Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging [E-Book] : 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 / edited by John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij.
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 Intern...
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Personal Name(s): | Baxter, John S. H., editor |
Eagleson, Roy, editor / Hajij, Mustafa, editor / Rekik, Islem, editor / Syeda-Mahmood, Tanveer, editor / Wang, Hongzhi, editor / Zhou, Luping, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
|
Physical Description: |
XVIII, 135 pages 37 illustrations, 32 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031232237 |
DOI: |
10.1007/978-3-031-23223-7 |
Series Title: |
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Lecture Notes in Computer Science ;
13755 |
Subject (LOC): |
- 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.