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1st Workshop on Topology- and Graph- Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

1st Workshop on Topology- and Graph- Informed Imaging Inform...

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1st Workshop on Topology- and Graph- Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031739668

the proceedings contain 13 papers. the special focus in this conference is on Topology- and Graph- Informed Imaging Informatics. the topics include: TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis;analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology;a Bispectral 3D U-Net for Rotation Robustness in medical Segmentation;restoring Connectivity in Vascular Segmentations Using a Learned Post-processing Model;multi-factor Component Tree Loss Function: A Topology-Preserving Method for Skeleton Segmentation from Bone Scintigrams;exploitation of Mapper Algorithm in Neuroimaging Applications: A Novel Framework for Outcomes Prediction;Topological Data Analysis of Resting-State fMRI Suggests Altered Brain Network Topology in Functional Dyspepsia: A Mapper-Based Parcellation Approach;P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI;Outlier Detection in Large Radiological Datasets Using UMAP;a Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging;topological Analysis of Seizure-Induced Changes in Brain Hierarchy through Effective Connectivity.

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15th international Workshop on Machine Learning in medical Imaging, MLMI 2024 was held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

15th International Workshop on Machine Learning in Medical I...

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15th international Workshop on Machine Learning in medical Imaging, MLMI 2024 was held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031732928

the proceedings contain 63 papers. the special focus in this conference is on Machine Learning in medical Imaging. the topics include: IRUM: An image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound images;Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI;DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography;mitral Regurgitation Recogniton Based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification;Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT images;Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in thoracic CT images;CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression;vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis;corticalEvolve: Age-Conditioned Ordinary Differential Equation Model for Cortical Surface Reconstruction;CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning;atherosclerotic Plaque Stability Prediction from Longitudinal Ultrasound images;Leveraging IHC Staining to Prompt HER2 Status Prediction from HE-Stained Histopathology Whole Slide images;VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains;structural-Connectivity-Guided Functional Connectivity Representation for Multi-modal Brain Disease Classification;Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model;Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction;LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging;7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep Learning;A Probabilistic Hadamard

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15th international Workshop on Computational Diffusion MRI, CDMRI 2024, held in conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

15th International Workshop on Computational Diffusion MRI, ...

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15th international Workshop on Computational Diffusion MRI, CDMRI 2024, held in conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

the proceedings contain 19 papers. the special focus in this conference is on Computational Diffusion MRI. the topics include: Ground-Truth Effects in60;Learning-Based Fiber Orientation Distribution Estimation in&#...

ISBN: (纸本)9783031869198

the proceedings contain 19 papers. the special focus in this conference is on Computational Diffusion MRI. the topics include: Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains;synthesizing 3D Axon Morphology: Springs are All We Need;Randomly COMMITting: Iterative Convex Optimization for Microstructure-Informed Tractography;AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning;multi-dimensional Parameter Space Exploration for Streamline-Specific Tractography;cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction;can Transfer Learning Improve Supervised Segmentation of White Matter Bundles in Glioma Patients?;image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI;QID2: An image-Conditioned Diffusion Model for Q-Space Up-Sampling of DWI Data;Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI;Assessing Early Motor System Degeneration in the Spinal Cord of ALS Patients Using Diffusion MRI: An Exploratory Study;RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation;introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization;Learning Low-Rank Tensor Approximation for GPU-Based Tractography;deep Multivariate Autoencoder for Capturing Complexity in Brain Structure and Behaviour Relationships;heritability and Genetic Correlations Along the Corticospinal Tract;corpus Callosum Parcellation Methods: What Can Tractography Tell Us About them?.

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11th international Workshop on Biomedical image Registration, WBIR 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

11th International Workshop on Biomedical Image Registration...

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11th international Workshop on Biomedical image Registration, WBIR 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

the proceedings contain 28 papers. the special focus in this conference is on Biomedical image Registration. the topics include: Large Deformation Registration with60;A Confidence-Guided Network;unleashing Registra...

