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Medical Optical Imaging and Virtual Microscopy Image Analysis

Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Yuankai Huo

    1. Vanderbilt University, Nashville, USA

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  2. Bryan A. Millis

    1. Vanderbilt University, Nashville, USA

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  3. Yuyin Zhou

    1. University of California, Santa Cruz, USA

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  4. Khaled Younis

    1. MedAiConsult & SIIM, Leesburg, USA

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  5. Xiao Wang

    1. Oak Ridge National Lab, Oak Ridge, USA

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  6. Yucheng Tang

    1. NVIDIA Corp., Santa Clara, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15371)

Included in the following conference series:

Conference proceedings info: MOVI 2024.

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About this book

This book constitutes the refereed proceedings of the Second International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis, MOVI 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024.

The 21 regular papers presented at MOVI 2024 were carefully reviewed and selected from 29 submissions.

They are grouped into these two topical sections: Medical Optical Imaging and Virtual Microscopy Image Analysis and Kidney Pathology Image segmentation (KPIs) Challenge.

Keywords

Table of contents (21 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Medical Optical Imaging and Virtual Microscopy Image Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN

      • Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe et al.
      Pages 3-13

    3. From Feature Maps to Few-Shot Cell Segmentation

      • Șerban Vădineanu, Daniël M. Pelt, Oleh Dzyubachyk, K. Joost Batenburg
      Pages 14-24

    4. Deep Learning for Classifying Anti-Shigella Opsono- Phagocytosis-Promoting Monoclonal Antibodies

      • Elena Pianfetti, Dario Cardamone, Emanuele Roscioli, Giorgio Ciano, Giuseppe Maccari, Claudia Sala et al.
      Pages 25-35

    5. Multi-target Stain Normalization for Histology Slides

      • Desislav Ivanov, Carlo Alberto Barbano, Marco Grangetto
      Pages 36-44

    6. Intensity Inhomogeneity Correction for Large Panoramic Electron Microscopy Images

      • Oleh Dzyubachyk, Abraham J. Koster, Boudewijn P. F. Lelieveldt
      Pages 45-54

    7. Fully Automated CTC Detection, Segmentation and Classification for Multi-channel IF Imaging

      • Evan Schwab, Bharat Annaldas, Nisha Ramesh, Anna Lundberg, Vishal Shelke, Xinran Xu et al.
      Pages 55-65

    8. Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides

      • Zhuxian Guo, Amine Marzouki, Jean-François Emile, Henning Müller, Camille Kurtz, Nicolas Loménie
      Pages 66-75

    9. TRP-Net: Transformer with RMM and PPM for High-Efficiency Circulating Abnormal Cells Detection in Multichannel Fluorescence Imaging

      • Huajia Wang, Yinglan Kuang, Yanling Zhou, Xin Ye, Xing Lu
      Pages 76-85

    10. Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals

      • Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov et al.
      Pages 86-96

    11. Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution

      • Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter Schüffler et al.
      Pages 97-107

    12. CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data

      • Yunheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi et al.
      Pages 108-118

    13. Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging

      • Jiacheng Wang, Hao Li, Dewei Hu, Rui Xu, Xing Yao, Yuankai K. Tao et al.
      Pages 119-129

    14. MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network

      • Hussam Azzuni, Abdulmotaleb El Saddik, Mohammad Yaqub, Min Xu
      Pages 130-139

    15. Structured Model Pruning for Efficient Inference in Computational Pathology

      • Mohammed Adnan, Qinle Ba, Nazim Shaikh, Shivam Kalra, Satarupa Mukherjee, Auranuch Lorsakul
      Pages 140-149

    16. Histopathology Image Embedding Based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction

      • Bilel Guetarni, Feryal Windal, Halim Benhabiles, Mahfoud Chaibi, Romain Dubois, Emmanuelle Leteurtre et al.
      Pages 150-159

    17. EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders

      • Yicong Li, Core Francisco Park, Daniel Xenes, Caitlyn Bishop, Daniel R. Berger, Aravi D. T. Samuel et al.
      Pages 160-169

  3. Kidney Pathology Image segmentation (KPIs) Challenge

    1. Front Matter

      Pages 171-171
      Download chapter PDF

    2. AC-UNet: A Self-adaptive Cropping Approach for Kidney Pathology Image Segmentation

      • Xuege Hou, Eastman Z Y Wu, Guangyu Dong, Wang Yuan, Yali Li, Shengjin Wang
      Pages 173-181
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Other volumes

  1. Medical Optical Imaging and Virtual Microscopy Image Analysis

Editors and Affiliations

  • Vanderbilt University, Nashville, USA

    Yuankai Huo, Bryan A. Millis

  • University of California, Santa Cruz, USA

    Yuyin Zhou

  • MedAiConsult & SIIM, Leesburg, USA

    Khaled Younis

  • Oak Ridge National Lab, Oak Ridge, USA

    Xiao Wang

  • NVIDIA Corp., Santa Clara, USA

    Yucheng Tang

Bibliographic Information

  • Book Title: Medical Optical Imaging and Virtual Microscopy Image Analysis

  • Book Subtitle: Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

  • Editors: Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Khaled Younis, Xiao Wang, Yucheng Tang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-77786-8

  • 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 2025

  • Softcover ISBN: 978-3-031-77785-1Published: 17 January 2025

  • eBook ISBN: 978-3-031-77786-8Published: 16 January 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 220

  • Number of Illustrations: 2 b/w illustrations, 70 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Computers and Education, Computer Applications

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