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Applications of Medical Artificial Intelligence

Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Shandong Wu

    1. University of Pittsburgh, Pittsburgh, USA

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  2. Behrouz Shabestari

    1. National Institute of Biomedical Imaging and Bioengineering, Bethesda, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Lei Xing

    1. Stanford University, Stanford, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14313)

Included in the following conference series:

Conference proceedings info: AMAI 2023.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and Visualization Using Constrained GANs

    • Wei Zhao, Bozhao Qi, Yichen Li, Roger Trullo, Elham Attieh, Anne-Laure Bauchet et al.
    Pages 1-10

  3. More Than Meets the Eye: Physicians’ Visual Attention in the Operating Room

    • Sapir Gershov, Fadi Mahameed, Aeyal Raz, Shlomi Laufer
    Pages 11-20

  4. CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis

    • Carolus H. J. Kusters, Tim G. W. Boers, Tim J. M. Jaspers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens et al.
    Pages 21-31

  5. Investigating the Impact of Image Quality on Endoscopic AI Model Performance

    • Tim J. M. Jaspers, Tim G. W. Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof et al.
    Pages 32-41

  6. Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection

    • Noëlie Debs, Alexandre Routier, Clément Abi-Nader, Arnaud Marcoux, Alexandre Bône, Marc-Michel Rohé
    Pages 42-51

  7. Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models

    • Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese A. E. Hellström, Nick Tasios, Dimitrios Mavroeidis et al.
    Pages 52-61

  8. Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images

    • Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
    Pages 62-71

  9. Video-Based Gait Analysis for Assessing Alzheimer’s Disease and Dementia with Lewy Bodies

    • Diwei Wang, Chaima Zouaoui, Jinhyeok Jang, Hassen Drira, Hyewon Seo
    Pages 72-82

  10. Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging

    • Chi-en Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong
    Pages 83-93

  11. Image-Based 3D Reconstruction of Cleft Lip and Palate Using a Learned Shape Prior

    • Lasse Lingens, Baran Gözcü, Till Schnabel, Yoriko Lill, Benito K. Benitez, Prasad Nalabothu et al.
    Pages 94-103

  12. Breaking down the Hierarchy: A New Approach to Leukemia Classification

    • Ibraheem Hamdi, Hosam El-Gendy, Ahmed Sharshar, Mohamed Saeed, Muhammad Ridzuan, Shahrukh K. Hashmi et al.
    Pages 104-113

  13. Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network

    • Zhe Li, Yuming Jiang, Leon Liu, Yong Xia, Ruijiang Li
    Pages 114-124

  14. Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images

    • Zixia Zhou, Yuming Jiang, Ruijiang Li, Lei Xing
    Pages 125-134

  15. M U-Net: Intestine Segmentation Using Multi-dimensional Features for Ileus Diagnosis Assistance

    • Qin An, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Akinari Hinoki, Hiroo Uchida et al.
    Pages 135-144

  16. Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer

    • Zihao Chen, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun
    Pages 145-154

  17. Accessible Otitis Media Screening with a Deep Learning-Powered Mobile Otoscope

    • Omkar Kovvali, Lakshmi Sritan Motati
    Pages 155-164

  18. Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study

    • Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika D’Souza, Neel Dey, Lay Jain et al.
    Pages 165-175

  19. Back Matter

    Pages 177-178
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Other volumes

  1. Applications of Medical Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the first International Workshop on Applications of Medical Artificial Intelligence, AMAI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada in October 2023. 

The book includes 17 papers which were carefully reviewed and selected from 26 full-length submissions.

The AMAI 2023 workshop created a forum to bring together researchers, clinicians, domain experts, AI practitioners, industry representatives, and students to investigate and discuss various challenges and opportunities related to applications of medical AI.


Editors and Affiliations

  • University of Pittsburgh, Pittsburgh, USA

    Shandong Wu

  • National Institute of Biomedical Imaging and Bioengineering, Bethesda, USA

    Behrouz Shabestari

  • Stanford University, Stanford, USA

    Lei Xing

Bibliographic Information

  • Book Title: Applications of Medical Artificial Intelligence

  • Book Subtitle: Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

  • Editors: Shandong Wu, Behrouz Shabestari, Lei Xing

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-47076-9

  • 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 2024

  • Softcover ISBN: 978-3-031-47075-2Published: 26 October 2023

  • eBook ISBN: 978-3-031-47076-9Published: 25 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 178

  • Number of Illustrations: 5 b/w illustrations, 65 illustrations in colour

  • Topics: Image Processing and Computer Vision, Computer Applications, Artificial Intelligence, Computers and Education, Computer Applications

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