Ethics and Fairness in Medical Imaging Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings /

This book constitutes the refereed proceedings of the Second International Workshop, FAIMI 2024, and the Third International Workshop, EPIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, in October 2024. The 17 full papers presented in this book were carefully reviewed and selected...

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Kaituhi rangatōpū:	SpringerLink (Online service)
Ētahi atu kaituhi:	Puyol-Antón, Esther (Editor), Zamzmi, Ghada (Editor), Feragen, Aasa (Editor), King, Andrew P. (Editor), Cheplygina, Veronika (Editor), Ganz-Benjaminsen, Melanie (Editor), Ferrante, Enzo (Editor), Glocker, Ben (Editor), Petersen, Eike (Editor), Baxter, John S. H. (Editor), Rekik, Islem (Editor), Eagleson, Roy (Editor)
Hōputu:	Tāhiko īPukapuka
Reo:	Ingarihi
I whakaputaina:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Putanga:	1st ed. 2025.
Rangatū:	Lecture Notes in Computer Science, 15198
Ngā marau:	Computer vision. Machine learning. Artificial intelligence. Computer networks . Information technology > Management. Computer Vision. Machine Learning. Artificial Intelligence. Computer Communication Networks. Computer Application in Administrative Data Processing.
Urunga tuihono:	https://doi.org/10.1007/978-3-031-72787-0
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Rārangi ihirangi:

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.

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