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

共 3012 条记录，以下是31-40 订阅

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5th Workshop on GRaphs in biomedical image anaLysis Satellite event at MICCAI, GRAIL 2023 and 1st Cell Detection from Cell-Tissue Interaction challenge in MICCAI, OCELOT 2023 Held in Conjunction with international conference on medical image computing and computer-assisted intervention, MICCAI 2023

5th Workshop on GRaphs in biomedicAl Image anaLysis Satellit...

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5th Workshop on GRaphs in biomedical image anaLysis Satellite event at MICCAI, GRAIL 2023 and 1st Cell Detection from Cell-Tissue Interaction challenge in MICCAI, OCELOT 2023 Held in Conjunction with international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031550874

the proceedings contain 15 papers. the special focus in this conference is on GRaphs in biomedical image anaLysis Satellite. the topics include: Self Supervised Multi-view Graph Representation Learning in Digital Pathology;a Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression;tertiary Lymphoid Structures Generation through Graph-Based Diffusion;multi-head Graph Convolutional Network for Structural Connectome Classification;extended Graph Assessment Metrics for Regression and Weighted Graphs;enhancing Cell Detection in Histopathology images: A ViT-Based U-Net Approach;Enhancing Cell Detection via FC-HarDNet and Tissue Segmentation: OCELOT 2023 Challenge Approach;generating BlobCell Label from Weak Annotations for Precise Cell Segmentation;OCELOT 2023 Preface;GRAIL 2023 Preface;SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation;prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays;dense Prediction of Cell Centroids Using Tissue Context and Cell Refinement;detecting Cells in Histopathology images with a ResNet Ensemble Model.

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1st MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, UWF4DR 2024, Held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

1st MICCAI Challenge on Ultra-Widefield Fundus Imaging for D...

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1st MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, UWF4DR 2024, Held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

the proceedings contain 17 papers. the special focus in this conference is on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy. the topics include: Lightweight and60;Accurate: ShuffleNet for60;Diabetic Re...

ISBN: (纸本)9783031893872

the proceedings contain 17 papers. the special focus in this conference is on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy. the topics include: Lightweight and Accurate: ShuffleNet for Diabetic Retinopathy and EfficientNet for Diabetic Macular Edema Diagnosis;efficient Deep Learning Models for Ultra-widefield Fundus Imaging for Diabetic Retinopathy;bag of Tricks for Ultra-widefield Fundus image Quality Assessment;bag of Tricks for Diabetic Retinopathy and Diabetic Macular Edema Classification in Ultra-widefield Imaging;deep Self-supervised Learning for Ultra-widefield Fundus image Quality Assessment;Reliable DL-Based Referable Diabetic Retinopathy and Diabetic Macular Edema Detection Using Ultra-widefield Fundus images;deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-widefield Fundus Imaging;a Comprehensive Approach to Diabetic Retinopathy Classification: Combining ResNet34 with Enhanced Preprocessing for Ultra-widefield Fundus Imaging;an Ultra-efficient Method for Real-Time Ultra-widefield Fundus image Quality Assessment;ultra-fast Detection of Referable Diabetic Retinopathy and Macular Edema in Ultra-widefield Fundus Imaging Using a Unified Risk Score;efficient Deep Learning Approaches for Processing Ultra-widefield Retinal Imaging;efficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus images;many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification;DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification;automatic Identification Method for Diabetic Macular Edema in Ultra-widefield Fundus images.

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Workshop on Longitudinal Disease Tracking and Modeling with medical images and Data, LDTM 2024, 5th international Workshop on Multiscale Multimodal medical Imaging, MMMI 2024, 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

Workshop on Longitudinal Disease Tracking and Modeling with ...

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Workshop on Longitudinal Disease Tracking and Modeling with medical images and Data, LDTM 2024, 5th international Workshop on Multiscale Multimodal medical Imaging, MMMI 2024, 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031845246

the proceedings contain 21 papers. the special focus in this conference is on Longitudinal Disease Tracking and Modeling with medical images and Data. the topics include: Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson’s Disease Trajectory Modelling;back to the Future: Challenges of Sparse and Irregular medical image Time Series;Individualized Multi-horizon MRI Trajectory Prediction for Alzheimer’s Disease;towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling;segHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints;Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting;registration of Longitudinal Liver Examinations for Tumor Progress Assessment;Tracking Lesion Evolution Using a Boundary Enhanced Approach for MS Change Segmentation (BEAMS);a Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept;language Models Meet Anomaly Detection for Better Interpretability and Generalizability;A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation;predicting Human Brain States with Transformer;Cross-Modality image Quality Prediction for Time-Resolved CT from Breathing Signals;RATNUS: Rapid, Automatic thalamic Nuclei Segmentation Using Multimodal MRI Inputs;HyperMM: Robust Multimodal Learning with Varying-Sized Inputs;HEMIT: H&E to Multiplex-Immunohistochemistry image Translation with Dual-Branch Pix2pix Generator;Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis;medPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis;predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning;multimodality for Diagnosis of Asian Choroidal Vasculopathy: Results from a Novel Dataset and Deep-Learning Experiments;multimodality Frequency Feature Customized Learning for Pediatric Ventricu

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1st Challenge on Head and Neck Tumor Segmentation for MRI-Guided Applications, HNTS-MRG 2024, Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

1st Challenge on Head and Neck Tumor Segmentation for MRI-Gu...

