Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I /
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented w...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
11764 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Optical Imaging
- Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Trials
- A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image
- Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning
- Retinal Abnormalities Recognition Using Regional Multitask Learning
- Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
- Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
- 3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis
- Limited-Angle Diffuse Optical Tomography Image Reconstruction using Deep Learning
- Data-driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks
- Dual Encoding U-Net for Retinal Vessel Segmentation
- A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation
- Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
- Unsupervised Ensemble Strategy for Retinal Vessel Segmentation
- Fully convolutional boundary regression for retina OCT segmentation
- PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation
- Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging
- Task Adaptive Metric Space for Medium-Shot Medical Image Classification
- Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
- Deep Multi Label Classification in Affine Subspaces
- Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss
- A Divide-and-Conquer Approach towards Understanding Deep Networks
- Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
- Active Appearance Model Induced Generative Adversarial Networks for Controlled Data Augmentation
- Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network
- Probabilistic Atlases to Enforce Topological Constraints
- Synapse-Aware Skeleton Generation for Neural Circuits
- Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation
- EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast
- Fused Detection of Retinal Biomarkers in OCT Volumes
- Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision
- Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction in vivo
- Uncertainty guided semisupervised segmentation of retinal layers in OCT images
- Endoscopy
- Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
- Selective Feature Aggregation Network with Area-boundary Constraints for Polyp Segmentation
- Deep Sequential Mosaicking of Fetoscopic Videos
- Landmark-guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection
- Multi-View Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis
- Real-time Surface Deformation Recovery from Stereo Videos
- Microscopy
- Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier
- From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification
- Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes
- Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss
- Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
- Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate
- Accelerated ML-assisted Tumor Detection in High-Resolution Histopathology Images
- Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype
- Pathology-aware deep network visualization and its application in glaucoma image synthesis
- CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
- ET-Net: A Generic Edge-Attention Guidance Network for Medical Image Segmentation
- Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
- Diverse Multiple Prediction on Neural Image Reconstruction
- Deep Segmentation-Emendation Model for Gland Instance Segmentation
- Fast and Accurate Electron Microscopy Image Registration with 3D Convolution
- PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning
- Deep Multi-Instance Learning for survival prediction from Whole Slide Images
- High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions
- Deep Instance-Level Hard Negative Mining Model for Histopathology Images
- Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells
- Patch Transformer for Multi-tagging Whole Slide Histopathology Images
- Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations
- Encoding histopathological WSIs using GNN for scalable diagnostically relevant regions retrieval
- Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification
- Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
- Precise Separation of Adjacent Nuclei using a Siamese Neural Network
- PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
- DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
- Unsupervised Subtyping of Cholangiocarcinoma Using A Deep Clustering Convolutional Autoencoder
- Evidence Localization for Pathology Images using Weakly Supervised Learning
- Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework
- GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy
- IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
- Weakly Supervised Cell Segmentation in Dense by Propagating from Detection Map
- Understanding Fixation in Fluorescence Microscopy via Robust Non-negative Tensor Factorization, Atlas-based Motion Correction and Functional Statistics
- ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection, and Cell Classification in Multiplex Immunohistochemistry Images
- Multi-task learning of a deep K-nearest neighbour network for histopathological image classification and retrieval
- Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy images
- Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images
- Nuclei Segmentation in Histopathological Images using Two-Stage Learning
- ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths
- CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
- PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
- Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification
- Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images
- Whole-Sample Mapping of Cancerous and Benign Tissue Properties
- Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
- Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography
- DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning
- Attention Guided Network for Retinal Image Segmentation
- An unsupervised domain adaptation approach to classification of stem cell-derived cardiomyocytes.
