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Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging

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Cover of 'Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging
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    Chapter 2 Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors
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    Chapter 3 Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative Planning
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    Chapter 4 Towards Fine-Grained Polyp Segmentation and Classification
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    Chapter 5 Automated Orientation and Registration of Cone-Beam Computed Tomography Scans
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    Chapter 6 Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation
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    Chapter 7 Uncertainty Based Border-Aware Segmentation Network for Deep Caries
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    Chapter 8 An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images
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    Chapter 9 De-identification and Obfuscation of Gender Attributes from Retinal Scans
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    Chapter 10 Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
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    Chapter 11 Brain Matters: Exploring Bias in AI for Neuroimaging Research
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    Chapter 12 Bias in Unsupervised Anomaly Detection in Brain MRI
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    Chapter 13 Towards Unraveling Calibration Biases in Medical Image Analysis
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    Chapter 14 Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?
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    Chapter 15 Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task
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    Chapter 16 Mitigating Bias in MRI-Based Alzheimer’s Disease Classifiers Through Pruning of Deep Neural Networks
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    Chapter 17 Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer’s Disease
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    Chapter 18 Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations
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    Chapter 19 Analysing Race and Sex Bias in Brain Age Prediction
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    Chapter 20 Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging
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    Chapter 21 An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation
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    Chapter 22 An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features
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    Chapter 23 How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis
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    Chapter 24 Revisiting Skin Tone Fairness in Dermatological Lesion Classification
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    Chapter 25 A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes
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    Chapter 26 Unsupervised Bias Discovery in Medical Image Segmentation
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    Chapter 27 Debiasing Counterfactuals in the Presence of Spurious Correlations
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    Chapter 28 On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity
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    Chapter 29 Gradient-Based Enhancement Attacks in Biomedical Machine Learning
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Title
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-45249-9
ISBNs
978-3-03-145248-2, 978-3-03-145249-9
Editors

Wesarg, Stefan, Puyol Antón, Esther, Baxter, John S. H., Erdt, Marius, Drechsler, Klaus, Oyarzun Laura, Cristina, Freiman, Moti, Chen, Yufei, Rekik, Islem, Eagleson, Roy, Feragen, Aasa, King, Andrew P., Cheplygina, Veronika, Ganz-Benjaminsen, Melani, Ferrante, Enzo, Glocker, Ben, Moyer, Daniel, Petersen, Eikel

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