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检索条件"任意字段=5th International Conference on Medical Image Computing and Computer-Assisted Intervention"

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4th international Workshop on Simulation and Synthesis in medical Imaging, SASHIMI 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

4th International Workshop on Simulation and Synthesis in Me...

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4th international Workshop on Simulation and Synthesis in medical Imaging, SASHIMI 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

ISBN: (纸本)9783030327774

the proceedings contain 16 papers. the special focus in this conference is on international Workshop on Simulation and Synthesis in medical Imaging, held in conjunction with the international conference on medical image computing and computer assisted intervention. the topics include: Physics-informed brain MRI segmentation;3D medical image synthesis by factorised representation and deformable model learning;cycle-consistent training for reducing negative jacobian determinant in deep registration networks;ISMORE: An iterative self super-resolution algorithm;an optical model of whole blood for detecting platelets in lens-free images;Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network;Improved MR to CT synthesis for pet/mr attenuation correction using imitation learning;Unpaired multi-contrast MR image synthesis using generative adversarial networks;unsupervised retina image synthesis via disentangled representation learning;Pseudo-normal PET synthesis with generative adversarial networks for localising hypometabolism in epilepsies;breast mass detection in mammograms via blending adversarial learning;Tunable CT lung nodule synthesis conditioned on background image and semantic features;mask2Lesion: Mask-constrained adversarial skin lesion image synthesis;towards annotation-free segmentation of fluorescently labeled cell membranes in confocal microscopy images.

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5th international Workshop on Computational Methods for Molecular Imaging, CMMI 2017, 2nd international Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017 and 1st international Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 held in Conjunction with 20th international conference on medical image computing and computer assisted intervention, MICCAI 2017

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5th international Workshop on Computational Methods for Molecular Imaging, CMMI 2017, 2nd international Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017 and 1st international Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 held in Conjunction with 20th international conference on medical image computing and computer assisted intervention, MICCAI 2017

ISBN: (纸本)9783319675633

the proceedings contain 18 papers. the special focus in this conference is on Computational Methods for Molecular Imaging. the topics include: Individual analysis of molecular brain imaging data through automatic identification of abnormality patterns;3D alpha matting based co-segmentation of tumors on PET-CT images;dynamic respiratory motion estimation using patch-based kernel-PCA priors for lung cancer radiotherapy;mass transportation for deformable image registration with application to lung ct;motion-robust spatially constrained parameter estimation in renal diffusion weighted MRI by 3D motion tracking and correction of sequential slices;semi-automatic cardiac and respiratory gated MRI for cardiac assessment during exercise;freehand ultrasound image simulation with spatially-conditioned generative adversarial networks;context-sensitive super-resolution for fast fetal magnetic resonance imaging;reconstruction of 3D cardiac MR images from 2D slices using directional total variation;automated ventricular system segmentation in CT images of deformed brains due to ischemic and subarachnoid hemorrhagic stroke;towards automatic collateral circulation score evaluation in ischemic stroke using image decompositions and support vector machines;the effect of non-contrast ct slice thickness on thrombus density and perviousness assessment.

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2nd international Workshop on Interpretability of Machine Intelligence in medical image computing, iMIMIC 2019, and the 9th international Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd international conference on medical Imaging and computer-assisted intervention, MICCAI 2019

2nd International Workshop on Interpretability of Machine In...

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2nd international Workshop on Interpretability of Machine Intelligence in medical image computing, iMIMIC 2019, and the 9th international Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd international conference on medical Imaging and computer-assisted intervention, MICCAI 2019

ISBN: (纸本)9783030338497

the proceedings contain 10 papers. the special focus in this conference is on Interpretability of Machine Intelligence in medical image computing. the topics include: Automated enriched medical concept generation for chest X-ray images;UBS: A dimension-agnostic metric for concept vector interpretability applied to radiomics;generation of multimodal justification using visual word constraint model for explainable computer-aided diagnosis;Incorporating task-specific structural knowledge into CNNs for brain midline shift detection;guideline-based additive explanation for computer-aided diagnosis of lung nodules;deep neural network or dermatologist?;towards interpretability of segmentation networks by analyzing deepDreams;towards automatic diagnosis from multi-modal medical data;deep learning based multi-modal registration for retinal imaging.

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1st international Workshop on Machine Learning and medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the 8th international Joint Workshops on computing and Visualization for Intravascular Imaging and computer assisted Stenting, CVII-STENT 2019, held in conjunction with 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

1st International Workshop on Machine Learning and Medical E...

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1st international Workshop on Machine Learning and medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the 8th international Joint Workshops on computing and Visualization for Intravascular Imaging and computer assisted Stenting, CVII-STENT 2019, held in conjunction with 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

ISBN: (纸本)9783030333263

the proceedings contain 24 papers. the special focus in this conference is on international Workshop on Machine Learning and medical Engineering for Cardiovasvular Healthcare, and the international Joint Workshops on computing and Visualization for Intravascular Imaging and computer assisted Stenting, held in conjunction with international conference on medical image computing and computer assisted intervention. the topics include: Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography;tracking of Intracavitary Instrument Markers in Coronary Angiography images;abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with images Generated with a Synthetic Shape Model;A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs;random 2.5D U-net for Fully 3D Segmentation;towards Quantifying Neurovascular Resilience;the Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study;ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes;Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans;LabelECG: A Web-Based Tool for Distributed Electrocardiogram Annotation;deep Learning to Improve Heart Disease Risk Prediction;Automatic Detection of ECG Abnormalities by Using an Ensemble of Deep Residual Networks with Attention;Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points;Arrhythmia Classification with Attention-Based Res-BiLSTM-Net;preface;Multi-label Classification of Abnormalities in 12-Lead ECG Using 1D CNN and LSTM;particle Swarm Optimization for Great Enhancement in Semi-supervised Retinal Vessel Segmentation with Generative Adversarial Networks;mlmech-miccai 2019 preface;an Approach to Predict Multiple Cardiac Diseases.

