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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 [electronic resource] : 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 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 13755Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XVIII, 135 p. 37 illus., 32 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031232237
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006 23
LOC classification:
  • TA1501-1820
  • TA1634
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science.
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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.

This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science.

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