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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning

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Cover of 'Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning'

Table of Contents

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    Book Overview
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    Chapter 1 $$\alpha $$ -UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation
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    Chapter 2 DAPR-Net: Domain Adaptive Predicting-Refinement Network for Retinal Vessel Segmentation
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    Chapter 3 Augmented Radiology: Patient-Wise Feature Transfer Model for Glioma Grading
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    Chapter 4 Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data
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    Chapter 5 Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps
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    Chapter 6 Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space
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    Chapter 7 Semi-supervised Pathology Segmentation with Disentangled Representations
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    Chapter 8 Domain Generalizer: A Few-Shot Meta Learning Framework for Domain Generalization in Medical Imaging
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    Chapter 9 Parts2Whole: Self-supervised Contrastive Learning via Reconstruction
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    Chapter 10 Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning
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    Chapter 11 Continual Class Incremental Learning for CT Thoracic Segmentation
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    Chapter 12 First U-Net Layers Contain More Domain Specific Information Than the Last Ones
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    Chapter 13 Siloed Federated Learning for Multi-centric Histopathology Datasets
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    Chapter 14 On the Fairness of Privacy-Preserving Representations in Medical Applications
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    Chapter 15 Inverse Distance Aggregation for Federated Learning with Non-IID Data
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    Chapter 16 Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning
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    Chapter 17 Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers
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    Chapter 18 Federated Learning for Breast Density Classification: A Real-World Implementation
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    Chapter 19 Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
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    Chapter 20 Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare
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Title
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Published by
Springer International Publishing, November 2020
DOI 10.1007/978-3-030-60548-3
ISBNs
978-3-03-060547-6, 978-3-03-060548-3
Editors

Albarqouni, Shadi, Bakas, Spyridon, Kamnitsas, Konstantinos, Cardoso, M. Jorge, Landman, Bennett, Li, Wenqi, Milletari, Fausto, Rieke, Nicola, Roth, Holger, Xu, Daguang, Xu, Ziyue

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