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  • Produktbild: Biomedical Image Synthesis and Simulation
  • Produktbild: Biomedical Image Synthesis and Simulation

Biomedical Image Synthesis and Simulation Methods and Applications

Aus der Reihe MICCAI Society book

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.06.2022

Herausgeber

Ninon Burgos + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

676

Maße (L/B/H)

23,5/19,1/3,5 cm

Gewicht

1144 g

Sprache

Englisch

ISBN

978-0-12-824349-7

Beschreibung

Portrait

Ninon Burgos is a CNRS researcher at the Paris Brain Institute, in the ARAMIS Lab, and a fellow of PR[AI]RIE, the Paris Artificial Intelligence Research Institute, France. She completed her PhD at University College London, UK, with a thesis on image synthesis for the attenuation correction and analysis of hybrid positron emission tomography/magnetic resonance imaging data. In 2019, she received the ERCIM Cor Baayen Young Researcher Award. Her research focuses on the processing and analysis of medical images, the use of images to guide the diagnosis of neurological diseases, and the application of these methods to the clinic.
David Svoboda is an associate professor at the Department of visual computing of the Faculty of Informatics, Masaryk University, Brno, Czech Republic. He completed his PhD in computer science with a thesis on segmentation of volumetric histopathological images. He spent a half-year research visit at Manchester Metropolitan University, Manchester, UK, in the signal processing group, where he focused on the problems on edge detection using the statistics-based filtering. Since 2006, he has been with the Centre for Biomedical Image Analysis at Masaryk University. His current research fields include the manipulation of huge image data and the generation of synthetic microscopy image data, both static and time-lapse sequences.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.06.2022

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

676

Maße (L/B/H)

23,5/19,1/3,5 cm

Gewicht

1144 g

Sprache

Englisch

ISBN

978-0-12-824349-7

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  • Produktbild: Biomedical Image Synthesis and Simulation
  • Produktbild: Biomedical Image Synthesis and Simulation
  • 1. Introduction to Medical and Biomedical Image Synthesis
    2. Parametric model-based approaches
    3. Monte Carlo Simulations for Medical and Biomedical Applications
    4. Medical Image Synthesis using Segmentation and Registration
    5. Dictionary Learning for Medical Image Synthesis
    6. Convolutional Neural Networks for Image Synthesis
    7. Generative Adversarial Networks for Medical Image Synthesis
    8. Autoencoders and Variational Autoencoders in Medical Image Analysis
    9. Optimization of the MR Imaging Pipeline Using Simulation
    10. Synthesis for Image Analysis Across Modalities: Application to Registration and Segmentation
    11. Medical Image Harmonization Through Synthesis
    12. Medical Image Super-Resolution With Deep Networks
    13. Medical Image Denoising
    14. Data Augmentation for Medical Image Analysis
    15. Unsupervised Abnormality Detection in Medical Images with Deep Generative Methods
    16. Regularising Disentangled Representations with Anatomical Temporal Consistency
    17. Image Imputation in Cardiac MRI and Quality Assessment
    18. Image Synthesis for Low-count PET Acquisitions: Lower Dose, Shorter Time
    19. PET/MRI attenuation correction
    20. Image Synthesis for MRI-only Radiotherapy Treatment Planning
    21. Review of Cell Image Synthesis for Image Processing
    22. Generative Models for Synthesis of Colorectal Cancer Histology Images
    23. Spatiotemporal Image Generation for Embryomics Applications
    24. Biomolecule Trafficking and Network Tomography-based Simulations
    25. Validation and Evaluation Metrics for Medical and Biomedical Image Synthesis
    26. Uncertainty Quantification in Medical Image Synthesis
    27. Future trends