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Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging

12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Stefan Wesarg

    1. Fraunhofer-Institute for Computer Graphics Research (IGD), Darmstadt, Germany

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  2. Esther Puyol Antón

    1. King's College London, London, UK

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  3. John S. H. Baxter

    1. Université de Rennes, Rennes, France

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  4. Marius Erdt

    1. Singapore, Singapore

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  5. Klaus Drechsler

    1. Aachen University of Applied Sciences, Aachen, Germany

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  6. Cristina Oyarzun Laura

    1. Fraunhofer-Institute for Computer Graphics Research (IGD), Darmstadt, Germany

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  7. Moti Freiman

    1. Technion – Israel Institute of Technology, Haifa, Israel

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  8. Yufei Chen

    1. Tongji University, Shanghai, China

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  9. Islem Rekik

    1. Imperial College London, London, UK

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  10. Roy Eagleson

    1. Western University, London, Canada

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  11. Aasa Feragen

    1. Technical University of Denmark, Kgs Lyngby, Denmark

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  12. Andrew P. King

    1. King's College London, London, UK

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  13. Veronika Cheplygina

    1. University of Copenhagen, Copenhagen, Denmark

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  14. Melani Ganz-Benjaminsen

    1. University of Copenhagen, Copenhagen, Denmark

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  15. Enzo Ferrante

    1. Universidad Nacional del Litoral, Santa Fe, Argentina

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  16. Ben Glocker

    1. Imperial College London, London, UK

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  17. Daniel Moyer

    1. Vanderbilt University, Nashville, USA

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  18. Eikel Petersen

    1. Technical University of Denmark, Kgs. Lyngby, Denmark

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14242)

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. CLIP

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging

      • Lukas Zerweck, Stefan Wesarg, Jörn Kohlhammer, Michaela Köhm
      Pages 3-11

    3. Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors

      • Oded Schlesinger, Raj Kundu, Stefan Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matias Di Martino
      Pages 12-20

    4. Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative Planning

      • Jeffry Hartanto, Wee Kheng Leow, Andy Khye Soon Yew, Joyce Suang Bee Koh, Tet Sen Howe
      Pages 21-31

    5. Towards Fine-Grained Polyp Segmentation and Classification

      • Yael Tudela, Ana García-Rodríguez, Glória Fernández-Esparrach, Jorge Bernal
      Pages 32-42

    6. Automated Orientation and Registration of Cone-Beam Computed Tomography Scans

      • Luc Anchling, Nathan Hutin, Yanjie Huang, Selene Barone, Sophie Roberts, Felicia Miranda et al.
      Pages 43-58

    7. Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation

      • Nitzan Avidan, Moti Freiman
      Pages 59-69

    8. Uncertainty Based Border-Aware Segmentation Network for Deep Caries

      • Gayeon Kim, Yufei Chen, Shuai Qi, Yujie Fu, Qi Zhang
      Pages 70-80

    9. An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images

      • Guy Shani, Moti Freiman, Yosef E. Maruvka
      Pages 81-88

  3. FAIMI

    1. Front Matter

      Pages 89-89
      Download chapter PDF

    2. De-identification and Obfuscation of Gender Attributes from Retinal Scans

      • Chenwei Wu, Xiyu Yang, Emil Ghitman Gilkes, Hanwen Cui, Jiheon Choi, Na Sun et al.
      Pages 91-101

    3. Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction

      • Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
      Pages 102-111

    4. Brain Matters: Exploring Bias in AI for Neuroimaging Research

      • Sophie A. Martin, Francesca Biondo, James H. Cole, Beatrice Taylor
      Pages 112-121

    5. Bias in Unsupervised Anomaly Detection in Brain MRI

      • Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
      Pages 122-131

    6. Towards Unraveling Calibration Biases in Medical Image Analysis

      • María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
      Pages 132-141

    7. Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?

      • Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen
      Pages 142-152

    8. Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task

      • Rebecca S. Stone, Pedro E. Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
      Pages 153-162

    9. Mitigating Bias in MRI-Based Alzheimer’s Disease Classifiers Through Pruning of Deep Neural Networks

      • Yun-Yang Huang, Venesia Chiuwanara, Chao-Hsuan Lin, Po-Chih Kuo
      Pages 163-171

    10. Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer’s Disease

      • Vien Ngoc Dang, Adrià Casamitjana, Martijn P. A. Starmans, Carlos Martín-Isla, Jerónimo Hernández-González, Karim Lekadir et al.
      Pages 172-182
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Other volumes

  1. Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023.

CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.

For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. 

And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level. 

Editors and Affiliations

  • Fraunhofer-Institute for Computer Graphics Research (IGD), Darmstadt, Germany

    Stefan Wesarg, Cristina Oyarzun Laura

  • King's College London, London, UK

    Esther Puyol Antón, Andrew P. King

  • Université de Rennes, Rennes, France

    John S. H. Baxter

  • Singapore, Singapore

    Marius Erdt

  • Aachen University of Applied Sciences, Aachen, Germany

    Klaus Drechsler

  • Technion – Israel Institute of Technology, Haifa, Israel

    Moti Freiman

  • Tongji University, Shanghai, China

    Yufei Chen

  • Imperial College London, London, UK

    Islem Rekik, Ben Glocker

  • Western University, London, Canada

    Roy Eagleson

  • Technical University of Denmark, Kgs Lyngby, Denmark

    Aasa Feragen

  • University of Copenhagen, Copenhagen, Denmark

    Veronika Cheplygina, Melani Ganz-Benjaminsen

  • Universidad Nacional del Litoral, Santa Fe, Argentina

    Enzo Ferrante

  • Vanderbilt University, Nashville, USA

    Daniel Moyer

  • Technical University of Denmark, Kgs. Lyngby, Denmark

    Eikel Petersen

Bibliographic Information

  • Book Title: Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging

  • Book Subtitle: 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings

  • Editors: Stefan Wesarg, Esther Puyol Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melani Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, … Eikel Petersen

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-45249-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-45248-2Published: 10 October 2023

  • eBook ISBN: 978-3-031-45249-9Published: 09 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 314

  • Number of Illustrations: 5 b/w illustrations, 93 illustrations in colour

  • Topics: Image Processing and Computer Vision, Machine Learning, Artificial Intelligence, Computer Communication Networks, Computer Applications

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