ISBN: (纸本)9783031734793

the proceedings contain 28 papers. the special focus in this conference is on Biomedical image Registration. the topics include: Large Deformation Registration with A Confidence-Guided Network;unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data;feedback Attention for Unsupervised Cardiac Motion Estimation in 3D Echocardiography;learning Deformable Intra-Patient Liver Registration with Graph Cross-Attention;mamba? Catch the Hype Or Rethink What Really Helps for image Registration;assessing the Robustness of image Registration Models Under Domain Shifts with Learnable Input images;challenging the Robustness of image Registration Similarity Metrics with Adversarial Attacks;Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping;a Learning-Free Approach to Mitigate Abnormal Deformations in medical image Registration;Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis;SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation;A Novel Fusion of CT/MRI and US images Based on Depth Camera and Electromagnetic Tracking;deep Learning Multi-channel Structural and Diffusion Tensor Neonatal image Registration;registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration;Diffusion Model-Based Hierarchical Registration of Whole-Body PET/CT images;unsupervised Similarity Learning for image Registration with Energy-Based Models;Segmentation by Registration-Enabled SAM Prompt Engineering Using Five Reference images;electron Microscopy image Registration with Twin Axial Transformer and Progressive Training;general Vision Encoder Features as Guidance in medical image Registration;rigid Single-Slice-in-Volume Registration via Rotation-Equivariant 2D/3D Feature Matching;a Self-supervised image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer;CAR: Contrast-Agnostic Deformable medical

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11th Workshop on Clinical image-Based Procedures, CLIP 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

11th Workshop on Clinical Image-Based Procedures, CLIP 2022,...

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11th Workshop on Clinical image-Based Procedures, CLIP 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

the proceedings contain 9 papers. the special focus in this conference is on Clinical image-Based Procedures. the topics include: Machine Learning Based Approach for60;Motion Detection and60;Estimation in60;R...

ISBN: (纸本)9783031231780

the proceedings contain 9 papers. the special focus in this conference is on Clinical image-Based Procedures. the topics include: Machine Learning Based Approach for Motion Detection and Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging;automatic Landmark Identification on IntraOralScans;STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation;convolutional Redistribution Network for Multi-view medical image Diagnosis;feature Patch Based Attention Model for Dental Caries Classification;Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition;preface.

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3rd international Workshop on Applications of medical Artificial Intelligence, AMAI 2024 held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

3rd International Workshop on Applications of Medical Artifi...

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3rd international Workshop on Applications of medical Artificial Intelligence, AMAI 2024 held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031820069

the proceedings contain 24 papers. the special focus in this conference is on Applications of medical Artificial Intelligence. the topics include: SP-NAS: Surgical Phase Recognition-Based Navigation Adjustment System for Distal Gastrectomy;transforming Multimodal Models into Action Models for Radiotherapy;enhanced Interpretability in Histopathological images via Combined Tissue and Cell-Level Graph Analysis;targeted Visual Prompting for medical Visual Question Answering;deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver;predicting Falls through Muscle Weakness from a Single Whole Body image: A Multimodal Contrastive Learning Framework;Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools;source Matters: Source Dataset Impact on Model Robustness in medical Imaging;evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-automated Classification and Detection of Community Acquired Pneumonia;incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts;assessing Generalization Capabilities of Malaria Diagnostic Models from thin Blood Smears;automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery;quantifying Knee Cartilage Shape and Lesion: From image to Metrics;RadimageGAN – A Multi-modal Dataset-Scale Generative AI for medical Imaging;Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls;SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury;EHRmonize: A Framework for medical Concept Abstraction from Electronic Health Records using Large Language Models;evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual thinking;normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer’s Disease Diagnosis and Biomarker Identification;one-Shot medical

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3rd international Workshop on Cancer Prevention, detection and intervention, CaPTion 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

3rd International Workshop on Cancer Prevention, detection a...

