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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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6th international Workshop on Simulation and Synthesis in medical Imaging, SASHIMI 2021, held in conjunction with the 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

6th International Workshop on Simulation and Synthesis in Me...

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6th international Workshop on Simulation and Synthesis in medical Imaging, SASHIMI 2021, held in conjunction with the 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

ISBN: (纸本)9783030875916

the proceedings contain 14 papers. the special focus in this conference is on Simulation and Synthesis in medical Imaging. the topics include: SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus image;cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging;Cine-MRI Simulation to Evaluate Tumor Tracking;GAN-Based Synthetic FDG PET images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models;joint image and Label Self-super-Resolution;Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT image Dataset;a Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms;synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired images;learning-Based Template Synthesis for Groupwise image Registration;the Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties;transfer Learning in Optical Microscopy;X-ray Synthesis Based on Triangular Mesh Models Using GPU-Accelerated Ray Tracing for Multi-modal Breast image Registration.

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6th international MICCAI Brainlesion Workshop, BrainLes 2020 Held in Conjunction with 23rd medical image computing for computer assisted intervention conference, MICCAI 2020

6th International MICCAI Brainlesion Workshop, BrainLes 2020...

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6th international MICCAI Brainlesion Workshop, BrainLes 2020 Held in Conjunction with 23rd medical image computing for computer assisted intervention conference, MICCAI 2020

ISBN: (纸本)9783030720834

the proceedings contain 91 papers. the special focus in this conference is on medical image computing for computer assisted intervention. the topics include: Preface;glioma Diagnosis and Classification: Illuminating the Gold Standard;label-Efficient Multi-task Segmentation Using Contrastive Learning;spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation;MMSSD: Multi-scale and Multi-level Single Shot Detector for Brain Metastases Detection;unsupervised 3D Brain Anomaly Detection;Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI;estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression;bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions;Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI images;multimodal Brain image Analysis and Survival Prediction Using Neuromorphic Attention-Based Neural Networks;Context Aware 3D UNet for Brain Tumor Segmentation;Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods;brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint;modality-Pairing Learning for Brain Tumor Segmentation;transfer Learning for Brain Tumor Segmentation;efficient Embedding Network for 3D Brain Tumor Segmentation;segmentation of the Multimodal Brain Tumor images Used Res-U-Net;Vox2Vox: 3D-GAN for Brain Tumour Segmentation;automatic Brain Tumor Segmentation with Scale Attention Network;impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction;Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors;glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis;Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics.

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6th international MICCAI Brainlesion Workshop, BrainLes 2020 Held in Conjunction with 23rd medical image computing for computer assisted intervention conference, MICCAI 2020

6th International MICCAI Brainlesion Workshop, BrainLes 2020...

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6th international MICCAI Brainlesion Workshop, BrainLes 2020 Held in Conjunction with 23rd medical image computing for computer assisted intervention conference, MICCAI 2020

ISBN: (纸本)9783030720865

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3rd international Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2021, and the 6th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2021, held in conjunction with the 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

3rd International Workshop on Uncertainty for Safe Utilizati...

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3rd international Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2021, and the 6th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2021, held in conjunction with the 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

ISBN: (纸本)9783030877347

the proceedings contain 27 papers. the special focus in this conference is on Uncertainty for Safe Utilization of Machine Learning in medical Imaging. the topics include: Robust Selective Classification of Skin Lesions with Asymmetric Costs;confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis;novel Disease Detection Using Ensembles with Regularized Disagreement;automatic Placenta Abnormality Detection Using Convolutional Neural Networks on Ultrasound Texture;Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction;Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI;myelination of Preterm Brain Networks at Adolescence;A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI;Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss;accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic;Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation;CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI;Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes;assessment of Regional Cortical Development through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound;texture-Based Analysis of Fetal Organs in Fetal Growth Restriction;Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI;analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis;predicting Preterm Birth Using Multimodal Fetal Imaging;Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR;improving the Reliability of Semantic Segmentation of medical images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning.

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6th international Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

6th International Workshop and Challenge on Computational Me...

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6th international Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

ISBN: (纸本)9783030397517

the proceedings contain 14 papers. the special focus in this conference is on Computational Methods and Clinical Applications for Spine Imaging. the topics include: A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment;automated Spinal Curvature Assessment from X-Ray images Using Landmarks Estimation Network via Rotation Proposals;automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks;Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks;preface;vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape;automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression;automatic Spine Curvature Estimation by a Top-Down Approach;seg4Reg Networks for Automated Spinal Curvature Estimation;accurate Automated Keypoint Detections for Spinal Curvature Estimation;Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT;conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures.

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4th Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

4th Workshop on Deep Generative Models for Medical Image Com...

