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Information Processing in Medical Imaging

28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Alejandro Frangi

    1. University of Leeds, Leeds, UK

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  2. Marleen de Bruijne

    1. University of Copenhagen, Copenhagen, Denmark

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  3. Demian Wassermann

    1. Inria Saclay - Île-de-France Research Centre, Palaiseau, France

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  4. Nassir Navab

    1. Technical University of Munich Garching, Munich, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13939)

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Conference proceedings info: IPMI 2023.

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About this book

This book constitutes the proceedings of the 28th International Conference on Information Processing in Medical Imaging, IPMI 2023, which took place in San Carlos de Bariloche, Argentina, in June 2023.

The 63 full papers presented in this volume were carefully reviewed and selected from 169 submissions. They were organized in topical sections as follows: biomarkers; brain connectomics; computer-aided diagnosis/surgery; domain adaptation; geometric deep learning; groupwise atlasing; harmonization; federated learning; image synthesis; image enhancement; multimodal learning; registration; segmentation; self supervised learning; surface analysis and segmentation.

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Keywords

Table of contents (63 papers)

  1. Front Matter

    Pages i-xxi
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  2. Biomarkers

    1. Front Matter

      Pages 1-1
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    2. Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design

      • Michele Guerreri, Sean Epstein, Hojjat Azadbakht, Hui Zhang
      Pages 3-14

    3. Subtype and Stage Inference with Timescales

      • Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, Peter A. Wijeratne, for the Alzheimer’s Disease Neuroimaging Initiative
      Pages 15-26

  3. Brain Connectomics

    1. Front Matter

      Pages 27-27
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    2. HoloBrain: A Harmonic Holography for Self-organized Brain Function

      • Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim et al.
      Pages 29-40

    3. Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder

      • Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei et al.
      Pages 41-52

    4. mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds

      • Niharika S. D’Souza, Archana Venkataraman
      Pages 53-65

  4. Computer-Aided Diagnosis/Surgery

    1. Front Matter

      Pages 67-67
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    2. Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

      • Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak et al.
      Pages 69-81

    3. Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease

      • Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
      Pages 82-94

    4. Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer’s Disease Progression Modeling

      • Jiangchuan Du, Yuan Zhou, for the Alzheimer’s Disease Neuroimaging Initiative
      Pages 95-106

    5. Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding

      • Gary Sarwin, Alessandro Carretta, Victor Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli et al.
      Pages 107-118

    6. Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT

      • Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu et al.
      Pages 119-131

    7. MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with \(^{18}\)F-FDG PET

      • Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou et al.
      Pages 132-144

    8. Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images

      • Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
      Pages 145-157

    9. On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations

      • Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li
      Pages 158-169

    10. Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images

      • Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert et al.
      Pages 170-182

    11. Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model

      • Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff et al.
      Pages 183-194

    12. Weakly Semi-supervised Detection in Lung Ultrasound Videos

      • Jiahong Ouyang, Li Chen, Gary Y. Li, Naveen Balaraju, Shubham Patil, Courosh Mehanian et al.
      Pages 195-207
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Other volumes

  1. Information Processing in Medical Imaging

Editors and Affiliations

  • University of Leeds, Leeds, UK

    Alejandro Frangi

  • University of Copenhagen, Copenhagen, Denmark

    Marleen de Bruijne

  • Inria Saclay - Île-de-France Research Centre, Palaiseau, France

    Demian Wassermann

  • Technical University of Munich Garching, Munich, Germany

    Nassir Navab

Bibliographic Information

  • Book Title: Information Processing in Medical Imaging

  • Book Subtitle: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings

  • Editors: Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-34048-2

  • 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: 978-3-031-34047-5Published: 08 June 2023

  • eBook ISBN: 978-3-031-34048-2Published: 07 June 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXI, 839

  • Number of Illustrations: 16 b/w illustrations, 240 illustrations in colour

  • Topics: Image Processing and Computer Vision, Computer Communication Networks, Mathematics of Computing, Computer Applications

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