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Predictive Intelligence in Medicine Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

This book constitutes the proceedings of the Third International Workshop on Predictive Intelligence in Medicine, PRIME 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 pandemic. The 17 full and 2 short papers presented i...

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Bibliographic Details
Other Authors: Rekik, Islem (Editor), Adeli, Ehsan (Editor), Park, Sang Hyun (Editor), Valdés Hernández, Maria del C. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subjects:
Image Processing / Digital Techniques
Computer Vision
Artificial Intelligence
Computers
Application Software
Computer Networks 
Computer Imaging, Vision, Pattern Recognition And Graphics
Computer Engineering And Networks
Computer Engineering
Computer And Information Systems Applications
Computing Milieux
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Context-Aware Synergetic Multiplex Network for Multi-Organ Segmentation of Cervical Cancer MRI
  • Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
  • Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping
  • Learned deep radiomics for survival analysis with attention
  • Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
  • Joint Clinical Data and CT Image based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction
  • Low-Dose CT Denoising using Octave Convolution with High and Low Frequency bands
  • Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases
  • Inpainting Cropped Diffusion MRI using Deep Generative Models
  • Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification
  • Foreseeing Brain Graph EvolutionOver Time Using Deep Adversarial Network Normalizer
  • Longitudinal prediction of anatomical changes of parotid glands
  • Deep Parametric Mixtures for Modeling the Functional Connectome
  • Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint
  • Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction
  • mr2 NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography
  • Template-oriented Multi-task Sparse Low-rank Learning for Parkinson's Diseases Diagnosis
  • Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment

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