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检索条件"任意字段=6th International Conference on Medical Imaging 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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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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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

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 and60;Unified Learning Method for60;Breast Can...

ISBN: (纸本)9783031732836

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 Machine Learning in Medical I...

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ISBN: (纸本)9783031732928

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9th international Skin imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of Machine Intelligence in medical Image computing, iMIMIC 2024, Embodied AI and Robotics for Healthcare Workshop, EARth 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated Learning, DeCaF 2024 held at 27th international conference on medical Image computing and computer assisted intervention, MICCAI 2024

9th International Skin Imaging Collaboration Workshop, ISIC ...

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9th international Skin imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of Machine Intelligence in medical Image computing, iMIMIC 2024, Embodied AI and Robotics for Healthcare Workshop, EARth 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated Learning, DeCaF 2024 held at 27th international conference on medical Image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031776090

the proceedings contain 23 papers. the special focus in this conference is on Skin imaging Collaboration, Interpretability of Machine Intelligence in medical Image computing, Embodied AI and Robotics for Healthcare Workshop and MICCAI Workshop on Distributed, Collaborative and Federated Learning. the topics include: DeCaF 2024 Preface;i2M2Net: Inter/Intra-modal Feature Masking Self-distillation for Incomplete Multimodal Skin Lesion Diagnosis;from Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis;segmentation Style Discovery: Application to Skin Lesion Images;a Vision Transformer with Adaptive Cross-Image and Cross-Resolution Attention;lesion Elevation Prediction from Skin Images Improves Diagnosis;DWARF: Disease-Weighted Network for Attention Map Refinement;PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans;Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data;interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis;TextCAVs: Debugging Vision Models Using Text;evaluating Visual Explanations of Attention Maps for Transformer-Based medical imaging;Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI;EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting;VISAGE: Video Synthesis Using Action Graphs for Surgery;a Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery;SurgTrack: CAD-Free 3D Tracking of Real-World Surgical Instruments;MUTUAL: Towards Holistic Sensing and Inference in the Operating Room;Complex-Valued Federated Learning with Differential Privacy and MRI Applications;enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications;federated Impression for Learning with Distributed Heterogeneous Data;A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation;probing the Effic

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9th international Workshop on Simulation and Synthesis in medical imaging, SASHIMI 2024, held in conjunction with the 27th international conference on medical Image computing and computer-assisted intervention, MICCAI 2024

9th International Workshop on Simulation and Synthesis in Me...

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9th international Workshop on Simulation and Synthesis in medical imaging, SASHIMI 2024, held in conjunction with the 27th international conference on medical Image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031732805

the proceedings contain 19 papers. the special focus in this conference is on Simulation and Synthesis in medical imaging. the topics include: Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and medical Image Inpainting;Beyond MR Image Harmonization: Resolution Matters Too;benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data;a Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage;TSynD: Targeted Synthetic Data Generation for Enhanced medical Image Classification: Leveraging Epistemic Uncertainty to Improve Model Performance;beyond Intensity Transforms: medical Image Synthesis Under Large Deformation;sim2Real in Endoscopy Segmentation with a Novel Structure Aware Image Translation;fireflies: Photorealistic Simulation and Optimization of Structured Light Endoscopy;exogenous Agent-Free Synthetic Post-contrast imaging with a Cascade of Deep Networks for Enhancement Prediction After Tumor Resection. A Parametric-Map Oriented Approach;OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches;enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-Ray Image;latent Pollution Model: the Hidden Carbon Footprint in 3D Image Synthesis;Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks;MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI;Using MR Physics for Domain Generalisation and Super-Resolution;Single-Scan mpMRI Calibration of Multi-species Brain Tumor Dynamics with Mass Effect;annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields.

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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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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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