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1st Challenge on Head and Neck Tumor Segmentation for MRI-Guided Applications, HNTS-MRG 2024, Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031832734

the proceedings contain 22 papers. the special focus in this conference is on Head and Neck Tumor Segmentation for MRI-Guided Applications. the topics include: Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation therapy;Head and Neck Tumor Segmentation for MRI-Guided Radiation therapy Using Pre-trained STU-Net Models;Head and Neck Tumor Segmentation of MRI from Pre-and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet;Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-Nets;Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer;Enhancing Head and Neck Tumor Segmentation in MRI: the Impact of image Preprocessing and Model Ensembling;UMamba Adjustment: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and NnU-Net ResEnc Planner;Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy;A Coarse-to-Fine Framework for Mid-Radiotherapy Head and Neck Cancer MRI Segmentation;Assessing Self-supervised xLSTM-UNet Architectures for Head and Neck Tumor Segmentation in MR-Guided Applications;MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble;Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNet;Benchmark of Deep Encoder-Decoder Architectures for Head and Neck Tumor Segmentation in Magnetic Resonance images: Contribution to the HNTSMRG Challenge;ensemble of LinkNet Networks for Head and Neck Tumor Segmentation;Enhancing nnUNetv2 Training with Autoencoder Architecture for Improved medical image Segmentation;head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet.

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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)9783031474248

the proceedings contain 35 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation;GPC: Generative and General Pathology image Classifier;towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation;concept Bottleneck with Visual Concept Filtering for Explainable medical image Classification;SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation;evaluation and Improvement of Segment Anything Model for Interactive Histopathology image Segmentation;task-Driven Prompt Evolution for Foundation Models;generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders;CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets;histopathological image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization;DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks;AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets;ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data;validation of Federated Unlearning on Collaborative Prostate Segmentation;federated Model Aggregation via Self-supervised Priors for Highly Imbalanced medical image Classification;FedAutoMRI: Federated Neural Architecture Search for MR image Reconstruction;Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation;splitFed Resilience to Packet Loss: Where to Split, that is the Question;test-Time Selection for Robust Skin Lesion Analysis;global and Local Explanations for Skin Cancer Diagnosis Using Prototypes;evidence-Driven Differential Diagnosis of Malignant Melanoma;an Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for D

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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)9783031474002

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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)9783031336577

the proceedings contain 25 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Semi-supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment;image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA images;an Improved U-Net for Diabetic Retinopathy Segmentation;a Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography;Segmentation, Classification, and Quality Assessment of UW-OCTA images for the Diagnosis of Diabetic Retinopathy;data Augmentation by Fourier Transformation for Class-Imbalance: Application to medical image Quality Assessment;Automatic image Quality Assessment and DR Grading Method Based on Convolutional Neural Network;a Transfer Learning Based Model Ensemble Method for image Quality Assessment and Diabetic Retinopathy Grading;Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA images Using Transfer Learning;Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge;automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias;Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge;Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge;tackling Mitosis Domain Generalization in Histopathology images with Color Normalization;a Deep Learning Based Ensemble Model for Generalized Mitosis Detection in H &E Stained Whole Slide images;Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset;multi-task RetinaNet for Mitosis Detection;bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography images;deep Convolutional Neural Network for image Quality Assessment and Diabetic Retinopathy Grading;diabetic Retinal

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6th international Workshop on Ophthalmic medical image Analysis, OMIA 2019, held in conjunction with the 22nd international conference on medical Imaging computing and computer-assisted intervention, MICCAI 2019

6th International Workshop on Ophthalmic Medical Image Analy...

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6th international Workshop on Ophthalmic medical image Analysis, OMIA 2019, held in conjunction with the 22nd international conference on medical Imaging computing and computer-assisted intervention, MICCAI 2019

ISBN: (纸本)9783030329556

the proceedings contain 22 papers. the special focus in this conference is on international Workshop on Ophthalmic medical image Analysis, held in conjunction with the international conference on medical Imaging computing and computer-assisted intervention. the topics include: Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network;structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography image;Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior;multi-discriminator Generative Adversarial Networks for Improved thin Retinal Vessel Segmentation;encoder-Decoder Attention Network for Lesion Segmentation of Diabetic Retinopathy;An Improved MPB-CNN Segmentation Method for Edema Area and Neurosensory Retinal Detachment in SD-OCT images;Network Pruning for OCT image Classification;fundus image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network;the Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection;robust Optic Disc Localization by Large Scale Learning;u-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography;deriving Visual Cues from Deep Learning to Achieve Subpixel Cell Segmentation in Adaptive Optics Retinal images;preface;Dictionary Learning Informed Deep Neural Network with Application to OCT images;Shape Decomposition of Foveal Pit Morphology Using Scan Geometry Corrected OCT;semi-supervised Adversarial Learning for Diabetic Retinopathy Screening;3D-CNN for Glaucoma Detection Using Optical Coherence Tomography;guided M-Net for High-Resolution Biomedical image Segmentation with Weak Boundaries;foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning;An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.

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3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in...

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3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

the proceedings contain 10 papers. the special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. the topics include: HarDNet-DFUS: Enhancing Backbone and60;Decoder of60;HarDNet-MSEG for60;D...

ISBN: (纸本)9783031263538

the proceedings contain 10 papers. the special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. the topics include: HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer image Segmentation;OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss;on the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness;capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution images;unconditionally Generated and Pseudo-Labeled Synthetic images for Diabetic Foot Ulcer Segmentation Dataset Extension;diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models;refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation;DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection.

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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)9783031438943

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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