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Medical Image Computing and Computer Assisted Intervention ��� MICCAI 2024

27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part III

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Marius George Linguraru

    1. Children’s National Hospital/George Washington University, Washington, USA

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  2. Qi Dou

    1. The Chinese University of Hong Kong, Hong Kong, China

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  3. Aasa Feragen

    1. Technical University of Denmark, Kgs Lyngby, Denmark

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  4. Stamatia Giannarou

    1. Imperial College London, London, UK

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  5. Ben Glocker

    1. Imperial College London, London, UK

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  6. Karim Lekadir

    1. Universitat de Barcelona, Barcelona, Spain

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  7. Julia A. Schnabel

    1. Helmholtz Munich, Technical University of Munich and King’s College London, Munich, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15003)

Included in the following conference series:

Conference proceedings info: MICCAI 2024.

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About this book

The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6–10, 2024.

MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.

Keywords

Table of contents (72 papers)

  1. Front Matter

    Pages i-xlvi
    Download chapter PDF

  2. Cross-modal and Translational Imaging, Human-Centered AI

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement

      • Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu et al.
      Pages 3-12

    3. A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images

      • Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham et al.
      Pages 13-23

    4. A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

      • Minghao Sun, Tian Zhou, Chenghui Jiang, Xiaodan Lv, Han Yu
      Pages 24-34

    5. Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding

      • Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion
      Pages 35-45

    6. Adaptive Subtype and Stage Inference for Alzheimer’s Disease

      • Xinkai Wang, Yonggang Shi
      Pages 46-55

    7. Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

      • Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang
      Pages 56-66

    8. Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

      • Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu et al.
      Pages 67-76

    9. CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

      • Yaxiong Chen, Minghong Wei, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong et al.
      Pages 77-87

    10. CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

      • Xiaowei Yu, Zihao Wu, Lu Zhang, Jing Zhang, Yanjun Lyu, Dajiang Zhu
      Pages 88-97

    11. Cross-Modal Diffusion Modelling for Super-Resolved Spatial Transcriptomics

      • Xiaofei Wang, Xingxu Huang, Stephen Price, Chao Li
      Pages 98-108

    12. Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

      • Zhengyao Ding, Yujian Hu, Ziyu Li, Hongkun Zhang, Fei Wu, Yilang Xiang et al.
      Pages 109-119

    13. Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise

      • Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez et al.
      Pages 120-130

    14. Development of Effective Connectome from Infancy to Adolescence

      • Guoshi Li, Kim-Han Thung, Hoyt Taylor, Zhengwang Wu, Gang Li, Li Wang et al.
      Pages 131-140

    15. DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

      • Xuanang Xu, Jungwook Lee, Nathan Lampen, Daeseung Kim, Tianshu Kuang, Hannah H. Deng et al.
      Pages 141-151

    16. Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

      • Jin Zhang, Muheng Shang, Yan Yang, Lei Guo, Junwei Han, Lei Du et al.
      Pages 152-162

    17. DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

      • Lucas Robinet, Ahmad Berjaoui, Ziad Kheil, Elizabeth Cohen-Jonathan Moyal
      Pages 163-173

    18. Enhanced-QuickDWI: Achieving Equivalent Clinical Quality by Denoising Heavily Sub-sampled Diffusion-Weighted Imaging Data

      • Konstantinos Zormpas-Petridis, Antonio Candito, Christina Messiou, Dow-Mu Koh, Matthew D. Blackledge
      Pages 174-183

    19. Enhancing Human-Computer Interaction in Chest X-Ray Analysis Using Vision and Language Model with Eye Gaze Patterns

      • Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu
      Pages 184-194
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Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  8. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  9. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  10. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  11. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

  12. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

Editors and Affiliations

  • Children’s National Hospital/George Washington University, Washington, USA

    Marius George Linguraru

  • The Chinese University of Hong Kong, Hong Kong, China

    Qi Dou

  • Technical University of Denmark, Kgs Lyngby, Denmark

    Aasa Feragen

  • Imperial College London, London, UK

    Stamatia Giannarou, Ben Glocker

  • Universitat de Barcelona, Barcelona, Spain

    Karim Lekadir

  • Helmholtz Munich, Technical University of Munich and King’s College London, Munich, Germany

    Julia A. Schnabel

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