Ethical and philosophical issues in ...
Baxter, John S. H.

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  • Ethical and philosophical issues in medical imaging, multimodal learning and fusion across scales for clinical decision support, and topological data analysis for biomedical imaging = 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, held in conjunction with MICCAI 2022, Singapore, September 18-22, 2022 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Ethical and philosophical issues in medical imaging, multimodal learning and fusion across scales for clinical decision support, and topological data analysis for biomedical imaging/ edited by John S. H. Baxter ... [et al.].
    Reminder of title: 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, held in conjunction with MICCAI 2022, Singapore, September 18-22, 2022 : proceedings /
    remainder title: EPIMI 2022
    other author: Baxter, John S. H.
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: xviii, 135 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Ethical and Philosophical Issues in Medical Imaging -- Data Poisoning Attack and Defenses in Connectome-based Predictive Models -- Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis -- Separable vs. End-to-End Learning: A critical examination of learning paradigms -- A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools -- User-centered design for surgical innovations: A ventriculostomy case study -- Multimodal Learning and Fusion Across Scales for Clinical Decision Support -- Visually Aware Metadata-guided Supervision for Improved Skin Lesion Classification using Deep Learning -- Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information -- Hybrid Network Based on Cross-modal Feature Fusion for Diagnosis of Alzheimer's Disease -- Topological Data Analysis for Biomedical Imaging -- Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks -- TDA-Clustering Strategies for the Characterization of Brain Organoids -- Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
    Contained By: Springer Nature eBook
    Subject: Diagnostic imaging - Congresses. - Moral and ethical aspects -
    Online resource: https://doi.org/10.1007/978-3-031-23223-7
    ISBN: 9783031232237
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