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4th Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031727436

the proceedings contain 21 papers. the special focus in this conference is on Deep Generative Models for medical image computing and computer assisted intervention. the topics include: Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from thick Slice MRI;anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs;enhancing Cross-Modal medical image Segmentation through Compositionality;unpaired Modality Translation for Pseudo Labeling of Histology images;SNAFusion: Distilling 2D Axial Plane Diffusion Priors for Sparse-View 3D Cone-Beam CT Imaging;SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People;denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting;panoptic Segmentation of Mammograms with Text-to-image Diffusion Model;interactive Generation of Laparoscopic Videos with Diffusion Models;Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors;qMRI Diffuser: Quantitative T1 Mapping of the Brain Using a Denoising Diffusion Probabilistic Model;on Differentially Private 3D medical image Synthesis with Controllable Latent Diffusion Models;five Pitfalls When Assessing Synthetic medical images with Reference Metrics;Augmenting Prostate MRI Dataset with Synthetic Volumetric images from Zone-Conditioned Diffusion Generative Model;tiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation;Segmentation-Guided MRI Reconstruction for Meaningfully Diverse Reconstructions;Non-reference Quality Assessment for medical Imaging: Application to Synthetic Brain MRIs;latentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework;How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models.

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3rd Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2023 Held in Conjunction with 26th international conference on medical image computing and computer assisted intervention, MICCAI 2023

3rd Workshop on Deep Generative Models for Medical Image Com...

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3rd Workshop on Deep Generative Models for medical image computing and computer assisted intervention, DGM4MICCAI 2023 Held in Conjunction with 26th international conference on medical image computing and computer assisted intervention, MICCAI 2023

ISBN: (纸本)9783031537660

the proceedings contain 23 papers. the special focus in this conference is on Deep Generative Models for medical image computing and computer assisted intervention. the topics include: Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model;A 3D Generative Model of Pathological Multi-modal MR images and Segmentations;Rethinking a Unified Generative Adversarial Model for MRI Modality Completion;diffusion Models for Generative Histopathology;shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature;pre-training with Diffusion Models for Dental Radiography Segmentation;ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space;ultrasound image Reconstruction with Denoising Diffusion Restoration Models;privacy Distillation: Reducing Re-identification Risk of Diffusion Models;Diffusion Model Based Knee Cartilage Segmentation in MRI;Semantic image Synthesis for Abdominal CT;CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy;Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models;federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning;metrics to Quantify Global Consistency in Synthetic medical images;MIM-OOD: Generative Masked image Modelling for Out-of-Distribution Detection in medical images;towards Generalised Neural Implicit Representations for image Registration;investigating Data Memorization in 3D Latent Diffusion Models for medical image Synthesis;ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology image Analysis;anomaly Guided Generalizable Super-Resolution of Chest X-Ray images Using Multi-level Information Rendering;importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation.

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9th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2024, held in Conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

9th International Workshop on Perinatal, Preterm and Paediat...

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9th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2024, held in Conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031732591

the proceedings contain 14 papers. the special focus in this conference is on Perinatal, Preterm and Paediatric image Analysis. the topics include: Automatic Disentanglement of Motion in Fetal Low Field MRI Scans;Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction;Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study;automatic 8-Tissue Segmentation for 6-Month Infant Brains;towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss;automatic Assessment of Fetal Multi-echo Diffusion Weighted Scans;rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective;Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry;Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI;Fetal Body Parts Segmentation Using Volumetric MRI Reconstructions;generative Diffusion Model Bootstraps Zero-Shot Classification of Fetal Ultrasound images in Underrepresented African Populations;semi-supervised three-Dimensional Detection of Congenital Brain Anomalies in First Trimester Ultrasound.

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4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in ...

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4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031808708

the proceedings contain 10 papers. the special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. the topics include: Diabetic Foot Ulcer Unsupervised Segmentation with Vision Transformers Attention;self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation;multi-stage Segmentation of Diabetic Foot Ulcers Using Self-supervised Learning;SSL Based Encoder Pretraining for Segmenting a Heterogeneous Chronic Wound image Database with Few Annotations;multi-scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-supervised Learning;a Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024;CDe: Focus on the Color Differences in Diabetic Foot images;diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods.

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11th international Workshop on Ophthalmic medical image Analysis, OMIA-XI 2024 was held in conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

11th International Workshop on Ophthalmic Medical Image Anal...

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11th international Workshop on Ophthalmic medical image Analysis, OMIA-XI 2024 was held in conjunction with the 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031731181

the proceedings contain 16 papers. the special focus in this conference is on Ophthalmic medical image Analysis. the topics include: VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation;wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging;inter-frame Sclera Vessel Rotation Tracking for Toric Intraocular Lens Implantation Navigation;data Heterogeneity-Aware Personalized Federated Learning for Diagnosis;MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic image Segmentation;Coral-CVDs: A Consistent Ordinal Regression Model for Cardiovascular Diseases Grading;affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography;Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation;advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis;Masked image Modelling for Retinal OCT Understanding;A Dual-Stream Network for Langerhans’ Cells Segmentation in CCM images;formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation;Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust;enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt.

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