Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging

1. Front Matter

   Pages i-xviii

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2. Ethical and Philosophical Issues in Medical Imaging

   1. Front Matter

      Pages 1-1

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   2. Data Poisoning Attack and Defenses in Connectome-Based Predictive Models

      • Matthew Rosenblatt, Dustin Scheinost

      Pages 3-13

   3. Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis

      • Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert

      Pages 14-25

   4. Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms

      • John S. H. Baxter

      Pages 26-37

   5. A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools

      • Mohamed Akrout, Hayet Amdouni, Amal Feriani, Monia Kourda, Latif Abid

      Pages 38-50

   6. User-Centered Design for Surgical Innovations: A Ventriculostomy Case Study

      • Jonatan Reyes, Nadine El-Mufti, Shawn Gorman, David Xie, Marta Kersten-Oertel

      Pages 51-62

3. Multimodal Learning and Fusion Across Scales for Clinical Decision Support

   1. Front Matter

      Pages 63-63

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   2. Visually Aware Metadata-Guided Supervision for Improved Skin Lesion Classification Using Deep Learning

      • Anshul Pundhir, Ananya Agarwal, Saurabh Dadhich, Balasubramanian Raman

      Pages 65-76

   3. Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information

      • Elisa Warner, Najla Al-Turkestani, Jonas Bianchi, Marcela Lima Gurgel, Lucia Cevidanes, Arvind Rao

      Pages 77-86

   4. Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer’s Disease

      • Zifeng Qiu, Peng Yang, Tianfu Wang, Baiying Lei

      Pages 87-99

4. Topological Data Analysis for Biomedical Imaging

   1. Front Matter

      Pages 101-101

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   2. Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks

      • Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf

      Pages 103-112

   3. TDA-Clustering Strategies for the Characterization of Brain Organoids

      • Clara Brémond-Martin, Camille Simon-Chane, Cédric Clouchoux, Aymeric Histace

      Pages 113-122

   4. Fetal Cortex Segmentation with Topology and Thickness Loss Constraints

      • Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price et al.

      Pages 123-133

5. Back Matter

   Pages 135-135

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This book constitutes the refereed joint proceedings of the 1^st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12^th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2^nd 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.

• artificial intelligence
• bioinformatics
• classification methods
• computer networks
• computer systems
• computer vision
• data mining
• databases
• deep learning
• image analysis
• image processing
• image segmentation
• learning
• machine learning
• medical images
• network protocols
• neural networks
• pattern recognition
• philosophy of medicine
• software engineering

• Université de Rennes 1, Rennes, France

  John S. H. Baxter

• Imperial College London, London, UK

  Islem Rekik

• Western University, London, Canada

  Roy Eagleson

• University of Sydney, Sydney, Australia

  Luping Zhou

• IBM Almaden Research Center, San Jose, USA

  Tanveer Syeda-Mahmood, Hongzhi Wang

• University of San Francisco, San Francisco, USA

  Mustafa Hajij

Policies and ethics