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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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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

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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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...

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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

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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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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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

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