rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
    sub title: 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V
  name:
    name part: de Bruijne, Marleen.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Cattin, Philippe C.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Cotin, Stéphane.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Padoy, Nicolas.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Speidel, Stefanie.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Zheng, Yefeng.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Essert, Caroline.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXXVIII, 839 pages 25 illustrations)
  abstract: The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *…
  table of contents: Computer Aided Diagnosis -- DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search -- Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference -- CA-Net: Leveraging Contextual Features for Lung Cancer Prediction -- Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images -- DAE-GCN: Identifying Disease-Related Features for Disease Prediction -- Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation -- Multiple Meta-model Quantifying for Medical Visual Question Answering -- mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network -- You Only Learn Once: Universal Anatomical Landmark Detection -- A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification -- Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions -- A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels -- Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images -- Conditional Training with Bounding Map for Universal Lesion Detection -- Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification -- Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification -- Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI -- Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss -- Airway Anomaly Detection by Graph Neural Network -- Energy-Based Supervised Hashing for Multimorbidity Image Retrieval -- Stochastic 4D Flow Vector-Field Signatures: A new approach for compr…
  note: edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert.
  subject:
    topic: Optical data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Bioinformatics
  subject:
    topic: Pattern recognition
  subject:
    topic: Health informatics
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Pattern Recognition
  subject:
    topic: Health Informatics
  classification: TA1630-1650
  classification: 006.6
  classification: 006.37
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12905
  identifier: 9783030872403
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210923
    record change date: 20230330185113.2
    record identifier: in00004416521