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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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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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10th international Workshop on Machine Learning in medical Imaging, MLMI 2019 held in conjunction with the 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

10th International Workshop on Machine Learning in Medical I...

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10th international Workshop on Machine Learning in medical Imaging, MLMI 2019 held in conjunction with the 22nd international conference on medical image computing and computer-assisted intervention, MICCAI 2019

ISBN: (纸本)9783030326913

the proceedings contain 78 papers. the special focus in this conference is on international Workshop on Machine Learning in medical Imaging, held in conjunction with the international conference on medical image computing and computer-assisted intervention. the topics include: GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic images;deep Active Lesion Segmentation;infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning;a Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification;end-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation;privacy-Preserving Federated Brain Tumour Segmentation;residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology images;semi-supervised Multi-task Learning with Chest X-Ray images;Novel Bi-directional images Synthesis Based on WGAN-GP with GMM-Based Noise Generation;spatial Regularized Classification Network for Spinal Dislocation Diagnosis;pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus;Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound images;end-to-End Boundary Aware Networks for medical image Segmentation;Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks;Morphological Simplification of Brain MR images by Deep Learning for Facilitating Deformable Registration;Joint Shape Representation and Classification for Detecting PDAC;FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans;ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks;weakly Supervised Segmentation by a Deep Geodesic Prior;correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps;globally-Aware Multiple Instance Classifier for Breast Ca

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4th international MICCAI Brainlesion Workshop, BrainLes 2018 held in conjunction with the medical image computing for computer assisted intervention conference, MICCAI 2018

4th International MICCAI Brainlesion Workshop, BrainLes 2018...

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4th international MICCAI Brainlesion Workshop, BrainLes 2018 held in conjunction with the medical image computing for computer assisted intervention conference, MICCAI 2018

ISBN: (纸本)9783030117252

the proceedings contain 92 papers. the special focus in this conference is on MICCAI Brainlesion. the topics include: Segmentation of post-operative glioblastoma in MRI by U-net with patient-specific interactive refinement;Characterizing peritumoral tissue using DTI-based free water elimination;Deep 2D encoder-decoder convolutional neural network for multiple sclerosis lesion segmentation in brain MRI;shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis;detection of midline brain abnormalities using convolutional neural networks;Deep autoencoding models for unsupervised anomaly segmentation in brain MR images;Brain tumor detection and classification from multi-sequence MRI: study using convnets;Voxel-wise comparison with a-contrario analysis for automated segmentation of multiple sclerosis lesions from multimodal MRI;a graph based similarity measure for assessing altered connectivity in traumatic brain injury;CT brain perfusion: A clinical perspective;multi-scale convolutional-stack aggregation for robust white matter hyperintensities segmentation;holistic brain tumor screening and classification based on densenet and recurrent neural network;3D texture feature learning for noninvasive estimation of gliomas pathological subtype;pathology segmentation using distributional differences to images of healthy origin;multi-stage association analysis of glioblastoma gene expressions with texture and spatial patterns;Stroke lesion segmentation with 2D novel CNN pipeline and novel loss function;Contra-lateral information CNN for core lesion segmentation based on native CTP in acute stroke;dense multi-path u-net for ischemic stroke lesion segmentation in multiple image modalities;Multi-scale deep convolutional neural network for stroke lesions segmentation on CT images;ischemic stroke lesion segmentation using adversarial learning.

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4th international MICCAI Brainlesion Workshop, BrainLes 2018 held in conjunction with the medical image computing for computer assisted intervention conference, MICCAI 2018

4th International MICCAI Brainlesion Workshop, BrainLes 2018...

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4th international MICCAI Brainlesion Workshop, BrainLes 2018 held in conjunction with the medical image computing for computer assisted intervention conference, MICCAI 2018

ISBN: (纸本)9783030117221

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5th international Workshop on Clinical image-Based Procedures, CLIP 2016 held in conjunction with 19th international conference on medical image computing and computer-assisted intervention, MICCAI 2016

5th International Workshop on Clinical Image-Based Procedure...

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5th international Workshop on Clinical image-Based Procedures, CLIP 2016 held in conjunction with 19th international conference on medical image computing and computer-assisted intervention, MICCAI 2016

ISBN: (纸本)9783319464718

the proceedings contain 10 papers. the special focus in this conference is on Clinical image-Based Procedures, medical image computing and computer-assisted intervention. the topics include: Detection of wrist fractures in X-Ray images, performance metrics for visual registration, instrument guidance, and image fusion;stable anatomical structure tracking for video-bronchoscopy navigation;uncertainty quantification of cochlear implant insertion from CT images;validation of an improved patient-specific mold design for registration of in-vivo MRI and Histology of the prostate;trajectory smoothing for guiding aortic valve delivery with transapical access;geodesic registration for cervical cancer radiotherapy;personalized optimal planning for the surgical correction of metopic craniosynostosis;towards a statistical shape-aware deformable contour model for cranial nerve identification and an automatic free fluid detection for Morrison’s-pouch.

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