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Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

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

  • 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 15005)

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 (71 papers)

  1. Front Matter

    Pages i-xlvi
    Download chapter PDF

  2. Computer Aided Diagnosis, Treatment Response, and Outcome Prediction

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. 3D Spine Shape Estimation from Single 2D DXA

      • Emmanuelle Bourigault, Amir Jamaludin, Andrew Zisserman
      Pages 3-13

    3. A Domain Adaption Approach for EEG-Based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

      • Xiaoya Fan, Pengzhi Xu, Qi Zhao, Chenru Hao, Zheng Zhao, Zhong Wang
      Pages 14-24

    4. A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

      • Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan et al.
      Pages 25-35

    5. A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

      • Clément Playout, Zacharie Legault, Renaud Duval, Marie Carole Boucher, Farida Cheriet
      Pages 36-45

    6. A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

      • Yichen Hu, Chao Wang, Weitao Song, Aleksei Tiulpin, Qing Liu
      Pages 46-56

    7. ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

      • Chao Liu, Xueqing Yu, Dingyu Wang, Tingting Jiang
      Pages 57-67

    8. AcneAI: A New Acne Severity Assessment Method Using Digital Images and Deep Learning

      • Léa Gazeau, Hang Nguyen, Zung Nguyen, Mariia Lebedeva, Thanh Nguyen, Tat-Dat To et al.
      Pages 68-78

    9. Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

      • Zhouhang Yuan, Zhengqing Fang, Zhengxing Huang, Fei Wu, Yu-Feng Yao, Yingming Li
      Pages 79-89

    10. Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis

      • Hongchao Jiang, Chunyan Miao
      Pages 90-100

    11. Automated Spinal MRI Labelling from Reports Using a Large Language Model

      • Robin Y. Park, Rhydian Windsor, Amir Jamaludin, Andrew Zisserman
      Pages 101-111

    12. Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

      • Jiawei Chen, Yue Jiang, Dingkang Yang, Mingcheng Li, Jinjie Wei, Ziyun Qian et al.
      Pages 112-122

    13. CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

      • Shahar Zuler, Shai Tejman-Yarden, Dan Raviv
      Pages 123-133

    14. Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba

      • Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
      Pages 134-144

    15. ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

      • Huijian Zhou, Zhiqiang Tian, Xiangmin Han, Shaoyi Du, Yue Gao
      Pages 145-154

    16. Cephalometric Landmark Detection Across Ages with Prototypical Network

      • Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen et al.
      Pages 155-165

    17. Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

      • Yuhan Zhang, Kun Huang, Xikai Yang, Xiao Ma, Jian Wu, Ningli Wang et al.
      Pages 166-176

    18. Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

      • Yihua Sun, Hee Guan Khor, Yuanzheng Wang, Zhuhao Wang, Hongliang Zhao, Yu Zhang et al.
      Pages 177-187

    19. Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

      • Peng Wan, Shukang Zhang, Wei Shao, Junyong Zhao, Yinkai Yang, Wentao Kong et al.
      Pages 188-197
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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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