and Philosophical Issu...

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1st international Workshop on Ethical and Philosophical Issues in medical Imaging, EPIMI 2022, the 12th international Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2022, and the 2nd international Workshop on Topological Data Analysis for Biomedical Imaging, TDA4BiomedicalImaging 2022, held in conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031232220

the proceedings contain 11 papers. the special focus in this conference is on Ethical and Philosophical Issues in medical Imaging. the topics include: Fetal Cortex Segmentation with Topology and thickness Loss Constraints;disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for medical image Analysis;separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms;a 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools;user-Centered Design for Surgical Innovations: A Ventriculostomy Case Study;visually Aware Metadata-Guided Supervision for Improved Skin Lesion Classification Using Deep Learning;predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information;hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer’s Disease;future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks.

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1st international Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st International Workshop on Computational Mathematics Mode...

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1st international Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031172656

the proceedings contain 15 papers. the special focus in this conference is on Computational Mathematics Modeling in Cancer Analysis. the topics include: Light Annotation Fine Segmentation: Histology image Segmentation Based on VGG Fusion with Global Normalisation CAM;tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy;automatic computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework;accurate Breast Tumor Identification Using Computational Ultrasound image Features;is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma;repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases;MLCN: Metric Learning Constrained Network for Whole Slide image Classification with Bilinear Gated Attention Mechanism;NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology images;self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors;CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis;cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns;Modality-Collaborative AI Model Ensemble for Lung Cancer Early Diagnosis;preface.

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1st international Workshop on Applications of medical Artificial Intelligence, AMAI 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st International Workshop on Applications of Medical Artifi...

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1st international Workshop on Applications of medical Artificial Intelligence, AMAI 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031177200

the proceedings contain 16 papers. the special focus in this conference is on Applications of medical Artificial Intelligence. the topics include: A Deep Learning-Based Interactive medical image Segmentation Framework;deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological images;Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI;the Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation;OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs;wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection;Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA;machine Learning for Dynamically Predicting the Onset of Renal Replacement therapy in Chronic Kidney Disease Patients Using Claims Data;uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence;automated Assessment of Renal Calculi in Serial Computed Tomography Scans;Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning;analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development;ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks;CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI image Analysis.

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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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25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

25th International Conference on Medical Image Computing and...

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25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031164309

the proceedings contain 573 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data;Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI;one-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation;accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner;An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation;shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression Disorder;white Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning;segmentation of Whole-Brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points;tractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers;boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation;multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression;Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification;joint Graph Convolution for Analyzing Brain Structural and Functional Connectome;decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network;hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network;interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity;Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels;fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits;multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks;Dual-HINet: Dual Hierarchical Integration N

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25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022