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Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

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

  • Conference proceedings
  • © 2024

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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 15007)

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 (75 papers)

  1. Front Matter

    Pages i-xlvii
    Download chapter PDF

  2. Image Reconstruction

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

      • Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada et al.
      Pages 3-13

    3. 3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation

      • Xueming Fu, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng et al.
      Pages 14-24

    4. 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

      • Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng et al.
      Pages 25-34

    5. 7T MRI Synthesization from 3T Acquisitions

      • Qiming Cui, Duygu Tosun, Pratik Mukherjee, Reza Abbasi-Asl
      Pages 35-44

    6. A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

      • Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen
      Pages 45-55

    7. Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

      • Qi Chen, Xiaohan Xing, Zhen Chen, Zhiwei Xiong
      Pages 56-66

    8. All-In-One Medical Image Restoration via Task-Adaptive Routing

      • Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao et al.
      Pages 67-77

    9. An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law

      • Shiyu Xie, Kai Zhang, Alireza Entezari
      Pages 78-87

    10. Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

      • Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski
      Pages 88-98

    11. APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

      • Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin et al.
      Pages 99-108

    12. AutoSkull: Learning-Based Skull Estimation for Automated Pipelines

      • Aleksandar Milojevic, Daniel Peter, Niko B. Huber, Luis Azevedo, Andrei Latyshev, Irena Sailer et al.
      Pages 109-118

    13. Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models

      • Shivesh Chaudhary, Sivaramakrishnan Sankarapandian, Matt Sooknah, Joy Pai, Caroline McCue, Zhenghao Chen et al.
      Pages 119-129

    14. Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

      • Xing Li, Yan Yang, Hairong Zheng, Zongben Xu
      Pages 130-139

    15. Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

      • Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han et al.
      Pages 140-149

    16. CAPTURE-GAN: Conditional Attribute Preservation Through Unveiling Realistic GAN for Artifact Removal in Dual-Energy CT Imaging

      • Chunsu Park, Seonho Kim, DongEon Lee, SiYeoul Lee, Ashok Kambaluru, Chankue Park et al.
      Pages 150-160

    17. CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

      • Lujun Gui, Chuyang Ye, Tianyi Yan
      Pages 161-170

    18. Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction

      • Jianfeng Zhao, Shuo Li
      Pages 171-180

    19. Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

      • Honglin Xiong, Yu Fang, Kaicong Sun, Yulin Wang, Xiaopeng Zong, Weijun Zhang et al.
      Pages 181-190
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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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