Machine learning in medical imaging ...
MLMI (Workshop) (2022 :)

FindBook      Google Book      Amazon      博客來     
  • Machine learning in medical imaging = 13th International Workshop, MLMI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Machine learning in medical imaging/ edited by Chunfeng Lian ... [et al.].
    其他題名: 13th International Workshop, MLMI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
    其他題名: MLMI 2022
    其他作者: Lian, Chunfeng.
    團體作者: MLMI (Workshop)
    出版者: Cham :Springer Nature Switzerland : : 2022.,
    面頁冊數: xiii, 479 p. :ill., digital ;24 cm.
    內容註: Function MRI Representation Learning via Self-Supervised Transformer for Automated Brain Disorder Analysis -- Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images using Deep Learning -- Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction -- Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation -- Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN -- 3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient -- A More Design-flexible Medical Transformer for Volumetric Image Segmentation -- Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System -- Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping -- A Coarse-To-Fine Network for Craniopharyngioma Segmentation -- Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring -- AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine -- Memory transformers for full context and high-resolution 3D Medical Segmentation -- Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification -- Cross Task Temporal Consistency for Semi Supervised Medical Image Segmentation -- U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration -- UNet-eVAE: Iterative refinement using VAE embodied learning for endoscopic image segmentation -- Dynamic Linear Transformer for 3D Biomedical Image Segmentation -- Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-stream Fully Convolutional Neural Network -- A Novel Two-Stage Multi-View Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship between Brain Function and Structure -- Fast Image-Level MRI Harmonization via Spectrum Analysis -- CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification -- Harmonization of Multi-Site Cortical Data Across the Human Lifespan -- Head and neck vessel segmentation with connective topology using affinity graph -- Coarse Retinal Lesion Annotations Refinement via Prototypical Learning -- Nuclear Segmentation and Classification: On Color & Compression Generalization -- Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI -- ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition -- Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition -- Driving Points Prediction For Abdominal Probabilistic Registration -- CircleSnake: Instance Segmentation with Circle Representation -- Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle -- Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT -- AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs -- Neural State-Space Modeling with Latent Causal-Effect Disentanglement -- Adaptive Unified Contrastive Learning for Imbalanced Classification -- Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer based on 18F-FDG PET/CT -- TransWS: Transformer-based Weakly Supervised Histology Image Segmentation -- Contextual Attention Network: Transformer Meets U-Net -- Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis -- A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages -- Spherical Transformer on Cortical Surfaces -- Accurate localization of inner ear regions of interests using deep reinforcement learning -- Shifted Windows Transformers for Medical Image Quality Assessment -- Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-angle Glaucoma Prediction -- HealNet - Self-Supervised Acute Wound Heal-Stage Classification -- Federated Tumor Segmentation with Patch-wise Deep Learning Model -- Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-21014-3
    ISBN: 9783031210143
館藏地:  出版年:  卷號: 
館藏
  • 1 筆 • 頁數 1 •
  • 1 筆 • 頁數 1 •
多媒體
評論
Export
取書館
 
 
變更密碼
登入