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3rd international Workshop on Cancer Prevention, detection and intervention, CaPTion 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031733758

the proceedings contain 22 papers. the special focus in this conference is on Cancer Prevention, detection and intervention. the topics include: Classification of Endoscopy and Video Capsule images Using CNN-Transformer Model;multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases;seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings;performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification;on Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems;optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett’s Neoplasia;Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning;Refining Deep Learning Segmentation Maps with a Local thresholding Approach: Application to Liver Surface Nodularity Quantification in CT;Uncertainty-Aware Deep Learning Classification for MRI-Based Prostate Cancer Detection;Generalized Polyp Detection from Colonoscopy Frames Using Proposed EDF-YOLO8 Network;AI-assisted Laryngeal Examination System;UltraWeak: Enhancing Breast Ultrasound Cancer Detection with Deformable DETR and Weak Supervision;SelectiveKD: A Semi-supervised Framework for Cancer Detection in DBT through Knowledge Distillation and Pseudo-labeling;AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients;deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery;treatment Efficacy Prediction of Focused Ultrasound therapies Using Multi-parametric Magnetic Resonance Imaging;SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis;improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations;autoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy

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1st Challenge on Segmentation of the Aorta, SEG.A. 2023 which was held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

1st Challenge on Segmentation of the Aorta, SEG.A. 2023 whic...

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1st Challenge on Segmentation of the Aorta, SEG.A. 2023 which was held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031532405

the proceedings contain 11 papers. the special focus in this conference is on Challenge on Segmentation of the Aorta. the topics include: M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography;Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge;A Data-Centric Approach for Segmenting the Aortic Vessel Tree: A Solution to SEG.A. Challenge 2023 Segmentation Task;Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge;position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation;misclassification Loss for Segmentation of the Aortic Vessel Tree;Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA images;RASNet: U-Net-Based Robust Aortic Segmentation Network for Multicenter Datasets;optimizing Aortic Segmentation with an Innovative Quality Assessment: the Role of Global Sensitivity Analysis.

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1st MICCAI Challenge Comprehensive Analysis and computing of Real-World medical images, CARE 2024 Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

1st MICCAI Challenge Comprehensive Analysis and Computing of...

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1st MICCAI Challenge Comprehensive Analysis and computing of Real-World medical images, CARE 2024 Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031870088

the proceedings contain 23 papers. the special focus in this conference is on Comprehensive Analysis and computing of Real-World medical images. the topics include: Preserving Cardiac Integrity: A Topology-Infused Approach to Whole Heart Segmentation;domain Generalization in Myocardial Pathology Segmentation with MixUp Augmentation;domain Generalized Myocardial Pathology Segmentation via Data Statistics Modeling and Feature Covariance Alignment;two-Stage Weighted Ensemble Method for Myocardial Edema and Scar Segmentation;ME-UNet: Enhancing Mamba for Myocardial Pathology Segmentation in Multi-center Multi-sequence CMR images;RGU-Mamba: An U-Mamba Network with Region-Based Training Optimized for Domain Generalization Applied to Myocardial Scar and Edema Segmentation;computing Assessment for Liver Fibrosis Staging Using Real-World MR images;Improved nn-UNet: Generalizable Multi-scale Attention-Driven Segmentation of Multi-sequence Myocardial Pathology;multi-model Ensemble and Region Specific Normalization for Myocardial Pathology Segmentation with Partial Modalities;multi-task Framework for Myocardial Pathological Segmentation on Multi-sequence Cardiac Magnetic Resonance;enhance Multi-modal and Multi-center Whole Heart Segmentation Using Data Augmentation and Model Calibration;A Left Atrial Automatic Segmentation Based on ResCAUNet;Left Atrial Scar Segmentation and Quantification Using Residual CBAM-EAM Attention UNet for LGE MRI;efficient Multi-Modal Whole Heart Segmentation via Cascaded U-Net: A Practical Solution for Clinical Settings;augmentation-Based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation;LA-CaRe-CNN: Cascading Refinement CNN for Left Atrial Scar Segmentation;Progressive Multi-channel Fusion Network for Myocardial Pathology Segmentation on Multi-modality CMR images;KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for medical images Segmentation;A Two-Stage Self-Supervised Learning Framework for Automate

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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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