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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Hayit Greenspan

    1. Icahn School of Medicine, Mount Sinai, NYC, NY, USA, Tel Aviv University, Tel Aviv, Israel

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  2. Anant Madabhushi

    1. Emory University, Atlanta, USA

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  3. Parvin Mousavi

    1. Queen’s University, Kingston, Canada

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  4. Septimiu Salcudean

    1. The University of British Columbia, Vancouver, Canada

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  5. James Duncan

    1. Yale University, New Haven, USA

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  6. Tanveer Syeda-Mahmood

    1. IBM Research, San Jose, USA

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  7. Russell Taylor

    1. Johns Hopkins University, Baltimore, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14227)

Included in the following conference series:

Conference proceedings info: MICCAI 2023.

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xxxviii
    Download chapter PDF

  2. Clinical Applications – Neuroimaging

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

      • Yicheng Wu, Zhonghua Wu, Hengcan Shi, Bjoern Picker, Winston Chong, Jianfei Cai
      Pages 3-13

    3. Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

      • Wei Peng, Ehsan Adeli, Tomas Bosschieter, Sang Hyun Park, Qingyu Zhao, Kilian M. Pohl
      Pages 14-24

    4. Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer

      • Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia et al.
      Pages 25-34

    5. Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies

      • Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steve Arnold, Colin Magdamo, Juan Eugenio Iglesias
      Pages 35-45

    6. Flow-Based Geometric Interpolation of Fiber Orientation Distribution Functions

      • Xinyu Nie, Yonggang Shi
      Pages 46-55

    7. Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis

      • Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang
      Pages 56-66

    8. FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis

      • Dongdong Chen, Lichi Zhang
      Pages 67-76

    9. Learning Normal Asymmetry Representations for Homologous Brain Structures

      • Duilio Deangeli, Emmanuel Iarussi, Juan Pablo Princich, Mariana Bendersky, Ignacio Larrabide, José Ignacio Orlando
      Pages 77-87

    10. Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model

      • Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain
      Pages 88-98

    11. Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner

      • Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen
      Pages 99-108

    12. Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI

      • Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu et al.
      Pages 109-119

    13. Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN Using T1-MRI

      • Yilin Leng, Wenju Cui, Chen Bai, Zirui Chen, Yanyan Zheng, Jian Zheng
      Pages 120-130

    14. Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments

      • Khoi Minh Huynh, Ye Wu, Sahar Ahmad, Pew-Thian Yap
      Pages 131-141

    15. AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation

      • Tianshu Zheng, Ruicheng Ba, Xiaoli Wang, Chuyang Ye, Dan Wu
      Pages 142-151

    16. Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture

      • Ye Wu, Xiaoming Liu, Xinyuan Zhang, Khoi Minh Huynh, Sahar Ahmad, Pew-Thian Yap
      Pages 152-162

    17. Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark

      • Shu Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Huawen Hu, Haiyang Zhang
      Pages 163-172

    18. Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations

      • Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker et al.
      Pages 173-183

    19. DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data

      • Deeksha M. Shama, Jiasen Jing, Archana Venkataraman
      Pages 184-194
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Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  8. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  9. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  10. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  11. Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology

  12. Data Augmentation, Labelling, and Imperfections

  13. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

  14. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

  15. Deep Generative Models

  16. Myopic Maculopathy Analysis

Keywords

About this book

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023.

The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections:

Part I: Machine learning with limited supervision and machine learning – transfer learning;

Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty;

Part III: Machine learning – explainability, bias and uncertainty; image segmentation;

Part IV: Image segmentation;

Part V: Computer-aided diagnosis;

Part VI: Computer-aided diagnosis; computational pathology;

Part VII: Clinical applications – abdomen; clinicalapplications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular;

Part VIII: Clinical applications – neuroimaging; microscopy;

Part IX: Image-guided intervention, surgical planning, and data science;

Part X: Image reconstruction and image registration.

Editors and Affiliations

  • Icahn School of Medicine, Mount Sinai, NYC, NY, USA, Tel Aviv University, Tel Aviv, Israel

    Hayit Greenspan

  • Emory University, Atlanta, USA

    Anant Madabhushi

  • Queen’s University, Kingston, Canada

    Parvin Mousavi

  • The University of British Columbia, Vancouver, Canada

    Septimiu Salcudean

  • Yale University, New Haven, USA

    James Duncan

  • IBM Research, San Jose, USA

    Tanveer Syeda-Mahmood

  • Johns Hopkins University, Baltimore, USA

    Russell Taylor

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