Ethics and Fairness in Medical Imaging, Kartoniert / Broschiert

Klappentext

FAIMI: Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods.- Dataset Distribution Impacts Model Fairness: Single vs Multi-Task Learning.- AI Fairness in Medical Imaging: Controlling for Disease Severity.- Fair and Private CT Contrast Agent Detection.- Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly.- Fair AI Outcomes Without Sacrificing Group Gains .- All you need is a guiding hand: mitigating shortcut bias in deep learning models for medical imaging.- Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.- Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation.- BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning.- Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data.- Do sites benefit equally from distributed learning in medical image analysis.- Cycle-GANs generated difference maps to interpret race prediction from medical images.- On Biases in a UK Biobank-based Retinal Image Classification Model.- Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors.- EPIMI: Assessing the Impact of Sociotechnical Harms in AI-based Medical Image Analysis.- Practical and Ethical Considerations for Generative AI in Medical Imaging.